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Ilana Dubovi – Interactive Learning Environments, 2024
Virtual reality (VR) has been shown to induce excessive affective processing, which in turn impacts the learning process and learning outcomes. Therefore, a better understanding of emotional dynamics and how emotions are instigated while learning with VR is needed. For this purpose, the students learning process with a VR simulation was captured…
Descriptors: Nonverbal Communication, Psychological Patterns, Learner Engagement, Computer Simulation
Liping Jiang; Ghayth Kamel Shaker Al-Shaibani – Interactive Learning Environments, 2024
Recently, universities and colleges have gradually shifted from face-to-face teaching to small private online course-based teaching, which integrates massive open online courses with physical classroom teaching. However, learners often experience adjustment problems within this relatively new environment. This survey-based study evaluated the…
Descriptors: Electronic Learning, Adjustment (to Environment), Personality Traits, Higher Education
Chi-Tung Chen; Chih-Ming Chen; Hsiao-Ting Tsai – Interactive Learning Environments, 2024
This study utilised the instant semantic analysis and feedback system (ISAFS) to assist learners in the online discussion learning activities of socio-scientific issues (SSIs) and to document their learning process behaviours for behavioural analyses. The aim was to understand the learners' discussion behaviours during the ISAFS assisted learning…
Descriptors: Behavior Patterns, Electronic Learning, Discussion, Instructional Effectiveness
Tlili, Ahmed; Denden, Mouna; Essalmi, Fathi; Jemni, Mohamed; Chang, Maiga; Kinshuk; Chen, Nian-Shing – Interactive Learning Environments, 2023
The ability of automatically modeling learners' personalities is an important step in building adaptive learning environments. Several studies showed that knowing the personality of each learner can make the learning interaction with the provided learning contents and activities within learning systems more effective. However, the traditional…
Descriptors: Learning Analytics, Learning Management Systems, Intelligent Tutoring Systems, Bayesian Statistics
Gu, Jia – Interactive Learning Environments, 2016
This paper presents the findings from a multiple-case study which has investigated the impact of mobile Web 2.0 technologies on self-directed learning (SDL) of workplace learners by exploring participants' learning experiences with a mobile App. Drawing on existing literatures, we examined learners' SDL personal attributes and process in the…
Descriptors: Web 2.0 Technologies, Workplace Learning, Adult Learning, Learning Processes