Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Computer Assisted Testing | 3 |
| Gender Differences | 3 |
| Comparative Analysis | 2 |
| Student Attitudes | 2 |
| Test Format | 2 |
| Achievement Rating | 1 |
| Age Differences | 1 |
| Anxiety | 1 |
| Case Studies | 1 |
| Children | 1 |
| Computer Attitudes | 1 |
| More ▼ | |
Source
| Journal of Computer Assisted… | 3 |
Author
| Clemons, Josh | 1 |
| Froehlich, Laura | 1 |
| Gruss, Richard | 1 |
| Horne, J. | 1 |
| Jonkmann, Kathrin | 1 |
| Sassenberg, Kai | 1 |
| Scheiter, Katharina | 1 |
| Stürmer, Stefan | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Gruss, Richard; Clemons, Josh – Journal of Computer Assisted Learning, 2023
Background: The sudden growth in online instruction due to COVID-19 restrictions has given renewed urgency to questions about remote learning that have remained unresolved. Web-based assessment software provides instructors an array of options for varying testing parameters, but the pedagogical impacts of some of these variations has yet to be…
Descriptors: Test Items, Test Format, Computer Assisted Testing, Mathematics Tests
Froehlich, Laura; Sassenberg, Kai; Jonkmann, Kathrin; Scheiter, Katharina; Stürmer, Stefan – Journal of Computer Assisted Learning, 2023
Background: The use of e-exams in higher education is increasing. However, the role of student diversity in the acceptance of e-exams is an under-researched topic. In the current study, we considered student diversity in terms of three sociodemographic characteristics (age, gender, and second language) and three dispositional student…
Descriptors: Student Diversity, Student Attitudes, Computer Assisted Testing, Student Characteristics
Horne, J. – Journal of Computer Assisted Learning, 2007
Abstract Research has demonstrated girls outperform boys on conventional literacy tests. The present studies concern gender differences on computerised educational tests. Seventy-one children were tested using LASS Secondary and a set of seven conventional measures. No significant gender differences were found on any of the LASS Secondary modules,…
Descriptors: Achievement Rating, Children, Comparative Analysis, Computer Assisted Testing

Peer reviewed
Direct link
