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Xia, Xiaona – Interactive Learning Environments, 2023
Learning interaction activities are the key part of tracking and evaluating learning behaviors, that plays an important role in data-driven autonomous learning and optimized learning in interactive learning environments. In this study, a big data set of learning behaviors with multiple learning periods is selected. According to the instance…
Descriptors: Behavior, Learning Processes, Electronic Learning, Algorithms
Hlioui, Fedia; Aloui, Nadia; Gargouri, Faiez – International Journal of Web-Based Learning and Teaching Technologies, 2021
Nowadays, the virtual learning environment has become an ideal tool for professional self-development and bringing courses for various learner audiences across the world. There is currently an increasing interest in researching the topic of learner dropout and low completion in distance learning, with one of the main concerns being elevated rates…
Descriptors: At Risk Students, Withdrawal (Education), Dropouts, Distance Education
Karimi, Hamid; Derr, Tyler; Huang, Jiangtao; Tang, Jiliang – International Educational Data Mining Society, 2020
Online learning has attracted a large number of participants and is increasingly becoming very popular. However, the completion rates for online learning are notoriously low. Further, unlike traditional education systems, teachers, if any, are unable to comprehensively evaluate the learning gain of each student through the online learning…
Descriptors: Online Courses, Academic Achievement, Prediction, Teaching Methods
Rienties, Bart; Boroowa, Avinash; Cross, Simon; Kubiak, Chris; Mayles, Kevin; Murphy, Sam – Journal of Interactive Media in Education, 2016
There is an urgent need to develop an evidence-based framework for learning analytics whereby stakeholders can manage, evaluate, and make decisions about which types of interventions work well and under which conditions. In this article, we will work towards developing a foundation of an Analytics4Action Evaluation Framework (A4AEF) that is…
Descriptors: Open Universities, Foreign Countries, Intervention, Models
Yasmin, Dr. – Distance Education, 2013
This paper demonstrates the meaningful application of learning analytics for determining dropout predictors in the context of open and distance learning in a large developing country. The study was conducted at the Directorate of Distance Education at the University of North Bengal, West Bengal, India. This study employed a quantitative research…
Descriptors: Distance Education, Open Universities, Predictor Variables, Student Behavior
Bradshaw, Pete; Twining, Peter; Walsh, Christopher S. – American Journal of Distance Education, 2012
Developing a model for effective large-scale continuous professional development (CPD) for teachers remains a significant obstacle for many governments worldwide. This article describes the development and evolution of Vital--a CPD program designed to enhance the teaching of information communication technology in state-funded primary and…
Descriptors: Foreign Countries, Reflective Teaching, Inservice Teacher Education, Public School Teachers
Lopez-Varela, Asuncion, Ed. – InTech, 2012
This is a unique and groundbreaking collection of questions and answers coming from higher education institutions on diverse fields and across a wide spectrum of countries and cultures. It creates routes for further innovation, collaboration amidst the Sciences (both Natural and Social), the Humanities, and the private and public sectors of…
Descriptors: Social Sciences, Knowledge Management, Research Methodology, Higher Education
Lawrence, Arul A. S. – Online Submission, 2015
The XX IDEA annual conference has been focused and reflected on different ways and means of meeting various kinds of methodological challenges, new technologies and multi-media developments, newly emerging partnerships and collaboration between emerging sectors on one hand and between the institutions functioning with similar objectives and…
Descriptors: Foreign Countries, Open Education, Distance Education, Barriers
Zhang, Wei-yuan; Yeung, Lai-hung Au – Distance Education, 2003
The purpose of this paper is to report on the development of the first online self-directed inventory on the measurement of academic programme preferences (MAPP) for potential students at the Open University of Hong Kong (OUHK). In this study, trait-factor theory and personality type theory were employed. 1,963 respondents in Hong Kong were…
Descriptors: Foreign Countries, Open Universities, Lifelong Learning, Distance Education

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