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Showing 1 to 15 of 18 results Save | Export
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Ying-Lien Lin; Wei-Tsong Wang; Zhi-Lun Lai – Education and Information Technologies, 2025
Although some studies have examined the effects of self-regulated learning (SRL) strategies on learning effectiveness, inconsistent results have been reported. Additionally, studies that adopt the perspective of SRL to evaluate the effect of metacognitive skills on students' actual learning effectiveness in digital game-based learning (DGBL)…
Descriptors: Prior Learning, Metacognition, Game Based Learning, Learning Strategies
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Nitesh Kumar Jha; Plaban Kumar Bhowmik; Kaushal Kumar Bhagat – Educational Technology Research and Development, 2024
A majority of research in Computational Thinking (CT) mainly focuses on teaching coding to school students. However, CT involves more than just coding and includes other skills like algorithmic thinking. The current study developed an Online Inquiry-based Learning Platform for Computational Thinking (CT-ONLINQ) that follows Inquiry-Based Learning…
Descriptors: Thinking Skills, Computer Science Education, Comparative Analysis, Problem Solving
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Shin, Yoonhee; Song, Donggil – Journal of Educational Computing Research, 2022
This study explores the effect of self-regulated learning support on learners' cognitive load and problem-solving performance, considering cases from well-structured to ill-structured tasks in a computer programing course. Sixty-seven undergraduate students in a computer programing fundamentals course were randomly assigned into one of two groups:…
Descriptors: Cognitive Ability, Computer Science Education, Programming, Problem Solving
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Ezeamuzie, Ndudi O. – Journal of Educational Computing Research, 2023
Most studies suggest that students develop computational thinking (CT) through learning programming. However, when the target of CT is decoupled from programming, emerging evidence challenges the assertion of CT transferability from programming. In this study, CT was operationalized in everyday problem-solving contexts in a learning experiment (n…
Descriptors: Programming, Computer Science Education, Problem Solving, Thinking Skills
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Mike, Koby; Hazzan, Orit – Statistics Education Research Journal, 2022
Data science is a new field of research that has attracted growing interest in recent years as it focuses on turning raw data into understanding, insight, knowledge, and value. New data science education programs, which are being launched at an increasing rate, are designed for multiple education levels and populations. Machine learning (ML) is an…
Descriptors: Teaching Methods, Nonmajors, Statistics Education, Artificial Intelligence
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McCord, Rachel; Jeldes, Isaac – Computer Science Education, 2019
Background and Context: Flipped classrooms are becoming more widely adopted across engineering higher education contexts. In degree programs where enrollment is increasing and undergraduate curricula are packed with content, pedagogies that allow more time for actively participate in classroom activities are being highly sought after to aid in…
Descriptors: Computer Software, Computer Science Education, Blended Learning, Intervention
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Genut, Sara; Kolikant, Yifat Ben-David – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2017
Aim/Purpose: Our research focuses on a unique group of students who study computer science (CS): ultra-orthodox Jewish men. Their previous education is based mostly on studying Talmud and hence they lacked a conventional high-school education. Our research goal was to examine whether their prior education is merely a barrier to their CS studies or…
Descriptors: Foreign Countries, Computer Science Education, Males, Jews
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Shilo, Gila; Ragonis, Noa – Journal of Further and Higher Education, 2019
A central issue in the design of curricula for all school levels is the development of the learners' high-order thinking skills and metacognitive skills. Among such required skills is the ability to solve problems. The literature dealing with the development of problem-solving skills is vast and primarily addresses the scientific disciplines, even…
Descriptors: Thinking Skills, Metacognition, Problem Solving, Linguistics
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Tegos, Stergios; Demetriadis, Stavros – Educational Technology & Society, 2017
Research in computer-supported collaborative learning has indicated that conversational agents can be pedagogically beneficial when used to scaffold students' online discussions. In this study, we investigate the impact of an agile conversational agent that triggers student dialogue by making interventions based on the academically productive talk…
Descriptors: Cooperative Learning, Prior Learning, Intervention, Outcomes of Education
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Tegos, Stergios; Demetriadis, Stavros; Papadopoulos, Pantelis M.; Weinberger, Armin – International Journal of Computer-Supported Collaborative Learning, 2016
Conversational agents that draw on the framework of academically productive talk (APT) have been lately shown to be effective in helping learners sustain productive forms of peer dialogue in diverse learning settings. Yet, literature suggests that more research is required on how learners respond to and benefit from such flexible agents in order…
Descriptors: Interpersonal Communication, Computer Mediated Communication, Academic Discourse, Peer Relationship
Monahan, Brian D. – Educational Technology, 1986
This study investigated whether computer science educational background makes secondary students more adept at using word processing capabilities, and compared computer science and non-computer science students' writing improvement with word processing use. Computer science students used more sophisticated program features but student writing did…
Descriptors: Comparative Analysis, Computer Science Education, Prior Learning, Questionnaires
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Charlton, John P.; Birkett, Paul E. – Journal of Educational Computing Research, 1998
Compares characteristics of students taking programming-oriented versus applications-oriented higher education courses. Topics include computer engagement, programming experience, computing attitudes, a greater gender imbalance in enrollment on the programming-oriented course, the usefulness of psychometric measures, discriminant function…
Descriptors: Comparative Analysis, Computer Attitudes, Computer Science Education, Discriminant Analysis
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Gurbuz, Tarkan; Yildirim, Soner; Ozden, M. Yasar – Journal of Educational Technology Systems, 2001
Investigated the effectiveness of two computer literacy courses for preservice teachers, one offered online and one through traditional methods. Compared courses in terms of their effectiveness on computer attitudes and learning experiences about computers, and considered gender effects, previous computer courses, previous computer attitudes, and…
Descriptors: Comparative Analysis, Computer Attitudes, Computer Literacy, Computer Science Education
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Durndell, A.; Thomson, K. – Computers & Education, 1997
Describes a 1995 study of college freshmen at a Scottish university that examined use of computers, knowledge about information technology, and reasons for not studying computing. Gender differences are discussed and results are compared with earlier studies from 1992, 1989, and 1986. (LRW)
Descriptors: Analysis of Variance, College Freshmen, Comparative Analysis, Computer Science Education
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Carswell, Linda; Thomas, Pete; Petre, Marian; Price, Blaine; Richards, Mike – British Journal of Educational Technology, 2000
Compares the experiences of a group of Internet students to those of conventional distance learning students in the same Computer Science course at the Open University (United Kingdom). Discusses learning styles; background questionnaires that included computer use, email experience, programming, education, and attitudes; learning outcomes;…
Descriptors: Academic Achievement, Cognitive Style, Comparative Analysis, Computer Assisted Instruction
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