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Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
Cheng, Hong-Yu; Tian, Ru-Meng; Mei, Xiao-Xue – European Journal of Psychology of Education, 2023
This research was designed to examine how teachers and students from various cultures (China vs. USA) might present distinct behavioural features in learner-centred classrooms. The findings of the research would serve the purpose to answer the question regarding whether and how learner-centred instruction could better support the learning of…
Descriptors: Teacher Student Relationship, Cross Cultural Studies, Student Centered Learning, Teaching Methods
Maya Marsevani; Gabriela Micheline Slikker; Theodesia Lady Pratiwi; Hendra Nugraha – Indonesian Journal of English Language Teaching and Applied Linguistics, 2024
This study aims to investigate how EFL teachers decide on and adapt teaching strategies for young learners in ELT classrooms and explore strategies teachers use to encourage independent language learning. The research was conducted as a case study in an academic English course in Batam and involved three experienced EFL teachers. Data collection…
Descriptors: Second Language Learning, Learning Strategies, English (Second Language), Language Teachers
Mohammad H. Al-khresheh – Language Teaching Research Quarterly, 2024
The integration of artificial intelligence (AI) into language instruction has presented new opportunities, with ChatGPT emerging as a promising tool for interactive and personalized learning. This systematic review examines the effectiveness, advantages, and drawbacks of the ChatGPT in English language teaching (ELT). To achieve this objective,…
Descriptors: Futures (of Society), Artificial Intelligence, Computer Software, Technology Uses in Education
AlHashmi, Bayan; Elyas, Tariq – Arab World English Journal, 2018
This study sought to explore the effect of Differentiated Instruction, in light of learners' cognitive profiles, on female English as a Foreign Language (EFL) foundation year students' learning of grammar at King Abdul-Aziz University in 2017-2018. Following a pretest-intervention-posttest experimental design, the first part of the study aimed at…
Descriptors: Individualized Instruction, Second Language Learning, Second Language Instruction, English (Second Language)
Kacetl, Jaroslav; Klímová, Blanka – Education Sciences, 2019
At present, hardly any younger person can imagine life without mobile technologies. They use them on a daily basis, including in language learning. Such learning supported with mobile devices is called mobile learning, which seems beneficial especially thanks to the unique features of mobile applications (e.g., interactivity, ubiquity, and…
Descriptors: Foreign Countries, Technology Uses in Education, Handheld Devices, Computer Oriented Programs
Dalland, Cecilie P.; Klette, Kirsti – Education Inquiry, 2016
To stimulate individualised learning and give students some autonomy and responsibility in relation to their own schoolwork, Norwegian teachers often use work plans as an instructional tool. A work plan is a document that describes different tasks students are supposed to complete within a certain time period, normally two to three weeks. This…
Descriptors: Foreign Countries, Teaching Methods, Individualized Instruction, Lesson Plans
Lewis, S.; Whiteside, A.; Garrett Dikkers, A. – International Journal of E-Learning & Distance Education, 2014
In this three-year, mixed methods case study, the benefits and challenges of online learning for at-risk high school students were examined. A key finding was that at-risk students identify the benefits and challenges of online learning to be the same. While students appreciate the opportunity to work ahead and study at their own pace, they see it…
Descriptors: High School Students, At Risk Students, Electronic Learning, Educational Benefits
Peer reviewedBetts, George T.; Neihart, Maureen – Gifted Child Quarterly, 1986
This article reviews the history of self-directed learning for the gifted and describes the Autonomous Learner Model (Betts, 1985) which includes a strong affective component, career development, and guidelines for a process-based scope and sequence. Guidelines are provided for developing independent study programs for gifted learners. (Author/CB)
Descriptors: Curriculum Development, Elementary Secondary Education, Gifted, Independent Study

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