Monday, May 11, 2026

AI in education - reading the literature with a critical eye

 The numerous publication around AI in education has made it somewhat challenging to keep up with. My Google Scholar alerts collates around 10 articles every day. Other sources of reading include recommendations via various LinkeIn posts, blogs I follow, news articles and other media, and alerts from various journals. There is therefore an avalanche of material on the topic!

However, there is still a distinct gap in work from the vocational education sector. The book 'Artificial Intelligence in Vocational Education and Training' which I edited, has had over 4000 downloads. A favourable book review in the International Journal of Training Research has helped with bringing the issue of applying and leveraging AI into the specialised context of VET. More can be done, and I have put forward another proposed book to publishers, to record how the sector rises to the challenges posed by AI. VET cannot ignore AI, given its primary goal is to prepare its graduates for the world of work. All VET needs to cover Core AI literacies to ensure that VET graduates lead their industries into the ethical, principles and careful use of AI across occupations. 

There is also a need to draw on the current corpus of work on AI in education. Code Acts in Education blog warns of being circumspect with regard to publications, often spread through the blogsphere and other social media. There are also many pre-print articles being disseminated through various channels which are in the process of peer review. Recent recantation of articles due to faulty methodology also raise flags. The blog is worth reading through for the many ways in which fast, rapid publishing, is detrimental to the credibility of sound research.

Therefore, it is important to carefully evaluate articles, be patient and wait for articles to have cleared the peer review process and be published, and keep an eye on article retractions! 




Wednesday, May 06, 2026

Rebecca Frankum - NZ Vocational Education and Training Research Forum (NZVETRF) master class - on school leaving certificates

 Attended a 'masterclass' or fireside chat organised by the NZVETRF presented by Rebecca Frankum, Transitions in Upper Secondary School Education, OECD Secretariat. A recent report 'the theory and practice of upper secondary certification' authored by Hannah Kitchen and Rebecca, forms the basis for the discussion. 

Notes taken from the presentation/discussion:

Josh Williams from Skills facilitates the session. He began with an overview of NZVETR, the background to this session (the change of NZ school leaving qualifications) and introduce Rebecca - who presents from Paris.

The presentation worked through the report, with an emphasis on some of the implications and applications within the NZ context.

- Began with the importance of upper secondary certficates as it accreditates them towards the next step in their lifes. 

- Study looked into how upper secondary certificates were structured. did they incorporate and assess a broad range of skills? reflect the diverse skills and strengths of all students? enable progression to the students' next steps.

- Analysis of upper secondary certicates (71 certificates, 38 systems) on nature of assessments, who marked, what did they include, was there activity within unseen questions/tasks? allow for natural occuring evidence.

- 3 categories - certificates that include external exams, but no internal assessment; certificates include internal but no external exams; and certificates that include both (NZ NCEA is an example).

- exams still have an important role as they assess complex skills like analysis, evaluation and creating and include a range of problems, sources and multimedia materials.

- Higher education entrance exams - same exam papers, consistent marking, consistent standard of difficult, same exam conditons. Useful as 'gate keeper' - certify knoweldge, understanding and skills and facilitate selection.

- Wider range of exam formats support validity but can be hard to design and some skills (practical, social. emotional, higher order ectc) hard to assess.

- Balancing assessment approaches (fairness, credibility, relevant, manageable) supports robustness of certificates.

- Most systems (usually 3 - 2 vocational and 1 general) have separate certificates for vocational education - NZ is an outlier with one to fit everything.

- Models for designing upper secondary education include personalised systems (significant choice) (Australia, NZ, US of A), intermediate (Estonia, Poland, Denmark), structured (limited choice) (Austria, Germany, Netherlands, Switzerland).

- how vocational certificates are assessed shapes pathway opportunities. All external, all internal or both. Vocational certificates are generally all internal whereas general programmes are mostly all external. General certificates usually set by teachers and assessed externally. Whereas VET set by teachers and 'boards' and may be assessed both externally and internally.

- Achieving 'parity' across vocational and general certificates is not about just assessing the same skills and providing the same pathways, Vocational upper secondary certificates need to balange authentic assessment of practical skills and also providing pathways to higher education. Efforts fo create equitable pathways can result in close alignment to general certificates, masking the unique value and skills of vocational programmes.

- To meet the parity challenge, need to involve a range of stakeholders and assessment formats. Assess occupational skills through practical exams and workplace assessments. Involve professionals and employers through local juries or assessment boards to ensure vocational certificates represent the skills and knowledge of industry. 

Q & A followed. 

Balance between vocational and general is a challenge, fit for purpose and enable learners to be recognised for what they have developed through education. 

Modern certificates tend to recognise a wider range of skills, knowledge and attributes, beyond just the academic. Curriculum reforms tend to focus on how to accredit across the wide range. 

In NZ, autonomy from students and teachers is high. This is not the case internationally. Innovations and ways to meet the needs of learners by schools, means the consistency across NCEA is difficult to manage. Retaining this flexibility is still important. 

There is room for both external (exams) and internal assessments. The purpose of the assessments, and what is to be assessed should be the key to making the decision. 

Recognised the complexities of VET learning :) 

Good update on what is happening in the school completion certificates. There is no right/wrong approach, many challenges, and working through these require clear understanding of the purpose of these qualifications. 











Tuesday, May 05, 2026

Pedagogy, then AI

 From the blog of Medkharbach, comes a call to ensure that pedagogy comes first when using AI chatbots to support learning. 

Although the above assertion is commonsense to educators, it still requires careful consideration and an inclination to work through the many challenges inherent to bringing the 'pedagogy first' rule to the fore. 

The blog recommends drawing on two references to inform the work of educators and learning designers.

McTighe, J., & Wiggins, G. (2012). Understanding by Design framework. ASCD. - with a focus on teaching and assessing for understanding and learning transfer AND using 'backward design' for curriculum structure.

Zhang, Q., Zhang, N., & Lu, C. (2026). How do pedagogical approaches affect the impact of chatbots on learning performance? A meta-analysis and research synthesis. Educational Research Review, 51, Article 100783. AKA how to utilise chatbots effectively to support problem/inquiry/project based learning and collaborative learning. 


Friday, April 24, 2026

AVETRA 2026 - DAY 2

 Friday brings fine and mild weather. My walks to and from the conference, along the Brisbane River, provide a time to reflect and consolidate the many ideas and information from yesterday's presentations. Andrew Williamson (AVETRA president going forward to 2028) welcome delegates back to the conference and thanked sponsors and the organising committee.

The conference begins with a keynote from Kira Clarke, Brotherhood of St Laurence, .(AVETRA president for the last 4 years). She presents on Equity and inclusion: Strengthening policy, practice and inclusive productivity. Her work on equity and inclusive inclusion in VET goes back 20 years. She summarised some of the many projects she has worked on, along with the background and methodologies used. However, very little has shifted :( Focus to day on economic crises as a catalyst for change; government imaginary of VET as the backbone of inclusive productivity; and propose a framework reinvigorating a social justice vision that locates the learner at the heart.

