Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| College Students | 3 |
| Computer Managed Instruction | 3 |
| Open Source Technology | 3 |
| College Instruction | 2 |
| Comparative Analysis | 2 |
| Computer Software Evaluation | 2 |
| Computer System Design | 2 |
| Correlation | 2 |
| Data Analysis | 2 |
| Foreign Countries | 2 |
| Grades (Scholastic) | 2 |
| More ▼ | |
Author
| Abrizah, A. | 1 |
| Gupta, Rakesh | 1 |
| Payette, Dennis L. | 1 |
| Por, Lip Yee | 1 |
| Ventura, Sebastian | 1 |
| Wee, Mee-Chin | 1 |
| Zafra, Amelia | 1 |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkWee, Mee-Chin; Abrizah, A.; Por, Lip Yee – Journal of Educational Computing Research, 2012
A CMI-based online forum is designed to address the need for a system to manage students' online participation. The proposed system may reduce the time required to manage online participation. The system was evaluated by a total of 64 students enrolled in an academic semester. The evaluation has two objectives. The first was to determine the…
Descriptors: Foreign Countries, Discussion, Computer Software Evaluation, Computer Software
Download full textPayette, Dennis L.; Gupta, Rakesh – American Journal of Business Education, 2009
Colleges and universities have increasingly invested in specialized software and hardware designed to enhance and facilitate the instructional process for faculty and students. One type of technological assistance is commonly known as course management software (CMS). Once learned, these CMS packages can greatly enhance and enrich the classroom…
Descriptors: Teacher Attitudes, Student Attitudes, Database Management Systems, Educational Technology
Zafra, Amelia; Ventura, Sebastian – International Working Group on Educational Data Mining, 2009
The ability to predict a student's performance could be useful in a great number of different ways associated with university-level learning. In this paper, a grammar guided genetic programming algorithm, G3P-MI, has been applied to predict if the student will fail or pass a certain course and identifies activities to promote learning in a…
Descriptors: Foreign Countries, Programming, Academic Achievement, Grades (Scholastic)
