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Kristian J. Spring

Researcher at Brigham Young University

Publications -  14
Citations -  902

Kristian J. Spring is an academic researcher from Brigham Young University. The author has contributed to research in topics: Blended learning & Educational technology. The author has an hindex of 9, co-authored 13 publications receiving 722 citations.

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

TL;DR: This article analyzes the research of 205 doctoral dissertations and masters' theses in the domain of blended learning to identify gaps in research and to highlight opportunities for future research as the field of blendedLearning continues to grow.
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A thematic analysis of the most highly cited scholarship in the first decade of blended learning research

TL;DR: This study determined the most frequently cited books, edited book chapters, and articles on blended learning, as well as the journals in which these highly cited articles appeared, and uncovered the methodologies, research questions, and theoretical frameworks in this scholarship.
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An analysis of high impact scholarship and publication trends in blended learning

TL;DR: This study begins the search for the center of this emerging area of study by finding the most cited scholarship on blended learning by determining the most frequently cited books, book chapters, and articles on the subject of blended learning.
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Academic Communities of Engagement: an expansive lens for examining support structures in blended and online learning

TL;DR: The Academic Communities of Engagement (ACE) framework as mentioned in this paper describes a student's ability to engage affectively, behaviorally, and cognitively in an online or blended course independently and with support.
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The current landscape of international blended learning

TL;DR: It is suggested that BL researchers and practitioners across the world have more common experiences than particular ones and that, as each strives to improve his or her own teaching and context, new discoveries can be widely applicable.