This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…

Learners are becoming increasingly divers. They may have much personal, social, cultural, psychological, and cognitive diversity. Forming suitable learning groups represents, therefore, a hard and time-consuming task. In Mobile Computer Supported Collaborative Learning (MCSCL) environments, this task is more difficult. Instructors need to consider…

This paper describes the findings of various researchers on the role of faculty, learners, administrators, and technology in the effectiveness of distance learners. New technology and learners' characteristics have contributed to the effectiveness of distance education. The planning and organizing of instructional materials for distance education…

This five-part report synthesizes current theory and research on the adult as learner and generates implications for design and delivery of learning systems, particularly those involving computer-mediated technology and related software. "Adult Learning in Context" (Sean Courtney, Jiali Luo) examines the current situation of the adult…

This consolidation study concentrates on major questions about effectiveness of online delivery of education and training in Australia through the literature that describes effects of these new forms of delivery on the learner/user and provider/practitioner. Chapter 1 focuses on sources of data used in the literature review, defines online…