NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Fei Ping Por; Christina Sook Beng Ong; Siew Keow Ng; Arathai Din Eak – Interactive Technology and Smart Education, 2025
Purpose: The psychological theory of self-determination postulated that gamification enhances learning engagement by intrinsically motivating learners to undertake tasks spontaneously. Gamification has then been integrated into adult learning as part of the initiative of learner-centred pedagogies to curb the low retention rates of adult learners…
Descriptors: Bibliometrics, Gamification, Adult Learning, Student Centered Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Anagha Vaidya; Sarika Sharma – Interactive Technology and Smart Education, 2024
Purpose: Course evaluations are formative and are used to evaluate learnings of the students for a course. Anomalies in the evaluation process can lead to a faulty educational outcome. Learning analytics and educational data mining provide a set of techniques that can be conveniently applied to extensive data collected as part of the evaluation…
Descriptors: Course Evaluation, Learning Analytics, Formative Evaluation, Information Retrieval
Peer reviewed Peer reviewed
Direct linkDirect link
Khan, Farheen Mujeeb; Gupta, Yuvika – Interactive Technology and Smart Education, 2022
Purpose: This study aims to contribute to literature on mobile learning (m-learning) by proposing four research clusters whereby scholars can expand m-learning research to facilitate effective learning experiences for students. Design/methodology/approach: This study reviews student-centric literature on m-learning since 2010 and presents insights…
Descriptors: Bibliometrics, Electronic Learning, Handheld Devices, Instructional Effectiveness
Peer reviewed Peer reviewed
Direct linkDirect link
Akhrif, Ouidad; Benfaress, Chaymae; EL Jai, Mostapha; El Bouzekri El Idrissi, Youness; Hmina, Nabil – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this paper is to reveal the smart collaborative learning service. This concept aims to build teams of learners based on the complementarity of their skills, allowing flexible participation and offering interdisciplinary collaboration opportunities for all the learners. The success of this environment is related to predict…
Descriptors: Artificial Intelligence, Cooperative Learning, Interdisciplinary Approach, Universities