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Direct linkChenglu Li; Wanli Xing; Walter Leite – Interactive Learning Environments, 2024
As instruction shifts away from traditional approaches, online learning has grown in popularity in K-12 and higher education. Artificial intelligence (AI) and learning analytics methods such as machine learning have been used by educational scholars to support online learners on a large scale. However, the fairness of AI prediction in educational…
Descriptors: Artificial Intelligence, Prediction, Mathematics Achievement, Algorithms
Bingxue Zhang; Yang Shi; Yuxing Li; Chengliang Chai; Longfeng Hou – Interactive Learning Environments, 2023
The adaptive learning environment provides learning support that suits individual characteristics of students, and the student model of the adaptive learning environment is the key element to promote individualized learning. This paper provides a systematic overview of the existing student models, consequently showing that the Elo rating system…
Descriptors: Electronic Learning, Models, Students, Individualized Instruction
Jérôme Hutain; Nicolas Michinov – Interactive Learning Environments, 2024
The role of individual feedback in (online) learning has been widely studied by researchers, but collective feedback based on quizzes and its impact on various academic outcomes has been overlooked to date. The aim of the present study was to compare the effects of displaying individual or collective feedback during an online course on students'…
Descriptors: Feedback (Response), Student Evaluation, Electronic Learning, Student Attitudes
Farias, Gonzalo; Muñoz de la Peña, David; Gómez-Estern, Fabio; De la Torre, Luis; Sánchez, Carlos; Dormido, Sebastián – Interactive Learning Environments, 2016
Automatic evaluation is a challenging field that has been addressed by the academic community in order to reduce the assessment workload. In this work we present a new element for the authoring tool Easy Java Simulations (EJS). This element, which is named automatic evaluation element (AEE), provides automatic evaluation to virtual and remote…
Descriptors: Interaction, Laboratories, Distance Education, Educational Technology
Chae, Soo Eun; Shin, Jae-Han – Interactive Learning Environments, 2016
This study was aimed to find which tutoring styles significantly predict learners' satisfaction with an e-learning service, academic involvement, and academic achievement. The tutoring styles included subject expert, facilitator, guider, and administrator. In this study, 818 Korean sixth-grade students (ages 11-12 years), enrolled in the…
Descriptors: Foreign Countries, Tutoring, Teaching Styles, Student Satisfaction
Wongwatkit, Charoenchai; Srisawasdi, Niwat; Hwang, Gwo-Jen; Panjaburee, Patcharin – Interactive Learning Environments, 2017
The advancement of computer and communication technologies has enabled students to learn across various real-world contexts with supports from the learning system. In the meantime, researchers have emphasized the necessity of providing personalized learning guidance or support by considering individual students' status and needs in order to…
Descriptors: Electronic Learning, Web Based Instruction, Educational Diagnosis, Formative Evaluation
Wong, Lung-Hsiang; Looi, Chee-Kit – Interactive Learning Environments, 2012
The notion of a system adapting itself to provide support for learning has always been an important issue of research for technology-enabled learning. One approach to provide adaptivity is to use social navigation approaches and techniques which involve analysing data of what was previously selected by a cluster of users or what worked for…
Descriptors: Electronic Learning, Entomology, Educational Technology, Individualized Instruction
Nagel, L.; Blignaut, A. S.; Cronje, J. C. – Interactive Learning Environments, 2009
The establishment of an online community is widely held as the most important prerequisite for successful course completion and depends on an interaction between a peer group and a facilitator. Beaudoin reasoned that online students sometimes engage and learn even when not taking part in online discussions. The context of this study was an online…
Descriptors: Feedback (Response), Online Courses, Peer Relationship, Educational Technology
