Publication Date
| In 2026 | 0 |
| Since 2025 | 178 |
| Since 2022 (last 5 years) | 1083 |
| Since 2017 (last 10 years) | 1811 |
| Since 2007 (last 20 years) | 1846 |
Descriptor
Source
Author
| Gaševic, Dragan | 24 |
| Dragan Gaševic | 17 |
| Ogata, Hiroaki | 15 |
| Baker, Ryan S. | 14 |
| Pardo, Abelardo | 13 |
| Roberto Martinez-Maldonado | 13 |
| Ouyang, Fan | 12 |
| Prinsloo, Paul | 12 |
| Rienties, Bart | 12 |
| Saqr, Mohammed | 12 |
| Hershkovitz, Arnon | 11 |
| More ▼ | |
Publication Type
Education Level
Location
| Australia | 76 |
| China | 62 |
| United Kingdom | 39 |
| Spain | 26 |
| Japan | 24 |
| Turkey | 24 |
| United States | 20 |
| Europe | 19 |
| Taiwan | 19 |
| Netherlands | 18 |
| Finland | 17 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Foung, Dennis; Chen, Julia; Cheung, Kin – International Journal of Educational Technology in Higher Education, 2023
College transfer students are those who follow a different trajectory in their higher education journeys than traditional students, completing a sub-degree before pursuing a bachelor's degree at a university. While the possibility of transferring makes higher education accessible to these students, previous studies have found that they face…
Descriptors: College Transfer Students, Student Needs, Barriers, Academic Achievement
Dooley, Laura; Makasis, Nikolas – Education Sciences, 2020
The flipped classroom has been increasingly employed as a pedagogical strategy in the higher education classroom. This approach commonly involves pre-class learning activities that are delivered online through learning management systems that collect learning analytics data on student access patterns. This study sought to utilize learning…
Descriptors: Student Behavior, Flipped Classroom, Learning Analytics, Data Interpretation
Foster, Ed; Siddle, Rebecca – Assessment & Evaluation in Higher Education, 2020
In this article we investigate the effectiveness of learning analytics for identifying at-risk students in higher education institutions using data output from an in-situ learning analytics platform. Amongst other things, the platform generates 'no-engagement' alerts if students have not engaged with any of the data sources measured for 14…
Descriptors: Learning Analytics, At Risk Students, Identification, Higher Education
Foster, Carly; Francis, Peter – Assessment & Evaluation in Higher Education, 2020
This is a systematic review conducted of primary research literature published between 2007 and 2018 on the deployment and effectiveness of data analytics in higher education to improve student outcomes. We took a methodological approach to searching databases; appraising and synthesising results against predefined criteria. We reviewed research…
Descriptors: Literature Reviews, Program Implementation, Program Effectiveness, Learning Analytics
Salas-Pilco, Sdenka Zobeida; Yang, Yuqin – British Journal of Educational Technology, 2020
This study presents several Latin American research initiatives in the field of learning analytics (LA). The study's purpose is to enhance awareness and understanding of LA among researchers, practitioners and decision makers, and to highlight the importance of supporting research on LA. We analyzed case studies of LA research conducted at four…
Descriptors: Learning Analytics, Latin Americans, Educational Research, Decision Making
Brown, Michael – Teaching in Higher Education, 2020
Despite their increasingly widespread adoption in post-secondary education, scholars and practitioners know very little about the impact of digital data displays on instructors' sense-making and academic planning. In this manuscript, I report the results of comparative case studies of five different introductory physics instructors at three…
Descriptors: College Faculty, Learning Analytics, Introductory Courses, Physics
Demmans Epp, Carrie; Phirangee, Krystle; Hewitt, Jim; Perfetti, Charles A. – Educational Technology Research and Development, 2020
From massive open online courses (MOOC) to the smaller scale use of learning management systems, many students interact with online platforms that are meant to support learning. Investigations into the use of these systems have considered how well students learn when certain approaches are employed. However, we do not fully understand how course…
