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Showing 1 to 15 of 81 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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Mugruza-Vassallo, Carlos Andrés – Education and Information Technologies, 2023
In the present research the typical triangle on formative research was extended to a double triangle for an overall career programme (here expander/ compressor) and funnel proposal was explored in a single course (as a "fractal" method). Array processing and ElectroEncephaloGram (EEG) techniques have been incorporated into a Digital…
Descriptors: Research Methodology, Undergraduate Students, Computer Science Education, Homework
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Wen-shuang Fu; Jia-hua Zhang; Di Zhang; Tian-tian Li; Min Lan; Na-na Liu – Journal of Educational Computing Research, 2025
Cognitive ability is closely associated with the acquisition of programming skills, and enhancing learners' cognitive ability is a crucial factor in improving the efficacy of programming education. Adaptive feedback strategies can provide learners with personalized support based on their learning context, which helps to stimulate their interest…
Descriptors: Feedback (Response), Cognitive Ability, Programming, Computer Science Education
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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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Liu, Yi-Chun; Wang, Wei-Tsong; Huang, Wen-Hsin – Education and Information Technologies, 2023
Prior research has demonstrated the advantages of applying mobile game-based learning (MGBL) applications to supporting students' learning. However, studies that specifically examine the effects of game quality and different types of cognitive loads on learning effectiveness in MGBL contexts are scarce. Therefore, this study aims to address this…
Descriptors: Video Games, Cognitive Processes, Difficulty Level, Academic Achievement
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Gustavo Gutierrez Carreon – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: The need for this paper arises from the lack of comprehensive studies comparing the impact of cloud-based versus local database systems on student learning outcomes. Specifically, there is a need to understand how these different approaches affect usability and cognitive load in educational settings, which are critical factors for…
Descriptors: Cognitive Processes, Difficulty Level, Information Storage, Information Technology
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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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Minji Jeon; Kyungbin Kwon – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study investigated the computational thinking (CT) practices of eight pre-service teachers through their Scratch and Python programs. Conducted within an undergraduate-level computer science education course, students learned CT concepts via parallel instruction in block-based programming (Scratch) and text-based programming (Python). The…
Descriptors: Preservice Teacher Education, Preservice Teachers, Computation, Cognitive Processes
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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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Lauren Hays; Jenna Kammer – Advocate, 2021
Previous research has indicated that many K-12 computer science teachers do not have a background in computer science education. This means, computer science teachers are not necessarily using established habits of mind they learned from their own studies. The purpose of this study is to understand more about the habits of mind needed by computer…
Descriptors: Teaching Methods, Computer Science Education, Thinking Skills, Study Habits
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