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Myths and Misperceptions about Online Learning Jorge Larreamendy-Joerns, Universidad de los Andes,  Mary Tallent Runnels, Texas Tech University Julie A. Thomas, Oklahoma State University Robert Bernard, Phil Abrami, Concordia University Facilitator: Peter Shea, University at Albany, State University of New York
Myths and Misperceptions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conceptual Review ,[object Object]
Traditional Review ,[object Object]
Empirical/Meta-analytic review ,[object Object],[object Object]
Order ,[object Object],[object Object],[object Object]
Online education: Promises and concerns with a past Jorge Larreamendy-Joerns Universidad de los Andes, Colombia
[object Object]
A sense of history ,[object Object],[object Object]
Some questions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Charting promises and concerns ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Going back to the past ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Democratization ,[object Object],[object Object],[object Object],[object Object]
 
Concerns ,[object Object],[object Object],[object Object],[object Object]
(Some) lessons learned ,[object Object],[object Object],[object Object]
Pentimento
Thanks
Mary Tallent-Runnels and Julie Thomas
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
[object Object]
Meta-Analysis of Distance Education and Online Learning Research:  Past, Present and Future Robert M. Bernard Philip C. Abrami Centre for the Study of Learning and Performance Concordia University Montreal, Canada 15 th  Sloan-C International Conference on Online Learning 1
Characteristics  of a Systematic Review ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overview of   Meta-Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object]
The Past and Present:  DE and Online Learning Compared to Classroom Instruction ,[object Object],[object Object],[object Object],[object Object],[object Object]
What About Online Learning?  Results of Meta-Analyses of OL vs. CI
What Does an  ES + of   0.12-0.15  Mean?
What About   Online Learning  Compared to Asynchronous Distance Education? Note: Asynchronous DE studies are primarily “correspondence, video-based or broadcast” applications
The Future:  Comparisons Between  Different DE/OL Conditions ,[object Object],[object Object]
How Studies   Between DE/OL and DE/OL  Might be Meta-Analyzed ,[object Object],[object Object],[object Object]
We Chose  Interaction  as a  Researchable Construct  ,[object Object],[object Object],[object Object],[object Object]
What is an  “Interaction Treatment”? ,[object Object],[object Object],[object Object],[object Object]
Meta-Analysis of   Three Interaction Treatments  in Distance Education From Bernard, Abrami, Borokhovski, Wade et al. (2009).  RER.
Summary of  Results ,[object Object],[object Object],[object Object],[object Object],[object Object],11
One Big   Caveat  in this Research ,[object Object],[object Object],[object Object]
Evidence-Based Principles for   Increasing Achievement Through Interactivity ,[object Object],[object Object],[object Object],[object Object],[object Object]
What We  Need  to Push the Field Forward ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Examples of Categorization Decisions:   Student-Student Interaction   ,[object Object],[object Object],[object Object]
Examples of Categorization Decisions:   Student-Teacher Interaction  ,[object Object],[object Object],[object Object]
Examples of Categorization Decisions:   Student-Content Interaction  ,[object Object],[object Object],[object Object]

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Myths And Misperceptions About Online Learning2

  • 1. Myths and Misperceptions about Online Learning Jorge Larreamendy-Joerns, Universidad de los Andes, Mary Tallent Runnels, Texas Tech University Julie A. Thomas, Oklahoma State University Robert Bernard, Phil Abrami, Concordia University Facilitator: Peter Shea, University at Albany, State University of New York
  • 2.
  • 3.
  • 4.
  • 5.
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  • 7. Online education: Promises and concerns with a past Jorge Larreamendy-Joerns Universidad de los Andes, Colombia
  • 8.
  • 9.
  • 10.
  • 11.
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  • 19. Mary Tallent-Runnels and Julie Thomas
  • 20.
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  • 25.
  • 26.
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  • 28.
  • 29.
  • 30.
  • 31.
  • 32. Meta-Analysis of Distance Education and Online Learning Research: Past, Present and Future Robert M. Bernard Philip C. Abrami Centre for the Study of Learning and Performance Concordia University Montreal, Canada 15 th Sloan-C International Conference on Online Learning 1
  • 33.
  • 34.
  • 35.
  • 36. What About Online Learning? Results of Meta-Analyses of OL vs. CI
  • 37. What Does an ES + of 0.12-0.15 Mean?
  • 38. What About Online Learning Compared to Asynchronous Distance Education? Note: Asynchronous DE studies are primarily “correspondence, video-based or broadcast” applications
  • 39.
  • 40.
  • 41.
  • 42.
  • 43. Meta-Analysis of Three Interaction Treatments in Distance Education From Bernard, Abrami, Borokhovski, Wade et al. (2009). RER.
  • 44.
  • 45.
  • 46.
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  • 48.
  • 49.
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  • 51.