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) | 4 |
Descriptor
College Students | 4 |
Foreign Countries | 4 |
Student Attitudes | 3 |
Academic Achievement | 1 |
Anxiety | 1 |
Artificial Intelligence | 1 |
Automation | 1 |
Cheating | 1 |
Cognitive Processes | 1 |
Computer Assisted Testing | 1 |
Computer Simulation | 1 |
More ▼ |
Source
Journal of Computer Assisted… | 4 |
Author
Detlef Urhahne | 1 |
Di Mitri, Daniele | 1 |
Drachsler, Hendrik | 1 |
Elisabeth Bauer | 1 |
Frank Fischer | 1 |
Frank Niklas | 1 |
Gaševic, Dragan | 1 |
Jan Kiesewetter | 1 |
Jan M. Zottmann | 1 |
Jivet, Ioana | 1 |
Kai Kaspar | 1 |
More ▼ |
Publication Type
Journal Articles | 4 |
Reports - Research | 4 |
Education Level
Higher Education | 4 |
Postsecondary Education | 4 |
Audience
Location
Germany | 4 |
Europe | 1 |
Netherlands | 1 |
Spain | 1 |
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Wollny, Sebastian; Di Mitri, Daniele; Jivet, Ioana; Muñoz-Merino, Pedro; Scheffel, Maren; Schneider, Jan; Tsai, Yi-Shan; Whitelock-Wainwright, Alexander; Gaševic, Dragan; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2023
Background: Learning Analytics (LA) is an emerging field concerned with measuring, collecting, and analysing data about learners and their contexts to gain insights into learning processes. As the technology of Learning Analytics is evolving, many systems are being implemented. In this context, it is essential to understand stakeholders'…
Descriptors: Foreign Countries, College Students, Learning Analytics, Expectation
Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
Marco Rüth; Maria Jansen; Kai Kaspar – Journal of Computer Assisted Learning, 2024
Background: Online exams have become a more common form of assessment at universities due to the COVID-19 pandemic. However, cheating behaviour in online exams is widespread and threatens exam validity as well as student learning and well-being. Objective: To better understand the role of university students' needs, conceptions and reasons…
Descriptors: Foreign Countries, College Students, Computer Assisted Testing, Cheating
Luciana Maria Cavichioli Gomes Almeida; Stefan Münzer; Tim Kühl – Journal of Computer Assisted Learning, 2024
Background: According to the personalization effect in multimedia learning, the use of personal and possessive pronouns in instructional materials (e.g., 'you' and 'your') is beneficial. However, current research suggests that the personalization effect is inverted for emotionally aversive content (e.g., illnesses). Objective: This study…
Descriptors: Foreign Countries, Health Education, Health Promotion, Information Sources