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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
Huang, Sheng-Bo; Jeng, Yu-Lin; Lai, Chin-Feng – Journal of Educational Computing Research, 2021
In recent years, the government has actively set up computer programming courses to train those with the relevant talent; however, the learning performance of the students is not ideal. Therefore, in order to learn programming skills, students usually adopt note-taking strategies because, due to the pressure of the course, the teachers do not have…
Descriptors: Notetaking, Learning Strategies, Cognitive Style, Peer Teaching
Çakiroglu, Ünal; Er, Betül; Ugur, Nursel; Aydogdu, Esra – International Journal of Computer Science Education in Schools, 2018
This study attempts to understand the relationship between learning styles and self-regulated learning of preservice computer teachers in a programming course. Students' strategies for self-regulation with regard to their learning styles were assessed on the basis of qualitative data in terms of programming course. The Turkish version of…
Descriptors: Learning Strategies, Independent Study, Programming, Computer Science Education
Yagci, Mustafa – Turkish Online Journal of Educational Technology - TOJET, 2016
High-level thinking and problem solving skill is one requirement of computer programming that most of the students experience problems with. Individual differences such as motivation, attitude towards programming, thinking style of the student, and complexity of the programming language have influence on students' success on programming. Thus,…
Descriptors: Blended Learning, Programming Languages, Success, Student Motivation
Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers and posters of the International Conference on e-Learning (EL) 2019, which was organised by the International Association for Development of the Information Society and co-organised by the Instituto Superior de Engenharia do Porto, in Porto, Portugal, July 17-19, 2019. The EL 2019 conference aims to address the…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Instruction, Cooperation
Sun, Shanghua; Joy, Mike; Griffiths, Nathan – Journal of Interactive Learning Research, 2007
Adaptive learning and teaching strategies are increasingly demanded in order to improve the efficiency and effectiveness of the education process, but few intelligent education systems exist, which are dynamic and able to satisfy individual students' requirements. In an attempt to overcome these limitations, we have developed a multi-agent…
Descriptors: Teaching Methods, Efficiency, Educational Research, Cognitive Style

Moore, Sarah; O'Maidin, Donncha; McElligot, Annette – Journal of Computing in Higher Education, 2003
Explored the relationship among cognitive style, performance, gender, and communication among computer students. Found a significant relationship between performance and cognitive style; students whose cognitive style scores indicated a preference for analytical thinking had better performance scores when entering college than those with a…
Descriptors: Academic Achievement, Cognitive Style, College Students, Computer Science Education

Davidson, Gayle V.; And Others – Journal of Research on Computing in Education, 1992
A learning style inventory was administered to 68 undergraduates enrolled in a course on computer applications in education. Correlation of these data with grades on class projects and exams indicated that students with high abstract sequential ability had higher performance scores, and learners with a dominance in abstract random style had lower…
Descriptors: Academic Achievement, Cognitive Style, Computer Assisted Instruction, Computer Science Education
Kolikant, Yifat Ben-David; Pollack, Sarah – Computer Science Education, 2004
Norms govern the criteria by which students decide what is good and what is not good, and align their learning trajectories accordingly.We found that the high-school students' norm is to produce working, but not necessarily error-free, programs and to argue for their correctness solely on the basis of a few executions. Therefore, they prefer…
Descriptors: Norms, Computer Science, Teaching Methods, High School Students
Denenberg, Stewart A. – Journal of Computer Science Education, 1993
Proposes using computer programing teaching problem solving. Describes the problem-solving technique of Top-Down Design, discusses its application to LOGO, and provides examples of programs using LOGO. (MDH)
Descriptors: Cognitive Style, Computer Assisted Instruction, Computer Oriented Programs, Computer Science Education