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Showing 1 to 15 of 39 results Save | Export
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Chang, Jen-Chia; Shih, Hsiao-Fang; Yu, Yu-Hsien – Education & Training, 2023
Purpose: In this study a survey with a questionnaire was used to track the learning situation and core competencies of students in electrical engineering and computer science at the University of Science and Technology. A determination of areas that need to be strengthened is used as a reference in the cultivation of core competency in higher…
Descriptors: Engineering, Computer Science, Technical Education, College Students
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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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Lin, Yen-Ting – Educational Technology & Society, 2023
The aim of software engineering education is to educate students in software technologies, developments, procedures, and scientific practices to enable them to cope with industrial demands. However, the implementation of software engineering education in traditional university classrooms is restricted by the semester structure, making it difficult…
Descriptors: Academic Achievement, Electronic Books, Flipped Classroom, Computer Software
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YungYu Zhuang; Yu-Hsuan Lin; Mahesh Liyanawatta; Andito Haryo Saputro; Yuniati Dwi Utami; Jen-Hang Wang – Interactive Learning Environments, 2024
Computer programming is essential nowadays but still challenging to learn due to its invisible thinking. Current programming environments are mostly designed for operating on computers directly to learn concrete programming, but this approach lacks the support for clarifying learners' thinking processes. On the other hand, using paper and pens…
Descriptors: Educational Environment, Thinking Skills, Programming, Computer Science Education
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Ying-Chieh Liu; Hung-Yi Chen – IEEE Transactions on Education, 2025
Contribution: Expand the scope of factors influencing self-efficacy and highlight the importance of teaching quality, peer support, perceived course value, the moderating effects of self-regulation, and adversity quotient (AQ). Background: Self-efficacy has been regarded as an important factor in students' learning performance. However, little…
Descriptors: Foreign Countries, College Students, College Faculty, Programming
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Chang, Jen-Chia; Shih, Hsiao-Fang; Liao, Fan-Ru – Education & Training, 2022
Purpose: This study used the industry-oriented capstone course to increase the employability of electrical engineering and computer science (EECS) students in technological university. Design/methodology/approach: In this study, EECS students were selected and divided into groups, and the non-equivalent pretest-posttest quasi-experimental research…
Descriptors: Industry, Capstone Experiences, Employment Potential, Engineering Education
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Lin, Chin-Tsai; Chang, Shih-Jui; Chen, Yung-Hui – Journal of Educational Computing Research, 2022
With the progress and innovation of digital technology, people's knowledge acquisition, information exchange, and communication modes have changed significantly. The universality of emerging technology media enables instructional designers to use digital media to provide different teaching materials and teaching methods to meet the needs of…
Descriptors: Introductory Courses, Computer Science Education, Computer Uses in Education, Educational Technology
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Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
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Chou, Te-Lien; Tang, Kai-Yu; Tsai, Chin-Chung – Journal of Educational Computing Research, 2021
Programming learning has become an essential literacy for computer science (CS) and non-CS students in the digital age. Researchers have addressed that students' conceptions of learning influence their approaches to learning, and thus impact their learning outcomes. Therefore, we aimed to uncover students' conceptions of programming learning…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Attitudes
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Chen, Yuh-Tyng; Liou, Shyhnan; Chen, Sheau-Ming – Interactive Learning Environments, 2021
Procedural knowledge learning focuses on integrating theory with practice; however, time and pace are the main critical issues. In response, this study proposes a flipped classroom approach based on the Bandura's [1986. The explanatory and predictive scope of self-efficacy theory. "Journal of Social and Clinical Psychology,"…
Descriptors: Flipped Classroom, Computer Science Education, Computer Software, College Students
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Chang, Jen-Chia; Hsiao, Yuan-Du; Chen, Su-Chang; Tsung-Ta, Yu – Education & Training, 2018
Purpose: The purpose of this paper is to investigate entrepreneurial competencies of students in practicums within departments of electrical engineering and computer sciences (EECS) in universities of technology. In total, 71 faculty members who advised in entrepreneurial competitions in universities of technology were participants in the…
Descriptors: College Students, Engineering, Entrepreneurship, Departments
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Lin, Che-Chern; Liu, Zi-Cheng; Chang, Chih-Lin; Lin, Yu-Wen – IEEE Transactions on Education, 2019
Contribution: An online genetic algorithm-based remedial learning system is presented in order to strengthen students' understanding of object-oriented programming (OOP) concepts by tailoring personalized learning materials according to each student's strengths and weaknesses. Background: Prior studies on computer programming education have…
Descriptors: Individualized Instruction, Remedial Instruction, Computer Science Education, Programming Languages
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Liang, Jyh-Chong; Su, Yi-Ching; Tsai, Chin-Chung – Asia-Pacific Education Researcher, 2015
The aim of this study was to explore Taiwanese college students' conceptions of and approaches to learning computer science and then explore the relationships between the two. Two surveys, Conceptions of Learning Computer Science (COLCS) and Approaches to Learning Computer Science (ALCS), were administered to 421 college students majoring in…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Science
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Chang, Chih-Kai; Yang, Ya-Fei; Tsai, Yu-Tzu – Education for Information, 2017
Previous research indicates that understanding the state of learning motivation enables researchers to deeply understand students' learning processes. Studies have shown that visual programming languages use graphical code, enabling learners to learn effectively, improve learning effectiveness, increase learning fun, and offering various other…
Descriptors: Programming Languages, Student Motivation, Questionnaires, Correlation
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Chiang, Tosti Hsu-Cheng – Interactive Learning Environments, 2017
Programing is difficult for beginners because they need to learn the new language of computers. Developing software, especially complex software, is bound to result in problems, frustration, and the need to think in new ways. Identifying the learning behavior behind programing by way of empirical studies can help beginners learn more easily. In…
Descriptors: Programming, Educational Technology, Technology Uses in Education, Problem Solving
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