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Hajar Majjate; Youssra Bellarhmouch; Adil Jeghal; Ali Yahyaouy; Hamid Tairi; Khalid Alaoui Zidani – Education and Information Technologies, 2025
In recent times, there has been a growing interest in enhancing recommendation systems for e-learning platforms to deliver a personalised learning experience that meets each learner's distinct requirements and preferences. Nevertheless, it is crucial to recognise the ethical considerations surrounding this technology, as it heavily relies on…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Student Attitudes
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Harrison Dressler; Noah Pleshet; Daniel Tubb – Critical Education, 2025
The bureaucratic precepts engendered by modern universities produce a slew of negative effects inimical to educational justice. Drawing on historiographical evidence from the 1968 Strax Affair, a little-known protest held at the University of New Brunswick, we identify the arts of discombobulation as a novel approach to challenge the intellectual…
Descriptors: Foreign Countries, Administrative Organization, Neoliberalism, Educational Philosophy
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Richard Agbeze – International Journal of Education & the Arts, 2025
This paper aims to inspire art educators to become advocates of change by dismantling oppressive structures and discriminatory practices that negatively impact the learning outcomes of students with dis/abilities in school. I reflect on my high school teaching experience in an inclusive art classroom in Ghana, where the curriculum, the human-built…
Descriptors: Foreign Countries, Art Education, Art Teachers, Students with Disabilities
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Wenqiang Dai; Qiongyao Liu; Yuemin Gao; Wenjing Liu; Shaojuan Ouyang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The traditional curriculum design methods suffer from issues like outdated content and limited instructional approaches. To address these, this article proposes an optimized curriculum design system that integrates CAD and neural network models. This system enables intelligent curriculum content generation, introduces CAD-assisted instructional…
Descriptors: Curriculum Design, Computer Assisted Design, Artificial Intelligence, Computer Uses in Education
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Emerson, Andrew; Min, Wookhee; Azevedo, Roger; Lester, James – British Journal of Educational Technology, 2023
Game-based learning environments hold significant promise for facilitating learning experiences that are both effective and engaging. To support individualised learning and support proactive scaffolding when students are struggling, game-based learning environments should be able to accurately predict student knowledge at early points in students'…
Descriptors: Game Based Learning, Natural Language Processing, Prediction, Student Evaluation
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Davis, William J.; Esposito, Michael; Brown Urban, Jennifer; Linver, Miriam R. – Journal of Adult and Continuing Education, 2023
The purpose of this instrumental, multisite case study is to examine fidelity, adaptation, and differentiation challenges found at Wood Badge, a nationwide Boy Scouts of America training for adult volunteer leaders. Our iterative analysis of more than 900 pages of fieldnotes and 400 pages of documents revealed facilitators often explicitly taught…
Descriptors: Youth Programs, Volunteer Training, Volunteers, Adults
Tomlinson, Carol Ann – Educational Leadership, 2023
Differentiated instruction has always been about providing every learner full opportunity to grow as much as possible academically, intellectually, and socially. A key principle of differentiation is "teaching up" (Tomlinson, 2021, 2022; Tomlinson & Javius, 2012). Teaching up is of particular importance at this moment in education…
Descriptors: Individualized Instruction, Teaching Methods, Equal Education, Educational Quality
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Levy, Ben; Hershkovitz, Arnon; Tabach, Michal; Cohen, Anat; Segal, Avi; Gal, Kobi – IEEE Transactions on Learning Technologies, 2023
This report describes a randomized controlled study that compared the personalization of educational content based on neural networks to personalization by human experts. The study was conducted in a graphically rich online learning environment for elementary school mathematics, in which N = 135 fourth- and sixth-grade students learn via…
Descriptors: Online Courses, Elementary School Students, Grade 4, Grade 6
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Dutrisac, Shannah; Bearden, Anomi G.; Borgel, Jazmyn; Weddell, Rob; Jones, Mark; Oddie, Scott – Psychology in the Schools, 2023
Achieving adequate physical activity is an important health goal that many elementary school students are not meeting during the school day. The physical activity leadership (PAL) Program was designed to provide individually tailored supports to improve the quantity and quality of physical activity in schools, as well as promote improvements in…
Descriptors: Physical Education, Individualized Instruction, Elementary School Students, Self Efficacy
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Zerai, Desalegn; Eskelä-Haapanen, Sirpa; Posti-Ahokas, Hanna; Vehkakoski, Tanja – Pedagogy, Culture and Society, 2023
The principles of inclusive education largely accepted by governments of different countries require differentiated classroom instruction to meet the diverse needs of individual students. Despite this, teachers have differing experiences and understandings about implementing differentiated instruction (DI) and heterogeneous classrooms. This…
Descriptors: Foreign Countries, Individualized Instruction, Student Diversity, Mathematics Teachers
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Wang, Sufen; Du, Ming; Yu, Rong; Wang, Zhijun; Sun, Jingjing; Wang, Ling – Interactive Learning Environments, 2023
It has been controversial whether the matching of learning styles with teaching environment has improved the teaching effects. This paper constructs matching modes by choosing Sternberg's three learning styles (liberal leaning, internal scope and global level) and adopts curriculum comprehensiveness and instructing modes. The research, based on…
Descriptors: Foreign Countries, Cognitive Style, Cognitive Processes, Information Processing
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Liu, Na; Pu, Quanlin – Interactive Learning Environments, 2023
One-to-one online learning has become pervasive in distance education. However, factors affecting learners' continuance intention toward one-to-one online learning are not well known. This study proposed a model to explain learners' continuance intention toward one-to-one online learning. The model extends previous technology acceptance models and…
Descriptors: Intention, Individualized Instruction, Electronic Learning, Distance Education
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Wong, Bing Sum; Chue, Kah Loong; Ali, Rosmawati Bte; Lee, Prisca – Educational Research for Policy and Practice, 2023
Nowadays, differentiated instruction (DI) has become a widely discussed topic in many schools and educational institutes. However, whilst the notion of DI is not new, studies on the effectiveness of DI with respect to student outcomes remain relatively unclear. This may be due partly to the operationalization of DI as well as the narrow focus of…
Descriptors: Individualized Instruction, Instructional Effectiveness, Readiness, Student Interests
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Su, Jiahong; Yang, Weipeng – ECNU Review of Education, 2023
Purpose: Artificial intelligence (AI) chatbots, such as ChatGPT and GPT-4, developed by OpenAI, have the potential to revolutionize education. This study explores the potential benefits and challenges of using ChatGPT in education (or "educative AI"). Design/Approach/Methods: This paper proposes a theoretical framework called…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Educational Technology
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Malhotra, Ruchika; Massoudi, Massoud; Jindal, Rajni – Education and Information Technologies, 2023
In recent years, universities have been developing more robust competency-based classes for students in Science, Technology, Engineering, and Mathematics (STEM). Competency-based education (CBE) is based on outcomes and is student-centred, creating a better learning experience. This paper provides context for competency-based education over a…
Descriptors: STEM Education, Competency Based Education, Teaching Methods, Computer Software
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