Publication Date
In 2025 | 0 |
Since 2024 | 3 |
Descriptor
Author
Aamir Wali | 1 |
Habiba Akram | 1 |
Haridas Acharya | 1 |
Hin Long Lau | 1 |
Ka Kit Yeung | 1 |
Prafulla Bharat Bafna | 1 |
Qiuping Jin | 1 |
Raysen Cheung | 1 |
Saira Karim | 1 |
Shailaja Shirwaikar | 1 |
Shilpa Bhaskar Mujumdar | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Research | 2 |
Information Analyses | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Audience
Location
Hong Kong | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Raysen Cheung; Qiuping Jin; Ka Kit Yeung; Hin Long Lau; Wing Hong Chui – Journal of Career Development, 2024
The process model of vocational identity was well applied in various Western countries to study the vocational identity process and statuses of college students. However, such research is limited in Hong Kong. Moreover, the relation between vocational identity development and academic performance was inconclusive in the literature, and it was also…
Descriptors: Vocational Education, Self Concept, Status, Foreign Countries
Shilpa Bhaskar Mujumdar; Haridas Acharya; Shailaja Shirwaikar; Prafulla Bharat Bafna – Journal of Applied Research in Higher Education, 2024
Purpose: This paper defines and assesses student learning patterns under the influence of problem-based learning (PBL) and their classification into a reasonable minimum number of classes. Study utilizes PBL implemented in an undergraduate Statistics and Operations Research course for techno-management students at a private university in India.…
Descriptors: Problem Based Learning, Information Retrieval, Data Analysis, Pattern Recognition
Zareen Alamgir; Habiba Akram; Saira Karim; Aamir Wali – Informatics in Education, 2024
Educational data mining is widely deployed to extract valuable information and patterns from academic data. This research explores new features that can help predict the future performance of undergraduate students and identify at-risk students early on. It answers some crucial and intuitive questions that are not addressed by previous studies.…
Descriptors: Data Analysis, Information Retrieval, Content Analysis, Information Technology