Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 6 |
Descriptor
Source
Journal of Computer Assisted… | 6 |
Author
Anne-Marieke Loon | 1 |
Blieck, Yves | 1 |
Chang, Wen-Hui | 1 |
DePryck, Koen | 1 |
Delgado Kloos, Carlos | 1 |
Drachsler, Hendrik | 1 |
Fogel-Grinvald, Haya | 1 |
Gaševic, Dragan | 1 |
Gino Camp | 1 |
Huang, Tzu-Hua | 1 |
Kauwenberghs, Kurt | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 6 |
Education Level
Elementary Education | 2 |
Higher Education | 2 |
Postsecondary Education | 2 |
Adult Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kevin Ackermans; Marjoke Bakker; Pierre Gorissen; Anne-Marieke Loon; Marijke Kral; Gino Camp – Journal of Computer Assisted Learning, 2024
Background: A practical test that measures the information and communication technology (ICT) skills students need for effectively using ICT in primary education has yet to be developed (Oh et al., 2021). This paper reports on the development, validation, and reliability of a test measuring primary school students' ICT skills required for…
Descriptors: Test Construction, Test Validity, Measures (Individuals), Elementary School Students
Blieck, Yves; Kauwenberghs, Kurt; Zhu, Chang; Struyven, Katrien; Pynoo, Bram; DePryck, Koen – Journal of Computer Assisted Learning, 2019
Online and blended learning (OBL) is valued, but it also offers challenges. Literature indicates that OBL can enhance access to education and increase flexibility for students. However, the reported dropout rates indicate that student participation in OBL programmes is a concern. Scientifically valid knowledge about how factors that help students…
Descriptors: Online Courses, Blended Learning, Educational Technology, Technology Uses in Education
Whitelock-Wainwright, Alexander; Gaševic, Dragan; Tsai, Yi-Shan; Drachsler, Hendrik; Scheffel, Maren; Muñoz-Merino, Pedro J.; Tammets, Kairit; Delgado Kloos, Carlos – Journal of Computer Assisted Learning, 2020
To assist higher education institutions in meeting the challenge of limited student engagement in the implementation of Learning Analytics services, the Questionnaire for Student Expectations of Learning Analytics (SELAQ) was developed. This instrument contains 12 items, which are explained by a purported two-factor structure of "Ethical and…
Descriptors: Questionnaires, Test Construction, Test Validity, Learning Analytics
Patael, Smadar; Shamir, Julia; Soffer, Tal; Livne, Eynat; Fogel-Grinvald, Haya; Kishon-Rabin, Liat – Journal of Computer Assisted Learning, 2022
Background: The global COVID-19 pandemic turned the adoption of on-line assessment in the institutions for higher education from possibility to necessity. Thus, in the end of Fall 20/21 semester Tel Aviv University (TAU)--the largest university in Israel--designed and implemented a scalable procedure for administering proctored remote…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Foreign Countries
Chang, Wen-Hui; Liu, Yuan-Chen; Huang, Tzu-Hua – Journal of Computer Assisted Learning, 2017
The purpose of this study is to develop a multi-dimensional scale to measure students' awareness of key competencies for M-learning and to test its reliability and validity. The Key Competencies of Mobile Learning Scale (KCMLS) was determined via confirmatory factor analysis to have four dimensions: team collaboration, creative thinking, critical…
Descriptors: Test Construction, Multidimensional Scaling, Electronic Learning, Test Reliability
Uzunboylu, H.; Ozdamli, F. – Journal of Computer Assisted Learning, 2011
Successful integration of mobile learning (m-learning) technologies in education primarily demands that teachers' perception of such technologies should be determined. Therefore, the perceptions of teachers are of great significance. There is no available instrument that assesses teachers' perceptions of m-learning. Our research provided the first…
Descriptors: Electronic Learning, Feedback (Response), Test Validity, Measures (Individuals)