Descriptors: Integrated Learning Systems, Student Experience, Learning Analytics, Online Courses
Bailie, Jeffrey L. – Journal of Instructional Pedagogies, 2020
For close to three decades. the positive effects of online learner engagement in asynchronous discussions have been reported. Given the many positive effects of asynchronous discussion that have been conveyed in the literature, a preponderance of today's online courses include the activity as a part of the learning experience. It seems only…
Descriptors: Learning Analytics, Asynchronous Communication, Predictor Variables, Grades (Scholastic)
Chen, Chen; Sonnert, Gerhard; Sadler, Philip M.; Sasselov, Dimitar D.; Fredericks, Colin; Malan, David J. – Distance Education, 2020
Participants' engagement in massive online open courses (MOOCs) is highly irregular and self-directed. It is well known in the field of television media that substantial parts of the audience tend to drop out at major episodic, or seasonal, closures, which makes creating cliff-hangers a crucial strategy to retain viewers (Bakker, 1993; Cazani,…
Descriptors: Online Courses, Dropouts, Learning Analytics, Dropout Rate
Huang, Anna Y. Q.; Lu, Owen H. T.; Huang, Jeff C. H.; Yin, C. J.; Yang, Stephen J. H. – Interactive Learning Environments, 2020
In order to enhance the experience of learning, many educators applied learning analytics in a classroom, the major principle of learning analytics is targeting at-risk student and given timely intervention according to the results of student behavior analysis. However, when researchers applied machine learning to train a risk identifying model,…
Descriptors: Academic Achievement, Data Use, Learning Analytics, Classification
Tempelaar, Dirk – Assessment & Evaluation in Higher Education, 2020
How can we best facilitate students most in need of learning support, entering a challenging quantitative methods module at the start of their bachelor programme? In this empirical study into blended learning and the role of assessment for and as learning, we investigate learning processes of students with different learning profiles.…
Descriptors: Learning Analytics, Formative Evaluation, Blended Learning, Undergraduate Students
Broughan, Christine; Prinsloo, Paul – Assessment & Evaluation in Higher Education, 2020
Student data, whether in the form of engagement data, assignments or examinations, form the foundation for assessment and evaluation in higher education. As higher education institutions progressively move to blended and online environments, we have access to, not only more data than before, but also a greater variety of demographic and…
Descriptors: Learning Analytics, Student Centered Learning, Student Empowerment, Data Collection
Mageswaran Sanmugam, Editor; Zuheir N. Khlaif, Editor; Wan Ahmad Jaafar Wan Yahaya, Editor; Zaleha Abdullah, Editor – Springer, 2025
This book explains how educators can use artificial intelligence in education to enhance student engagement and improve learning outcomes by sharing best practices for using AI to enhance learning quality and foster sustainable teaching. This book covers various topics related to the use of AI in education, from designing activities to using AI in…
Descriptors: Artificial Intelligence, Higher Education, Computer Uses in Education, Educational Innovation
Wells, Jason; Spence, Aaron; McKenzie, Sophie – Journal of Information Technology Education: Research, 2021
Aim/Purpose: This paper focuses on understanding undergraduate computing student-learning behaviour through reviewing their online activity in a university online learning management system (LMS), along with their grade outcome, across three subjects. A specific focus is on the activity of students who failed the computing subjects. Background:…
Descriptors: Student Participation, Undergraduate Students, At Risk Students, Academic Failure
Mshayisa, Vusi Vincent; Basitere, Moses – Journal of Food Science Education, 2021
In STEM (science, technology, engineering, and mathematics) courses, undergraduate laboratory classes are vital for students to develop competencies such as critical observation, collaboration, critical thinking, technical, and problem-solving skills. Thus, for students to successfully acquire these competencies, preparation for laboratory classes…
Descriptors: Flipped Classroom, Teaching Methods, Student Attitudes, STEM Education

Peer reviewed
Direct link
