NotesFAQContact Us
Collection
Advanced
Search Tips
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 50 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Cleophas, Catherine; Hönnige, Christoph; Meisel, Frank; Meyer, Philipp – INFORMS Transactions on Education, 2023
As the COVID-19 pandemic motivated a shift to virtual teaching, exams have increasingly moved online too. Detecting cheating through collusion is not easy when tech-savvy students take online exams at home and on their own devices. Such online at-home exams may tempt students to collude and share materials and answers. However, online exams'…
Descriptors: Computer Assisted Testing, Cheating, Identification, Essay Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Earl H. McKinney Jr.; Simon Ginzinger – Journal of Information Systems Education, 2024
The growing use of analytics has increased the demand for more highly data literate graduates. Awareness of ambiguity in data has been suggested as a new data literacy skill. Here, we describe a student-centered semester-long project that can be used to teach this skill in an introductory analytics or database course. The project requires students…
Descriptors: Student Centered Learning, Student Projects, Consciousness Raising, Ambiguity (Context)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Barbara Wasson; Michail Giannakos; Marte Blikstad-Balas; Per Henning Uppstad; Malcolm Langford; Einar D. Bøhn – Journal of Learning Analytics, 2024
In June 2022, the Norwegian Expert Commission on Learning Analytics delivered an interim report to the Norwegian Minister of Education and Research. Motivated by the need to establish a solid foundation upon which to regulate and promote the use of learning analytics in the Norwegian educational sector, the Ministry asked the Expert Commission to…
Descriptors: Learning Analytics, Foreign Countries, Elementary Secondary Education, Higher Education
Peer reviewed Peer reviewed
Direct linkDirect link
Hua Ma; Wen Zhao; Yuqi Tang; Peiji Huang; Haibin Zhu; Wensheng Tang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…
Descriptors: College Students, Learning Analytics, Learning Management Systems, Academic Achievement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
McEneaney, John; Morsink, Paul – Journal of Learning Analytics, 2022
Learning analytics (LA) provides tools to analyze historical data with the goal of better understanding how curricular structures and features have impacted student learning. Forward-looking curriculum design, however, frequently involves a degree of uncertainty. Historical data may be unavailable, a contemplated modification to curriculum may be…
Descriptors: Curriculum Design, Learning Analytics, Educational Change, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Jones, Kyle M. L.; Briney, Kristin A.; Goben, Abigail; Salo, Dorothea; Asher, Andrew; Perry, Michael R. – College & Research Libraries, 2020
Universities are pursuing learning analytics practices to improve returns from their investments, develop behavioral and academic interventions to improve student success, and address political and financial pressures. Academic libraries are additionally undertaking learning analytics to demonstrate value to stakeholders, assess learning gains…
Descriptors: Academic Libraries, Learning Analytics, Privacy, Ethics
Peer reviewed Peer reviewed
Direct linkDirect link
Veluvali, Parimala; Surisetti, Jayesh – Higher Education for the Future, 2022
Online education helped resume learning that had come to a momentary and uncertain pause with the onset of COVID-19 pandemic across the globe. Since then, learning in many educational institutions continued through synchronous and asynchronous modes, with teaching being undertaken remotely on digital platforms. In this large-scale migration…
Descriptors: Integrated Learning Systems, Learner Engagement, Higher Education, Literature Reviews
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Khalid Oqaidi; Sarah Aouhassi; Khalifa Mansouri – International Association for Development of the Information Society, 2022
The dropout of students is one of the major obstacles that ruin the improvement of higher education quality. To facilitate the study of students' dropout in Moroccan universities, this paper aims to establish a clustering approach model based on machine learning algorithms to determine Moroccan universities categories. Our objective in this…
Descriptors: Models, Prediction, Dropouts, Learning Analytics
Peer reviewed Peer reviewed
Direct linkDirect link
Arruarte, Josu; Larrañaga, Mikel; Arruarte, Ana; Elorriaga, Jon A. – International Journal of Artificial Intelligence in Education, 2021
In order to be effective, a learning process requires the use of valid and suitable educational resources. However, measuring the quality of an educational resource is not an easy task for a teacher. The data of the performance of the students can be used to measure how appropriate the didactic resources are. Besides this data, adequate metrics…
Descriptors: Educational Resources, Educational Quality, Learning Analytics, Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Hector Vargas; Ruben Heradio; Gonzalo Farias; Zhongcheng Lei; Luis de la Torre – IEEE Transactions on Education, 2024
Contribution: A competency assessment framework that enables learning analytics for course monitoring and continuous improvement. Our work fills the gap in systematic methods for competency assessment in higher education. Background: Many institutions are shifting toward competency-based education (CBE), thus encouraging their educators to start…
Descriptors: Competency Based Education, Learning Analytics, Higher Education, College Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Watanabe, Hiroyuki; Chen, Li; Geng, Xuewang; Goda, Yoshiko; Shimada, Atsushi – International Association for Development of the Information Society, 2020
Learning skills include abilities, habits, understanding, and attitudes which are utilized to achieve learning. Students will not achieve good grades unless they properly manage their limited study time. However, it is not easy for them to organize their own study time and learn how to use it efficiently. Notably, learning analytics has not been…
Descriptors: Time Management, Learning Analytics, Skill Development, Self Management
Peer reviewed Peer reviewed
Direct linkDirect link
Brown, Alice; Lawrence, Jill; Basson, Marita; Redmond, Petrea – Higher Education Research and Development, 2022
Student engagement is consistently identified as a key predictor of learner outcomes within the online learning environment. However, there is limited guidance about using proactive strategies to improve engagement for low and non-engaged students: for example by specifically employing course learning analytics (CLA) and nudging strategies in…
Descriptors: Electronic Learning, Learner Engagement, Instructional Improvement, College Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Martinez-Maldonado, Roberto; Elliott, Doug; Axisa, Carmen; Power, Tamara; Echeverria, Vanessa; Buckingham Shum, Simon – Interactive Learning Environments, 2022
Learning Analytics (LA) systems can offer new insights into learners' behaviours through analysis of multiple data streams. There remains however a dearth of research about how LA interfaces can enable effective communication of educationally meaningful insights to teachers and learners. This highlights the need for a participatory, horizontal…
Descriptors: Learning Analytics, Design, Teamwork, Clinical Experience
Peer reviewed Peer reviewed
Direct linkDirect link
Bull, Susan – International Journal of Artificial Intelligence in Education, 2021
For the special issue of the International Journal of Artificial Intelligence in Education dedicated to the memory of Jim Greer, this paper highlights some of Jim's extensive and always-timely contributions to the field: from his early AI-focussed research on intelligent tutoring systems, through a variety of applications deployed to support…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Educational Research, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Nguyen, Andy; Gardner, Lesley; Sheridan, Don – Journal of Information Systems Education, 2020
Data analytics in higher education provides unique opportunities to examine, understand, and model pedagogical processes. Consequently, the methodologies and processes underpinning data analytics in higher education have led to distinguishing, highly correlative terms such as Learning Analytics (LA), Academic Analytics (AA), and Educational Data…
Descriptors: Learning Analytics, Higher Education, Computer Assisted Instruction, Student Centered Learning
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4