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Amine Boulahmel; Fahima Djelil; Gregory Smits – Technology, Knowledge and Learning, 2025
Self-regulated learning (SRL) theory comprises cognitive, metacognitive, and affective aspects that enable learners to autonomously manage their learning processes. This article presents a systematic literature review on the measurement of SRL in digital platforms, that compiles the 53 most relevant empirical studies published between 2015 and…
Descriptors: Independent Study, Educational Research, Classification, Educational Indicators
Marcela Pessoa; Marcia Lima; Fernanda Pires; Gabriel Haydar; Rafaela Melo; Luiz Rodrigues; David Oliveira; Elaine Oliveira; Leandro Galvao; Bruno Gadelha; Seiji Isotani; Isabela Gasparini; Tayana Conte – IEEE Transactions on Learning Technologies, 2024
Game designers and researchers have sought to create gameful environments that consider user preferences to increase engagement and motivation. In this sense, it is essential to identify the most suitable game elements for users' profiles. Designers and researchers must choose strategies to classify users into predefined profiles and select the…
Descriptors: Educational Environment, Game Based Learning, Classification, Learner Engagement
Catherine Akoth Ongoro; Yong-Yi Fanjiang – IEEE Transactions on Learning Technologies, 2024
This article aims to provide a systematic review of existing research on the use of digital game-based learning (DGBL) technology for foreign language (English) in preschool and elementary schools. Digital game-based technology enables learning to become more interactive and inspirational, thereby enhancing language acquisition. The authors…
Descriptors: Game Based Learning, Elementary School Students, Preschool Education, Creativity
Hemmler, Yvonne M.; Rasch, Julian; Ifenthaler, Dirk – TechTrends: Linking Research and Practice to Improve Learning, 2023
Educational recommender systems offer benefits for workplace learning by tailoring the selection of learning activities to the individual's learning goals. However, existing systems focus on the learner as the primary stakeholder of learning processes and do not consider the organization's perspective. We conducted a systematic review to develop a…
Descriptors: Workplace Learning, Educational Objectives, Educational Technology, Artificial Intelligence
Souabi, Sonia; Retbi, Asmaâ; Idrissi, Mohammed Khalidi; Bennani, Samir – Electronic Journal of e-Learning, 2021
E-learning is renowned as one of the highly effective modalities of learning. Social learning, in turn, is considered to be of major importance as it promotes collaboration between learners. For properly managing learning resources, recommender systems have been implemented in e-learning to enhance learners' experience. Whilst recommender systems…
Descriptors: Artificial Intelligence, Information Systems, Electronic Learning, Social Development
Self-Regulation Strategies in Blended Learning Environments in Higher Education: A Systematic Review
Eggers, Jan Hein; Oostdam, Ron; Voogt, Joke – Australasian Journal of Educational Technology, 2021
Although self-regulation is an important feature related to students' study success as reflected in higher grades and less academic course delay, little is known about the role of self-regulation in blended learning environments in higher education. For this review, we analysed 21 studies in which self-regulation strategies were taught in the…
Descriptors: Metacognition, Blended Learning, Teaching Methods, Learning Strategies
Jamiu Adekunle Idowu – International Journal of Artificial Intelligence in Education, 2024
This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…
Descriptors: Algorithms, Dropouts, Prediction, Academic Achievement
Fong, Carlton J.; Lee, Jihyun; Krou, Megan R.; Hoff, Meagan A.; Johnston-Ashton, Karen; Gonzales, Cassandra; Beretvas, S. Natasha – Journal of Experimental Education, 2023
The Learning and Study Strategies Inventory (LASSI; Weinstein et al., "Learning and study strategies inventory." H&H Publishing, 1987) is a prominent instrument used in thousands of institutions worldwide as an educational and research tool. Despite its widespread prevalence, there are inconsistencies regarding the underlying latent…
Descriptors: Meta Analysis, Factor Structure, Learning Strategies, Measures (Individuals)
Khaleel Asyraaf Mat Sanusi; Deniz Iren; Nardie Fanchamps; Mai Geisen; Roland Klemke – Educational Technology Research and Development, 2025
Psychomotor skill training has traditionally relied on the physical presence of both teacher and learner for effective demonstrations and feedback, posing challenges for remote and self-directed learning. Technological advancements have given rise to immersive learning environments (ILEs), offering novel solutions for interactive and multimodal…
Descriptors: Psychomotor Skills, Skill Development, Computer Simulation, Electronic Learning
Knobbout, Justian; van der Stappen, Esther – IEEE Transactions on Learning Technologies, 2020
Learning technologies enable interventions in the learning process aiming to improve learning. Learning analytics provides such interventions based on analysis of learner data, which are believed to have beneficial effects on both learning and the learning environment. Literature reporting on the effects of learning analytics interventions on…
Descriptors: Learning Analytics, Intervention, Educational Research, Outcomes of Education
Mertens, Ute; Finn, Bridgid; Lindner, Marlit Annalena – Journal of Educational Psychology, 2022
Feedback is one of the most important factors for successful learning. Contemporary computer-based learning and testing environments allow the implementation of automated feedback in a simple and efficient manner. Previous meta-analyses suggest that different types of feedback are not equally effective. This heterogeneity might depend on learner…
Descriptors: Computer Assisted Testing, Feedback (Response), Electronic Learning, Network Analysis
Gündogdu, Burcu; Merç, Ali – Journal of Learning and Teaching in Digital Age, 2022
This study aims to make a systematic review of technology-supported collaborative creativity pedagogy and practices in the field of education by focusing on peer-reviewed articles published in journals between 2014 and 2019. The targeted educational levels were specified as elementary, secondary education and teacher education students. 21 studies…
Descriptors: Educational Practices, Journal Articles, Creative Activities, Creativity
Mohamed, Mohamed Zulhilmi bin; Hidayat, Riyan; Suhaizi, Nurain Nabilah binti; Sabri, Norhafiza binti Mat; Mahmud, Muhamad Khairul Hakim bin; Baharuddin, Siti Nurshafikah binti – International Electronic Journal of Mathematics Education, 2022
The advancement of technology like artificial intelligence (AI) provides a chance to help teachers and students solve and improve teaching and learning performances. The goal of this review is to add to the conversation by offering a complete overview of AI in mathematics teaching and learning for students at all levels of education. A systematic…
Descriptors: Artificial Intelligence, Mathematics Instruction, Meta Analysis, Databases
Kari K. Veblen; Janice L. Waldron – Visions of Research in Music Education, 2023
With the rise of the internet, work from the of fields of digital sociology, communications/social media studies, and online research methods have become increasingly relevant for music education scholars both investigating and facilitating music teaching and learning in online contexts. While opportunities for online music making, teaching, and…
Descriptors: Sociology, Music, Electronic Learning, Social Media
Pant, Harsh Vardhan; Lohani, Manoj Chandra; Pande, Jeetendra – International Journal of Information and Communication Technology Education, 2021
MOOCs have emerged as an important form of Open and Distance Learning. The success of a MOOC platform depends on the support services and the motivational environment that it provides. This paper presents a comprehensive picture of the literature on the motivations that drive learners to enroll in MOOCs, published between the years 2011 to 2020.…
Descriptors: Online Courses, Academic Persistence, Distance Education, Enrollment