Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Algorithms | 1 |
| Artificial Intelligence | 1 |
| College Students | 1 |
| Engineering Education | 1 |
| Grouping (Instructional… | 1 |
| Student Interests | 1 |
Source
| Education and Information… | 1 |
Author
| Biswarup Neogi | 1 |
| Linkon Chowdhury | 1 |
| Md. Sarwar Kamal | 1 |
| Nilanjan Dey | 1 |
| Robert Simon Sherratt | 1 |
| Sourajit Ghosh | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkSourajit Ghosh; Md. Sarwar Kamal; Linkon Chowdhury; Biswarup Neogi; Nilanjan Dey; Robert Simon Sherratt – Education and Information Technologies, 2024
Students are the future of a nation. Personalizing student interests in higher education courses is one of the biggest challenges in higher education. Various AI and ML approaches have been used to study student behaviour. Existing AI and ML algorithms are used to identify features for various fields, such as behavioural analysis, economic…
Descriptors: Engineering Education, Artificial Intelligence, College Students, Student Interests
