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Showing 1 to 15 of 19 results Save | Export
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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Hu, Yung-Hsiang – International Review of Research in Open and Distributed Learning, 2022
Early warning systems (EWSs) have been successfully used in online classes, especially in massive open online courses, where it is nearly impossible for students to interact face-to-face with their teachers. Although teachers in higher education institutions typically have smaller class sizes, they also face the challenge of being unable to have…
Descriptors: Dropout Prevention, At Risk Students, Online Courses, Private Colleges
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Ibañez, Patricia; Villalonga, Cristina; Nuere, Leire – Technology, Knowledge and Learning, 2020
The main objective of educational institutions is to achieve the integral development of their students in their learning and knowledge construction process. One way to achieve these objectives is the accompaniment and continuous monitoring of students in this process, adapting the methods to their training needs. In online and mixed teaching…
Descriptors: Learning Analytics, Foreign Countries, Educational Environment, Electronic Learning
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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
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Aburizaizah, Saeed Jameel – Journal of Education and Learning, 2021
For many justifications, the collection, analysis, and use of educational data are central to the evaluation and improvement of students' progress and learning outcomes. The use of data in educational evaluation and decision making are expected to span all layers--from the institution, teachers, students, and classroom levels, providing a…
Descriptors: Data Use, Decision Making, Progress Monitoring, Learning Analytics
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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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McCallum, Suzanne; Milner, Margaret M. – Assessment & Evaluation in Higher Education, 2021
This article reports on the implementation of formative e-assessments in courses taken by first-year students. The central aim is to measure the effectiveness of the formative e-assessments with reference to the student voice and staff reflections. Students engaged with the formative assessments and the evidence gathered via questionnaires show…
Descriptors: Formative Evaluation, Instructional Effectiveness, Student Attitudes, Teacher Attitudes
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Pawade, Dipti – Journal of Educational Technology, 2019
Nowadays learning is not confined within the walls of the classroom. Online learning management systems like Moodle empowers the instructor to establish their online presence and create as well as manage courses with ease. At the same time, such learning avenues help the students to access the course any time. To utilize the online learning…
Descriptors: Instructional Effectiveness, Integrated Learning Systems, Learner Engagement, Progress Monitoring
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Harrold, Peter – Research-publishing.net, 2019
The Xreading website provides students with access to an extensive virtual library of graded readers. Teachers can then use it to keep track of which titles the students access, the total number of words they read, their reading speed, and also whether they have completed post-reading quizzes. However, an overreliance on monitoring student…
Descriptors: Reading Programs, Web Sites, Integrated Learning Systems, Electronic Libraries
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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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Jokhan, Anjeela; Sharma, Bibhya; Singh, Shaveen – Studies in Higher Education, 2019
Early warning systems are being used to assist students in their studies as well as understanding student behaviour and performance better. A home-grown EWS plug-in for Moodle was used to predict the student performance in a first year IT literacy course at University of the South Pacific. The alert tool was designed to capture student logins,…
Descriptors: Higher Education, College Students, Online Courses, At Risk Students
Bhatty, Mansoor Ahmad – Online Submission, 2020
The purpose of this research was to study how teachers perceive teaching presence, what strategies they employ to create it, and the challenges they face in doing so. This was a qualitative research study with purposeful snowball sampling and semi-structured interviewing technique for data collection. The data were thematically analyzed and…
Descriptors: Teacher Attitudes, Teacher Student Relationship, Online Courses, Educational Technology
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Baneres, David; Rodriguez-Gonzalez, M. Elena; Serra, Montse – IEEE Transactions on Learning Technologies, 2019
Identifying at-risk students as soon as possible is a challenge in educational institutions. Decreasing the time lag between identification and real at-risk state may significantly reduce the risk of failure or disengage. In small courses, their identification is relatively easy, but it is impractical on larger ones. Current Learning Management…
Descriptors: Prediction, Feedback (Response), At Risk Students, College Freshmen
Miller, Cynthia; Cohen, Benjamin; Yang, Edith; Pellegrino, Lauren – MDRC, 2020
College students have a better chance of succeeding in school when they receive high-quality advising. High-quality advising, when characterized by frequent communications between advisers and students, early outreach to students showing signs of academic or nonacademic struggles, and personalized guidance that addresses individual student needs,…
Descriptors: College Students, Academic Advising, Technology Uses in Education, Faculty Advisers
Silvernail, David L.; Stump, Erika K.; McCafferty, Anita Stewart; Hawes, Kathryn M. – Center for Education Policy, Applied Research, and Evaluation, 2014
This report describes the findings from Phase II of a study of Maine's implementation of a proficiency-based diploma system. At the request of the Joint Standing Committee on Education and Cultural Affairs of the Maine Legislature, the Maine Policy Research Institute (MEPRI) has conducted a two-phased study of the implementation of Maine law…
Descriptors: Academic Standards, Academic Achievement, Educational Policy, State Legislation
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