Muhammad Alif Ananda, Alif (2023) FUZZY K-MEANS CLUSTERING IN TEACHER ANALYSIS TO MEASURE STUDENT ABILITY DIFFERENCES THROUGH VIAT-MAP. Diploma thesis, Jurusan Teknologi Informasi.
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Abstract
In recent years, there has been a shift towards a comprehensive approach to analyzing student abilities, considering not only their academic skills but also their social-emotional and behavioral needs. This expanded view of assessment incorporates various tools, such as observations, interviews, portfolios, and standardized tests, to gain a holistic understanding of students' capabilities. Educational Data Mining (EDM) is a field that encompasses student modeling, learning analytics, knowledge discovery, and natural language processing, aiming to improve education quality through actionable insights. Learning analytics plays a crucial role in enhancing student outcomes by identifying patterns in performance, evaluating interventions, and informing evidence-based teaching practices. Technology Enhanced Learning (TEL) provides real-time data and analytics to support teachers in monitoring student performance. However, log data alone may not provide a comprehensive understanding of student abilities, and visualization tools are essential for effectively describing individual student capabilities. To address this, the integration of the Fuzzy K-Means algorithm into the VIAT-MAP application aims to assist teachers in identifying distinct groups within the classroom based on log data analysis. The final output can be presented as a graphical representation of soft clustering, providing valuable insights into student abilities.
| Item Type: | Thesis (Diploma) |
|---|---|
| Subjects: | A Computer Science > Computer Programming A Computer Science > Information Science A Computer Science > Theory, Logic and Design A Computer Science > Applied Computer Science |
| Divisions: | Jurusan Teknologi Informasi > Teknik Informatika |
| Depositing User: | Muhammad Alif Ananda |
| Date Deposited: | 05 Apr 2024 04:29 |
| Last Modified: | 05 Apr 2024 04:29 |
| URI: | http://repota.jti.polinema.ac.id/id/eprint/924 |
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