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Showing 1 to 15 of 101 results Save | Export
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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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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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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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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
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Jyoti Prakash Meher; Rajib Mall – IEEE Transactions on Education, 2025
Contribution: This article suggests a novel method for diagnosing a learner's cognitive proficiency using deep neural networks (DNNs) based on her answers to a series of questions. The outcome of the forecast can be used for adaptive assistance. Background: Often a learner spends considerable amounts of time in attempting questions on the concepts…
Descriptors: Cognitive Ability, Assistive Technology, Adaptive Testing, Computer Assisted Testing
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Youngjin Lee – Education and Information Technologies, 2025
This study investigates the development and evaluation of a Retrieval-Augmented Generation (RAG)-based statistics tutor designed to assist students with quantitative analysis methods. The RAG approach was employed to address the well-documented issue of hallucination in Large Language Models (LLMs). A computer tutor was developed that utilizes…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Teachers, Students
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Peidi Gu; Zui Cheng; Cheng Miaoting; John Poggio; Yan Dong – Journal of Computer Assisted Learning, 2025
Background: Today, the importance of STEM (Science, Technology, Engineering and Mathematics) education and training is widely recognised and accepted. Computer programming courses have become essential in higher education to nurture students' programming, analysis and computational skills, which are vital for success in all STEM fields and areas.…
Descriptors: Active Learning, Student Projects, Individualized Instruction, Student Motivation
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Hao Zhang; Shihan Chen; Sen Zheng – Education and Information Technologies, 2025
Based on the instructional interaction principles outlined by Chen and Wang (2016) in third-generation distance learning, this study employs a recursive logical perspective on the evolution of the theory of interaction in distance education. It constructs a structural equation model to measure the mediating utility path of the learner's proactive…
Descriptors: Personality Traits, Assertiveness, Interaction, Distance Education
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Seongyune Choi; Hyeoncheol Kim – Education and Information Technologies, 2025
Attention to programming education from K-12 to higher education has been growing with the aim of fostering students' programming ability. This ability involves employing appropriate algorithms and computer codes to solve problems and can be enhanced through practical learning. However, in a formal educational setting, it is challenging to provide…
Descriptors: Foreign Countries, High School Freshmen, Programming, Artificial Intelligence
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Feifei Wang; Alan C. K. Cheung; Ching Sing Chai; Jin Liu – Education and Information Technologies, 2025
As learners are able to perceive interactivity when interacting with instructors or peer learners in traditional learning environments, learners are similarly able to perceive interactivity when interacting with artificial intelligence (AI) in AI-supported learning environments. Advancements in AI, such as generative AI including ChatGPT and…
Descriptors: Test Construction, Test Validity, Interaction, Artificial Intelligence
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Olivia Sfetcopoulos – Australian and International Journal of Rural Education, 2025
This article examines how incorporating the Universal Design for Learning into writing instruction could improve the writing achievement of year four students in regional Victoria, Australia. The Universal Design for Learning is an instructional approach that aims to provide students with meaningful learning experiences through multiple means of…
Descriptors: Access to Education, Foreign Countries, Writing Instruction, Writing Achievement
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