Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 11 |
Since 2006 (last 20 years) | 29 |
Descriptor
Cognitive Style | 33 |
College Students | 33 |
Computer Science Education | 31 |
Foreign Countries | 19 |
Programming | 16 |
Teaching Methods | 12 |
Student Attitudes | 11 |
Electronic Learning | 10 |
Models | 10 |
Educational Technology | 9 |
Instructional Effectiveness | 8 |
More ▼ |
Source
Author
Nunes, Miguel Baptista, Ed. | 2 |
A. I. Makinde | 1 |
Akpinar, Yavuz | 1 |
Atkinson, J. Kirk | 1 |
Aydogdu, Esra | 1 |
B. A. Ojokoh | 1 |
Ballera, Melvin A. | 1 |
Barry, R. M. | 1 |
Bishop-Clark, Cathy | 1 |
Bory-Reyes, Juan | 1 |
Cavus, Nadire | 1 |
More ▼ |
Publication Type
Journal Articles | 26 |
Reports - Research | 25 |
Reports - Evaluative | 4 |
Collected Works - Proceedings | 3 |
Speeches/Meeting Papers | 3 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 29 |
Postsecondary Education | 22 |
Elementary Secondary Education | 2 |
High Schools | 2 |
Secondary Education | 2 |
Elementary Education | 1 |
Audience
Location
Taiwan | 5 |
Turkey | 4 |
Australia | 3 |
Italy | 3 |
Germany | 2 |
Greece | 2 |
Ireland | 2 |
Mexico | 2 |
Pennsylvania | 2 |
Philippines | 2 |
Asia | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Learning Style Inventory | 3 |
Group Embedded Figures Test | 1 |
Motivated Strategies for… | 1 |
Myers Briggs Type Indicator | 1 |
What Works Clearinghouse Rating
O. S. Adewale; O. C. Agbonifo; E. O. Ibam; A. I. Makinde; O. K. Boyinbode; B. A. Ojokoh; O. Olabode; M. S. Omirin; S. O. Olatunji – Interactive Learning Environments, 2024
With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…
Descriptors: Cognitive Style, Individualized Instruction, Learning Processes, Preferences
Ezequiel Scott; Marcelo Campo – Interactive Learning Environments, 2023
Scrum is one of the most used frameworks for agile software development because of its potential improvements in productivity, quality, and client satisfaction. Academia has also focussed on teaching Scrum practices to prepare students to face common software engineering challenges and facilitate their insertion in professional contexts.…
Descriptors: Computer Simulation, Training, Computer Software, Computer Science Education
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
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
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
Rusli, Muhammad; Negara, I. Komang Rinartha Yasa – Turkish Online Journal of Distance Education, 2017
The effectiveness of a learning depends on four main elements, they are content, desired learning outcome, instructional method and the delivery media. The integration of those four elements can be manifested into a learning module which is called multimedia learning or learning by using multimedia. In learning context by using computer-based…
Descriptors: Animation, Multimedia Instruction, Cognitive Style, Programming
Ramirez-Arellano, Aldo; Bory-Reyes, Juan; Hernández-Simón, Luis Manuel – Journal of Educational Computing Research, 2017
The main goal of this article is to develop a Management System for Merging Learning Objects (msMLO), which offers an approach that retrieves learning objects (LOs) based on students' learning styles and term-based queries, which produces a new outcome with a better score. The msMLO faces the task of retrieving LOs via two steps: The first step…
Descriptors: Cognitive Style, Computer Science Education, Management Systems, Educational Resources
Maaliw, Renato R. III; Ballera, Melvin A. – International Association for Development of the Information Society, 2017
The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…
Descriptors: Classification, Cognitive Style, Electronic Learning, Decision Making
Yang, Juan; Huang, Zhi Xing; Gao, Yue Xiang; Liu, Hong Tao – IEEE Transactions on Learning Technologies, 2014
During the past decade, personalized e-learning systems and adaptive educational hypermedia systems have attracted much attention from researchers in the fields of computer science Aand education. The integration of learning styles into an intelligent system is a possible solution to the problems of "learning deviation" and…
Descriptors: Cognitive Style, Pattern Recognition, Intelligent Tutoring Systems, Prediction
Magdin, Martin; Turcáni, Milan – Turkish Online Journal of Educational Technology - TOJET, 2015
Individualization of learning through ICT [Information and Communication Technology] allows to students not only the possibility choose the time and place to study, but especially pace adoption of new knowledge on the basis of preferred learning styles. Analysis of learning processes should give the answer to difficult questions from pedagogical…
Descriptors: Management Systems, Information Technology, Electronic Learning, Cognitive Style
Yang, Ya-Fei; Lee, Chien-I; Chang, Chih-Kai – Education for Information, 2016
Collaborative learning is an activity in which two or more students learn something together. Many studies have found that collaborative learning improve students' memory retention and motivation to learn. Peer Instruction (PI) is one of the most successful evidence-based collaborative learning methods. This article investigates issues of student…
Descriptors: Learning Motivation, Retention (Psychology), Computer Science Education, Programming
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
White, Garry L. – Information Systems Education Journal, 2012
This research investigated the impact learning a visual programming language, Visual Basic, has on hemispheric cognitive style, as measured by the Hemispheric Mode Indicator (HMI). The question to be answered is: will a computer programming course help students improve their cognitive abilities in order to perform well? The cognitive styles for…
Descriptors: Programming, Cognitive Style, College Students, Prerequisites
Hsieh, Tung-Cheng; Lee, Ming-Che; Su, Chien-Yuan – Educational Technology & Society, 2013
In recent years, the demand for computer programming professionals has increased rapidly. These computer engineers not only play a key role in the national development of the computing and software industries, they also have a significant influence on the broader national knowledge industry. Therefore, one of the objectives of information…
Descriptors: Foreign Countries, Computer Science Education, Individualized Instruction, Remedial Instruction
Coleman, Phillip; Atkinson, J. Kirk; Thrasher, Evelyn – Journal of Instructional Pedagogies, 2011
The purpose of this study is to investigate the differences between genders on the scores of a series of spreadsheet projects in a survey computer information systems course. This study hypothesizes that there will be significance in scores in the ten assigned projects between female students and males students; with the female students scoring…
Descriptors: Gender Differences, Scores, Information Systems, Spreadsheets