Literature DB >> 33894476

Theory of change models deepen online learning evaluation.

Olivia M Chesniak1, Denise Drane1, Celine Young2, Sarah Chobot Hokanson2, Bennett B Goldberg3.   

Abstract

Massive Open Online Courses (MOOCs) have gained traction as resources for professional development. This article presents the method that we used to evaluate a professional development MOOC for postdoctoral trainees that was created by a university consortium in the US. Most approaches to evaluating MOOCs focus on analysis of participation, outcomes from course assignments, self-reported learning outcomes, course completion and user pathways through the online content or clickstream data. Few published evaluations describe in detail how learning happens within online courses and the anticipated medium and longer term cognitive and behavioral outcomes on participants. This work aims to guide those who are designing, implementing and evaluating MOOCs through applying theories of change to focus evaluation on the process of learning. This approach can be used as a complement to traditional approaches for evaluating MOOCs. We described how we worked with the MOOC team building the content to develop a theory of change for each module (or lesson) within the MOOC and used the theory of change to guide evaluation of short and medium term participant cognitive, affective and attitudinal, and behavioral outcomes. Finally, we share lessons learned and suggestions for implementing theories of change in both the design and evaluation phases of MOOC development.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Evaluation; Massive open online course; Online learning; Professional development; Student outcomes; Theory of change

Mesh:

Year:  2021        PMID: 33894476      PMCID: PMC8206009          DOI: 10.1016/j.evalprogplan.2021.101945

Source DB:  PubMed          Journal:  Eval Program Plann        ISSN: 0149-7189


  7 in total

1.  Education research. Rebooting MOOC research.

Authors:  Justin Reich
Journal:  Science       Date:  2015-01-02       Impact factor: 47.728

2.  The MOOC pivot.

Authors:  Justin Reich; José A Ruipérez-Valiente
Journal:  Science       Date:  2019-01-11       Impact factor: 47.728

3.  From recovery to regulation: an attempt to reconceptualize 'recovery from work'.

Authors:  F R H Zijlstra; M Cropley; L W Rydstedt
Journal:  Stress Health       Date:  2014-08       Impact factor: 3.519

4.  A strategy for monitoring and evaluating massive open online courses.

Authors:  S A Chapman; S Goodman; J Jawitz; A Deacon
Journal:  Eval Program Plann       Date:  2016-05-07

5.  Massive Open Online Courses (MOOC) Evaluation Methods: Protocol for a Systematic Review.

Authors:  Kimberley Foley; Abrar Alturkistani; Alison Carter; Terese Stenfors; Elizabeth Blum; Josip Car; Azeem Majeed; David Brindley; Edward Meinert
Journal:  JMIR Res Protoc       Date:  2019-03-07

6.  Benefits of Massive Open Online Course Participation: Deductive Thematic Analysis.

Authors:  Elizabeth R Blum; Terese Stenfors; Per J Palmgren
Journal:  J Med Internet Res       Date:  2020-07-08       Impact factor: 5.428

7.  Massive Open Online Course Evaluation Methods: Systematic Review.

Authors:  Abrar Alturkistani; Ching Lam; Kimberley Foley; Terese Stenfors; Elizabeth R Blum; Michelle Helena Van Velthoven; Edward Meinert
Journal:  J Med Internet Res       Date:  2020-04-27       Impact factor: 5.428

  7 in total

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