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Wang, Chung-Hsiang; Wu, Ko-Chiu; Jiang, Wan-Ting – Education and Information Technologies, 2023
Image-text conversion for web-based drawing involves mental activities of reification which sometimes leads students fluent in graphical hand skills to find it difficult to learn program code drawing. 35 people completed experiments on Topics 1 and 2 and 30 people completed experiments on Topics 1 to 3 on webpage design. A pretest and posttest…
Descriptors: Web Sites, Cognitive Style, Cognitive Ability, Computer Graphics
María Laura Angelini; Rut Muñiz; Alexis Cloquell Lozano – Education and Information Technologies, 2024
There is already an abundant literature on the virtues of simulation in education. However, there is also a lack of assessment instruments to determine the impact of virtual simulation and virtual exchange on participants' self-realisation of learning in teacher education. The aim of this study is to identify the variables that best describe…
Descriptors: Teacher Education, Longitudinal Studies, Simulation, Cognitive Style
Duygu Mutlu-Bayraktar – Education and Information Technologies, 2024
This study provides a current systematic review of emotional design research in the multimedia learning domain and explores how emotional design is studied in multimedia learning. All studies on emotional design in multimedia learning published until 2023 were examined thoroughly. In this study, 51 journal articles were identified based on PRISMA…
Descriptors: Literature Reviews, Multimedia Materials, Design, Psychological Patterns
Yi-chen Chen – Education and Information Technologies, 2024
Augmented Reality (AR) is believed a suitable teaching method for beginning-level Chinese as a Foreign Language (CFL) learners in learning Chinese characters, as the effects of AR on visualization may enhance recognition of pictographic characters and the integration of multimedia may facilitate comprehension of this logographic language. Yet the…
Descriptors: Computer Simulation, Chinese, Written Language, Second Language Learning
Chi-Cheng Chang; Kuang-Hsiung Huang – Education and Information Technologies, 2025
This study adopted a framework based on social cognitive theory to explore the influence of thinking styles on critical thinking and multiple mediation effects of student assessors' assessment performance (scoring and review comments) between them. Samples were 97 graduate students enrolled in the "Seminar" course at a university.…
Descriptors: Thinking Skills, Cognitive Style, Student Evaluation, Academic Achievement
Seongyune Choi; Hyeoncheol Kim – Education and Information Technologies, 2025
Attention to programming education from K-12 to higher education has been growing with the aim of fostering students' programming ability. This ability involves employing appropriate algorithms and computer codes to solve problems and can be enhanced through practical learning. However, in a formal educational setting, it is challenging to provide…
Descriptors: Foreign Countries, High School Freshmen, Programming, Artificial Intelligence
Hua-Xu Zhong; Jui-Hung Chang; Chin-Feng Lai; Pei-Wen Chen; Shang-Hsuan Ku; Shih-Yeh Chen – Education and Information Technologies, 2024
Artificial intelligence (AI) education is becoming an advanced learning trend in programming education. However, AI subjects can be difficult to understand because they require high programming skills and complex knowledge. This makes it challenging to determine how different departments of students are affected by them. This study draws on…
Descriptors: Undergraduate Students, Artificial Intelligence, Programming, STEM Education
Pedro Luis Saraiva Barbosa; Rafael Augusto Ferreira do Carmo; João P. P. Gomes; Windson Viana – Education and Information Technologies, 2024
Adaptive learning is a teaching approach aiming to personalize the learning experience for each student. In Computer Science Education (CSE), Adaptive Learning Systems (ALS) can provide students with customized lessons, exercises, and assessments based on their previous knowledge, strengths, and weaknesses. Some literature reviews focus on…
Descriptors: Teaching Methods, Individualized Instruction, Educational Technology, Technology Uses in Education
Yan Chen; Chengzheng Li; Lei Cao; Sidan Liu – Education and Information Technologies, 2024
Self-regulated learning ability is an important determinant of the effectiveness of blended learning. However, little research has been done on middle school students' horns to explore how to improve their self-regulation learning ability in blended learning. This study investigated the current situation of self-regulated learning, self-efficacy,…
Descriptors: Blended Learning, Middle School Students, Self Management, Self Efficacy
Hoa-Huy Nguyen; Kien Do Trung; Loc Nguyen Duc; Long Dang Hoang; Phong Tran Ba; Viet Anh Nguyen – Education and Information Technologies, 2024
This article presents the results of an experiment in personalizing course content and learning activity model tailored for online courses based on students' learning styles. The main research objectives are to design and pilot a model to determine students' learning styles to create personalized online courses. The study also addressed an…
Descriptors: Models, Online Courses, Cognitive Style, Classification
Tambunan, Hamonangan; Silitonga, Marsangkap; Sidabutar, Uli Basa – Education and Information Technologies, 2021
It is necessary to ensure that the combination of blended learning forms is suitable for the type of learning style. Experiments conducted with a 3 × 4 design, online-face-to-face composition (25-75, 50-50, 75-25) implemented into four groups of learning style types (Diverger, Assimilator, Converger, Accommodator). We took a total of seven…
Descriptors: Blended Learning, Cognitive Style, Preservice Teachers, Preservice Teacher Education
Zayet, Tasnim M. A.; Ismail, Maizatul Akmar; Almadi, Sara H. S.; Zawia, Jamallah Mohammed Hussein; Mohamad Nor, Azmawaty – Education and Information Technologies, 2023
Online learning has significantly expanded along with the spread of the coronavirus disease (COVID-19). Personalization becomes an essential component of learning systems due to students' different learning styles and abilities. Recommending materials that meet the needs and are tailored to learners' styles and abilities is necessary to ensure a…
Descriptors: Electronic Learning, Individualized Instruction, Artificial Intelligence, Cognitive Style
Abdul Rabu, Siti Nazleen; Mohamad, Siti Khadijah; Awwad, Samer A. B.; Ismail, Nurul Halimatul Asmak; Yeen, Kang Seua – Education and Information Technologies, 2023
Inquiry-based learning is a learning-and-teaching approach that allows students to gather and build knowledge of scientific facts by asking questions. To gain an understanding of the impact of such an instruction, this study examines the effectiveness of Video Inquiry-based Cooperative Learning (VICL) and Video Inquiry-based Learning (VIL) on…
Descriptors: Instructional Effectiveness, Inquiry, Active Learning, Video Technology
Feng Feng; Wenxia Yang – Education and Information Technologies, 2025
The emergence of digital game types has opened up significant opportunities to facilitate language acquisition through feedback provision, attracting diverse research strands to explore their potential as arenas for technology-assisted language learning. This study investigates the effects of learner-, peer-, and collaborative-regulated feedback…
Descriptors: Foreign Countries, Computer Games, Game Based Learning, Feedback (Response)
Azzi, Ibtissam; Jeghal, Adil; Radouane, Abdelhay; Yahyaouy, Ali; Tairi, Hamid – Education and Information Technologies, 2020
In E-Learning Systems, the automatic detection of the learners' learning styles provides a concrete way for instructors to personalize the learning to be made available to learners. The classification techniques are the most used techniques to automatically detect the learning styles by processing data coming from learner interactions with the…
Descriptors: Classification, Prediction, Identification, Cognitive Style