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Author/Affiliation: Zoltan IllesOpen AccessArticle
8 Pages, 962 KB 
Student’s Belief Detection and Segmentation for Real-Time: A Case Study of Indian University
Abstract:
This paper has explored the technology beliefs of university students considering four parameters. We have proposed an automatic belief identification system for academic institutions. For this, we used two different clustering algorithms to segment the student group with different beliefs about the technology. In the Hierarchical Clustering (HC), the Agglomerative approach was followed. The beliefs…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))