Enhancing Competence in Vocational Education and Training: A Comprehensive Analysis of Pre and Post-Test Scores Using Scatterplot and Stacked Bar Chart Methodologies

R Ravichandran; Preeti Dixit

doi:10.12928/joves.v8i1.9673

Authors

R Ravichandran PSS Central Institute of Vocational Education (NCERT)
Preeti Dixit PSS Central Institute of Vocational Education (NCERT)

DOI:

https://doi.org/10.12928/joves.v8i1.9673

Keywords:

Competence, Vocational Education and Training, Scatterplot, Stacked Bar Chart

Abstract

This study examines the impact of a targeted teacher training program designed for Grades 6-8 educators on the implementation of vocational education as per the National Curriculum Framework for School Education 2023. Using a pre-test and post-test design, we quantitatively assessed participants' awareness and understanding of vocational education principles. Results demonstrated a 25% increase in average post-test scores, with variability in learning outcomes across different educational backgrounds and teaching experience levels. Visual data analysis, including scatterplots and stacked bar charts, was employed to assess score distribution and highlight learning gaps. The scatterplot analysis revealed distinct clusters, indicating diverse levels of prior knowledge, while stacked bar charts illustrated comparative improvements within subgroups, allowing for an in-depth understanding of knowledge acquisition patterns. These findings underscore the importance of differentiated training strategies tailored to teachers' initial competency levels. Beyond this program, our results suggest that tailored, data-informed training can enhance vocational education outcomes in broader educational contexts, guiding similar initiatives to optimize educator preparedness and engagement. This approach offers valuable insights for designing effective teacher training frameworks in diverse educational settings.

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