From 1992 to the present, various productivity agendas have been drawn up on the role of VET, mostly in response to economic downturns, and the need to utilise training to raise productivity, often through VET training contribution towards a 'skilled and adaptable workforce'. ACross the years, there has been a strong policy focus on the contribution of skills to productivity. Current policy to provide equity and inclusion in VET still present and explicit. However, systemic capability and a meaningful change is missing. Therefore each subsequent system change, moves VET further away from its original commitments towards equity and inclusion.

Summarised the ways equity has been defined in policy discourse. Limited maturation in the ways equity and inclusion have been framed and in turn understood. Naming equity groups risks diluting the needs of these groups rather than recognising the barriers, across many parts of the system. Presented evidence of the current equity performance, which has been poor and not progressed across the years. These include persistent gaps in enrolment of people with disability and women, geographical inequities and inequalities and declining completions of people with disabilities and those in regional and rural/remote areas. There have been positive increases in enrolment and completions of first nations and culturally and linguistically different (CALD) communities. Therefore, although equity ambitions are present in policy, they are not consistently realised in VET.

Poatulated some reasons for the above. Structural tensions (marketisation of VET, short course funding incentives, fragmented accountability, support services pilot funded only, blunt policy instruments) limit the policy translation into actual equity outcomes for individuals and communities. 

Proposed a systems lens to understand and improve the system. Used Nancy Latham's humam systems approach - shifting system centred to person centred. Need to as what is the ideal succesful pathway, what does a challenging pathway look like? Shared the 5 Cs framework to help shape VET. Commencement, Connection to Training, Completion, Conversion of training into employment and Career continuity. How each of the 5Cs can be worked through to support a person-centred system detailed.  Reinvigorating a social justice vision for VET through human systems approach provides a way forward There is a need to shift from a 'training culture' to an 'education culture'. (See Noonan, 2010 as example). Suggested policy actions to move VET into stronger realisation of the equity/inclusivity function. 

Then, a panel session facilitated by Andrew Williamson  with panelists Shawn O'Sullivan, Amy Morgan, and Nick Howie on 'Impact of VET applied research: an activity report from TAFE Centres of Excellence. The panel included Nick Howie, Amy Morgan, and Shawn O'Sullivan. Andrew provided the background on the formation of the Centres ( (established 18 months ago) and their purpose, which includes research. Each panelist presented on their Centres. 

Shawn - TAFE centre of excellence Queensland - began with  definitions of applied research - with Berwyn Clayton's quote ' applied research is the major means of scratching constant itches that irritate us at work'!. Shared details of two rounds of applied research carried out or in progress thus far. Round one mainly information gathering and work around lithium batteries, agriculture and sustainable energy etc. Round 2 around building TAFE capabilities for R & D, addressing industry need and opportunities, and translating research  - community knowledge for aged care, disability support and skills gaps for nursing, allied health and mental health. Each with a several separate projects. 

Ann presented on TAFE NSW - manufacturing centres of excellence. Shared the various 2023 policy/documents informing the work of the centre. Establishing of 3 centres ( net zero - Hunter/New Castle; advanced manufacturing - Sydney; heavy manufacturing - Wollongong) to be completed by 2027. The centres commit to 'enrich students' learning experience, support industry needs and enable applied research programmes. Some industry challenges need to be thought through - attracting future workforce, retaining existing, aging workforce and improving productivity. Need to move towards industry 4.0 by extending on apprenticeships and trade qualifications towards accessible post-trade education, microcredentials/microskills, higher apprenticeship and applied research (5 years) and higher education, research and future tech (10 years). The two present streams of applied research are in teaching and learning and and equity stream (encouraging and supporting not-traditional people into manufacturing). 

Nick - TAFE SA centres of excellence. Summarised activity to date. Also a desktop/lit review of the frameworks, evidence practices and models/methodologies to underpin the centres. Shared work on Early childhood and degree apprenticeship (including adjustment, delivery and asssessment using Pijantjara language). Future projects include research partnerships with a emphasis on the scholarship of teaching and learning in VET. 

Q & A followed.

As with the Aotearoa NZ Centres for Vocational Education Excellence, each of the centres has a different focus, let by their state policies/governance and history. 

The four streams continue on after morning tea. I attend the following:

- Navigating change: health professionals' learning practices in digitalised work contexts - with Sarojni Choy and Maria F. Larrea. Presented a small part of a larger funded project (Investigating professional learning lives in the digital evolution of work). Covered background and rationale, the conceptual framework, methodology, findings and implications and recommendations. Across almost all occupations, digitisation is embedded in practice. These changes increase demands for expertise and judgement. Effective professional learning is required but increasingly practice-based. Professional learning patterns are moving beyond formal training. The research question was 'how do health professional experience, navigate, and learn to cope with digitisation in their everyday work? and 'what are the implications on professional development? The conceptual framework on practice-based learning is used (socio-cultural learning, practice-based perspectives, learning embedded in identity, relations, artifacts). The larger project includes survey, case studies and large scale survey. This presentation focuses on case studies with 15 health professionals - nursing, radiography, allied health, music therapy. Themes include: learning is embedded in everyday digitalised practice; digital tools are constitute of everyday practice re--production; professional judgement shapes practice in a digital world. Learning in a digitised workplaces is not skills acquisition but an intrinsic part of practice. 

Implications for VET - the need to move beyond compliance-driven continued professional development; design learning around practice, not tools; support development of professional judgment, not just digital skills; value collective and socially mediated situated learning, position VET as partner in workforce adaptation; reposition VET in digital transformation. For RTOs - recognise learning occurs in the workplace; design training around real work practices; go beyond technical skills to develop judgement; align assessment with practice-embedded learning; position RTOs as partners in workforce adaptation. For trainers/assessors - anchor learning in real work practice; focus on learning while working; cultivate professional judgment; leverage collective learning; assess learning in context. 

- Learning that works: exploring work-related training in Australia and the implications for VET - Brett Hall from the Australian Industry Group. Based on HILDA data, 40% of workers' existing skills to be transformed or become outdated between 2025 and 2030. Around 7 in 10 Australians working today require upskilliing. Work-related training 'includes structured learning activity undertaken in the past 12 months that is related to the respondent's current or future employment'. In general, over 30% of the workforce are above average in their participation rate in work-related training. Most work-related training is fully sponsored by employers and therefore mostly occurs in paid work time. Summarised the implications for VET. 

Boosting lifelong learning in the workplace is critical. Supported by comprehensive system-wide approach, unlocking barriers to investment by employers and individuals; strengthening foundation skills; and skills policy settings that encourage and enable work-related learning. Each of the components discussed. 

