Publication: Assessment and Thematic analysis of activities of the school division of Benguet based on clustering algorithm
| dc.contributor.author | Frondarina, Gary B. | |
| dc.date.accessioned | 2025-09-05T02:53:59Z | |
| dc.date.available | 2025-09-05T02:53:59Z | |
| dc.date.issued | 2024-07 | |
| dc.description | Full text | |
| dc.description.abstract | Evaluation is a critical tool in systematically assessing the effectiveness, efficiency, and output of various projects, programs, and activities. This research delves into the essential steps in activity evaluation, emphasizing the significance of clear goal definition, meticulous data collection, rigorous analysis, and insightful interpretation. It aimed to enhance activity evaluation methodologies and practices for activities within the Schools Division of Benguet (SDO). The study developed an Assessment and Thematic Analysis system using a Clustering Algorithm for data analysis. This system processes and analyzes data from activities, providing a comprehensive overview of feedback and participants’ engagement. The study employed both descriptive and applied research designs, integrating the Cross Industry Standard Process for Data Mining (CRISP-DM) framework and the K-means clustering algorithm as the primary analysis tool. Concurrently, the Agile Kanban model was used for system development. The SDO Benguet Online Activity Evaluation System facilitates user segmentation, thematic analysis, and clustering. Rigorous testing ensured adherence to user acceptability standards, indicating the system's reliability and efficiency. Recommendations include encouraging full adoption of the online platform by program owners, providing proper ICT training and technical assistance, and implementing comprehensive monitoring and evaluation strategies. Further studies are suggested to expand assessment processes across different organizational settings, considering additional system configurations for improved outcomes. | |
| dc.identifier.citation | Frondarina, G. B. (2024). Asessment and Thematic analisys of activities of the school divission of benguet based on clustering algorithm. [Unpublished Undergraduate Thesis]. Don Mariano Marcos Memorial State University. City of San Fernando, La Union. Lakasa ti Sirib, DMMMSU Institutional Respository. | |
| dc.identifier.uri | https://lakasa.dmmmsu.edu.ph/handle/123456789/327 | |
| dc.language.iso | en | |
| dc.publisher | Don Mariano Marcos Memorial State University - Mid La Union Campus | |
| dc.sdg | SDG 9 | |
| dc.subject | SOCIAL SCIENCES::Social sciences::Education | |
| dc.title | Assessment and Thematic analysis of activities of the school division of Benguet based on clustering algorithm | |
| dc.type | Thesis | |
| dspace.entity.type | Publication |