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An analysis of research trends in dissertations and theses studying blended learning · Study

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ArticleAn analysis of research trends in dissertations and theses studying blended learning

Jeffery S. Drysdale2012

Article2012

An analysis of research trends in dissertations and theses studying blended learning

Jeffery S. Drysdale · Charles R. Graham · Kristian J. Spring · Lisa R. Halverson

286 citations·0/0 files stored·The Internet and Higher Education

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Online and Blended Learning Educational Technology and E-Learning Evaluation of Teaching Practices

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References

1977The Measurement of Observer Agreement for Categorical Data 1996Writing Ethnographic Fieldnotes.2004Blended learning: Uncovering its transformative potential in higher education 1995Writing Ethnographic Fieldnotes 2009Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies 2001Critical thinking, cognitive presence, and computer conferencing in distance education 2005The Handbook of Blended Learning: Global Perspectives, Local Designs 1989Editorial: Three types of interaction

Cited by

2016Blended instructional practice: A review of the empirical literature on instructors' adoption and use of online tools in face-to-face teaching 2015The promised land of blended learning: Quizzes as a moderator 2021A Systematic Review of Systematic Reviews on Blended Learning: Trends, Gaps and Future Directions 2015The effect of blended learning on course persistence and performance of adult learners: A difference-in-differences analysis 2021Using PLS-SEM Model to Explore the Influencing Factors of Learning Satisfaction in Blended Learning

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Year2012

Typearticle

Published2012-11-23

VenueThe Internet and Higher Education

ISSN-L1096-7516

Languageen

Citations286

Files0 public / 0

ShelfOnline and Blended Learning

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doi10.1016/j.iheduc.2012.11.003

openalex_workW2063397592

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2012An analysis of high impact scholarship and publication trends in blended learning

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2020Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning