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Lili Yang; Yanzhen Zhu; Xiangni Wu; Rui Yang – Comparative Education Review, 2025
Worldwide, humanities and social sciences (HSS) scholars produce and disseminate knowledge in an unequal global knowledge space, which can be caused by various structural, epistemological, and individual-level factors. Although global epistemic injustice receives much attention, the factors contributing to it, including the extraverted mindsets…
Descriptors: Foreign Countries, Social Sciences, Extraversion Introversion, Non Western Civilization
Guoqian Luo; Hengnian Gu; Xiaoxiao Dong; Dongdai Zhou – Education and Information Technologies, 2025
In the realm of e-learning, supporting personalized learning effectively necessitates recommending sequences of learning items that maximize learning efficiency while minimizing cognitive load, all tailored to the learner's goals. These recommendations must account for the prerequisite relationships among learning items and the learner's…
Descriptors: Electronic Learning, Individualized Instruction, Sequential Learning, Learning Processes
Stephen Ferrigno; Samuel J. Cheyette; Susan Carey – Cognitive Science, 2025
Complex sequences are ubiquitous in human mental life, structuring representations within many different cognitive domains--natural language, music, mathematics, and logic, to name a few. However, the representational and computational machinery used to learn abstract grammars and process complex sequences is unknown. Here, we used an artificial…
Descriptors: Sequential Learning, Cognitive Processes, Knowledge Representation, Training
Karen Murcia; Geoffrey Lowe; Myrto Mavilidi; Emma Cross; Michelle De Kok; William Peng – Australian Educational Researcher, 2025
Theories linked to embodied cognition emphasise the importance of kinaesthetic learning in shaping higher-order cognitive processing. By spreading the cognitive load to other senses while still contributing to central schema, embodied learning can build long-term memory and engagement, especially in young children, leading to improved performance.…
Descriptors: Young Children, Computation, Thinking Skills, Science Education
Bin Meng; Fan Yang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This paper proposes a computer-aided teaching model using knowledge graph construction and learning path recommendation. It first creates a multimodal knowledge graph to illustrate complex relationships among knowledge. Learning elements and sequences are then used to form time sequences stored as directed graphs, supporting flexible path…
Descriptors: Students, Teachers, Computer Assisted Instruction, Knowledge Representation
Yiqiu Zhou; Jina Kang; Yeyu Wang; Muhammad Ashiq – Educational Technology Research and Development, 2025
The complex processes of collaborative knowledge construction require a multimodal approach to capture the interplay between learners, tools, and the environment. While existing studies have recognized the importance of considering multiple modalities, there remains a need for a comprehensive framework that explicitly models the dynamics of…
Descriptors: Cooperative Learning, Computer Simulation, Astronomy, Network Analysis
Fatma Yaman; Brian Hand – Journal of Research in Science Teaching, 2025
This study tracked pre-service science teachers (PSTs) over 3 years as they completed required science courses (e.g., chemistry, biology and science and technology laboratory courses). The PSTs' use of argument, representations, and reasoning were examined (1) to determine the coherence within and between these and (2) examine the relationship…
Descriptors: Preservice Teachers, Science Teachers, Science Education, Preservice Teacher Education

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