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Direct linkXueqiao Zhang; Chao Zhang; Jianwen Sun; Jun Xiao; Yi Yang; Yawei Luo – IEEE Transactions on Learning Technologies, 2025
Large language models (LLMs) have significantly advanced smart education in the artificial general intelligence era. A promising application lies in the automatic generalization of instructional design for curriculum and learning activities, focusing on two key aspects: 1) customized generation: generating niche-targeted teaching content based on…
Descriptors: Artificial Intelligence, Instructional Design, Technology Uses in Education, Cognitive Ability
Gerti Pishtari; María Jesús Rodríguez-Triana; Luis P. Prieto; Adolfo Ruiz-Calleja; Terje Väljataga – Journal of Computer Assisted Learning, 2024
Background: In the field of Learning Design, it is common that researchers analyse manually design artefacts created by practitioners, using pedagogically-grounded approaches (e.g., Bloom's Taxonomy), both to understand and later to support practitioners' design practices. Automatizing these high-level pedagogically-grounded analyses would enable…
Descriptors: Electronic Learning, Instructional Design, Active Learning, Inquiry
Kotsopoulos, Donna; Zambrzycka, Joanna; Makosz, Samantha – Mathematical Thinking and Learning: An International Journal, 2017
The purpose of the present study was to determine whether there are visual-spatial gender differences in two-year-olds, to investigate the environmental and cognitive factors that contribute to two-year-olds' visual-spatial skills, and to explore whether these factors differ for boys and girls. Children (N = 63; M[subscript age] = 28.17 months)…
Descriptors: Gender Differences, Toddlers, Spatial Ability, Visual Acuity
Chen, Ming-Puu; Wang, Li-Chun; Zou, Di; Lin, Shu-Yuan; Xie, Haoran; Tsai, Chin-Chung – Computer Assisted Language Learning, 2022
Augmented reality (AR) deepens learning interactions by imposing digital information on top of physical settings. This study implemented an AR-enhanced theme-based contextualized learning and aimed to examine the effects of captions (non-caption, English caption and Chinese caption) and English proficiency (less proficient and proficient) on…
Descriptors: Visual Aids, Teaching Methods, Instructional Effectiveness, English (Second Language)
Download full textWiersema, Janice A.; Licklider, Barbara; Thompson, Janette R.; Hendrich, Suzanne; Haynes, Cynthia; Thompson, Katherine – Learning Communities: Research & Practice, 2015
College students' implicit theories (or mindsets) about intelligence can affect not only their motivations toward learning, but also their cognitive habits and behaviors while learning thus impacting academic achievement. In this paper we describe learning experiences we used with our learning community to 1) introduce students to the concept of…
Descriptors: College Students, Student Attitudes, Intelligence, Learning Experience
Sidera, Francesc; Serrat, Elisabet; Serrano, Jèssica; Rostan, Charles; Caño, Agnès; Amadó, Anna – International Journal of Educational Psychology, 2013
Previous research has found a link between theory of mind and cooperation. The aim of this study is to deepen into this relationship, to identify which theory of mind skills are more related to the cooperative ability on a referential communication task. A total of 50 children from first and fifth grade completed a battery of theory of mind tasks,…
Descriptors: Thinking Skills, Cooperative Learning, Theory of Mind, Elementary School Students
Sarno, Emilia – Review of International Geographical Education Online, 2012
This contribution explains the connection between spatial intelligence and spatial competences and by indicating how the first is the cognitive matrix of abilities necessary to move in space as well as to represent it. Indeed, two are principal factors involved in the spatial intelligence: orientation and representation. Both are based on a close…
Descriptors: Spatial Ability, Intelligence, Cognitive Ability, Cognitive Processes
