Kick off presentation #6 - Arun Pradhan on learning

Sue McBain, team lead for the educational development team introduced Arun Pradhan.

Used a feedback mechanism – thumbs up and thumbs down to provide feedback on the presentation. Used menti.com to present an interactive session.

Began with rate the importance of – to find out what topic is on top.

Introduced a reality check with regards to change. Covid being one challenge of many.

Trends include continued impact of digital and pervasive data; rise of personalised customer experience, refocus on human connection and underlying needs, rise of agility and drive to innovate, reinvent & disrupt,  FAST.

Proposed the overriding questions as ‘how do we survive the robot apocalypse’!

Moved on to discussion the educators’ dilemma. What are the most important skills moving forward. Robots are better are info recall and recording, algorithms / calculations, rule based problem solving, rote/repetitive tasks, physically demanding work.

Humans better had learning to learn and unlearn, empathy, problem solving and critical thinking, collaboration and communication and digital fluency/data intelligence.

Used T shaped skills as the visual – broad soft and cross-functional expertise and deep expertise. Siloed expert has deep expertise and superficial generalist have (or need to have) the broad soft skills. However, T-shaped people have both.

Compared careers in the past (front loading and then predictable career) and now/future (optional front loading and then continuous learning to have adaptive work.

Suggested education as modular solutions, credentialing and industry partnerships, micro-learning in the workflow, position to ‘value add’, flexible and adaptive curriculum and focus on learning how to learn.

Discussed briefly the many myths about learning and introduced alternative – classic, millennial/right=brained/existentialist/ gangnam style learners – which again are myths. Debunked learning styles and the need to be more critical about how learning is understood.

Encouraged the need to understand how to help learning by unlocking blocks to behaviour. Attributes and dispositions are a key rather than skills and knowledge.

Proposed knowledge as being facts and info and mental approaches (assumptions, generalisations and concepts). Interleaved study across several topics and spaced study (study, test, test, test) more effective.

Recommends the minimisation of cognitive load (less content) augment facts and info, used spaced retrieval if facts and info require memorisation and use concepts and mental models (infographics, stories, metaphors).

Therefore, learn less facts but learn more mental models. Important to construct a ‘latticework of mental models’ (Charles Munger) or an expanded cognitive toolkit.  Provided a list of mental models including pareto principle, sunk cost, opportunity costs, ockams razor, A/B testing, return on failure, confirmation bias, scientific method, deliberate practice, Feynman technique, habit forming, EAST nurdge, inversion, circle of competence etc.

Skills development based on deliberate practice (Ericsson) the way to go. Not just 10,000 hours of doing but the ability to act on feedback and to constantly improve. 

Mindset and motivation requires helping learners finding out -what is in it for me  and the need to foster a growth mindset (Dweck).

Environments to support continuous learning also required.

Promoted the application of design thinking for learning design – starting with empathy, define, ideate, prototype, test and refine.

Shared how blended experiences can be designed through engaging the learner, priming with information, applying, connecting, reflecting and embedding. Advocated blended whould be about asynchronous vs synchronous, collaborative vs independent and formal vs experiential.

Good overview of the state of the play on learning from a corporate point of view with a synthesis of many of the current concepts on learning brought together and applied to the challenges of the future of learning.