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Direct linkS. Asha; V. P. Joshith – Journal of Educational Technology Systems, 2025
Learning analytics (LA) has become a critical field for transforming educational practices through data-driven insights. This study presents a comprehensive bibliometric analysis of LA research in higher education from 2013 to 2023, utilizing the Scientific Procedures and Rationales for Systematic Literature Review (SPAR-4-SLR) approach. By…
Descriptors: Bibliometrics, Learning Analytics, Educational Change, Educational Practices
Shabnam Ara, S. J.; Tanuja, R.; Manjula, S. H.; Venugopal, K. R. – Journal of Educational Technology Systems, 2023
Learning analytics (LA) is considered a promising field of study as it's helping to improve learning and the context in which it occurs. A learner's performance can be defined as how well students are learning in terms of knowledge and skills development and can be analyzed based on students' outcomes and engagement in the course. We have…
Descriptors: Learning Analytics, Learning Management Systems, Academic Achievement, Prediction
Besbes, Seifeddine; Twala, Bhekisipho; Besbes, Riadh – Journal of Educational Technology Systems, 2022
In this paper, an empirical comparison of three state-of-the-art classifier methods (artificial immune recognition systems, Lazy-K Star, and random tree) to predict teachers' ability to adapt in a classroom environment is carried out. Two educational databases are used for this task. First, measures collected in an academic context, especially…
Descriptors: Instructional Effectiveness, Learning Analytics, Adjustment (to Environment), Classroom Environment
Zhao, Qun; Wang, Jin-Long; Pao, Tsang-Long; Wang, Li-Yu – Journal of Educational Technology Systems, 2020
This study uses the log data from Moodle learning management system for predicting student learning performance in the first third of a semester. Since the quality of the data has great influence on the accuracy of machine learning, five major data transmission methods are used to enhance data quality of log file in the data preprocessing stage.…
Descriptors: Classification, Learning, Accuracy, Prediction
Klein, Carrie; Lester, Jaime; Nguyen, Thien; Justen, Abigail; Rangwala, Huzefa; Johri, Aditya – Journal of Educational Technology Systems, 2019
An instrumental case study was conducted at a large, public research university in the mid-Atlantic region of the United States to understand undergraduate use of learning analytics dashboard (LAD) interventions. Eighty-one undergraduate students participated in focus groups. Scenario-based questions, modeled on current and future LAD…
Descriptors: Learning Analytics, Undergraduate Students, Computer Uses in Education, Computer Interfaces
Orchard, Ryan K. – Journal of Educational Technology Systems, 2019
Learning management systems (LMS) allow for a variety of ways in which online multiple-choice assessments ("tests") can be configured, including the ability to allow for multiple attempts and options for which of and how the attempts will count. These options are usually chosen according to the instinct of the instructor; however, LMS…
Descriptors: Integrated Learning Systems, Data Use, Electronic Learning, Assignments
