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Xingle Ji; Lu Sun; Xueyong Xu; Xiaobing Lei – International Journal of Information and Communication Technology Education, 2024
This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using…
Descriptors: Information Retrieval, Data Analysis, Educational Research, Individualized Instruction
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Linlin Hu – Asia Pacific Education Review, 2024
Differentiated instruction (DI) is a beneficial approach to addressing students' diverse learning needs, abilities, and interests to ensure that each student has the opportunity to make academic progress. To answer the question of how teachers utilize DI in K-12 classrooms, this systematic review was based on 61 empirical studies on DI published…
Descriptors: Individualized Instruction, Elementary Secondary Education, Educational Trends, Elementary School Mathematics
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Xiaoxia A. Newton; John W. McKenna; Frederick J. Brigham – Journal of Research in Special Educational Needs, 2025
The relationships among teachers' knowledge, use, and perceived effectiveness of inclusive instructional practices for students with emotional disturbance (ED) has implications for the provision of a free appropriate public education (FAPE). We unpacked these nuanced relationships through mediation analysis. Data for our study came from a broader…
Descriptors: Mediation Theory, Models, Inclusion, Educational Practices
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Elizabeth B. Harkey; Angela T. Barlow; Victoria Groves-Scott – Mathematics Teacher: Learning and Teaching PK-12, 2023
Many teachers reported improved skills in using technology as a direct result of teaching virtually during the pandemic (Bushweller, 2020). The authors wondered which uses of technology would continue as teachers transitioned back into face-to-face classrooms. Recognizing that mere incorporation of technology into instruction does not guarantee…
Descriptors: Educational Technology, Mathematics Instruction, Technology Uses in Education, Models
Robin Shaw Brandenburg – ProQuest LLC, 2023
Improving instructor and student satisfaction with training in a global semiconductor company was the focus of this dissertation in practice. This study followed the Performance Improvement/Human Performance Technology (HPT) model as the overarching framework (Van Tiem et al., 2012). Fifty students and four instructors participated in this…
Descriptors: Student Satisfaction, Training, Global Approach, Models
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Genevieve Thraves – Australasian Journal of Gifted Education, 2024
Gifted education has been recognised as a fractured field that can be categorised using varying paradigmatic approaches. Over the past thirty years, Gagne's Differentiated Model of Giftedness and Talents (DMGT) has maintained a strong influence in Australia, which means that the paradigmatic assumptions that are present in this model have shaped…
Descriptors: Foreign Countries, Gifted Education, Educational Policy, Web Sites
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Tracy Bobko; Mikiko Corsette; Minjuan Wang; Erin Springer – IEEE Transactions on Learning Technologies, 2024
This article discusses the transformative impact of technology on knowledge acquisition and sharing, focusing on the emergence of the metaverse as a virtual community with vast potential for virtual learning. Learning in the metaverse is found to enhance engagement, motivation, and retention, while fostering 21st-century skills. It also offers…
Descriptors: Educational Innovation, Computer Simulation, Technology Uses in Education, Models
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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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Nahum, Jacob – Journal of Education and Learning, 2022
The social, economic and technological changes of the 21st century have increased the awareness of teachers and educational researchers of the importance of a relevant and interesting learning environment, collaborative learning, personalization and values in education. However, most of the currently available programs focus on only one of these…
Descriptors: 21st Century Skills, Cooperative Learning, Educational Environment, Models
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von Leipzig, Tanja; Lutters, Eric; Hummel, Vera; Schutte, Cornè – International Journal of Game-Based Learning, 2022
Dynamic personalization of learning trajectories that integrate different perspectives and variable scenarios is a viable way to improve the effectiveness and efficiency of training and education. Serious games offer a designated platform for this, by aggregating learner interactions, and using these to dynamically configure, adjust and tailor the…
Descriptors: Educational Games, Game Based Learning, Individualized Instruction, Instructional Design
Audrain, Richard Lennon – ProQuest LLC, 2023
In this three-article dissertation, I explore three aspects of the Next Education Workforce initiative (NEW), an education reform effort hailing from Arizona State University's Mary Lou Fulton Teachers College. Through the initiative, NEW seeks to change schools and schooling, breaking down the physical and metaphorical walls of the predominant…
Descriptors: Educational Change, Teaching Methods, Individualized Instruction, Team Teaching
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Xie jingyi; Cavin Pamintuan – SAGE Open, 2024
This study investigates methods and effectiveness of implementing Differentiated Instruction (DI) in intelligent education based on learners' learning needs. The paper employs a mixed-method approach to collect and analyze data from various learner groups. Guided by the assessment results of the KANO model, the research prioritizes attributes for…
Descriptors: Individualized Instruction, Artificial Intelligence, Technology Uses in Education, Student Needs
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Alamri, Hamdan A.; Watson, Sunnie; Watson, William – TechTrends: Linking Research and Practice to Improve Learning, 2021
Personalized learning has the potential to transfer the focus of higher education from teacher-centered to learner-centered environments. The purpose of this integrative literature review was to provide an overview of personalized learning theory, learning technology that supports the personalization of higher education, current practices, as well…
Descriptors: Individualized Instruction, Educational Technology, Technology Uses in Education, Blended Learning
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Troussas, Christos; Chrysafiadi, Konstantina; Virvou, Maria – Education and Information Technologies, 2021
Personalized computer-based tutoring demands learning systems and applications that identify and keep personal characteristics and features for each individual learner. This is achieved by the technology of student modeling. One prevalent technique of student modeling is stereotypes. Furthermore, individuals differ in how they learn. So, the way…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style, Stereotypes
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Hernandez Cardenas, Lizette Susana; Castano, Leticia; Cruz Guzman, Cristina; Nigenda Alvarez, Juan Pablo – Australasian Journal of Educational Technology, 2022
This study's innovative objective was to develop a personalised learning model to equate students' entry level knowledge as they entered the School of Medicine and Health Sciences at Tecnologico de Monterrey in Mexico in 2019. This was necessitated by a difference in the depth and approach to preparatory content. The methodology focused on…
Descriptors: Foreign Countries, Knowledge Level, Medical Schools, Health Sciences
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