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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
Yong Zhao; Ruojun Zhong – ECNU Review of Education, 2025
Purpose: The purpose of this article is to analyze educational changes, in particular transformational changes, and suggest a new approach to shift the paradigm in education using an ecological conceptual framework. Design/Approach/Methods: An ecological analysis of two key factors in education: prescribed curriculum and student autonomy.…
Descriptors: Educational Change, Holistic Approach, Personal Autonomy, Curriculum
Mengning Mu; Man Yuan – Interactive Learning Environments, 2024
The necessity for students to clarify their own cognitive structure and the amount of their knowledge mastery for self-reflection is often ignored in building the student model in the adaptive model, which makes the construction of the cognitive structure pointless. Simultaneously, knowledge forgetting causes students' knowledge level to fall…
Descriptors: Individualized Instruction, Cognitive Processes, Graphs, Cognitive Structures
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
Mengjiao Yin; Hengshan Cao; Zuhong Yu; Xianyu Pan – International Journal of Web-Based Learning and Teaching Technologies, 2024
This study presents the Academic Investment Model (AIM) as a novel approach to predicting student academic performance by incorporating learning styles as a predictive feature. Utilizing data from 138 Marketing students across China, the research employs a combination of machine learning clustering methods and manual feature engineering through a…
Descriptors: Predictor Variables, Artificial Intelligence, Performance, Cluster Grouping
Jun Ai; Meiju Zhao; Sarah Behrens; Eva M. Horn – Journal of Behavioral Education, 2024
This study examined the effects of a professional development (PD) intervention on inservice teachers' use of embedded instruction practices within inclusive preschool classrooms. The results of a multiple baseline across participants design suggested the PD intervention was effective in increasing teachers' implementation fidelity of embedded…
Descriptors: Faculty Development, Preschool Teachers, Inclusion, Teaching Methods
Yiqian Liu; Weerayut Seekhunlio – International Journal of Education and Literacy Studies, 2025
This study examines Su Haizhen's approach to learning and teaching literacy transmission using the Duxianqin single-string zither, employing qualitative methods through interviews and observations. The findings are as follows: Su Haizhen's steadfast dedication to safeguarding and proficiently disseminating the esteemed Duxianqin heritage among the…
Descriptors: Musical Instruments, Cultural Maintenance, Folk Culture, Ethnic Groups
Puying Wang – European Journal of Education, 2025
Information technology contributes to the transformation of the learning process because it changes the traditional system of teaching, based on outdated methodologies. The paper examined the current technologies used in music education in the context of learning process improvements in China. A sociological survey was conducted using the Stapel…
Descriptors: Music Education, Technology Uses in Education, Artificial Intelligence, Individualized Instruction
Huan Kang; Hong Chen – Education and Information Technologies, 2025
This study investigates the effects of online instructors' use of initiation and maintenance rapport-building strategies (RBS) on Chinese EFL learners' CALL motivation and cognitive load management. Mixed methods research was used to concurrently triangulate different strands of data on the effects of RBS on 86 randomly sampled EFL learners. The…
Descriptors: English (Second Language), Second Language Learning, Teacher Student Relationship, Cognitive Processes
Bilingual Education in a Globalized Age: An Ecological Perspective on Two Chosonjuk Schools in China
Guihua Zhao; Wendy Li; Chih-Hao Chang – International Journal of Bilingual Education and Bilingualism, 2024
Drawing on ecological perspectives, this study investigates changes in the bilingual education of ethnic Koreans in China in the context of globalization. Focusing on two Chosonjuk (ethnic Korean in China, ?????, ???) schools in Northeast China that experienced challenges due to declining enrollment as a result of the increasing popularity of…
Descriptors: Bilingual Education, Educational Change, Minority Group Students, Individualized Instruction
Gökçe Ok; Deniz Kaya; Tamer Kutluca – Discourse and Communication for Sustainable Education, 2025
The aim of this study is to conduct a comprehensive analysis of scientific studies on the sustainability of artificial intelligence (AI) in education in the 21st century, based on the Web of Science (WoS) database, using systematic and bibliometric methods. In this context, a total of 237 articles on the sustainability of AI in education, covering…
Descriptors: Artificial Intelligence, Technology Uses in Education, Sustainability, Futures (of Society)
Huaiya Liu; Yuyue Zhang; Jiyou Jia – IEEE Transactions on Learning Technologies, 2024
Intelligent tutoring systems (ITSs) aim to deliver personalized learning support to each learner, aligning with the educational aspiration of many countries, including China. ITSs' personalized support is mainly achieved by providing individual prompts to learners when they encounter difficulties in problem-solving. The guiding principles and…
Descriptors: Intelligent Tutoring Systems, Mathematics Achievement, Individualized Instruction, Foreign Countries
Meijie Bi; Verena Letzel-Alt; Marcela Pozas; Chang Zhu; Katrien Struyven – Cogent Education, 2024
Due to the increasing heterogeneity of students within learning groups at school, teachers are urged to appropriately address students' learning needs by means of differentiated instruction. Given that the successful and effective implementation of differentiated instruction relies mostly on teachers, research has extensively explored…
Descriptors: Foreign Countries, Teacher Attitudes, Individualized Instruction, Elementary School Teachers
Zhou, Yingge; Ye, Xindong; Liu, Yujiao – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this study is to build a personalized learning intervention system, which can support students' personalized learning, improve teachers' teaching efficiency and students' learning effect. Design/methodology/approach: The research proposes a personalized learning intervention method based on a collaborative filtering…
Descriptors: Individualized Instruction, Intervention, Academic Achievement, Junior High School Students
Integration of Modern Technologies in Higher Education on the Example of Artificial Intelligence Use
Zhou, Cong – Education and Information Technologies, 2023
Modern technology integration in higher education on the example of artificial intelligence use as a personalized learning platform can facilitate learning of various subjects. The research questions are explained by the desire to obtain new experimental data on the modern technology integration in higher education using artificial intelligence as…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Higher Education