- Embedding student-centred learning in trades education: A continuum of change for novice teachers - Rhiannon McNamara - Unitec. Began with the Aotearoa NZ - changing governments, multiple reforms, funding shifts and fluctuating industry influence. Challenges are expectations for learners are high along with requirements to embed literacy/numeracy, cultural competencies etc.  trade professions are not necessarily learner-focused. Literature review indicates very little support for unique nees of novice TVET teachers. PD standardised and academic and qualifications provide the what but miss the how. Required context specific, personalised, familiar and strengths based and sustainable. Used action research to study and improve practice. 7 participants with no teaching qualifications from a variey of trades with 3months to 2 years in teaching. Adapted the CELTA (language learning) framework to priortise practical teaching strategies. Launched a trades teaching apprenticehip journey. Started with a needs analysis and draw up personalised PD plan; input sessions for coaching, observations, teaching, feedback on teaching; weekly catch-up; (9 months) scaffolded support; teaching qualification achieved. Collected observation notes, notes from professional discussion, anonymous student course and participant surveys. Did the intervention shift novice teachers towards student-centred teaching?? Thematic analysis against Bremner's student centred framework (2020). Over 1/2 of the participants moved positively towards adapting to learner needs, using formative assessments, sharing 'power' with students, giving students greater autonomy. Active participation was increased and relevant skills connection was already high. Findings indicate relationship-based approach (whanaungatanga) was embraced, digital competency was a barrier to progressing with teaching skills, basic teaching skills important. Whole school approach important (every 6 weeks); collaboration on teaching strategies, not just the building site; development for trades teaching apprenticeship; and creation of trades learning and teaching advisory group. Qualified teachers increased from 33% to 78%, 1 to 7 senior lecturers, 6 institutional awards and 1 national award. Transformation of identity is a key, not just skills, but becomes who they are. 

Back to the AI track after la convivial lunch.

- Students use of Gen AI in online VET in the school of business: insights for teaching, assessment, and academic integrity. - Dr. Kalpana Narayanan, Dr. Darren Turnbull, Silpi Pant and Allie Swan from Central Queensland University. Started with the context of the study. Conceptual framework was summarised through TPACK and Grow-AI. Focus groups and interviews used along with surveys. To find out why, how and when Gen AI is used. Findings indicate Gen AI present but not universal; ethical awareness and integrity concerns, support for independent learning, shared responsibility, guidelines and policy clarity important, skills development possible and AI literacy required. Therefore key findings are not all students use Gen AI, ethics remains a concern, low student recognition of Gen Ai as a learning support, students aware of their responsibilities but need clearer guidelines and Gen AI builds skills, but students need AI literacy to use it well. 

Navigating the AI revolution with an inclusive twist: strategies for ethical integration in the Australian VET sector - Dr. Tyler Payne from RMIT University. Capabilities exist so it is not the problem. It is system design and communication standards. Over 5 decades, the same 7 groups of retained their label of disadvantage despite extensive research and public programmes. Introduced institutional ethnography as a way to map policies, paperwork and systems, shape day to day work. In doing, real workflows and decision chains are mapped, brings to light administrative labour, reveals how policy shapes language and practice, produce field evidence and case examples, and map RTO, teacher and industry communication gaps. Generally, insitutions recognise one kind of communication as professional. Recommended drawing on Norway's language bank (2024) establishing open shared data infrastructure built on transparency, privacy and user consent. Ethical Ai frameworks are mandated with a focus on human rights and inclusivity. Human oversight maintained in all AI decision making. Shared the neuro framework to name the system, expose the gap, use the data, redesign daily practice and own the change. Institutional ethnography helps us understand what is happening. Carnal sociology tells us what it feels like. NEURO framework helps to work out what to do next. A useful framework applicable to many circumstances. Shared various resources, including a communication guide - learn to code switch. 

A panel on workforce needs and skills priorities: a cross sector perspective, facilitated by Natasha Arthars, closes the conference. Panelist are Dr. Aneeq Sarwar (Workforce planning), Dr. Niall Smith (Skills insight)  and Craig Robertsonn (Victorian Skills Authority).  

Aneeq began with the importance of enabling people to operate beyond a task. Doing the task is surrounded by many other skills with being able to identify what has to be learnt next, a key skill. Niall provided example of 'traceability of food' where by it is not new skills to be learnt, but adaptation of current skills. Craig advocates the use of educational institute instead of provider and to respect teachers/educators's perspectives. Tight job market but qualifications have value but often, someone with the right attitude is more important. Teaching is an example of where having a degree, may not prepare one for the teaching techniques required to engage diverse cohorts of students. Again, those who are ready to continually learn, have an advantage. 

The panel moved on to the impact of technology (and AI) on work and skills. Craig postulated using AI to develop training packages to help maintain their currency. Technology changes the ways things are done, and these lead to behavioural changes. How are these worked through and how do they affect the workplace culture? Therefore, technology is not only a structural shift but leads to behavioural/culture change. Leadership is important when change is rapid and new technologies are available with little time to plan their implementation and use. 

What are the skills that are essential? Human focus through communication and collaboration are key components going forward. Technology has been making things safer, less manual, less complex/ onerous/ repetitive but human contribution is still required. Human's abilities to use tools to craft unique bespoke/designed items will remain. Experience is important as wisdom is difficult to replace with AI. Problem solving draws on deep understanding of specialist processes. Innovation also comes from expertise. However, need to relook at how much expertise is required, given the time required to attain it. Exampled with doctors, specialists had heavy cognitive load and AI can replace some of this. So, perhaps, into the future, more generalists physicians and a few specialists? Employers are keen on workers with good soft and metacognitive and problem solving skills and willing to train for specialised work processes and tasks. Adaptability and flexibility are important skills going forward. 

Research on workforce needs and skills will have to focus on research quality, ensuring data and analysis integrity, given that AI will be used. Science of learning and learning design now required to understand how pedagogy, given the challenges brought through by AI and the need for workers to ramp up their skills to continually learn, unlearn, and relearn. 

Conference closed with thanks to sponsors and the conference committee. Next years conference will be in Melbourne 14-15th April.

An enjoyable conference. As always, good to catch up with kindred spirits. This year's presentations were well-focused, relevant with several providing concepts and resources to draw on. 

Thursday, April 23, 2026

AVETRA DAY ONE - Afternoon

After lunch, a series of panels, followed two sessions in each of four streams.

First up, a panel session on 'apprenticeship completions' facilitated by Dr. Warren Guest. The panel include Suzi Hewlett (Manufacturing skills alliance), Brett Schimming, (Build skills Australia)  Quinn Sunderland, Manufacturing skills Queensland) and David Camper (VET educator / employer - motor engineering). Warren provided some background and the reasons for the panel which is sponsored by the Manufacturing sector. Apprenticeships have a long history, continual challenges with regard to completions, and in the age of AI, perhaps needs to be reconsidered. 

Suzy summarised a recent report undertaken on skills. Apprenticeship uncompletions have historically been high - dating back to the guilds! NCVER carried out the project with manufacturing apprentices starting 2019 with over 1000 apprentices data analyses. Custom data used - with many going through several employers to complete, bringing the 50% to a 60% completions rate. Workplaces in regional areas tended to have higher completions. Priority cohorts lower than average. Most common for driving non-completion are workplace factors - usually based around affordances to training. Also mismatch between off and on job 'curriculum' due to equipment availability. Flexibility and RPL availability also cited. Need to improve supervisor training, wrap around support for apprentices, and financial incentives for both employer and apprentices.

Brett agreed the themes similar in the Building industry. However, some contextual differences. Workplace culture and behaviour are factors. Many apprentices leave a workplace and move into another to try to complete. Lack of flexibility in 'time served' also an issue as the difference between apprentice wages and 'qualified' wages is large. 

