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Exploring the Answering Capability of Large Language Models in Addressing Complex Knowledge in Entrepreneurship Education
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Qi Lang; Shengjing Tian; Mo Wang; Jianan Wang – IEEE Transactions on Learning Technologies, 2024
Entrepreneurship education is critical in encouraging students' innovation, creativity, and entrepreneurial spirit. It provides essential skills and knowledge, enabling them to open their creative potential and apply innovative thinking across diverse professional fields. With the widespread application of large language models in education,…
Descriptors: Entrepreneurship, Business Administration Education, Artificial Intelligence, Creativity
Automated Multimode Teaching Behavior Analysis: A Pipeline-Based Event Segmentation and Description
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Qiuyu Zheng; Zengzhao Chen; Mengke Wang; Yawen Shi; Shaohui Chen; Zhi Liu – IEEE Transactions on Learning Technologies, 2024
The rationality and the effectiveness of classroom teaching behavior directly influence the quality of classroom instruction. Analyzing teaching behavior intelligently can provide robust data support for teacher development and teaching supervision. By observing verbal and nonverbal behaviors of teachers in the classroom, valuable data on…
Descriptors: Teacher Behavior, Teacher Student Relationship, Verbal Communication, Nonverbal Communication
Sequential Behavior Analysis of Interdisciplinary Activities in Computational Thinking and EFL Learning With Game-Based Learning
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Hsu, Ting-Chia; Chang, Ching; Liang, Yi-Sian – IEEE Transactions on Learning Technologies, 2023
The study explores the effects of an interdisciplinary learning approach on developing students' English learning (EL) and computational thinking (CT) through two different game-based learning approaches. A quasi-experiment is conducted to evaluate the effectiveness of this approach in terms of enhancing students' CT knowledge and their EL…
Descriptors: Elementary School Students, Grade 3, Interdisciplinary Approach, Computation
Sequential Behavior Analysis of Interdisciplinary Activities in Computational Thinking and EFL Language Learning with Game-Based Learning
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Ting-Chia Hsu; Ching Chang; Yi-Sian Liang – IEEE Transactions on Learning Technologies, 2024
The study explored the effects of an interdisciplinary learning approach on developing students' English learning (EL) and computational thinking (CT) through two different game-based learning approaches. A quasi-experiment was conducted to evaluate the effectiveness of this approach in terms of enhancing students' CT knowledge and their EL…
Descriptors: Game Based Learning, Elementary School Students, Comparative Analysis, English (Second Language)
Where Does My Augmented Reality Learning Experience (ARLE) Belong? A Student and Teacher Perspective to Positioning ARLEs
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Drljevic, Neven; Wong, Lung Hsiang; Boticki, Ivica – IEEE Transactions on Learning Technologies, 2017
The paper provides a high-level review of the current state of techno-pedagogical design in Augmented Reality Learning Experiences (ARLEs). The review is based on a rubric constructed from the Meaningful Learning with ICT framework and the Orchestration Load reduction framework, providing, respectively, a view of primarily student- and primarily…
Descriptors: Simulated Environment, Computer Simulation, Educational Technology, Technology Uses in Education
Knowledge Construction in Computer Science and Engineering When Learning through Making
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Charlton, Patricia; Avramides, Katerina – IEEE Transactions on Learning Technologies, 2016
This paper focuses on a design based research study about STEM (Science, Technology, Engineering and Maths) learning by making through collaboration and production. This study examines learning by making by students to explore STEM using a constructionist approach with a particular focus on computer science and engineering. The use of IoT as a…
Descriptors: Computer Science Education, Engineering Education, STEM Education, Constructivism (Learning)