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Nina Bergdahl; Melissa Bond; Jeanette Sjöberg; Mark Dougherty; Emily Oxley – International Journal of Educational Technology in Higher Education, 2024
Educational outcomes are heavily reliant on student engagement, yet this concept is complex and subject to diverse interpretations. The intricacy of the issue arises from the broad spectrum of interpretations, each contributing to the understanding of student engagement as both complex and multifaceted. Given the emergence and increasing use of…
Descriptors: Learner Engagement, College Students, Student Behavior, Educational Technology
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Ana Stojanov; Ben Kei Daniel – Education and Information Technologies, 2024
The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…
Descriptors: Higher Education, Learning Analytics, Well Being, Decision Making
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Mahmoud, Mai; Dafoulas, Georgios; Abd ElAziz, Rasha; Saleeb, Noha – International Journal of Information and Learning Technology, 2021
Purpose: The objective of this paper is to present a comprehensive review of the literature on learning analytics (LA) stakeholders' expectations to reveal the status of ongoing research in this area and to highlight gaps in research. Design/methodology/approach: Conducting a literature review is a well-known method to establish knowledge and…
Descriptors: Learning Analytics, Stakeholders, Expectation, Higher Education
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Heil, Joana; Ifenthaler, Dirk – Online Learning, 2023
Online assessment is defined as a systematic method of gathering information about a learner and learning processes to draw inferences about the learner's dispositions. Online assessments provide opportunities for meaningful feedback and interactive support for learners as well as possible influences on the engagement of learners and learning…
Descriptors: Computer Assisted Testing, Higher Education, Literature Reviews, College Students
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Ifenthaler, Dirk; Yau, Jane Yin-Kim – Educational Technology Research and Development, 2020
Study success includes the successful completion of a first degree in higher education to the largest extent, and the successful completion of individual learning tasks to the smallest extent. Factors affecting study success range from individual dispositions (e.g., motivation, prior academic performance) to characteristics of the educational…
Descriptors: Learning Analytics, Higher Education, Educational Research, Academic Achievement
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Jongile, Sonwabo – International Journal on E-Learning, 2022
The identification of predictor variables for students at-risk of dropping out of university has received increased attention in higher education settings internationally concerning the context of origin in which they are developed and the different academic context in which they are introduced, often lacking schema-theoretic perspectives to offer…
Descriptors: Predictor Variables, At Risk Students, Potential Dropouts, College Students
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Blumenstein, Marion – Journal of Learning Analytics, 2020
The field of learning analytics (LA) has seen a gradual shift from purely data-driven approaches to more holistic views of improving student learning outcomes through data-informed learning design (LD). Despite the growing potential of LA in higher education (HE), the benefits are not yet convincing to the practitioner, in particular aspects of…
Descriptors: Learning Analytics, Instructional Design, Effect Size, Higher Education