Analyzing Pangasinan State University Student’s FacultyTeaching Performance Rating Using Text Mining Technique
| Autor: | Bobby F. Roaring, Frederick F. Patacsil, Jennifer M. Parrone |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS. 19:161-170 |
| ISSN: | 2224-3402 1790-0832 |
| Popis: | The study tried to analyze the relationship of the numerical value of the faculty performance rating and the actual observations, opinions, feelings, and description of the students towards the performance of the observed faculty members using text analytics. The result reveals that students describe faculty members with a rating of 1 with negative words. Faculty members with rating 2 were described by the students using neutral words/word patterns. In the case of faculty members with rating 3, positive word/word pattern “good” was used by the students to describe the performance of the faculty members. The results revealed that if a faculty members was evaluated and rated 4 and 5 the descriptions are positive observations / comments from the student respondents. The results reveal not only the quantitative values of faculty evaluation it also exposed the qualitative description of the students in the performance of their faculty members. This study brings out significant aspects of the teaching performance of the faculty members of Pangasinan State University. The results can be used for coaching and mentoring by university and campus heads to their faculty members in terms of their weaknesses. Moreover, the results can be utilized by Pangasinan State University to evaluate the teaching performance of their faculty members based on the comments or opinions of the students. |
| Databáze: | OpenAIRE |
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