Publication Date
| In 2025 | 1 |
| Since 2024 | 3 |
| Since 2021 (last 5 years) | 3 |
| Since 2016 (last 10 years) | 4 |
| Since 2006 (last 20 years) | 4 |
Descriptor
Source
| Assessment & Evaluation in… | 1 |
| Australasian Journal of… | 1 |
| International Educational… | 1 |
| International Journal of… | 1 |
Author
| Barnes, Tiffany, Ed. | 1 |
| Haili Ling | 1 |
| Hershkovitz, Arnon, Ed. | 1 |
| Hu, Xiangen, Ed. | 1 |
| Huijuan Fu | 1 |
| Jie Chen | 1 |
| Jue Wang | 1 |
| Kumaran Rajaram | 1 |
| Longhai Xiao | 1 |
| Mingyue Gu | 1 |
| Mingzhu Yuan | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Collected Works - Proceedings | 1 |
| Information Analyses | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| Early Childhood Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| China | 4 |
| Australia | 1 |
| Canada | 1 |
| Finland | 1 |
| Malaysia | 1 |
| Netherlands | 1 |
| Saudi Arabia | 1 |
| Singapore | 1 |
| Spain | 1 |
| Sweden | 1 |
| Taiwan | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkRui Wang; Haili Ling; Jie Chen; Huijuan Fu – International Journal of Distance Education Technologies, 2025
This study adopted the Latent Dirichlet Allocation (LDA) to extract learners' needs based on 70,145 reviews from online course designed for software design and development in China and then applied Quality Function Deployment (QFD) to map learners' differentiated needs into quality attributes. Taking national first-class courses as the…
Descriptors: Educational Improvement, Student Needs, Computer Science Education, Foreign Countries
Xiaojing Weng; Qi Xia; Mingyue Gu; Kumaran Rajaram; Thomas K. F. Chiu – Australasian Journal of Educational Technology, 2024
Generative artificial intelligence (GenAI) impacts higher education assessment and learning outcomes, which are closely related and intertwined. Literature suggests that educators and researchers have many varied concerns regarding student assessment in the higher education GenAI context, such as how to assess students' learning and the new…
Descriptors: Evaluation Methods, Outcomes of Education, Artificial Intelligence, Natural Language Processing
Qi Lu; Yuan Yao; Longhai Xiao; Mingzhu Yuan; Jue Wang; Xinhua Zhu – Assessment & Evaluation in Higher Education, 2024
The integration of ChatGPT as a supplementary tool for writing instruction has gained traction. However, uncertainties persist regarding how ChatGPT complements teacher assessment and the overall effectiveness of this combined approach. To address this, we conducted a mixed-methods investigation involving 46 undergraduate students from a research…
Descriptors: Artificial Intelligence, Educational Technology, Natural Language Processing, Student Evaluation
Download full textHu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
