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Emmanuel Dumbuya – Online Submission, 2025
Artificial Intelligence (AI) is revolutionizing industries, yet its integration into education remains underutilized. This paper advocates for embedding AI tools in curriculum design to personalize learning experiences, address diverse student needs, and equip learners with future-ready skills. By leveraging AI's capabilities, educators can create…
Descriptors: Artificial Intelligence, Curriculum Design, Individualized Instruction, Technology Uses in Education
Philip Uys; Mike Douse – Educational Planning, 2025
Education is undergoing a fundamental transformation, necessitated and made possible by contemporary technology, notably Artificial Intelligence. Central to this transformation is the realisation that the post primary learners will lead in terms of what each will study, how, where, when and to what purpose. This will entail a refocussed and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Role, Curriculum
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
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
Rani Van Schoors; Jan Elen; Annelies Raes; Stefanie Vanbecelaere; Kamakshi Rajagopal; Fien Depaepe – Technology, Knowledge and Learning, 2025
The ever-evolving landscape of education is constantly intersecting with rapid advances in technology. Digital personalized learning (DPL)--learning which occurs in a digital learning environment that adapts to the individual learner--is believed to benefit both students and teachers. While DPL is believed to benefit students and teachers, there…
Descriptors: Teacher Attitudes, Electronic Learning, Individualized Instruction, Theory Practice Relationship
Large Language Models and Intelligent Tutoring Systems: Conflicting Paradigms and Possible Solutions

Punya Mishra; Danielle S. McNamara; Gregory Goodwin; Diego Zapata-Rivera – Grantee Submission, 2025
The advent of Large Language Models (LLMs) has fundamentally disrupted our thinking about educational technology. Their ability to engage in natural dialogue, provide contextually relevant responses, and adapt to learner needs has led many to envision them as powerful tools for personalized learning. This emergence raises important questions about…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Technology Uses in Education, Educational Technology
Klarisa I. Vorobyeva; Svetlana Belous; Natalia V. Savchenko; Lyudmila M. Smirnova; Svetlana A. Nikitina; Sergei P. Zhdanov – Contemporary Educational Technology, 2025
In this analysis, we review artificial intelligence (AI)-supported personalized learning (PL) systems, with an emphasis on pedagogical approaches and implementation challenges. We searched the Web of Science and Scopus databases. After the preliminary review, we examined 30 publications in detail. ChatGPT and machine learning technologies are…
Descriptors: Individualized Instruction, Artificial Intelligence, Intelligent Tutoring Systems, Ethics
Adi Perry-Kates; Anat Cohen – Journal of Computer Assisted Learning, 2025
Background: In light of the growing need to understand interactive learning effectivity and especially post-COVID 19 pandemic constraints, the key question is how to develop interactive videos in order to get the most effective results. Objectives: This research aims to explore the pedagogical benefits of interactive video with branching…
Descriptors: Video Technology, Interaction, Instructional Effectiveness, Teaching Methods
Glenn Hardaker; Liyana Eliza Glenn – International Journal of Information and Learning Technology, 2025
Purpose: The purpose of this systematic literature review is to identify the antecedents that have enabled the adoption of artificial intelligence (AI) in Higher Education (HE) institutions at both a macro and micro level. The term adoption is in reference to the diffusion of technology that is actively chosen for use by the targeted demographic.…
Descriptors: Artificial Intelligence, Individualized Instruction, Technology Uses in Education, Higher Education
Jill E. Stefaniak; Stephanie L. Moore – Online Learning, 2024
Generative AI presents significant opportunities for instructional designers to create content and personalize online learning environments. Alongside its benefits, generative AI also poses ethical considerations and potential risks, such as perpetuating biases or disrupting the learning process. Navigating these complexities requires an approach…
Descriptors: Artificial Intelligence, Inclusion, Electronic Learning, Technology Uses in Education
Bellarhmouch, Youssra; Jeghal, Adil; Tairi, Hamid; Benjelloun, Nadia – Education and Information Technologies, 2023
Nowadays, the need for e-learning is amplified, especially after the COVID-19 pandemic. E-learning platforms present a solution for the continuity of the learning process. Learners are using different platforms and tools for learning. For this, it is necessary to model the learner for the personalization of the learning environment according to…
Descriptors: Electronic Learning, Educational Environment, Models, Individualized Instruction
Jewoong Moon; Unggi Lee; Junbo Koh; Yeil Jeong; Yunseo Lee; Gyuri Byun; Jieun Lim – Technology, Knowledge and Learning, 2025
This paper reviews the role of Generative Artificial Intelligence (GenAI) in transforming the landscape of educational game design. The recent rise and development of GenAI have expanded its applications in creating dynamic and interactive game systems. This review explores the potential of GenAI to craft personalized educational game designs that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Games, Instructional Design
Tong Zhou; Xingliang Wu; Yudong Wang; Yilei Wang; Shunan Zhang – Education and Information Technologies, 2024
The application of artificial intelligence in physical education (AIPE) has provided new ways to improve learning and teaching activities in physical classes. However, literature reviews that provide a systematic review and analysis of AIPE are limited. To address this gap, this study provided an overview of AIPE-related empirical research.…
Descriptors: Artificial Intelligence, Physical Education, Technology Uses in Education, Athletics
Mehmet Dönmez – International Journal of Assessment Tools in Education, 2024
This bibliometric analysis offers a comprehensive examination of AIbased feedback tools in education, utilizing data retrieved from the Web of Science (WoS) database. Encompassing a total of 239 articles from an expansive timeframe, spanning from inception to February 2024, this study provides a thorough overview of the evolution and current state…
Descriptors: Artificial Intelligence, Feedback (Response), Technology Uses in Education, Individualized Instruction
Shawn N. Girtler; Emily K. Unholz-Bowden; Alefyah Shipchandler; Rebecca L. Kolb; Jennifer J. McComas – Journal of Developmental and Physical Disabilities, 2024
Although the last decade has welcomed evidence that individuals with Rett syndrome (RTT) can communicate using alternative and augmentative communication (AAC), less is known about effective procedures for teaching various component skills required for expressive communication of individuals with complex communication needs. The purpose of the…
Descriptors: Augmentative and Alternative Communication, Genetic Disorders, Teaching Methods, Individualized Instruction