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Direct linkZhi Liu; Rui Mu; Zongkai Yang; Xian Peng; Sannyuya Liu; Jia Chen – Interactive Learning Environments, 2023
Massive open online courses (MOOCs) provide learners with high-quality learning resources, but learners drop out frequently. Learners' concerns (e.g. the topics in course content or logistics) and cognitive engagement patterns (e.g. "tentative" or "certain") are considered the essential factors affecting learners' course…
Descriptors: MOOCs, Cognitive Processes, Learner Engagement, Discussion Groups
Shu-Hsuan Chang; Lee-Jen Yang; Ching-Huei Chen; Chun-Chao Shih; Yu Shu; Ying-Tsung Chen – Interactive Learning Environments, 2024
The purpose of this meta-analysis was to examine the overall effect and impact of moderators in the context of STEM education. This study first summarized previous meta-analysis studies on STEM education and pinpointed gaps in the current literature, such as inconsistent results and the mixed effects of moderators. It also assessed critical…
Descriptors: STEM Education, Academic Achievement, Outcomes of Education, School Location
Med Nadjib Kouahla; Adil Boughida; Imed Chebata; Zohra Mehenaoui; Yacine Lafifi – Interactive Learning Environments, 2023
In e-learning environments, several activities are offered to learners, including learning and assessment activities. During these activities, the learner may encounter difficulties, such as blocking situations or lack of motivation. This paper presents a new approach to detect these difficulties based on the learner's emotional states and…
Descriptors: Psychological Patterns, Cognitive Processes, Electronic Learning, Emotional Response
Bian Wu; Xinyu Chang; Yiling Hu – Interactive Learning Environments, 2024
Recent years have seen an increase number of studies on spherical video-based virtual reality (SVVR) in education.However, the impact of SVVR on learning performance remains unclear and cannot be simply generalized from traditional VR-based education. The purpose of this study was to examine the overall effects of SVVR on cognitive and…
Descriptors: Video Technology, Computer Simulation, Cognitive Processes, Outcomes of Education
Du, Xu; Zhang, Mingyan; Shelton, Brett E.; Hung, Jui-Long – Interactive Learning Environments, 2022
The study proposes two new measures, time and location entropy, to depict students' physical spatio-temporal contexts when engaged in an online course. As "anytime, anywhere" access has been touted as one of the most attractive features of online learning, the question remains as to the success of students when engaging in online courses…
Descriptors: Electronic Learning, Online Courses, Access to Education, Learning Processes
Chang, Hsin-Yi – Interactive Learning Environments, 2017
Two investigations were conducted in this study. In the first experiment, the effects of two types of interactivity with a computer simulation were compared: experimentation versus observation interactivity. Experimentation interactivity allows students to use simulations to conduct virtual experiments, whereas observation interactivity allows…
Descriptors: Computer Simulation, Interaction, Scaffolding (Teaching Technique), Experiments
Akyol, Zehra; Vaughan, Norm; Garrison, D. Randy – Interactive Learning Environments, 2011
This study investigated the effect of time on the development of a community of inquiry by examining an online course offered over two different time periods. The study was guided by the Community of Inquiry (CoI) framework (Garrison, Anderson, & Archer, "The Internet and Higher Education" 2000; 2(2-3): 87-105). The focus was on a graduate level…
Descriptors: Blended Learning, Online Courses, Computer Mediated Communication, Discussion Groups
Smits, Marieke H. S. B.; Boon, Jo; Sluijsmans, Dominique M. A.; van Gog, Tamara – Interactive Learning Environments, 2008
This study investigated the effectiveness of different types of feedback content (elaborate versus global) and feedback timing (immediate versus delayed) for learning genetics in a web-based learning environment as a function of learners' prior knowledge. It was hypothesized that learning outcomes of students with low prior knowledge would be…
Descriptors: Feedback (Response), Student Attitudes, Computer Assisted Instruction, Prior Learning
