Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Blended Learning | 2 |
| College Students | 2 |
| Computer Science Education | 2 |
| Conventional Instruction | 2 |
| Programming Languages | 2 |
| Achievement Tests | 1 |
| Active Learning | 1 |
| Cognitive Style | 1 |
| Control Groups | 1 |
| Electronic Learning | 1 |
| Experimental Groups | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
| Turkey | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Motivated Strategies for… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkOlelewe, Chijioke Jonathan; Agomuo, Emmanuel E.; Obichukwu, Peter Uzochukwu – Education and Information Technologies, 2019
Achieving learner engagement in the teaching and learning process is paramount towards ensuring knowledge retention in QBASIC programming. This study focuses on effects of b-learning and face-to-face (F2F) on college students' engagement and retention in QBASIC programming. The study adopted quasi-experimental design with non-equivalent group…
Descriptors: College Students, Learner Engagement, Retention (Psychology), Programming
Download full textYagci, 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