Quinn encouraged research in to finding out if the apprenticeship non-completion rate is 'set' and how this challenge can be met. Mismatched expectations between apprentices and workplace.can be one factor. Economic reality of apprenticeship is that there is a disconnect between what young people are interested and what is actually available. Example of fashion for people wanting to become designers, but what the industry needs are sail makers. 

Suzy shared learnings from using promotional tasters, try a trade, etc. and found not one method was better for exposure. Media exposure often lead to increased interest in an occupation but the realities often mean many do not continue. Increased average of apprentices as people decide later in life to commit. Stickiness is difficult, especially if the work is challenging/difficult and workplace culture is not supportive. Discussion amongst the panel on above. Economical viability in many SMEs means that training and dealing with novice worker.is now too difficult. However, apprentices still well regarded and needs to be supported.

David reiterated that industry needs to put in the commitment. TAFE and school not able to train for every variation for job tasks. Industry still needs to play their role. Perhaps training for workplace trainers/supervisors etc. will be useful. In general turnover in all jobs is between 2 - 3 years, which is less than apprenticeships of 3 - 4 years. School pathways need to provide opportunities for students to 'try things out'. Decisions can be made to engage or that an occupation does not match.  

Brett discussed certification of trainers. However, the key is that it is not just trainers but the ecosystem in the workplace may not still be supportive. However, trainers need to understand how to get the most out of their apprentices, and care for their workers. 

The panel provided examples of things that work. In particular, flexibility in how training is availed, matched to the needs of learners and employers. 

Then a presentation on the Australian - Indian - advancing research programme  with Deepak-Raj Gupta (0n video) and Sonal Nakar. The programme with the Australia-India Business Council over 40 years. Sonal detailed the delegation to India and the various initiatives that were discussed and experienced. Opportunities are available with various institutions, centres of excellence etc. for joint projects with possible funding streams for research. 

The conference convened to provide a tribute to Berwyn Clayton, who passed on a few weeks ago. She was a prolific Australia VET practitioner, researcher and AVETRA leader. Andrew Williamson initiated the session. Tributes presented from various AVETRA members both f2f and from online messages.

Two 'long presentation' sessions across the 4 streams then occurred. I stayed in the AI stream.

- 'Gen AI and assessment in VET: A systematic review of three wicked problemss" a PRISMA 2020 systematic review of Gen AI and assessment in VET - with Geethani Nair (Skills Bridge Solutions). Project completed with Dr. Wijendra Guanthilake amd Ishini Hathruisinghe from Sri Lanka. VET Gen AI problem is structurally different from Higher Education (HE). In HE there is a focus on academic integrity frame; VET has a workplace competency frame - use of AI required and it is around capability with AI. Gen AI already in the classrooms. 

54 peer-reviewed and grey literature, 3 interlocking wicked problems unique to VET assessments and compared Australia and Sri Lanka national systems. Research Questions include - how can VET providers maintain industry cridibility when integrating Gen AI in assessment?, How can VET providers preserve the employer validation of graduates' independent competency? and How can VET providers ensure assessment authenticity while leveraging Gen AI in rapidly changing technological and workplace contexts? 

Identified 412 (2022 to 2025), screened to 186, 98 eligible and 54 included in synthesis. For RQ1 - students use Gen AI to produce written deliverables; even authentic workplace-relevant tasks can be Gen Ai substituted without reliable detection. Therefore for RQ2 - detection dominates; For RQ1 - workflow integration across browsers, word editors, etc. so for RQ2 - redesign of assessments is uneven. In RQ3 authenticity as design fails as is does not prevent substitutions. RQ HE guidance imported but scarce in VET. 

Wicked problems require institutional rather than purely technical response. Require ongoing management rather than single-point solutions. Identified 3 patterns as wicked problems. Industry credibility becomes challenged if detection dominates. Even VET's preferred response must go further than task design - as redesign of assessments is uneven. No common language between employers and RTOs for what counts as valid - as HE guidance imported and not always relevant to VET. 

Therefore assessment design needs to account for industry credibility,  employer validation and assessment authenticity. Shared recommendations for each. Provided examples of how challenging each of these wicked problems is. Across the two systems, Sri Lanka has a larger digital divide, so the context is different. Recommends for RTOs, policy, and practitioners. Phase 2 will interview students and VET educators to see what the wicked problems mean. 

- I then present on 'the changing role of VET educators in the age of AI: from 'guide on the side' to 'conductor of learning'. The argument was for greater pedagogical understanding to ensure that AI can be deployed effectively to support learning. Implications of using AI which is relevant, ethics around how to deploy, AI use replacing actual deliberate practice, and care needed when using AI to support teaching admin and resource development.

AVETRA AGM followed and the conference dinner. A long but productive day. 


AVETRA 2026 - DAY ONE -morning

 This year's Australasian Vocational Education and Training Research Association is held in Brisbane.

Workshops begin the yesterday, and I co-facilitate the session on 'dos and don'ts for publishing in the International Journal of Training Research which I co-editor with Associate Professor Teressa Schmidt.

Thursday begins with a welcome from Kira Clarke, AVETRA president and a welcome to country. Always an interesting session on the history of the country with the stories/songlines. 

The first keynote is with Dr. Don Zoellner. He provides an overview and perspective to start of the conference with 'Reframing VET's past: what happened when governments declared their policies and then instigated them? Check recent article in JVET.

Focus on the continuum how government policy (from 1980s) have been acted on and the consequences of these. The National Reform Agenda set out in the early 1990s has been resistant to fundamental change. Argued that VET and HEZ were never designed to be joined up, as they have unique and different social, political, economic contributions to national development. Using Fouchault's interest in how problems can be novel responses within specific fields of action. 

In the 1980s, the global economic environment challenged Australian economic and social foundations. By 1989, the NTRA set up the 'skills focus'. Presently Jobs and Skills Australia forecast that 9 out of 10 jobs require post-secondary qualifications. Therefore, still a similar approach. wen through the essential items across the decades - equity (access); quality (standards, assurance, accreditation of providers etc.); industry needs (alignment to needs, competency-based); training as an investment; opportunities and outcomes for individuals (flexible delivery, portability, choice etc.); National training system (registration, accreditation etc.); outcomes standards; VET markets as intended; research implications (focus on governmental national strategies/goals). Ended with a summarise of where to next. There is inertia in better understanding what is to be undertaken; OECD reports often not drawn on to inform how Australian VET could move forward; the original intend of VET retained; use data to find out what has worked (rather than what has not); to change something, is not to fix something but to extend the things that work! 

The keynote is followed by a ministerial address from Andrew Giles, Minister of Skills and Training. Supportive of the work of VET to be an 'equaliser' for many Australians. Ran through the various initiatives set out by the present government to increase access and opportunities. 

