Publication Date
| In 2026 | 0 |
| Since 2025 | 140 |
| Since 2022 (last 5 years) | 273 |
| Since 2017 (last 10 years) | 311 |
Descriptor
Source
Author
| Andrés Chiappe | 3 |
| Chen, Xieling | 3 |
| Cheng, Gary | 3 |
| Diego Fernando Becerra… | 3 |
| Emmanuel Dumbuya | 3 |
| Thada Jantakoon | 3 |
| Xie, Haoran | 3 |
| Zou, Di | 3 |
| Ampawan Yindeemak | 2 |
| Anne Corinne Huggins-Manley | 2 |
| Chenghao Wang | 2 |
| More ▼ | |
Publication Type
Education Level
Audience
| Teachers | 14 |
| Researchers | 9 |
| Administrators | 6 |
| Policymakers | 6 |
| Practitioners | 3 |
| Counselors | 1 |
| Media Staff | 1 |
| Students | 1 |
Location
| China | 24 |
| United States | 10 |
| Turkey | 7 |
| Europe | 6 |
| Taiwan | 6 |
| Germany | 5 |
| India | 5 |
| Australia | 4 |
| Indonesia | 4 |
| Morocco | 4 |
| South Africa | 4 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Big Five Inventory | 1 |
| Motivated Strategies for… | 1 |
| Program for International… | 1 |
| Tennessee Comprehensive… | 1 |
| Trends in International… | 1 |
What Works Clearinghouse Rating
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
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
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
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
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
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
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
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
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
Camilo Aurelio Velandia-Rodríguez; Andrés Chiappe; Angélica Vera Sagredo – Journal of Social Studies Education Research, 2025
This study systematically examines the evolution of personalized learning in education, focusing on the transformative potential of artificial intelligence (AI) in higher education. It aims to identify how AI addresses the barriers of traditional teacher-led and student-driven personalization methods, offering scalable and adaptive solutions to…
Descriptors: Artificial Intelligence, Individualized Instruction, Higher Education, Educational Research
Mi Kyung Cho; Seyoung Kim – International Electronic Journal of Mathematics Education, 2025
This study aimed to explore how AI-based educational platforms can support personalized mathematics learning. The three prominent AI-based educational platforms for mathematics were analyzed using a framework based on four dimensions: source, target, time, and adaptation method. Specifically, this study focused on providing illustrative examples…
Descriptors: Mathematics Education, Artificial Intelligence, Individualized Instruction, Educational Technology
Chen, Jennifer J.; Perez, ChareMone' – Childhood Education, 2023
Assessment holds the key to unlocking for the teacher a child's past (what he already knows), present (what he is learning), and future (what he still needs to learn) to inform teaching. Despite the benefits of assessment for informing teaching practice and enhancing student learning, it remains one of the most challenging and time-consuming tasks…
Descriptors: Evaluation Methods, Individualized Instruction, Artificial Intelligence, Computer Assisted Testing
Elif Ozturk – Journal of Education in Science, Environment and Health, 2025
This study examines the pedagogical, ethical, and political dimensions of artificial intelligence (AI) in early childhood STEM education from a theoretical perspective. As digital technologies become increasingly prevalent in education, AI applications offer significant opportunities in areas such as personalized learning experiences, game-based…
Descriptors: Early Childhood Education, STEM Education, Artificial Intelligence, Game Based Learning
Stephen M. Kosslyn; Elizabeth P. Callaghan; David P. Green – Learning: Research and Practice, 2025
This article addresses the transformative potential of generative Artificial Intelligence (AI) to optimize human potential by making education more efficient and effective. We describe a new teaching method called "Dynamic Personalized Learning." In this method, AI dynamically provides feedback and adjusts the level and pace of…
Descriptors: Artificial Intelligence, Feedback (Response), Individualized Instruction, Learning Objectives
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)

Peer reviewed
Direct link
