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Showing 1 to 15 of 66 results Save | Export
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Mengning Mu; Man Yuan – Interactive Learning Environments, 2024
The necessity for students to clarify their own cognitive structure and the amount of their knowledge mastery for self-reflection is often ignored in building the student model in the adaptive model, which makes the construction of the cognitive structure pointless. Simultaneously, knowledge forgetting causes students' knowledge level to fall…
Descriptors: Individualized Instruction, Cognitive Processes, Graphs, Cognitive Structures
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Cheng, Yu-Ping; Cheng, Shu-Chen; Huang, Yueh-Min – International Review of Research in Open and Distributed Learning, 2022
Online learning has been widely discussed in education research, and open educational resources have become an increasingly popular way to help learners acquire knowledge. However, these resources contain massive amounts of information, making it difficult for learners to identify Web articles that refer to computer science knowledge. This study…
Descriptors: Internet, Online Searching, Information Retrieval, Artificial Intelligence
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Hao, Xiaoxin; Xu, Zhiyi; Guo, Mingyue; Hu, Yuzheng; Geng, Fengji – International Journal of STEM Education, 2023
Background: Coding has become an integral part of STEM education. However, novice learners face difficulties in processing codes within embedded structures (also termed nested structures). This study aimed to investigate the cognitive mechanism underlying the processing of embedded coding structures based on hierarchical complexity theory, which…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Computer Science Education
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Qin, Chao; Liu, Yanjia; Zhang, Hemei – Journal of Computer Assisted Learning, 2023
Background: Being easy to learn and fun, block-based programming tools are widely used to teach students introductory programming. Scratch and LEGO robots are two popular block-based programming tools. However, the objects they manipulate are completely different. Scratch manipulates graphical virtual sprites, whereas LEGO robots manipulate…
Descriptors: Foreign Countries, Undergraduate Students, Learner Engagement, Robotics
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Hugo G. Lapierre; Patrick Charland; Pierre-Majorique Léger – Computer Science Education, 2024
Background and Context: Current programming learning research often compares novices and experienced programmers, leaving early learning stages and emotional and cognitive states under-explored. Objective: Our study investigates relationships between cognitive and emotional states and learning performance in early stage programming learners with…
Descriptors: Programming, Computer Science Education, Psychological Patterns, Cognitive Processes
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Zuhan Liu; Lili Wang – Education and Information Technologies, 2025
With the continuous development of embodied cognition theory and virtual reality (VR) technology, its application in teaching has been paid more and more attention by researchers. However, there are still few practical studies on the combination of VR technology and embodied learning. Starting from literature research, the paper analyzes the…
Descriptors: Cognitive Processes, Computer Simulation, Human Body, Experiential Learning
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Gavilán-Izquierdo, José María; Gallego-Sánchez, Inés; González, Antonio; Puertas, María Luz – Mathematics Teaching Research Journal, 2022
In this exploratory work, the discourse of first-year computer engineering undergraduate students of graph theory was analyzed with the aim of improving the teaching of this branch of mathematics. The theoretical framework used is the theory of commognition, specifically, we focus on commognitive conflicts because they are learning opportunities…
Descriptors: Undergraduate Students, Engineering Education, Computer Science Education, Graphs
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Burcak Aydin; Gökhan Akcapinar; Vildan Özeke; Mohammad Nehal Hasnine – International Association for Development of the Information Society, 2024
This study explores the relationship between students' affective states and their interactions with educational videos. While video-based learning has become increasingly popular, it is important to understand the emotional and behavioral dynamics that influence learning outcomes. Using a qualitative content analysis approach, data were collected…
Descriptors: Instructional Films, Cognitive Processes, Student Behavior, Psychological Patterns
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Kuo, Yu-Chen; Lin, Yu-Hsuan; Wang, Tao-Hua; Lin, Hao-Chiang Koong; Chen, Ju-I; Huang, Yueh-Min – Innovations in Education and Teaching International, 2023
Flipped classroom is one of the important teaching modes among many novel teaching methods in recent years, students watch the video in the pre-class. However, if students cannot focus on the pre-class video learning or have problems with the learning content, the learning effect will be less than expected. Therefore, this research proposes a…
Descriptors: Instructional Effectiveness, Flipped Classroom, Teaching Methods, Programming
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Chih-Hung Chen; Hsiang-Yu Chung – Journal of Educational Computing Research, 2024
Computational thinking (CT) has gained considerable attention and in-depth discussion over the last two decades. Although the significance of CT has been highlighted, it could be challenging for educators to teach CT. Fortunately, adopting robots in education has been evidenced to be of benefit to promoting students' learning motivation, CT, and…
Descriptors: Computation, Thinking Skills, Teaching Methods, Programming
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Xuanyan Zhong; Zehui Zhan – Interactive Technology and Smart Education, 2025
Purpose: The purpose of this study is to develop an intelligent tutoring system (ITS) for programming learning based on information tutoring feedback (ITF) to provide real-time guidance and feedback to self-directed learners during programming problem-solving and to improve learners' computational thinking. Design/methodology/approach: By…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Programming, Independent Study
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Pérez-Marín, Diana; Hijón-Neira, Raquel; Pizarro, Celeste – International Journal of Early Years Education, 2022
Significant interest in teaching children to code since Preschool Education has arisen in recent years. This paper focuses on the benefits of preschoolers learning to code at such short age. The research questions are whether by coding they can improve skills such as sequencing and plotting a route? Which factors influence the learning? And, to…
Descriptors: Programming, Early Childhood Education, Preschool Children, Thinking Skills
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Hawlitschek, Anja; Dietrich, André; Zug, Sebastian – Computer Science Education, 2023
Background and Context: During online learning, it is essential to provide instructional guidance to support learning. However, guidance can be given in different forms and quantities. Thus, one important challenge is to provide the right amount and type of instructional guidance. Objective: The aim of the study is to investigate types of guidance…
Descriptors: Computer Science Education, Electronic Learning, Distance Education, Teaching Methods
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Gao, Xuemin; Hew, Khe Foon – Journal of Educational Computing Research, 2023
Reintroducing computer science (CS) education in K-12 schools to promote computational thinking (CT) has attracted significant attention among scholars and educators. Among the several essential components included in CS and CT education, program debugging is an indispensable skill. However, debugging teaching has often been overlooked in K-12…
Descriptors: Flipped Classroom, Error Correction, Elementary School Students, Programming
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Dongkuk Lee; Hyuksoo Kwon – Education and Information Technologies, 2024
This study aimed to integrate the results of prior studies on the effectiveness of AI education in K-12 Korean classrooms to draw systematic and comprehensive conclusions. To achieve this goal, a review of 64 studies on AI education in Korea that were conducted from 2019 to 2023 was subjected to a meta-analysis. The total effect size of AI…
Descriptors: Meta Analysis, Artificial Intelligence, Elementary School Students, Secondary School Students
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