Title: Data Analysis of Employability of Tesda Scholars Graduates Using Web Data Scrapping Technique
Authors: Kathrine R. Angeles, MSIT, Mary Ann G Valentino,Ph.D, MIT, Rosemarie S. Guirre,DIT
Volume: 7
Issue: 8
Pages: 202-203
Publication Date: 2023/08/28
Abstract:
The study aims to evaluate and track the employability of TESDA scholar graduates at the TESDA-KORPHIL. This study employs web scraping techniques to collect and analyze employment data, investigating the effectiveness of TESDA scholarship programs. Employment-related information from diverse online sources is extracted creating a comprehensive dataset including job titles, employers, industries, and locations of TESDA scholar graduates. A representative sample is selected based on graduation year, vocational field, and location with stratification ensuring representation across industries and regions. The study contributes to the discourse on technical vocational education's impact and TESDA's role in workforce development. The insights garnered can inform policymakers and educational institutions, enhancing program design for improved socioeconomic development. The study acknowledges data limitations and biases in web scraping, maintaining a balanced perspective on the results.