Plus an update with Craig Robertson, CEO for the Victorian Skills Authority. Drawing on the opening keynote, there needs to be a bridge between research and implementation to improve VET. VSA has had a MOE with AVETRA to fund researchers to undertake research on key aspects of VET. Used RPL as an example. RPL should be used to recognise skills that can be transferable, not just the ones that are specialist. Encouraged researchers to keep at it :) Work undertaken many years ago, still drawn on to inform new policy formation. Finished with comments on the challenges of the future, the need to prepare the future workforce for rapid change and ongoing geopolitical turbulence. The VET system has remained the same, bur does it need to change? Australia still retains competency-based qualifications in its purest form, yet every other country has moved on, beyond CBT. Encouraged the shift to learner-led and learning-focused learning rather than the need to assess and certify work tasks.  

After morning tea, presentations begin across 4 streams. I stick to a stream with a technology/AI focus.

- AI integration in VET: a scoping review - with Caroline Constant and Natasha Arthars. AI now being shaped globally with rapid developments. Research specific in VET remains fledging and fragmented, as most still from HE and formalised school sector. To find out 'how are AI used  VET'. PRISMA framework literature review from 2019 to April 2025, including peer-review journal articles, conference papers, and book chapter. From 436 studies, 46 papers included and with 18 emperical studies. 

Reported on initial findings - 18% conceptual, 39% empirical, 11% review and 11% other. Balance between qualitative and quantitative and 22% mixed methods. No longitudinal studies. 72% on vocational qualifications. ChatGPT used the most along with no specified tool! Pedagogical applications of AI in VET focused on performance/assessment, training delivery and learning supports, and engagement and satisfaction. 

Shift in teaching and learning - teaching becomes generating materials, configuring AI-mediated activities, overseeing supported environments, reducing workload. Learning becomes interacting with AI systems, personalise pathways and feedback. Knowledge changed to AI being a disruptor and contributor. 

Next steps - evidence -based AI pedagogical application in VET remains limted and uneven. Shift of focus from traditional forms of performance and assessment to learning embedding higher order skills, Ai literacy and fluency of VET and educators remains a 'black-box' There is a need for empirical studies in Australian VET. 

- The digital mirage: unmasking poser, compliance and neoliberal governance in online VET professional development  - Christopher Ward & Dr. Piper Rodd (Deakin University). Based on PhD on the value VET practitioners bring into professional development. Began with a context, shared emergent data and the 'AI gap' management 'efficiency' vs practitioner 'exclusion'. Analytical framework revolved around discourse around power and identity using Foucault framework on power, subjectification and the digital panopticon. Comparison between the mirage (rhetoric) and the reality (lived discourse) whereby online PD functions as a 'technology of neoliberal governance'. Detailed methodology with 12 participants (7 practitioners, 5 managers). Findings in the 'generic mirage' (professional diminishment, cycles of trends rather deep pedagogical development, compliance). Interpreted through Foucauldian lens and shared possibilities for moving forward. 

- Harnessing the power of problems for innovative VET course design - Steven Hodge, Natasha Arthars and Mike Keppell. Proposed the project as being a tryout for a post-competency Australian VET. The project drew on problem-based learning to develop a programme/micro-credential for a new/emerging technologies. The context of is in advanced manufacturing industry and the project through the TAFE NSW manufacturing centre of excellence. Involves higher apprenticeship, and also community driven strategies and targets key equity groups. 4 year project with TAFE, University and industry partnership. Project includes development of microskills, microcredentials, and higher apprenticeships (details at the centre site).

The research study undertook a literature synthesis, horizon scanning and semi-structured interviews with industry associations, SMEs, and TAFE head teachers. To find a generative advanced manufacturing problem for applied research (level5) for SMEs. Interative hermeneutic circle/spiral approach followed by thematic analysis of the data. Findings included shared contextual conditions that shaped the problem; three overarching problem areas - digital manufacturing, reverse engineering and mass customisation, resulting the problem frame of digital manufacturing as a shared problem domain for students to work through. 

Shared David Jonassen's (2011) analysis of problems for problem based learning includes 5 'external' characteristics - structuredness, context, complexity, dynamicity, and domain specificity. This framework is proposed as a way to frame the problem based learning approach. Working through these, provide one way to focus on the range of 'generic' skills attained through completing the problem based inquiry. Argued that applied research as pedagogy is viable. Students complete literature review, interviews, observations, descriptive statistics, and analysis. 

Next steps include upskilling TAFE teachers and then the students to carry through the project. Implications are that it is radical departure for VET curriculum and pedagogy (in Australia) PLB rather than competency; future focused rather that rooted in present and past; equips for uncertainty, change and emergent types of work; can intergrate with skill-based microcredentials to serve as capstone course, integrating and extending existing learning; recasts the VET educator ad facilitator of industry-based applied research. 

Networking for lunch follows. 

Thought provoking keynote, followed by contributions from the following speakers provide food for thought. A diverse range of presentations with a range of perspectives. 



Monday, April 20, 2026

AI in education - future we choose - Derek Wenmoth

 Derek Wenmoth summarises webinars he participated in on AI in education. Although written with the formalised school context in mind, many of the principles apply across educational levels and sectors.

Although AI is not new and has been around for decades, the arrival of LLMs provided a usable form of AI accessible to the masses. In Derek;s blog, he summarises the real tension between AI and education. For humans to be able to grow and develop as critical thinkers, requires effortful learning. AI replaces effort by providing the solution. Unlike calculators, who are often adjuncts that require human understanding to utilise (we need to put in correct numbers in a certain sequence to obtain responses), AI chatbots provide viable looking answers when asked to complete a task - say write a paragraph on xx.

Derek argues that the Aorearoa NZ school system, privileges learning as a form of economic asset. Hence, learners 'collect' credits rather and treasure the learning journey in itself. VET is not immune to this perspective. VET's primary objective is to prepare people for work. Therefore, students enrol with the purpose of attaining a qualification that will open opportunities for work. Never mind the learning required to actually meet qualification graduate outcomes! VET challenge is therefore to always prepare graduates for the world of work, and to ensure the student who does the work also does the learning.

The title of the webinars embedded into Derek's blog calls for 'AI , education and the futures we choose'. As educators, it is even more important now, to understand how learning occurs, can be supported for a diverse range of learners, and made engaging, and authentic. This challenge will not go away, AI is here to stay whether we like it or not. Pragmatic acceptance is not the way to meet the challenge. Instead, evidence-based and context-based understanding are keys to using AI in a careful and targeted way to support teachers, and learners/students to attain the critical thinking skills required to maintain humanness into the future. 





Monday, April 13, 2026

Irreplaceable: How AI changes everything (and nothing) in teaching and learning

This book 'Irreplaceable: How AI changes everything (and nothing) in teaching and learning, argues for a balanced view on AI and its application to education (mostly within the formalised schooling context).

It is authored by Maya Bialik and Peter Nilsson. 

After an introduction, presenting the background and rationale for the book, there are 7 chapters an an epilogue. The chapters are organised into 3 sections:

- For the teacher - to use AI as a research assistant, a planning assistant, and as a feedback assistant.

- For the students - using AI as a learning assistant, and a doing assistant.

- For the classroom - AI can be used as an adminstrative assistant, and teaching assistant/instructional coach.

The book celebrates the skills teachers bring, but also offers solutions and ideas as to how to deploy AI to support the processes of teaching, learning and classroom administration. Teachers' wisdom is of prime importance as they are the ones who need to orchestrate how AI can be used to support teaching and learning. It is important for teachers to have high AI literacy, so that the are able to make informed decisions on teaching and learning and the use of AI. All in, the book is a good addition to the AI in education literature, written for teachers by authors with a passion for teaching. 


