ERIC Number: EJ1450263
Record Type: Journal
Publication Date: 2024
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0307-5079
EISSN: EISSN-1470-174X
What Impacts Matriculation Decisions? Identifying Students' University Choice Factors on a Global Scale with Artificial Intelligence
Ilker Cingillioglu
Studies in Higher Education, v49 n12 p2637-2655 2024
This study provides an empirical approach to utilizing an Artificial Intelligence (AI)-based system for identifying students' university choice factors that impact their matriculation decision. We created an AI-based chatbot that gathered both qualitative and quantitative data from nearly 1200 participants worldwide. The entire human-AI interaction process was managed autonomously by the AI without researcher intervention. We analysed all data collected by the AI and identified relevant matriculation decision factors and themes. The AI collaboration demonstrated remarkable efficacy in streamlining the research workflow by consistently adhering to predefined criteria, eliminating variations and human-induced biases, establishing rapport with participants, and amplifying not just the efficiency and scalability of data collection but also the reliability and generalizability of the research findings. Acquiring such insights into students' university choice factors from such a diversified and large sample may potentially empower policymakers to make informed decisions that synch higher education policies with students' preferences, expectations, and needs, ultimately aiding institutions to improve recruitment and retention strategies leading to better overall performance and outcomes for both students and the institution itself. From an economic perspective, gaining this insight can foster closer alignment between higher education and the job market. By understanding students' aspirations and the influences driving their decisions, institutions can tailor programmes that not only enhance graduates' job prospects but also proactively contribute to economic growth and the development of a highly skilled and committed workforce.
Descriptors: Admission (School), Decision Making, Student Attitudes, College Choice, Universities, Selection Criteria, Artificial Intelligence, Influence of Technology, College Students, Man Machine Systems, Natural Language Processing, Foreign Countries, College Bound Students, College Environment, Student Experience, Learning Experience, Classroom Environment
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education; High Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: United Kingdom; United States; Africa; Europe; Australia; New Zealand; Asia; Canada; South America
Grant or Contract Numbers: N/A