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Yoonhee Shin; Jaewon Jung; Seohyun Choi; Bokmoon Jung – Education and Information Technologies, 2025
This study investigates the effects of metacognitive and cognitive strategies for computational thinking (CT) on managing cognitive load and enhancing problem-solving skills in collaborative programming. Four different scaffolding conditions were provided to help learners optimize cognitive load and improve their problem-solving abilities. A total…
Descriptors: Scaffolding (Teaching Technique), Mental Computation, Cognitive Processes, Difficulty Level
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
Ma, Ning; Qian, Jinglong; Gong, Kaixin; Lu, Yao – Education and Information Technologies, 2023
Computational thinking is an important competence for learners in the twenty-first century. As an effective approach for cultivating competence in computational thinking, programming education has been extended from college to elementary school teaching. However, it is challenging to engage beginners in programming in elementary school education.…
Descriptors: Elementary School Students, Programming, Computer Science Education, Novices
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
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
Hao-Yue Jin; Maria Cutumisu – Education and Information Technologies, 2024
Computational thinking (CT) is considered to be a critical problem-solving toolkit in the development of every student in the digital twenty-first century. Thus, it is believed that the integration of deeper learning in CT education is an approach to help students transfer their CT skills beyond the classroom. Few literature reviews have mapped…
Descriptors: Computation, Thinking Skills, Problem Solving, Artificial Intelligence
Al-Shaikhli, Dhuha – Education and Information Technologies, 2023
This research examines the effect of having a tracking technology in a learning management system (LMS) that reports the effect of perceiving other students' interactions on a learner's intention to keep using LMS in the future. The main underlying theory is herd behaviour theory which argues that crowd behaviour affects the perceptions of the…
Descriptors: Learning Management Systems, Educational Technology, Learning Analytics, Independent Study
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
Shao-Chen Chang; Charoenchai Wongwatkit – Education and Information Technologies, 2024
As computational thinking becomes increasingly essential, the challenge of designing effective teaching approaches to foster students' abilities in this area persists, especially for higher order thinking skills. This study addresses this challenge by proposing and implementing a peer assessment-based Scrum project (PA-SP) learning approach in…
Descriptors: Peer Evaluation, Computer Science Education, Programming, Mental Computation
Unal, Alper; Topu, Fatma Burcu – Education and Information Technologies, 2021
In this study, based on quasi-experimental research, was investigated the effects of teaching Python programming language via Blockly tool, which had hybrid interface, on students' computer programming anxiety, cognitive load level, and achievement. Participants were 90 high school students, 44 of them in experimental group (hybrid interface) and…
Descriptors: Instructional Effectiveness, Computer Science Education, Computer Interfaces, Programming Languages
Mselle, Leonard; Ishengoma, Fredrick – Education and Information Technologies, 2022
In this paper, MTL, an approach for visualization-based pedagogy, is analyzed and contextualized in both Cognitive Load Theory (CLT) and Dual Coding Theory (DCT). Through MTL, lectures, tutorials, laboratory sessions and individual study in learning and teaching programming are all carried out using two cognitive channels; verbal and non-verbal.…
Descriptors: Visualization, Teaching Methods, Cognitive Ability, Learning Theories