How instructors use learning analytics: the pivotal role of pedagogy

Abstract This study fills a gap in knowledge regarding experienced instructors’ use of learning analytics, focusing on differences in their approach, the knowledge and skills they activate, and the development of these knowledge and skills. Through a qualitative analysis of think-aloud interviews with 13 analytics-experienced instructors, two distinct profiles of analytics use emerged. Instructors in the first profile prioritized monitoring student engagement and performance to foster desirable behaviors, using analytics to align students with course expectations. Instructors in the second profile focused on understanding student perceptions of learning, aligning the course design with diverse learning behaviors and needs. To arrive at such use, instructors went beyond mere acquisition of technical knowledge to also integrate pedagogical knowledge into their analytics practices. Lastly, the study uncovered specific learning analytics supports, such as ongoing individual consultations, invaluable for developing the needed technical and pedagogical knowledge. Together, the results of this study reveal the pivotal role of pedagogy in analytics use, calling for refinement of conceptual models and tailoring of practical support for instructors.

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Publication Details

Journal
Journal of Computing in Higher Education
Published
2025-02-07
DOI
https://doi.org/10.1007/s12528-025-09432-w
Citations
4
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
6.77
Controls
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article

How instructors use learning analytics: the pivotal role of pedagogy

Yeonji Jung, Alyssa Friend Wise, Qiujie Li
4 citations
Journal of Computing in Higher Education
Online Learning and Analytics
6.77
article

How instructors use learning analytics: the pivotal role of pedagogy

Yeonji Jung, Alyssa Friend Wise, Qiujie Li
article en
4 citations

Abstract

Abstract This study fills a gap in knowledge regarding experienced instructors’ use of learning analytics, focusing on differences in their approach, the knowledge and skills they activate, and the development of these knowledge and skills. Through a qualitative analysis of think-aloud interviews with 13 analytics-experienced instructors, two distinct profiles of analytics use emerged. Instructors in the first profile prioritized monitoring student engagement and performance to foster desirable behaviors, using analytics to align students with course expectations. Instructors in the second profile focused on understanding student perceptions of learning, aligning the course design with diverse learning behaviors and needs. To arrive at such use, instructors went beyond mere acquisition of technical knowledge to also integrate pedagogical knowledge into their analytics practices. Lastly, the study uncovered specific learning analytics supports, such as ongoing individual consultations, invaluable for developing the needed technical and pedagogical knowledge. Together, the results of this study reveal the pivotal role of pedagogy in analytics use, calling for refinement of conceptual models and tailoring of practical support for instructors.

Journal of Computing in Higher EducationVol. 38(1)
Nanyang Technological University (SG), Vanderbilt University (US), University of Memphis (US)
Quality Education
Openalex Percentile: Top 4%
Online Learning and Analytics
6.77
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