Utilizing Hybrid Inception-Transformer Model: An Innovative Framework for Exploring University Choice Influences From Social Contributions and Stakeholder Perception

As universities become connected across the globe through a competitive and digital process, the factors affecting students' choice of university are now a primary concern. Deciding which university to attend is now influenced by a combination of personal interests, societal expectations, how outsiders perceive the school and its features. A Hybrid Inception-Transformer model is introduced here to help analyze student choices in universities while involving various stakeholders and other social measures. Surveys were given to 500 individuals made up of students, parents, faculty and administrators in both private and public schools. The model uses both types of layers to first focus on patterns near to a student and then look further for relationships between all the aspects of university choice: personal interest, career aims, family guidance, trusted influences, help from the university and what is widely expected by society. The new model achieved a very accurate result compared to logistic regression (accuracy 74.1 %) and random forest (accuracy 83.6%), attaining accuracy of 94.2%, precision of 93.4%, recall of 91.5% and F1-score of 92.4%. Attention-weighted embeddings pointed out that person's own interests and future career goals significantly predict success, while confidence in the university counselors and their support were major factors in the equation. The hybrid framework makes it possible to understand what is important in the model by examining attention and rankings of features which benefits both targeted admissions and student involvement.