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Rebecca S. Ward; Stephanie H. Jones; Tatiana Pullar; Celia Celona – Education and Treatment of Children, 2025
Demand fading involves the removal and gradual reintroduction of demands and has been shown to effectively reduce escape-maintained challenging behavior. However, it is currently unclear if there are common demand fading practices when demand fading is used as an initial intervention rather than as a method for schedule thinning after another…
Descriptors: Behavior Modification, Reinforcement, Intervention, Learning Processes
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Yitong Chen; Zerong Xie; Dickson K. W. Chiu – Education and Information Technologies, 2024
This research studies the motivational factors used in educational video games through the lens of 6 C's learning motivation model with text mining of the players' reviews and comments. This research seeks to offer insight for game producers and educational institutions to investigate the effectiveness of these motivators for increasing player…
Descriptors: Educational Games, Video Games, Motivation Techniques, Technology Uses in Education
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Rolf Ploetzner – Interactive Learning Environments, 2024
Interactive videos are frequently employed in education. Although several reviews and syntheses indicate that interactively engaging with videos might benefit learning, up until now no quantitative synthesis of the effectiveness of enhanced interaction features in educational videos has been published. Enhanced interaction features explicitly aim…
Descriptors: Interactive Video, Educational Technology, Active Learning, Instructional Effectiveness
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Jewoong Moon; Daeyeoul Lee; Gi Woong Choi; Jooyoung Seo; Jaewoo Do; Taehyeong Lim – Interactive Learning Environments, 2024
We implemented a systematic literature review to investigate the trends and issues of learning analytics in seamless learning environments. We collected and analyzed a total of 27 empirical journal articles that study and discuss learning analytics design and implementation in seamless learning environments. In a recent decade, researchers have…
Descriptors: Learning Analytics, Literature Reviews, Active Learning, Inquiry
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McCarthy, Shaun; Palmer, Edward – Australasian Journal of Educational Technology, 2023
Blended learning has enjoyed wide acceptance as a teaching and learning approach in higher education, but its use and understanding commonly fail to extend across all levels of blending. At the institutional level, challenges still exist in aligning a blended learning approach with core university priorities. Often, there is a focus on the…
Descriptors: Blended Learning, Teaching Methods, Higher Education, Learning Processes
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Glenn Hardaker; Liyana Eliza Glenn – International Journal of Information and Learning Technology, 2025
Purpose: The purpose of this systematic literature review is to identify the antecedents that have enabled the adoption of artificial intelligence (AI) in Higher Education (HE) institutions at both a macro and micro level. The term adoption is in reference to the diffusion of technology that is actively chosen for use by the targeted demographic.…
Descriptors: Artificial Intelligence, Individualized Instruction, Technology Uses in Education, Higher Education
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Hilde Margrethe Hegna; Trine Ørbaek – Teaching in Higher Education, 2024
This systematic literature review provides an overview of existing empirical research on embodied teaching and learning in higher education. The review is based on a literature search in eleven databases resulting in 247 articles being included. These articles span a wide range of disciplines in higher education, with 66 articles situated in…
Descriptors: Teaching Methods, Learning Processes, Interdisciplinary Approach, Higher Education
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Chen Han; Jianghua Lei – SAGE Open, 2024
Recently, promoting inclusive education has become the central initiative for governments worldwide. The Universal Design for Learning (UDL) framework has been developed to address students' differences and meet their learning needs. Although some literature has examined the effectiveness of the UDL framework in teaching practices, little research…
Descriptors: Usability, Learning Processes, Teacher Attitudes, Student Attitudes
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Weikang Lu; Chenghua Lin – Asia-Pacific Education Researcher, 2025
Based on the UTAUT model, many studies have analyzed the factors influencing the use of artificial intelligence by teachers and students, but the conclusions are not uniform. This study chose high quality studies and encoded them to do meta analysis. After heterogeneity testing, sensitivity analysis and publication bias test, it has been found…
Descriptors: Meta Analysis, Technology Integration, Computer Software, Artificial Intelligence
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Wan Fazwani Wan Mat; Lim Hooi Lian – Journal of Education and Learning (EduLearn), 2025
This bibliometric article examines the current state of publication in the field of classroom assessment, exploring the productivity and influence of countries, institutions, and authors. A search query of on the Scopus database using the term "classroom assessment" or "classroom-based assessment" or "assessment for…
Descriptors: Alternative Assessment, Student Evaluation, Bibliometrics, Formative Evaluation
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Remington, Thomas F.; Chou, Pallas; Topa, Ben – International Journal of Training and Development, 2023
This paper reviews recent educational initiatives in science, technology, engineering and math (STEM) education in the United States, asking to what extent experiential learning methods are being incorporated into STEM education. We draw on a combination of qualitative and quantitative evidence. The quantitative evidence is from an analysis of the…
Descriptors: STEM Education, Labor Force Development, Experiential Learning, Integrated Curriculum
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Msafiri Mgambi Msambwa; Zhang Wen; Kangwa Daniel – European Journal of Education, 2025
Artificial intelligence (AI) has extensively developed, impacting different sectors of society, including higher education, and has attracted the attention of various educational stakeholders, leading to a growing number of research on its integration into education. Hence, this systematic literature review examines the impact of integrating AI…
Descriptors: Influence of Technology, Technology Uses in Education, Artificial Intelligence, Cooperative Learning
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Rapanta, Chrysi; Felton, Mark K. – Educational Psychology Review, 2022
Over the past 20 years, a broad and diverse research literature has emerged to address how students learn to argue through dialogue in educational contexts. However, the variety of approaches used to study this phenomenon makes it challenging to find coherence in what may otherwise seem to be disparate fields of study. In this integrative review,…
Descriptors: Learning Processes, Persuasive Discourse, Educational Research, Dialogs (Language)
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Siren, Anni; Tzerpos, Vassilios – IEEE Transactions on Learning Technologies, 2022
Learning paths are curated sequences of resources organized in a way that a learner has all the prerequisite knowledge needed to achieve their learning goals. In this article, we systematically map the techniques and algorithms that are needed to create such learning paths automatically. We focus on open educational resources (OER), though a…
Descriptors: Open Educational Resources, Artificial Intelligence, Instructional Materials, Educational Technology
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Strouse, Gabrielle A.; Samson, Jennifer E. – Child Development, 2021
Young children often learn less from video than face-to-face presentations. Meta-regression models were used to examine the average size of this difference (video deficit) and investigate moderators. An average deficit of about half of a standard deviation was reported across 122 independent effect sizes from 59 reports, involving children ages…
Descriptors: Video Technology, Young Children, Learning Processes, Effect Size
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