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Showing 1 to 15 of 28 results Save | Export
González, Carlos; López, Dany; Calle-Arango, Lina; Montenegro, Helena; Clasing, Paula – ECNU Review of Education, 2022
Purpose: This study aims to explore Chilean students' digital technology usage patterns and approaches to learning. Design/Approach/Methods: We conducted this study in two stages. We worked with one semester learning management systems (LMS), library, and students' records data in the first one. We performed a k-means cluster analysis to identify…
Descriptors: Foreign Countries, Electronic Learning, Technology Uses in Education, Use Studies
Hess, Richard M. – ProQuest LLC, 2021
The purpose of this study was to explore and analyze the utilization of learning analytics data produced by a learning management system as an indicator of learners' self-regulation. In the Spring of 2021, 258 learners at a four-year, mid-Atlantic university provided access to their learning management system data. Of those 258 learners, 86…
Descriptors: Self Control, Integrated Learning Systems, Learning Analytics, Undergraduate Students
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Chen, Fu; Cui, Ying – Journal of Learning Analytics, 2020
Predictive analytics in higher education has become increasingly popular in recent years with the growing availability of educational big data. Particularly, a wealth of student activity data is available from learning management systems (LMSs) in most academic institutions. However, previous investigations into predictive analytics in higher…
Descriptors: Time on Task, Student Behavior, Integrated Learning Systems, Grade Prediction
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Darko, Charles – SAGE Open, 2021
"Blackboard" is an important Learning Management System (LMS) employed at most higher education institutions to engage and interact with students during their studies. Students within Material Science and Engineering (MSE) often use these LMS's to absorb mathematical derivations, scientific information and submit coursework tasks. In…
Descriptors: Integrated Learning Systems, Correlation, Grades (Scholastic), Academic Achievement
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Kew, Si Na; Tasir, Zaidatun – Knowledge Management & E-Learning, 2021
Discussion forums provide students with accessible platforms for group discussions in e-learning environments. They also help lecturers to track and check student discussions. To improve student learning, it is important for lecturers to identify students' cognitive engagement in discussion forums. Therefore, this study aims to investigate…
Descriptors: Learner Engagement, Electronic Learning, Discussion Groups, Discussion (Teaching Technique)
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Onodipe, Grace; Keengwe, Jared; Cottrell-Yongye, Adrienne – Journal of Teaching and Learning with Technology, 2020
The inherent structure of the flipped classroom supports a learning environment that promotes students' self-regulated learning. In this article, we focus on how a learning management system (LMS), in this case BrightSpace D2L, plays a key role in supporting all aspects of the flipped classroom. We discuss how preclass assignments help students…
Descriptors: Integrated Learning Systems, Self Management, Learning Analytics, Flipped Classroom
Walton, Kate E.; San Pedro, Sweet; Whitmer, John; Liu, Ruitao; Moore, Joann L.; Lotero, Alejandro Andrade – ACT, Inc., 2020
A focus of learning analytics research has been the collection, analysis, and interpretation of data from online academic technologies, particularly in higher education where these technologies are incorporated extensively into the student learning experience. In particular, the learning management system (LMS) has emerged as a technology…
Descriptors: Learning Analytics, Integrated Learning Systems, Technology Integration, Educational Technology
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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)
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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
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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
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Lancaster, Alia; Moses, Scott; Clark, Martyn; Masters, Megan C. – Journal of Learning Analytics, 2020
Learning management systems (LMSs) are ubiquitous components of the academic technology experience for learners across a wide variety of instructional contexts. Learners' interactions within an LMS are often contingent upon how instructors architect a module, course, or program of study. Patterns related to these learner interactions, often…
Descriptors: Writing Instruction, Instructional Design, Learning Analytics, Integrated Learning Systems
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Guzsvinecz, Tibor; Szucs, Judit – Education Sciences, 2021
Face-to-face education has changed to blended or distance teaching due to the COVID-19 pandemic. Since education took a digital format, it can be investigated when course materials are accessed relative to online exams: are they opened before exams or during them? Therefore, four subjects were chosen for investigation at the University of…
Descriptors: Learning Analytics, Instructional Materials, Computer Assisted Testing, Electronic Learning
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Kokoç, Mehmet; Kara, Mehmet – Educational Technology & Society, 2021
The purposes of the two studies reported in this research are to adapt and validate the instrument of the Evaluation Framework for Learning Analytics (EFLA) for learners into the Turkish context, and to examine how metacognitive and behavioral factors predict learner performance. Study 1 was conducted with 83 online learners enrolled in a 16-week…
Descriptors: Learning Analytics, Electronic Learning, Measures (Individuals), Test Validity
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Shabbir, Shahzad; Ayub, Muhammad Adnan; Khan, Farman Ali; Davis, Jeffrey – Interactive Technology and Smart Education, 2021
Purpose: Short-term motivation encompasses specific, challenging and attainable goals that develop in the limited timespan. On the other hand, long-term motivation indicates a sort of continuing commitment that is required to complete assigned task. As short-term motivational problems span for a limited period of time, such as a session,…
Descriptors: Learning Motivation, Electronic Learning, Time Factors (Learning), Learning Processes
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Jayashanka, Rangana; Hettiarachchi, E.; Hewagamage, K. P. – Electronic Journal of e-Learning, 2022
During the COVID-19 pandemic period, all the Sri Lankan universities delivered lectures in fully online mode using Virtual Learning Environments. In fully online mode, students cannot track their performance level, their progress in the course, and their performances compared to the rest of the class. This paper presents research work conducted at…
Descriptors: Foreign Countries, Technology Uses in Education, Learning Analytics, Electronic Learning
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