Monday, April 06, 2026

Smart glasses - uses in vocational education

Smart glasses have been around for some time. However, they are expensive and have had many iterations with many tech companies providing various versions over the last decade. Last year, a flurry of activity generated renewed interest in smart glasses' potential. Despite a buggy official launch by meta, the Meta Ray-Ban glasses have had generally positive reviews. 

The glasses have been on sale September 30th in the US of A and early 2026 for other countries. 
Wi-Fi is required for Meta AI and importing media. However, you can still take photos and videos, listen to audio from your connected smartphone via Bluetooth, and check battery levels without Wi-Fi, though you'll need to connect to a phone's internet via cellular data to import captured media or use online features like Meta AI. 

Various spectacle companies have joint ventures with Meta and this could be the strategy that will bring smart glasses into the mainstream. Meta works with RayBan and Oakley to provide glasses across fashion categories. With Oakley, the target market is for sports and adventure, the Oakley Vanguard are sports glasses designed to be more durable and optimised for outdoor use. They connects to Garmin, extending the opportunities for outdoor real-time vlogging.

This youtube video reviews the Rayban and Oakley versions, landing on a mostly positive note.
JISC has published an overview of smart glasses and their potential in education. As with this previous article there arepros and cons for smart glasses. The JISC article undertakes a comparison of six smart glasses is undertaken. 

Overall, although the technology has been around for a while, the technical challenges 
are still presentand are being worked through. For vocational education, the integration of AI into smart glasses, 
along withAR/VR/MR need to be followed closely. The main deterrent at the moment is costs as it will 
be too costlyto equip an entire class with smart glasses in a workshop. Some trades workshops will also find 
WiFi a challenge to maintain when multimedia is being used across multiple devises. 

However, these technicaldifficulties do not mean we do not try things out. There are many other factors to 
work through, including aspects of practice-based learning safety considerations. 
We need to keep an eye on the costs of smart glasses and as they hopefully become more accessible from a 
cost perspective, be ready to pilot them.


Monday, March 30, 2026

Inquiry in action: Using AI to reimagine learning and teaching: Case studies from the frontline of Higher Education practice

 This open access book, collates a series of case studies from the University of Queensland on 'Using AI to reimagine learning and teaching: case studies from the frontline of higher education practice.

It is edited by Rachel Fitzgerald. 

The book begins with an introduction from the editor, followed by 12 chapters. There are 11 'case studies' with a final collation of themes chapter. 

There are chapters on AI literacy (chapter 1); ethics (chapters 2 and 3); inclusiveness (chapter 4); subject-specific chapters (1 - health, 4 - dentistry, 5 - dietetics, 8,10 -economics/business); inquiry-based learning (chapter 6); Critical thinking (chapter 7); web/mobile development (chapter 9); with application of relevant pedagogy across most of the chapters.

Useful for providing examples of the may ways in which Gen AI can be integrated into learning activities. Discipline/subject examples help our teachers visualise possibilities. 



Friday, March 27, 2026

ATAIN - #3 presentation for 2026 - Dr. Brendan Sheridan on 'old problems, new tech

Today's presentation is from Dr Brendan Sheridan, Teaching and Learning Developer from Te Puna Ako - Centre for Tertiary Teaching and Learning, University of Waikato.

The abstract is: This talk discusses the various factors driving use of Generative AI by students, in particular unauthorised use of Generative AI. It applies an adapted framework of Unified Technology Utilisation and Acceptance Theory 2 proposed by Bouteraa et al., 2024 and compares it to the Academic Integrity Motivation framework of Murdock and Anderman (2006)

Presented on 'motivation factors for Gen Ai use in tertiary education. Covered the framework above (Bouteraa et al.); overviewed more literature along with student engagement along these parameters. The moved to Murdock & Anderman and the case study at UoW.

Summarised the UTAUT & UTAUT2 which is a large framework. Bouteraa et al's driving factors for understanding the diffusion of Gen AI. The second framework on motivators for using Gen AI is tighter and more aligned to Gen AI.

Moved to short review of the literature (6 readings). Themes include Gen Ai being easier to get into then previous AI tools; media commentary and social discussion about Gen AI increase student's willingness to use it. With educational self-efficacy, use of AI connected to a sense of succeeding academically. Some use it as a reflective tool and refine thinking. However, solid disciplinary knowledge needed to use Gen AI effectively. In technological self-efficacy, many ways to use it positively - improved productivity, ability to synthesise content etc. Risks of privacy and transparency acknowledged.

Personal anxiety picked up - performance academic anxiety drives adoption of Gen Ai tools, however, academic integrity affected. Perceptions that Gen Ai use is unethical, this leads t cautious adoption of AI, overly embracing AI content lead to assuming students used AI for assessments, and sceptical students avoiding AI altogether.

In general, contextual and individual influences may push students towards breeching academic integrity.

Commonalities between the frameworks are that the purpose, is weighed up with can it be used and the costs of being caught.

UoW case study (Fester, 2025) on taught Masters programme. Some came from work where Gen AI was used. Students co-constructed AI policy with lecturer. 50% used Gen AI to complete assignments. 74% of students completed the survey.

Awareness of AI and integrity through co-construction of the Ai policy. Students felt well supported and appreciated importance of Gen AI in future work and learning. Various tools were used - Chat GPT, Copilot, Grammarly, Deep Seek. Used to explain concepts, check grammar/spelling, improve / proof read writing, summarise readings, draft communications.

Student perceptions indicate academic integrity policies on their own are insufficient. Saw Gen AI as cognitive/research assistant. Used critical engagement to filter information. Aware of limitations and challenges. Perceived that lecturers need to rethink assessments. Inconsistent messaging across programme on use of AI. 

In general the students' motivation factors was on performance, effort and social dimensions. There was awareness of Gen Ai limitation, critical engagement with AI, inconsistent messaging across programme alleviated by lecturer and awareness of academic integrity and understanding the inappropriate use of Gen AI.

Moved to teaching and instructional design response a UoW. Shared the factors around staff engagement and the active PD provided to support lecturers and impacts on self; and across the university. 

Considerations for the future: Bouteraa et al framework useful towards understand students' motivation. Motivation and use are not the same. important to mitigate users' anxiety; integrity not only around use but to support student's appropriate use of AI; external factors like user training and clear assignment instructions can help mitigate ideas for self-efficacy and alleviate user anxiety. 

Q & A followed. 

Monday, March 23, 2026

Microsoft Copilot - supporting research

 This article, was published mid-2025, providing an overview of the impact of Copilot researcher and analyst agents on work. 

Having now used both for 6 months plus, my take on these two agents, is that they can be useful, but need to used with care. 

1) working out what is to be done is important. Responses from researcher or analyst agents, arise through the prompts provided. Careful structuring of prompts is therefore essential in obtaining the types of actions required. Otherwise, researcher may go off topic quite easily.

2) providing context is important and delimiting the researcher/analyse agents to specific papers, websites or attachments help ringfence the direction of responses.

3) using the prompt writing agent in Copilot can be useful for tightening prompts.

4) ensuring that 'work or 'web' is selected, along with depth of responses (auto, quick, think deeper) helps again to ensure responses fit expectations.

5) Triangulation is always required, to check the validity of the responses. Limiting resources also help to save time, so that triangulation is restricted and does not have to go all over the place.

6) Draw on the advantages of AI. Summarising key points, comparison of key points across papers/sites, drilling deeper to extend insights, providing 'neutral' perspectives on conceptualisations, frameworks etc.

7) be aware of 'cognitive debt' / 'cognitive atrophy' and how this can come about very easily when your critical thinking is replaced by AI doing the work. You still need to read deeply, cogitate, make your own judgements and come up with your own synthesis. Then use AI to cross check these and see if it provides other insights which are viable.

8) Continue to learn how to manage AI to draw on it's ability to automate some research processes. The key is to use AI as a thinking partner, not to replace your own effortful thinking.




Friday, March 20, 2026

Copilot agents

A bit of 'research' into Copilot agents this morning, following on from yesterday's session on building agents in CoPilot. 

Microsoft 365 Copilot Premium (now often simply M365 Copilot) offers "declarative agents" designed for lightweight, personalized tasks using organizational data, managed within the M365 environment.  on the other hand Copilot Studio enables creation of advanced, custom agents with complex, multi-step workflows, API connections, and full lifecycle governance.

Microsoft Copilot Studio in New Zealand is generally licensed as a tenant-wide capacity 

pack, starting at approximately NZ$323.60 per pack/month. This subscription provides 25,000 "Copilot Credits" monthly, which are consumed when agents complete actions or responses

The cost of Microsoft 365 Copilot in New Zealand varies depending on whether you are 

purchasing for an individual or a business, with prices generally starting around NNZ$34–$40 per user/month for business subscriptions

Microsoft 365 Copilot for Education is priced at approximately NZ$30–$32 for academic institutions. This specialized academic license provides AI-powered assistance for faculty, staff, and higher education students, acting as an add-on to existing Microsoft 365 A3/A5 license.

Templates for business type agents include a Quiz tutor template and a series of  'assistants' for various job tasks including travel planning, peer feedback agent, training content writer.

A guide for educators  provides ideas for using agents in educational settings. 

Overall, there are good possibilities :) 


Thursday, March 19, 2026

Microsoft - introduction to building agents

 The last in the 'back to campus series' offered through Microsoft (based in Australia). 

As with the other two sessions I attended, Jennifer Ruan is the facilitator and Victor Kochetkov does the demonstration.

Notes taken during the session:

Covering what are agents, what tools exist, to through building an agent and Q & A. 

Explained Copilot as a user interface for AI. Currently there are agents accessible through Copilot and also customised agents can be build in individual copilot accounts.

Copilot is for human augmentation, private, personal assistant and 1:1 interaction.

Agents connected to Copilot, chat or autonomous and can contact with other agents.

Out of the box agents on Copilot include surveys, researcher, analyst etc. If (frontier) then they are in initial phase.

Copilot is off the shelf, retrieval only and connects to Microsoft 365 only. Copilot Studio provides task/autonomy and for developers with more complex task. Developers can also build customised agents with Copilot Studio + Azure AI.

Went through Copilot - using 'new agent' on the left menu to access. Generally, describe what you want to do, configure the agent by adding knowledge and capabilities, try out as it is being build and then use/share with others. 

Copilot agents can be shifted across to Copilot Studio to make them more sophisticated. Studio has more comprehensive tools, wide selection of models, able to publish to multiple channels and has more powerful orchestration. 

Agents generally retrieve information and reason, summarise etc. They can also take action to automate workflows and replace repetitive tasks. Automous agents will operate independently, plan, orchestrate other agents, learn and escalate. 

Example in education, an IT helpdesk agent, devise refresh agent, research tracker agent, budget management agent, study guide agent, student support agent etc.

Note: agents build in premium cannot be used by others who only have access to Copilot basic without extra billing!!

Demonstrated how to create an agent. I create one to compare Learning Outcomes against NZQA criteria in 2 minutes! Also, ask prompt agent or chat to help create the agent, providing the best prompts to use. Copilot studio has help and examples, along with templates for creating agents. Analytics are also available. Evaluation also possible, to test an agent. Remember to use AI to do the work where required. 

Discussion on who will see or have access to the agent as various people in the institution have access to various type of Copilot (basic/premium). Also with each type, there are functions that some have access to and others do not :(

A link from Moodle for a agent will work - if the learners have the right version of Copilot and use it within their Ara digital environment. Otherwise, Copilot Studio needs to be used. 

Another series later this year is seeking pre-registration - Future ready with Copilot.


Wednesday, March 18, 2026

Cowork by microsoft - alternatives

 Yesterday's microsoft presentation introduced Cowork. To have this available in my institution's Copilot premium, requires the turning on of access to Claude. I can see some advantages to having Cowork, as it automates tasks which are carried out, often across several apps, regularly.

An AI query (on Google) reveals that all the other main LLMs have equivalents. Claude itself has Claude Cowork. Open AI has 'operator' which costs US$200 a month. Google has Project Mariner. Manus and even Amazon (Nova Act) also have similar capabilities. 

Plus, there are a whole host of  enterprise tools - Eigent, OpenClaw,  Composio etc. O-mega offers an overview of 10 Claude Cowork alternatives 

Therefore, agentic AI is now mainstream and will have further reaching implications on work and education than Gen AI itself. 



Microsoft - Copilot chat for researchers

 Notes from a session with Microsoft on how researchers can use Copilot chat (M365 copilot (licenced) for researchers (aka Copilot premium).

The same microsoft representatives hosts and deliver the workshop.

Jennifer Ruan is the facilitator and Victor Kochetkov does the demonstration.

The session explores literature reviews, data analysis and research documentation.

Shared recent CSIRO's six month M354 Copilot trial with 7,400 Australian Public Service staff. In general, 1 hour saved each day with ability to reallocate 40% of time to higher level research activities (analysis, discovery and strategic thinking). Copilot can assist with literature reviews, grant applications, meeting and collaboration time, data analysis bottleneck, document drafting.

Demonstrated upload of document to interrogate it with the standard chat. In Auto, there is ability to select different LLMs (we seem to only have ChatGPTs but access to Sonnet, Claude etc. possible). Used notebook (only on premium) to store responses along with how to bring the sources /suggested references and sites into the notebook. Then how to share notebook. Audio summary is available (quick create button) similar to capability in Notebook LM. Study guide is available (but not on my version of  Copliot). The chat next to the notebook has the option of bringing in the Researcher agent (button not to the +). 

Then when through how to use Analyse agent to summarise trends in an uploaded Excel files. Then transfer of these into pages by using the edit in pages button (icons at bottom of response).

Copilot notebook is like Onenote (storing a variety of files). Copilot pages stores responses. Onenote files can be uploaded into notebook or chat to be used for analysis etc. by Copilot. 

