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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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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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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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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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Yi Sun; Longhai Xiao – Educational Studies, 2024
Differentiated Instruction (DI) is a hot topic in educational research. Keeping abreast of its latest developments and frontiers can provide new perspectives for future study. Using CiteSpace software, 1086 publications included in the Web of Science core collection from 2000 to 2020 were analysed to create knowledge maps of DI research. The…
Descriptors: Trend Analysis, Individualized Instruction, Educational Research, Bibliometrics
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Luiz Rodrigues; Paula T. Palomino; Armando M. Toda; Ana C. T. Klock; Marcela Pessoa; Filipe D. Pereira; Elaine H. T. Oliveira; David F. Oliveira; Alexandra I. Cristea; Isabela Gasparini; Seiji Isotani – International Journal of Artificial Intelligence in Education, 2024
Personalized gamification aims to address shortcomings of the one-size-fits-all (OSFA) approach in improving students' motivations throughout the learning process. However, studies still focus on personalizing to a single user dimension, ignoring multiple individual and contextual factors that affect user motivation. Unlike prior research, we…
Descriptors: Individualized Instruction, Student Motivation, Gamification, Student Evaluation
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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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Yuan Liu; Yongquan Dong; Chan Yin; Cheng Chen; Rui Jia – Education and Information Technologies, 2024
The open online course (MOOC) platform has seen an increase in usage, and there are a growing number of courses accessible for people to select. An effective method is urgently needed to recommend personalized courses for users. Although the existing course recommendation models consider that users' interests change over time, they often model…
Descriptors: MOOCs, Online Courses, Models, Course Selection (Students)
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Baginda Anggun Nan Cenka; Harry B. Santoso; Kasiyah Junus – Interactive Learning Environments, 2024
This study presents a panoramic overview of research conducted between 2010 and 2020 on how the Personal Learning Environment (PLE) supports Self-Regulated Learning (SRL). We elaborate on why the PLE is suitable for SRL, discuss its research themes, explain how the PLE supports SRL and outline the available PLE platforms. The review method we used…
Descriptors: Educational Environment, Self Management, Learning Strategies, Educational Research
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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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Ana M. Hernández; Annette Daoud – TESOL Journal, 2025
This study examined bilingual preservice teachers' self-efficacy in the context of lesson differentiation for multilingual learners in Spanish. Thirty-six bilingual preservice teachers across three California State University programs participated in a quantitative methods study of lesson plan analysis. Findings showed that preservice teachers…
Descriptors: Preservice Teachers, Bilingualism, Self Efficacy, Individualized Instruction
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