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Javad Keyhan – International Journal of Technology in Education and Science, 2025
In recent years, remarkable advancements in artificial intelligence technology have created new opportunities for transforming educational systems and enhancing student learning. This study focuses on designing a model for an AI-based intelligent assistant to provide a personalized learning experience in higher education. A qualitative approach…
Descriptors: Individualized Instruction, Artificial Intelligence, Models, Higher Education
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Craig A. Chin – Advances in Engineering Education, 2025
Differentiated instruction (DI) is a teaching approach in which learning experiences are designed and adapted to meet students' diverse needs to facilitate student success. Advocates of this approach have implemented it in primarily K-12 learning environments with limited investigations into implementing it in college/engineering course…
Descriptors: Individualized Instruction, Readiness, Engineering Education, Learning Modules
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Khaled Ahmad Obeidat; Maher Tayseer Sharadgah; Nahida Mohsin Abdelhadi; Fajer Ibrahim Qutishat; Awad Mohd Kheer Al Fandi – Journal of Education and e-Learning Research, 2025
This study aimed to evaluate the impact of implementing a differentiated instruction strategy on developing writing skills among students with learning disabilities in Jordan. The research adopted a quasi-experimental approach, designing a training program tailored to the individual needs of the students. The program included 23 training sessions…
Descriptors: Individualized Instruction, Instructional Effectiveness, Students with Disabilities, Learning Disabilities
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Yunyun Liu; Yinghua Ye – European Journal of Psychology of Education, 2025
Self-regulated learning (SRL) is the key variable to ensuring success or failure in online learning. However, in real-world online learning, college students face SRL deficiency, such as procrastination, decreased learning motivation, poor time management, and resource management. Therefore, scientifically exploring how to effectively promote the…
Descriptors: Individualized Instruction, Cooperative Learning, Electronic Learning, Small Group Instruction
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Salih Rakap; Serife Balikci – Journal of Applied Research in Intellectual Disabilities, 2025
Background: Engagement is essential for fostering learning and development in young children with disabilities, including those with autism spectrum disorder (ASD) and intellectual disability (ID). Methods: This study used a non-concurrent multiple-baseline across participants design to examine the effects of embedded learning opportunities (ELOs)…
Descriptors: Autism Spectrum Disorders, Intellectual Disability, Educational Opportunities, Learner Engagement
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Hui Liu; Wei Guo – European Journal of Education, 2025
In contemporary music education, innovative technologies, particularly artificial intelligence (AI)-based tools, play a crucial role. The objective of this study was to assess the effectiveness of AI-based tools in enhancing students' success and creativity. The study involved 158 students from a leading music institution, who were divided into…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Performance, Creativity
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Anssi Roiha; Carina Janse; Nives Kreuh; Jerker Polso – TESOL Journal, 2025
This article explores secondary English as a foreign language (EFL) teachers' differentiation practices in the Netherlands. We used the five-dimensional (5D) model of differentiation) as an analytical framework in the study. Additionally, we sought to identify the main challenges of differentiation in Dutch EFL teaching. We collected the data…
Descriptors: Foreign Countries, Secondary School Teachers, English (Second Language), Language Teachers
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Thiti Jantakun; Kitsadaporn Jantakun; Thada Jantakoon – Journal of Education and Learning, 2025
This study presents a scientometric analysis of personalized learning research from 2020 to 2024. Using the Lens database, 4,463 scholarly articles were analyzed to identify key trends and patterns in this rapidly evolving field. The analysis revealed consistent publication growth over the 5 years, with journal articles dominating as the primary…
Descriptors: Educational Research, Individualized Instruction, Publications, Authors
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Mathias Mejeh; Livia Sarbach – Technology, Knowledge and Learning, 2025
Self-regulated learning (SRL) is an important aspect of successful knowledge acquisition. Adaptive learning technology (ALT) is a form of educational technology that can improve SRL by offering learners personalized and timely support. Despite the potential of ALT to support SRL, its integration into schools' pedagogical practices remains a…
Descriptors: Educational Technology, Technology Uses in Education, Individualized Instruction, Independent Study
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Emma Greenwood; Robert Chapman – Mind, Brain, and Education, 2025
Genetic research has a potentially increasing impact on educational practices. This study investigated attitudes towards the utility of genetic and environmental research in personalising education, with comparisons between parents/non-parents and educators/non-educators, as well as how these attitudes may relate to heritability ratings of…
Descriptors: Genetics, Scientific Research, Environmental Research, Individualized Instruction
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Yaqian Zheng; Deliang Wang; Junjie Zhang; Yanyan Li; Yaping Xu; Yaqi Zhao; Yafeng Zheng – Education and Information Technologies, 2025
Generating personalized learning pathways for e-learners is a critical issue in the field of e-learning as it plays a pivotal role in guiding learners towards the successful achievement of their learning objectives. The existing literature has proposed various methods from different perspectives to address this issue, including learner-based,…
Descriptors: Individualized Instruction, Electronic Learning, Academic Achievement, Student Educational Objectives
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Xiaoqing Xu; Wei Zhao; Yue Li; Lifang Qiao; Jinhong Tao; Fengjuan Liu – Education and Information Technologies, 2025
The success of online learning relies on college students' self-regulated learning. The common visualizations (e.g., presentation learning behaviors' frequency and duration) are widely used to enhance online self-regulated learning. But most college students still have difficulty in accurately understanding their learning patterns and…
Descriptors: Individualized Instruction, Electronic Learning, College Students, Visualization
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Xiaorui Wang; Chao Liu; Jing Guo – International Journal of Web-Based Learning and Teaching Technologies, 2025
This research works on creating a hybrid Knowledge Recommendation System (KRS) for an Entrepreneurship Course using the Knowledge Graph (KG) and Clustering Technologies (CTs). The system aims at improving students' learning experience by providing relevant learning materials and even focusing on learner preferences. These results are already part…
Descriptors: Entrepreneurship, Individualized Instruction, Learning Experience, Feedback (Response)
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Janet Lee English; Jingoo Kang; Tuula Keinonen; Sari Havu-Nuutinen; Kari Sormunen – Science Education International, 2025
Every student comes to science class with unique skills and problem-solving abilities; unfortunately, there is limited research on how to differentiate instruction so that equitable progress can be made for every learner. We used a novel pedagogical approach to differentiate for a wide range of problem-solving abilities when students were learning…
Descriptors: High School Students, Biology, Science Instruction, Individualized Instruction
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Nurassyl Kerimbayev; Karlygash Adamova; Rustam Shadiev; Zehra Altinay – Smart Learning Environments, 2025
This review was conducted in order to determine the specific role of intelligent technologies in the individual learning experience. The research work included consider articles published between 2014 and 2024, found in Web of Science, Scopus, and ERIC databases, and selected among 933 ?articles on the topic. Materials were checked for compliance…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Computer Software, Databases
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