Excel and powerpoint agents are also not available on my version of Copilot :( 

Previewed the 'cowork' agent which will be avaialble (for some probably!!) next month. This seems to automate tasks like organising your inbox, organising your week, prep for a meeting, research a company, find files and merge or bring files together in a certain way or for a certain purpose etc. basically pre-prompted tasks. Needs Claude to work so if this is not in your LLM list then need to work with IT to see if it will be available. 

Need to check with local organisational IT for access to LLMs other than ChatGPT and also for Excel/ Pp. However, for Excel and ppt, Copilot integrated into these and can be used when each is opened, just not connected to the Copilot premium chat.

A bit of a marketing at the beginning and usual whizz through all the various items. Will view the recording again to catch up on missed items!



Monday, March 16, 2026

Generative AI in education: Theories, applications and ethical frontiers - overview

 This book collates 21 chapters on how Gen AI is shifting education and the role of educators in understanding and utilising AI to support teaching and learning.

The book is edited by G. Durak, S. Cankaya and M. Sharples with chapter authors from Europe and Asia. It is not open access and the short pdf available provides a  preface, and list of chapters and authors.

A good selection of topics is collated through the book including:

- sustainable education - chapter 2

- classroom orchestration - chapter 4

- lesson planning - chapter 5

- deep fakes to voice cloning - chapter 7

- learning analytics - chapter 8

- smart learning environments - chapter 9

- VR and AR - chapter 10

- AI literacy - chapter 11

- Prompt design - chapter 12 & 13

- dialogic feedback - chapter 14

- creative learning - chapter 19

- ethical considerations - chapter 20

- teacher training and PD - chapter 21

Will recommend the book to the library and add chapter summaries after I have looked through them. 





Monday, March 09, 2026

MIT - unified framework of five principles in AI society

 This article, A unified framework of five principles for AI in society, written by L. Floridi and J. Cowls in 2019, provides a synthesis of other frameworks. The work predates the arrival of ChatGPT but the principles are even more important now as Gen AI moves towards becoming Artificial General Intelligence (AGI).

Table 1 in the article summarised where each principle is also present in 9 frameworks. The principles are beneficence, non-maleficence, autonomy, justice and explicability. These concur with the principles published of late, calling for increased ethical actions as Gen AI and agentic AI take hold. 

Monday, March 02, 2026

From personalised to precision learning

This paper from Educause was in George Siemen's presentation last week. It proposes a tightening of personalised learning through 'precision learning'.

The paper was published in Novermber 2025 with authors from the U S of A - 

An important first step is to review institutional data architectures so that they can be drawn on to support the demands of adaptive and personalised learning. Real-time adaptivity is required so that 'just-in-time' feedback is availed to learners. Hence, in the article, the following is required:

"Delivering real-time recommendations and interventions that improve learning outcomes requires a fundamentally reimagined architecture. Instead of static, siloed data collection, institutions need systems capable of dynamic ingestion, immediate processing, and centralized analysis of learner interactions and performance. Such an architecture might leverage event streaming platforms, robust APIs, cloud-native databases, or other technologies to make data available and actionable the moment it is created. With this shift, educational systems can identify learning gaps, trigger personalized recommendations, and adapt curricula in real time—moving from post hoc analysis to proactive support."

The combination of agile learner data and LLM can then allow for real-time support and intervention. Then, combining the above with learning profile and curriculum leads to 'precision learning'.

The paper provides a way forward, explained in lay language for those with little computer science background. Now the first steps are to find out how my institute stores their learner data and see how complex or large the task ahead will be to format and provision precision learning!

The precursors to this article are also worth a read - Ai tsunami is here (2025 - Sept); and Dialogue at scale (October 2025).


Friday, February 27, 2026

Aotearoa AI Tertiary Network (ATAIN) - George Siemens on 'AI in Higher Education"

 Session 2 for 2026 from ATAIN with  a presentation from Professor George Siemens on 'How AI changes practices in higher education'.

Abstract of the presentation: 

After several decades of bold proclamations and unending hype of the future of learning, from Web 2.0 to open courses to flipped classrooms, artificial intelligence arrives in our university classrooms at a moment of change fatigue across the sector. This presentation will explore how AI impacts learning and knowledge practices, focusing on which specific tasks, now done by humans, are most amenable to AI. System level Implications of the core change of “what is done by human cognition and what is done by artificial cognition” will be explored.

Notes:

Mark Nichols introduced George. 

Began with the conundrum represented by the arrival of AI. Too much is changing and things are moving very fast. Almost impossible to anticipate what is going to happen. AI said to replace software developing but the data does not hold up on job replacements in this area.

We are currently moving from chatbots to agentic AI. Many platforms being launched and many people using, experimenting, evaluating. Check podcast - Software developers provide the idea but AI does the coding. Examples out there where coding is being done by AI by startups etc. 

Provided an example of how Claude can work if provided a folder of sources - pdfs, reports, etc. The ppt created is accurate. Therefore AI becoming a work bot. Then put the ppt back into Claude to tidy it up and 'approve' the various items that will be used to build the slides. Therefore, one 'manages' AI . 

Started the main presentation with assumptions that we are familiar with Gen AI, multimodal and world models, reasoning models, advances in models and encroachment into human capabilities. The uncertainty of labour market impact and that negative aspects of AI (bias, hallucination, IP abuse, environmental and human harm etc.)

Postulated that with distance education in 2002 - open education helped scale content. Then in 2008 open courses scale instruction and now, perhaps ability to scale engagement. 

Benefits - personalised learning, positive influence on learning, reduced planning and admin, greater insight into student understanding but negatives in ethics, need for learning design for AI.

All the AIs are dropping LMMs - Claude for education; chatGPT study mode etc.

However, students tend to rely on AI, rather than learn from or using AI :( 

Explained how AI LLMs may work. We can not just send students to Claude/ChatGPT to learn; the value add for education is the structure, curriculum, pathways, learning support etc. which are required to help novices learn specialised knowledge. Therefore connect learner profile and content knowledge, through systems prompt/context window (LLM) and compute personalised curriculum in the form of learning content, learning activities which matches the preferences and profiles of the learner.

Agents in higher education can support:

recruitment/registration; wellness support; guide and direct through university experience; create content; teach and coach; assess and evaluate; research. Therefore agents will be LMS, textbook, assessments, teaching, tutoring, apps etc.

Software engineering provide examples of what will happen. In the last 18 months, companies have been built in a weekend; product speed is accelerating and this will happen across many 'knowledge work'. 'Its building coalitions that work - issue by issue, with partners who share enough ---

Stages of engagement:

personal - join open spaces and contribute (your blog, huggingface, share your learning); 

coordinate: across institutions, share governance, share strategies and resources.

systems level:

Agency is important as individuals. We can create with AI but there is importance in first defining, thinking, planning and develop the skills to monitor and track what is available.

Encouraged getting lined up with key AI tools and the infrastructure that supports them. Git, Obsidian and file systems, skills and similar repeatable processes and start taking all the free courses (OAI, Deeplearning.ai, Anthropic, Gemini). 

Q & A followed.

As a summary, things are moving rapidly and there is no turning back. As individuals, need to keep up with the play. As institutions, need to be pro-active, collaborate and resource innovation/change.