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Robert J. Sternberg – Journal of Creative Behavior, 2025
This article presents the PTSI (Person x Task x Situation Interaction) theory of creativity. The theory deals with the creative person, the deployment of creativity in tasks, the ecological context in which this deployment takes place, and the types of creative products that result. The theory draws upon a wide range of previous work. The article…
Descriptors: Creativity, Theories, Models, Personality
Sidney Newton; Rui Wang – Educational Studies, 2024
Notwithstanding the neuromyth controversy, the malleability of learning style preferences impacts the validity of the measurement instrument and the effectiveness of the associated model of learning. This study investigates the test-retest reliability and underlying dynamics of Kolb's Learning Style Inventory (KLSI). It surveys 245 college-level…
Descriptors: Cognitive Style, Preferences, Reliability, Validity
Robert J. Sternberg – Gifted Education International, 2024
Individuals are typically identified as gifted largely on the basis of competence in limited contexts, but their performance in the real world, both as children and adults, often lags far behind their competence. Thus, the identification of the individuals as "gifted," however useful in theory, is much less useful in practice. This…
Descriptors: Models, Gifted, Competence, Performance
Boli Li; Jenene Burke; Margaret Plunkett – Asia Pacific Journal of Education, 2025
Despite the COVID-19 pandemic, Chinese international students (CIS) still comprise the largest international cohort in Australian universities. However, limited research has examined perceptions of CIS' learning approaches in Australian universities from the broader context of the students themselves and their Australian lecturers. This study…
Descriptors: Foreign Countries, Foreign Students, Universities, College Students
Hoa-Huy Nguyen; Kien Do Trung; Loc Nguyen Duc; Long Dang Hoang; Phong Tran Ba; Viet Anh Nguyen – Education and Information Technologies, 2024
This article presents the results of an experiment in personalizing course content and learning activity model tailored for online courses based on students' learning styles. The main research objectives are to design and pilot a model to determine students' learning styles to create personalized online courses. The study also addressed an…
Descriptors: Models, Online Courses, Cognitive Style, Classification
Mahmoud M. S. Abdallah; Heba Hassan Hemdan; Laila Kamel Eid Ibrahim – Online Submission, 2024
The current research paper investigates the impact of McCarthy's 4MAT model on developing writing skills among upper-grade primary pupils. Sixty-four pupils in six primary-stage grades were chosen as the study participants and were divided randomly into two matched groups (a control group and an experimental one). The researcher adopted the…
Descriptors: Elementary School Students, Models, Writing Instruction, Teaching Methods
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
Mohammed Jebbari; Bouchaib Cherradi; Soufiane Hamida; Abdelhadi Raihani – Education and Information Technologies, 2024
With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…
Descriptors: MOOCs, Algorithms, Computer Simulation, COVID-19
Qi Zhang – International Journal of Educational Technology in Higher Education, 2024
This study investigates how engagement (E), foreign language enjoyment (FLE), and ambiguity tolerance (AT) exert mediation/moderation in metaverse-based foreign language learning (FLL). Featuring augment/simulation-based experiences and self-fulfillment/external-control-oriented mechanics, metaverse provides virtualized interactive circumstances…
Descriptors: Second Language Learning, Second Language Instruction, Cognitive Style, Affective Behavior
Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
Reima Al-Jarf – Online Submission, 2024
Multimodal learning refers to teaching strategies that involve multiple sensory systems simultaneously. Teachers can create materials for students with different learning styles (auditory, visual, kinesthetic reading, and writing). Multimodal learning keeps students engaged, encourages them to apply what they learn in real-life situations,…
Descriptors: Grammar, Multimedia Instruction, Problem Solving, Student Projects