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Ambroise Baillifard; Maxime Gabella; Pamela Banta Lavenex; Corinna S. Martarelli – Education and Information Technologies, 2025
Effective learning strategies based on principles like personalization, retrieval practice, and spaced repetition are often challenging to implement due to practical constraints. Here we explore the integration of AI tutors to complement learning programs in accordance with learning sciences. A semester-long study was conducted at UniDistance…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Instructional Effectiveness, Learning Strategies
Danial Hooshyar – Education and Information Technologies, 2024
Neural and symbolic architectures are key techniques in AI for learner modelling, enhancing adaptive educational services. Symbolic models offer explanation and reasoning for decisions but require significant human effort. On the other hand, neural architectures demand less human input and yield better predictions, yet lack interpretability. Given…
Descriptors: Artificial Intelligence, Modeling (Psychology), Learner Engagement, Achievement
Lockias Chitanana – Education and Information Technologies, 2024
This study investigated how lecturers and university students used WhatsApp as an academic tool. The study employed an ANT methodological and analytical framework to investigate WhatsApp as an academic tool in a university set-up in post COVID-19 era. Participants were selected from one state university. The snowball purposive sampling approach…
Descriptors: Educational Technology, Technology Uses in Education, Computer Oriented Programs, College Faculty
Xue Yang – Education and Information Technologies, 2024
Mobile devices have increased exponentially in the past decades and the rapid development of digital technology has provided rich soil for the growth of mobile learning (m-learning), which is a more convenient means of learning because of no limitations of space and time. Applying the stimulus-organism-response (S-O-R) framework, this study…
Descriptors: Electronic Learning, Learning Processes, Stimuli, Attention Span
Mokmin, Nur Azlina Mohamed; Jamiat, Nurullizam – Education and Information Technologies, 2021
Based on the study of virtual learning systems, motion learning theory, and instructional design theory, a virtual fitness trainer app named TRAINIME has been developed to be used as one of the tools to teach exercise for fitness education programs. This paper describes the design and development as well as the evaluation of the developed app. The…
Descriptors: Physical Education, Physical Fitness, Educational Technology, Computer Oriented Programs
Papastergiou, Marina; Natsis, Petros; Vernadakis, Nikolaos; Antoniou, Panagiotis – Education and Information Technologies, 2021
The aim of this study was to assess the impact of the integration of tablets and a mobile application for fitness development into a PE lesson in primary education, in schools that did not apply a 'one tablet per child' policy, on students' intrinsic motivation for the PE lesson. Four 5th grade and four 6th grade classes (145 students aged…
Descriptors: Handheld Devices, Computer Oriented Programs, Physical Fitness, Physical Education
Xinogalos, Stelios; Satratzemi, Maya; Malliarakis, Christos – Education and Information Technologies, 2017
Teaching and learning programming constitutes a challenge. Although several teaching approaches and programming tools have been proposed, it seems that they have limited impact on classroom practice. This article investigates students' perceptions on five educational programming environments that are widely used and the features that any…
Descriptors: Computer Science Education, Programming, Introductory Courses, Student Attitudes