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Najim Oumelaid; Brahim El Boukari; Jalila El Ghordaf – Journal of Education and Learning (EduLearn), 2025
This paper presents the findings of a comprehensive experimental study examining the impact of computer-assisted instruction (CAI) compared to traditional teaching methods on learner performance and motivation in mathematics education. The study, conducted with 80 first-year college learners from a primary school in Morocco, aimed to assess the…
Descriptors: Foreign Countries, Computer Assisted Instruction, Conventional Instruction, Student Motivation
Andrei Ludu; Maria Ludu; Teha Cooks – Journal of Computers in Mathematics and Science Teaching, 2025
This paper presents research activity on computer-based mathematics learning to study the effectiveness of open-source teaching computer platforms (Canvas) in computer-assisted instruction. We designed a set of multiple-choice online quizzes as a dynamical flow-chart of possible paths to follow while solving a difficult math problem on…
Descriptors: Teaching Methods, Computer Assisted Instruction, Mathematics Education, Engineering Education
Kubra Acikgul; Kubra Onuk Keskin – International Journal of Education in Mathematics, Science and Technology, 2025
This study aimed to investigate research trends regarding the use of GeoGebra in educational research through bibliometric analysis. 301 articles published in the Web of Science database between 2009 and 2023 were included in the research. Web of Science database and VOSviewer program were used during bibliometric analysis. Performance analysis…
Descriptors: Computer Software, Mathematics Instruction, Authors, Information Retrieval
Hsiao-Ching She; Meng-Jun Chen; Li-Yu Huang; Ching-Ying Hsueh – Education and Information Technologies, 2025
Despite the recognized link between scientific reasoning, mental sets, and conceptual change, the cognitive mechanisms underlying successful conceptual change remain unclear. To explore this, we developed computer-based reasoning programs with and without mental set support to examine their effects on conceptual change in tasks of varying…
Descriptors: Cognitive Processes, Scientific Concepts, Concept Formation, Eye Movements
Tiansheng Xia; Xinyi Pan; Meitao Cao; Jiayue Guo – Education and Information Technologies, 2025
Reading provides college students with vital assistance in their efforts to expand their knowledge base. Artificial intelligence (AI)-assisted reading tools have been developed with the aim of improving students' reading efficiency and reading experience. However, the acceptance of such tools and relevant influencing factors remain unknown. This…
Descriptors: College Students, Student Attitudes, Adoption (Ideas), Artificial Intelligence
Amir Reza Rahimi; Ana Sevilla-Pavón – Smart Learning Environments, 2025
In computer-assisted language learning (CALL), a variety of studies have explored the use of Virtual Exchange (VE) for shaping learners' cultural competence from the perspective of sociolinguistics. However, few studies have examined learners' psycholinguistic factors in this context. Since based on the dynamic complex system, students'…
Descriptors: Computer Assisted Instruction, Second Language Instruction, International Educational Exchange, Cultural Awareness
Qikai Wang; Yang Gao; Jialing Sun – European Journal of Education, 2025
With the rapid integration of artificial intelligence (AI) into English as a Foreign Language (EFL) classrooms, understanding how human teachers can effectively support learners has become increasingly important. This study investigates Chinese university students' perceived importance of different forms of teacher support in AI-assisted EFL…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Computer Assisted Instruction
Dubey, Pushkar; Sahu, Kailash Kumar – Journal of Research in Innovative Teaching & Learning, 2023
Purpose: Students' perception towards learning technologies in the disruptive times like coronavirus disease (2019) COVID-19 is what the educational institutes are striving to know so that the educational institutes could provide the best learning experiences to students. The present study attempts to identify the technology-enhanced learning…
Descriptors: Technology Uses in Education, Student Satisfaction, Educational Benefits, College Students
Bahari, Akbar; Wu, Sumei; Ayres, Paul – Educational Psychology Review, 2023
A contemporary review (over a 10-year period) was conducted into studies that used computer-assisted language learning (CALL) strategies to learn a second language (L2) by considering the impact of cognitive load. Twelve affordances were identified that led to enhanced learning, namely, online annotations and glosses, captioning, digital…
Descriptors: Computer Assisted Instruction, Second Language Learning, Cognitive Processes, Difficulty Level
Yildiz Durak, Hatice; Atman Uslu, Nilüfer – Educational Technology Research and Development, 2023
The main purpose of Computer-Supported Collaborative Learning (CSCL) is to improve academic performance through collaborative systems design. To increase the quantity and quality of interactions in CSCL and to reduce feelings of loneliness and burnout during online learning, learner group regulation should be supported. According to the…
Descriptors: Learning Strategies, Group Dynamics, Cooperative Learning, Computer Assisted Instruction
Wu, Ting-Ting; Lee, Hsin-Yu; Wang, Wei-Sheng; Lin, Chia-Ju; Huang, Yueh-Min – International Journal of Educational Technology in Higher Education, 2023
In the field of Science, Technology, Engineering, and Mathematics (STEM) education, which aims to cultivate problem-solving skills, accurately assessing learners' engagement remains a significant challenge. We present a solution to this issue with the Real-time Automated STEM Engagement Detection System (RASEDS). This innovative system capitalizes…
Descriptors: STEM Education, Learner Engagement, Self Efficacy, Problem Solving
Figueiredo, Sandra – Journal of Computer Assisted Learning, 2023
Background: As more people around the globe become immigrants or refugees, an increasingly popular subsection of research has aimed to investigate how these populations use mobile-assisted language learning (MALL) to learn the language(s) of the host country. Objectives: This study examines how the language learning, inclusion and self-regulation…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Second Language Learning, Immigrants
Baruni, Rasha R. – ProQuest LLC, 2023
Children can experience unintentional injuries due to safety threats found in their environments (Centers for Disease Control and Prevention, 2008). Researchers have shown that children can be taught safety responses using behavioral skills training (BST) and in situ training (IST). Within the safety skills literature, there is evidence that…
Descriptors: Interaction, Computer Assisted Instruction, Training, Safety Education
Baltzaki, Maria; Chlapana, Elissavet – Education and Information Technologies, 2023
The aim of the present study was to compare the impact of two different didactic techniques, blended teaching and teaching by the exclusive use of ICT, on preschool children's vocabulary development. Additional aim of the present study was to investigate whether the impact of the two didactic techniques is differentiated by several language and…
Descriptors: Receptive Language, Vocabulary Development, Preschool Children, Blended Learning
Bikram Kumar Singh – ProQuest LLC, 2023
The purpose of this dissertation was to understand and compare the effect of training non-native English Speaking (NNES) learners (N = 480) in two distinct learning environments, (i) traditional face-to-face and (ii) online synchronous hybrid learning (SHL). In the traditional training mode, NNES learners (n = 360) were trained by NNES voice and…
Descriptors: English Language Learners, Blended Learning, Computer Assisted Instruction, Educational Technology

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