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Yong Zhao – Educational Research for Policy and Practice, 2025
This paper argues that personalization of learning is the only way for education to move forward. Due to rapidly changing technology and the massive diversity among students, each student must develop a unique jagged profile of capabilities based on his or her strengths and passions in order to thrive in the world of uncertainty. Thus, schools…
Descriptors: Individualized Instruction, Student Development, Resilience (Psychology), Ambiguity (Context)
Arlene Mannion; Rory Coyne; Chiara Ferrari; Melike Neseli; Ciara McGee; Sumeyye Mollaoglu; Geraldine Leader – Journal of Behavioral Education, 2025
Personalized System of Instruction (PSI), also known as the Keller method, is a specific instructional design. There has been limited research focused on how this method has been used in teaching in higher education. The aim of this systematic review is to focus on how PSI has been applied to teaching in higher education in the last 20 years.…
Descriptors: Individualized Instruction, Higher Education, Teaching Methods, Educational Research
Verena Letzel-Alt; Marcela Pozas – British Journal of Special Education, 2025
Diverse learning groups in schools are a reality. In inclusive classrooms, teachers have to deal with diverse demands and therefore must adjust their teaching to the individual needs of every learner. Even though many teachers agree that the implementation of inclusive education is necessary as well as beneficial, at the same time many teachers in…
Descriptors: Student Diversity, Inclusion, Teacher Competencies, Individualized Instruction
Josh Ecker; Greg Eckert; Erin Cummings – Journal of Advanced Academics, 2025
This theoretical work presents a conceptual framework for integrating artificial intelligence (AI) tutoring within gifted education programming. Drawing upon established gifted education frameworks, student-centered learning practices, and recent advances in AI technology, the proposed framework leverages AI capabilities across four key…
Descriptors: Gifted Education, Artificial Intelligence, Tutoring, Technology Integration
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
Nur W. Rahayu; Agung Nugroho Adi; Ridi Ferdiana; Sri Suning Kusumawardani – Turkish Online Journal of Distance Education, 2024
Students benefit from a nonlinear learning path, also known as a nonsequential learning path, because it allows them to control the pace and sequence of their learning. However, the dynamics of a nonlinear learning path, particularly within an open learning environment like MOOCs, remain underexplored. The current study aims to map out various…
Descriptors: Learning Trajectories, Open Education, MOOCs, Educational Research
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
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
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
Philip Garner – British Journal of Special Education, 2025
Over the last four to five years, I've increasingly been reflecting on the role of what were formerly referred to as offsite or pupil referral units. These are now subsumed within a more generic grouping known as alternative provision. My interest has been triggered by the recent publication of 'Alternative provision in local areas in England: a…
Descriptors: Foreign Countries, At Risk Students, Nontraditional Education, Curriculum Design
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
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
Gideon Dishon – Educational Philosophy and Theory, 2025
This paper examines visions of AI-personalized learning through an analysis of Neal Stephenson's Science Fiction Novel 'The Diamond Age'. While contemporary discourse is often characterized by deterministic visions of AI-based personalization as a panacea to the homogenization and standardization of mass schooling, the novel presents a more…
Descriptors: Artificial Intelligence, Individualized Instruction, Science Fiction, Novels
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
Gemma Scarparolo; Tom Porta – Australian Educational Researcher, 2025
Teachers in Australia have the professional responsibility to differentiate teaching to meet the needs of students across the full range of abilities. However, it is often reported that there is a need for greater definitional clarity of the term "differentiation" to support teachers' understanding and implementation. In this article, we…
Descriptors: Foreign Countries, Individualized Instruction, Content Analysis, Definitions

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