Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 6 |
Descriptor
Individual Differences | 6 |
Programming | 6 |
Undergraduate Students | 6 |
Computer Science Education | 4 |
Foreign Countries | 3 |
Gender Differences | 3 |
Novices | 3 |
Student Characteristics | 3 |
Academic Achievement | 2 |
Cognitive Processes | 2 |
Computer Software | 2 |
More ▼ |
Source
Behavior Analyst Today | 1 |
Computer Science Education | 1 |
Contemporary Educational… | 1 |
Education and Information… | 1 |
International Educational… | 1 |
Journal of Interactive… | 1 |
Author
Publication Type
Journal Articles | 5 |
Reports - Research | 4 |
Collected Works - Proceedings | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 5 |
Postsecondary Education | 5 |
Elementary Education | 1 |
Grade 8 | 1 |
High Schools | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Teachers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Group Embedded Figures Test | 1 |
What Works Clearinghouse Rating
Zhang, Yingbin; Paquette, Luc; Pinto, Juan D.; Liu, Qianhui; Fan, Aysa Xuemo – Education and Information Technologies, 2023
It is widely recognized that debugging is challenging for novice programmers and, as such, computing educators and researchers have called for explicit debugging instruction. Debugging requires various knowledge and skills, and different students may show different strengths and weaknesses. An understanding of such individual differences is…
Descriptors: Undergraduate Students, Programming, Novices, Troubleshooting
Hugo G. Lapierre; Patrick Charland; Pierre-Majorique Léger – Computer Science Education, 2024
Background and Context: Current programming learning research often compares novices and experienced programmers, leaving early learning stages and emotional and cognitive states under-explored. Objective: Our study investigates relationships between cognitive and emotional states and learning performance in early stage programming learners with…
Descriptors: Programming, Computer Science Education, Psychological Patterns, Cognitive Processes
Akar, Sacide Guzin Mazman; Altun, Arif – Contemporary Educational Technology, 2017
The purpose of this study is to investigate and conceptualize the ranks of importance of social cognitive variables on university students' computer programming performances. Spatial ability, working memory, self-efficacy, gender, prior knowledge and the universities students attend were taken as variables to be analyzed. The study has been…
Descriptors: Individual Differences, Learning Processes, Programming, Self Efficacy
Wei, Liew Tze; Sazilah, Salam – Journal of Interactive Learning Research, 2012
This study investigated the effects of visual cues in multiple external representations (MER) environment on the learning performance of novices' program comprehension. Program codes and flowchart diagrams were used as dual representations in multimedia environment to deliver lessons on C-Programming. 17 field independent participants and 16 field…
Descriptors: Programming, Multimedia Materials, Computer Assisted Instruction, Computer Science Education
Emurian, Henry H. – Behavior Analyst Today, 2007
At the beginning of a Java computer programming course, nine students in an undergraduate class and nine students in a graduate class completed a web-based programmed instruction tutoring system that taught a simple computer program. All students exited the tutor with an identical level of skill, at least as determined by the tutor's required…
Descriptors: Multiple Choice Tests, Computer Software, Computers, Program Effectiveness
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis