From blackboards to interactive whiteboards, learning has always made use of technology. But with the advent of computers and then the internet, learning theory entered a new phase from the late 20th Century onwards – as thinkers grappled with the challenges of designing systems and content that could help people learn online. How could making programmable robots stimulate children to learn? What was the best way to combine media for learning – and how could you teach online without distracting or overloading learners? What were the rules for creating optimal learner experiences? These were the questions our online educators asked themselves. ----------

0:00 - Intro
1:07 - Introducing The Online Educators
8:43 - Seymour Aubrey Papert (1928 - 2016)
14:33 - Richard E. Mayer (1947 -)
24:32 - Clifford Nass (1958 - 2013) & Byron Reeves
35:10 Donald Norman (1935 - )
44:53 - Jakob Neilsen (1957 - )
58:06 - Summing up

The Blog that started it all: http://donaldclarkplanb.blogspot.com/2020/08/100-learning-theorists-2500-years-of.html

Papert bit.ly/3c1oH8J
Mayer bit.ly/34oKmF6
Nass & Reeves bit.ly/39UTXoo
Norman bit.ly/2RBJ8Bk
Nielsen bit.ly/3bggI7K

Contact Donald Twitter: @DonaldClark LinkedIn: https://www.linkedin.com/in/donald-clark-04553022/ Blog: http://donaldclarkplanb.blogspot.com/ Read Donald's latest book, Learning Experience Design https://www.amazon.co.uk/Learning-Experience-Design-Create-Effective/dp/1398602620/ref=asc_df_1398602620/?tag=googshopuk-21&linkCode=df0&hvadid=500792593882&hvpos=&hvnetw=g&hvrand=8463523561401709872&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=1006565&hvtargid=pla-1245069293197&psc=1&th=1&psc=1 Contact John Helmer Twitter: @johnhelmer LinkedIn: https://www.linkedin.com/in/johnhelmer/ Website: http://johnhelmerconsulting.com/ Download the new white paper from Learning Pool written by John Helmer & Ben Betts – Suite Dreams: The Past, Present and Future of Learning Systems https://learningpool.com/suite-dreams/

Season 2, Episode 13 - Hamid Tizhoosh, PhD - AI and Supervised vs. Unsupervised Learning