Saturday, 19 April 2014

TEL symposium @ AMEE 2014; Monday, September 1, 2014



                         http://www.amee.org/conferences/amee-2014/programme/symposia


                                      http://designingeffectivelearning.blogspot.sg/
                                                        (presentation sides)

                                            follow up article in Medical Teacher




John Sandars – JS - chair
Pat Kokatailo -  PK
Goh Poh Sun - GPS
Natalie Lafferty – NL
Rakesh Patel – RP


10 mins Introduction JS
Need for underpinning of educational processes  to maximise impact of technology for teaching and learning
Variety of  ways that people learn  - constructivist: individual and social
Variety of technologies – affordances
Complex mix learn/technology
Introduction of speakers


10 mins What type of learner do I want?   PK
Philosophical  stance
Dewey – Inquiry approach
Dewey – Importance of tutor


10 mins Designing effective individual learning – GPS
Multimedia learning theories – cognitive overload / external and internal scaffolding/sequencing
Practical examples

Google search "multimedia learning theories Richard Meyer"

(see Chapter 3: Cognitive Theories of Multimedia Learning, by Richard E. Meyer, in The Cambridge Handbook of Multimedia Learning, 2005)

Cognitive load theory: implications for medical education (AMEE Guide No.86)







http://padlet.com/dnrgohps/edthinfpractice



                        "Educational wall" on theme "Cerebral infarcts and mimics" (screenshot above)





         




                                         http://padlet.com/dnrgohps/eLearningWall





                                          http://padlet.com/dnrgohps/qualresearchMEU



                            NUS-Prime: Technology enhanced learning - three case studies



10 mins Designing effective social learning – NL
Social learning – Communities of practice , Connectivism, Network theories
Practical examples


10 mins Emergent theories for effective learning –RP
Web 2.0 approaches – learner generated and complexity
Practical examples


[ 9 30]  Discussion

[1000] 15  mins Summary and conclusion JS

                                          



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