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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
Rania Mohamed Al Morsy; Mahmoud Kamal Abouraia; Hany Mohamed Galal; Nehad Hussein Elgamal – International Society for Technology, Education, and Science, 2024
To broaden the scope of innovation that leverages contemporary technologies, education sectors worldwide are depending more and more on creative technological tools. On the other hand, not much research has been done on how these tools are adopted and used, or how they can improve decision-making in non-Western contexts. As a result, the goal of…
Descriptors: Learning Analytics, Decision Making, Foreign Countries, Private Colleges
Andrea Chambers; Hollie Daniels; John Dooris; Arlyn Y. Moreno Luna; Sean Riordan – Association for Institutional Research, 2023
Using the National Center for Education Statistics (NCES) 2012/17 Beginning Postsecondary Students Longitudinal Study (BPS:12/17), this research study explores the persistence to bachelor's degree attainment of adult students. Specifically, this study looks at adult students who expected to earn a bachelor's degree or higher, and analyzes whether…
Descriptors: Bachelors Degrees, Educational Attainment, Learning Analytics, Longitudinal Studies
Shalini Nagaratnam; Christina Vanathas; Muhammad Naeim Mohd Aris; Jeevanithya Krishnan – International Society for Technology, Education, and Science, 2023
Learning Analytics (LA) captures the digital footprint of students' online learning activity. This study describes students' navigational behavior in an e-learning setting by processing the LA data obtained from Blackboard LMS. This is an attempt to understand the navigational behavior of students and the relationship with learning performance.…
Descriptors: Learning Analytics, Online Courses, Active Learning, Learning Management Systems
Amy Goodman; Youngjin Lee; Willard Elieson; Gerald Knezek – Journal of Computers in Mathematics and Science Teaching, 2023
Virtual learning environments give students more autonomy over their learning than traditional face-to-face classes and require that students adapt the ways they consume and assimilate new information. One theory of this process is self-regulated learning, which is illustrated in Efklides' Metacognitive and Affective model of Self-Regulated…
Descriptors: Self Management, Learning Theories, Learning Analytics, Undergraduate Students
Christina Rouse – ProQuest LLC, 2021
Analytics are expensive and time consuming. The unaddressed problem was the extent to which type (2-year vs. 4-year) and affiliation (public vs. private) of higher education institutions moderated analytics use in mediating the relationships between knowledge assets, institutional agility, and performance. This moderated mediation study…
Descriptors: Learning Analytics, Institutional Characteristics, Performance, Colleges
Nepal, Kedar; Paneru, Khyam; Basyal, Deepak – College Student Journal, 2020
This paper presents the results of a study on Calculus students' use of web-based homework. We collected data from students' web-based homework usage, such as their grades, time spent, number of attempts used to solve problems, and problem solutions. We also collected grades on in-class quizzes, which were given the day after homework had been…
Descriptors: Calculus, Undergraduate Students, Web Based Instruction, Mathematics Instruction
Judy Shih, Hui-chia – Innovation in Language Learning and Teaching, 2021
This paper attempts to investigate and compare two forms of learning logs using Google Sheets -- individual and collaborative learning logs -- and their effect on EFL university students' development of learner autonomy over the course of a semester. Subjects were 62 EFL learners from an intact English elective course at a private university in…
Descriptors: Cooperative Learning, Learning Analytics, Data Use, Personal Autonomy
Mozahem, Najib Ali – International Journal of Mobile and Blended Learning, 2020
Higher education institutes are increasingly turning their attention to web-based learning management systems. The purpose of this study is to investigate whether data collected from LMS can be used to predict student performance in classrooms that use LMS to supplement face-to-face teaching. Data was collected from eight courses spread across two…
Descriptors: Integrated Learning Systems, Data Use, Prediction, Academic Achievement

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