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Jean-Marie Gilliot; Madjid Sadallah – International Journal of Learning Technology, 2024
Learning analytics dashboards (LAD) deserve increasing attention, yet their adoption remains limited. Designing effective LAD is a difficult process, and LADs often fail in turning insights into action. We argue that providing explicit decision-making features in a participatory design process may help to develop LADs supporting action. We first…
Descriptors: Learning Analytics, Decision Making, Design, Participative Decision Making
Dirk Tempelaar; Bart Rienties; Bas Giesbers – International Journal of Educational Technology in Higher Education, 2024
Educational innovations, particularly those in online education and technology-enhanced learning, some accelerated by the recent pandemic, take centre stage in this journal. Examples include the resurgence of the flipped classroom methodology, supported by instructional technology, the utilization of formative assessment with technological…
Descriptors: Learning Analytics, Formative Evaluation, Educational Innovation, Technology Uses in Education
Paul Prinsloo; Mohammad Khalil; Sharon Slade – Journal of Computing in Higher Education, 2024
Central to the institutionalization of learning analytics is the need to understand and improve student learning. Frameworks guiding the implementation of learning analytics flow from and perpetuate specific understandings of learning. Crucially, they also provide insights into how learning analytics acknowledges and positions itself as entangled…
Descriptors: Learning Analytics, Data, Ecology, Models
Robert D. Plumley; Matthew L. Bernacki; Jeffrey A. Greene; Shelbi Kuhlmann; Mladen Rakovic; Christopher J. Urban; Kelly A. Hogan; Chaewon Lee; Abigail T. Panter; Kathleen M. Gates – British Journal of Educational Technology, 2024
Even highly motivated undergraduates drift off their STEM career pathways. In large introductory STEM classes, instructors struggle to identify and support these students. To address these issues, we developed co-redesign methods in partnership with disciplinary experts to create high-structure STEM courses that better support students and produce…
Descriptors: Learning Analytics, Prediction, Undergraduate Study, Biology
Ouyang, Fan; Xu, Weiqi; Cukurova, Mutlu – International Journal of Computer-Supported Collaborative Learning, 2023
Collaborative problem solving (CPS) enables student groups to complete learning tasks, construct knowledge, and solve problems. Previous research has argued the importance of examining the complexity of CPS, including its multimodality, dynamics, and synergy from the complex adaptive systems perspective. However, there is limited empirical…
Descriptors: Artificial Intelligence, Learning Analytics, Cooperative Learning, Problem Solving
Kaban, Abdullatif – International Journal of Technology in Education and Science, 2023
This research aims to create a bibliometric map of studies on learning analytics. In this research, the bibliometric mapping technique was used from an international perspective to evaluate trends in learning analytics research by describing the factors of author, publication, keyword, journal, country, and citation. Most of the research on the…
Descriptors: Bibliometrics, Learning Analytics, Information Retrieval, Trend Analysis
Saqr, Mohammed – British Journal of Educational Technology, 2023
Learning analytics is a fast-growing discipline. Institutions and countries alike are racing to harness the power of using data to support students, teachers and stakeholders. Research in the field has proven that predicting and supporting underachieving students is worthwhile. Nonetheless, challenges remain unresolved, for example, lack of…
Descriptors: Learning Analytics, Generalizability Theory, Models, Grades (Scholastic)
Buckingham Shum, Simon; Lim, Lisa-Angelique; Boud, David; Bearman, Margaret; Dawson, Phillip – International Journal of Educational Technology in Higher Education, 2023
Effective learning depends on effective feedback, which in turn requires a set of skills, dispositions and practices on the part of both students and teachers which have been termed "feedback literacy." A previously published teacher "feedback literacy competency framework" has identified what is needed by teachers to implement…
Descriptors: Automation, Feedback (Response), Learning Analytics, Artificial Intelligence
Mary Francis; Mejai Bola Mike Avoseh; Karen Card; Lisa Newland; Kevin Streff – Journal of Learning Analytics, 2023
This single-site case study will seek to answer the following question: how is the concept of privacy addressed in relation to a student success information system within a small, public institution of higher education? Three themes were found within the inductive coding process, which used interviews, documentation, and videos as data resources.…
Descriptors: Privacy, Online Systems, Small Colleges, Public Colleges
Nuangchalerm, Prasart; Prachagool, Veena – Online Submission, 2023
In recent years, the integration approach of Artificial Intelligence (AI) is called for many disciplines, it also STEM education has paved the way for transformative advancements. This paper provides an example of AI-driven learning analytics within the context of STEM education. It provides a thorough analysis of the AI-driven STEM curriculum and…
Descriptors: Artificial Intelligence, Learning Analytics, STEM Education, Technology Uses in Education
Reet Kasepalu; Pankaj Chejara; Luis P. Prieto; Tobias Ley – International Journal of Computer-Supported Collaborative Learning, 2023
Teachers in a collaborative learning (CL) environment have the demanding task of monitoring several groups of students at the same time and intervening when needed. This withitness (both the situational awareness and interventions taken in class) of the teacher might be increased with the help of a guiding dashboard alerting the teacher of…
Descriptors: Cooperative Learning, Teacher Behavior, Observation, Educational Technology
Mason, Terrell – ProQuest LLC, 2023
Using the Learning Analytics in Higher Education model (Lester et al., 2017) as a framework and qualitative methods (Merriam & Tisdale, 2016), I explored advising administrators' perspectives relating to predictive analytics (PA) and underrepresented minority (URM) students, specifically their thoughts on how they perceive PA on their…
Descriptors: Academic Advising, Leaders, Administrator Attitudes, Prediction
Khaw, Tze Yin; Teoh, Ai Ping – Journal of Applied Research in Higher Education, 2023
Purpose: This study aimed to examine the roles of big data analytics technological capabilities (BDATC) on the performance of private higher education institutions (PHEIs) in Malaysia. This study explored mediating effect of strategic agility (SA) between BDATC and PHEIs' performance. The moderating effect of enterprise risk management (ERM)…
Descriptors: Learning Analytics, Private Colleges, Higher Education, Foreign Countries
Emine Cabi; Hacer Türkoglu – International Review of Research in Open and Distributed Learning, 2025
Recent advancements in educational technology have enabled teachers to use learning analytics (LA) and flipped classrooms. The present study investigated the impact of a LA-based feedback system on students' academic achievement and self-regulated learning (SRL) in a flipped learning (FL) environment. The study used a pretest-posttest control…
Descriptors: Learning Analytics, Feedback (Response), Academic Achievement, Independent Study
Flora Ji-Yoon Jin; Bhagya Maheshi; Wenhua Lai; Yuheng Li; Danijela Gasevic; Guanliang Chen; Nicola Charwat; Philip Wing Keung Chan; Roberto Martinez-Maldonado; Dragan Gaševic; Yi-Shan Tsai – Journal of Learning Analytics, 2025
This paper explores the integration of generative AI (GenAI) in the feedback process in higher education through a learning analytics (LA) tool, examined from a feedback literacy perspective. Feedback literacy refers to students' ability to understand, evaluate, and apply feedback effectively to improve their learning, which is crucial for…
Descriptors: College Students, Student Attitudes, Artificial Intelligence, Learning Analytics