Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
A Novel Hybrid Multi-Criteria Decision and Data Mining Framework for Educational Intelligence Systems. |
| Συγγραφείς: |
Octaria, Orissa, Manongga, Danny, Sembiring, Irwan |
| Πηγή: |
Engineering, Technology & Applied Science Research; Jun2026, Vol. 16 Issue 3, p36608-36616, 9p |
| Θεματικοί όροι: |
Analytic hierarchy process, Data mining, Classification, Student exchange programs, Clustering algorithms, Higher education, Learning analytics, Multiple criteria decision making |
| Περίληψη: |
Although student exchange programs provide substantial advantages, a large number of university students are still unaware that such opportunities exist. This study addresses this gap by proposing a hybrid Educational Intelligence System (EIS), which is a data-driven decision-support framework that integrates Multi-Criteria Decision Analysis (MCDA) with data mining techniques. Specifically, the Analytical Hierarchy Process (AHP) is adopted as the MCDA method. Using AHP, the relative significance of each criterion influencing student awareness is determined. Concurrently, data mining methods, namely, clustering and classification are employed to reveal underlying patterns within student data. Clustering serves to categorize students according to their comprehension level of exchange programs, whereas Decision Tree-based classification pinpoints the dominant factors that shape student awareness. A total of 446 students from diverse higher education institutions participated in the study by completing a structured questionnaire. The clustering analysis reveals that 47.31% of respondents have a general familiarity with exchange programs yet lack detailed knowledge of specific requirements, whereas 30.94% exhibit an overall limited awareness. Based on these findings, promotional strategies for exchange programs should be differentiated according to students' academic progression. Moreover, the data-driven framework introduced in this study holds potential for broader application across various educational settings to strengthen the impact of academic initiatives. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |