Publication Date
| In 2025 | 1 |
| Since 2024 | 3 |
| Since 2021 (last 5 years) | 4 |
| Since 2016 (last 10 years) | 4 |
| Since 2006 (last 20 years) | 6 |
Descriptor
Source
| Journal of Computer Assisted… | 6 |
Author
| Adéla Hartlová | 1 |
| Angelica Ronconi | 1 |
| Anne Schüler | 1 |
| Božic, Radoslav | 1 |
| Brown, C. | 1 |
| Czerniewicz, L. | 1 |
| Hewson, C. | 1 |
| Jan Cincera | 1 |
| Josef Šedlbauer | 1 |
| Junxia Xiong | 1 |
| Liang Zhao | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 5 |
| Reports - Descriptive | 1 |
Education Level
| Higher Education | 6 |
| Postsecondary Education | 5 |
Audience
Location
| China | 1 |
| Italy | 1 |
| South Africa | 1 |
| United Kingdom | 1 |
Laws, Policies, & Programs
| Equal Access | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkZhicheng Dai; Ling Wang; Xian Peng; Liang Zhao; Junxia Xiong – Journal of Computer Assisted Learning, 2024
Background: Smart classroom environment has drawn worldwide attention, however, there is still a lack of studies that can explore and analyse potential factors, which affect students' satisfaction with smart classrooms in higher education. Objectives: To assess students' satisfaction with smart classrooms in higher education, this study proposed…
Descriptors: Student Satisfaction, Classroom Environment, College Students, Educational Technology
Josef Šedlbauer; Jan Cincera; Martin Slavík; Adéla Hartlová – Journal of Computer Assisted Learning, 2024
Background: The emergence of Generative Artificial Intelligence has brought a number of ethical and practical issues to higher education. Solid experimental evidence is yet inadequate to set the functional rules for the new technology. Objectives: The objective of this study is to analyse the experience of undergraduate students' interaction with…
Descriptors: Artificial Intelligence, Higher Education, Undergraduate Students, Interaction
Stevanovic, Aleksandra; Božic, Radoslav; Radovic, Slaviša – Journal of Computer Assisted Learning, 2021
Background: The COVID-19 pandemic has created significant challenges for the global higher education community. Understanding of students' perception has important implications for the quality of the learning process, as it affects students' engagement in learning, helps educators rethink the principles of the learning design and further improve…
Descriptors: Student Experience, Student Attitudes, Distance Education, COVID-19
Angelica Ronconi; Lucia Mason; Lucia Manzione; Anne Schüler – Journal of Computer Assisted Learning, 2025
Background: During digital reading on internet-connected devices, students may be exposed to a variety of on-screen distractions. Learning by reading can therefore become a fragmented experience with potentially negative consequences for reading processes and outcomes. Objectives: This study investigated the effects of on-screen distractions, as…
Descriptors: Eye Movements, Electronic Learning, Computer Uses in Education, Reading
Hewson, C. – Journal of Computer Assisted Learning, 2012
To address concerns raised regarding the use of online course-based summative assessment methods, a quasi-experimental design was implemented in which students who completed a summative assessment either online or offline were compared on performance scores when using their self-reported "preferred" or "non-preferred" modes.…
Descriptors: Summative Evaluation, Followup Studies, Validity, Student Attitudes
Brown, C.; Czerniewicz, L. – Journal of Computer Assisted Learning, 2010
This paper interrogates the currently pervasive discourse of the "net generation" finding the concept of the "digital native" especially problematic, both empirically and conceptually. We draw on a research project of South African higher education students' access to and use of Information and Communication Technologies (ICTs)…
Descriptors: Foreign Countries, College Students, Age Differences, Access to Computers
