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Maximum M. A. Sirabian; Xue Xing; P. G. Schrader; Randall Boone; Neffisatu Dambo; Heather Dahl – Educational Research: Theory and Practice, 2024
This qualitative research study examined the implementation of high-quality Individualized Learning Plans (ILPs) in Nevada high schools. Data from participating schools were analyzed using content analysis to assess the ILP documents and implementation processes. Findings revealed a significant lack of quality ILP features, with schools struggling…
Descriptors: Individualized Instruction, Individualized Education Programs, Program Implementation, School Districts
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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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Weijun Liang; Jessica To; Yuen Yi Lo – Asia Pacific Education Review, 2025
This article reports a longitudinal case study examining how teachers were empowered to develop their professional capacity to cater for learner diversity through implementing differentiated instruction. Data were collected from multiple sources including lesson co-planning meetings, teacher interviews and lesson observations in a primary school…
Descriptors: Teacher Empowerment, Individualized Instruction, Faculty Development, Elementary School Teachers
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Sohum M. Bhatt; Wim Van Den Noortgate; Katrien Verbert – IEEE Transactions on Learning Technologies, 2024
Recommender systems are increasingly being used in university or online education. However, recommender systems still have not found major usage in K12 education. This may be because of the unique challenges that recommender systems face when used by a young and diverse population. However, recommender systems for K12 education could provide many…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Educational Technology, Learning
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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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Kimberly B. Marshall; Mary Jane Weiss; Thomas S. Critchfield; Justin B. Leaf – Journal of Behavioral Education, 2025
Applied behavior analysis professionals have valuable expertise to share with parents of individuals with disabilities. Unfortunately, professionals also tend to talk like professionals, which means they use technical terminology that may be detrimental to productive relationships with stakeholders. Several studies have documented that laypersons…
Descriptors: Jargon, Parent Education, Teaching Methods, Behavior Modification
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Zeliha Demirci-Ünal; Gökhan Öztürk – Early Childhood Education Journal, 2025
Differentiated instruction (DI) is a teaching philosophy which addresses the learning needs of individual children. This multiple case study aimed to investigate the extent preschool teachers differentiated content, process, assessment, and learning environment within multicultural classrooms. Four early childhood teachers' experiences were…
Descriptors: Preschool Teachers, Individualized Instruction, Preschool Education, Teaching Experience
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Zhenghua Hu – Discover Education, 2025
Amid the swift advancement of artificial intelligence technology, personalized teaching models have emerged as a critical area of research within the education sector. This study, following an examination of the present landscape and developments in personalized teaching models and innovations, underscores the particular applications of…
Descriptors: Evidence Based Practice, Instructional Innovation, Individualized Instruction, Instructional Effectiveness
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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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Johar Amir; Tamsiruddin Tamsiruddin; Muhammad Saleh; Ambo Dalle; Irmawati Irmawati – Educational Process: International Journal, 2025
Background/purpose: Differentiated teaching materials are a source of quality and meaningful learning for students because they are prepared based on students' needs. Materials/methods: This research includes development research using the ADDIE model which aims to describe the profile of digital-based differentiated teaching materials (Barista)…
Descriptors: Individualized Instruction, Instructional Materials, Junior High School Students, Writing Instruction
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Hani Y. Ayyoub; Omar S. Al-Kadi – IEEE Transactions on Learning Technologies, 2024
Education is a dynamic field that must be adaptable to sudden changes and disruptions caused by events like pandemics, war, and natural disasters related to climate change. When these events occur, traditional classrooms with traditional or blended delivery can shift to fully online learning, which requires an efficient learning environment that…
Descriptors: Cognitive Style, Individualized Instruction, Learning Management Systems, Artificial Intelligence
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Ling Zhang; Richard Allen Carter; Lisa Bloom; Daron W. Kennett; Nicholas J. Hoekstra; Samantha R. Goldman; James Rujimora – Journal of Teacher Education, 2024
Traction is growing for personalized learning (PL) as an educational innovation that aims to provide learning experiences to meet diverse learning needs. However, little research has investigated how PL is positioned in professional standards that provide guidance on teacher education across content-specific disciplines and for diverse learner…
Descriptors: Preservice Teachers, Individualized Instruction, Preservice Teacher Education, Teaching Methods
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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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