The Benefitsof Outcome-Based Education (OBE) on the Performance of NC-II Graduates of the Bachelor of Science in Computer Science-Ladderized Education Program
Keywords:
attributes, education, ladderized, outcome-based, performanceAbstract
The advent of a new learning culture and learning model such as an outcome-based education learning approach is adopted to reform and renew education policy worldwide. This new learning approach makes teaching and learning more challenging to the academe as stipulated in CHED Memorandum Order No. 37 s. 2012 “Policies, standards and guidelines in the establishment of an outcome-based education system in higher education”. Also, has gained prominent recognition internationally to promote education reform and policy. Hence, has been implemented in many countries such as the USA, Canada, Australia, New Zealand, Japan, Malaysia, Thailand, Indonesia, and the Philippines. In our country, the implementation of the education system is still hypothesizing the impact on the academic performance of students hence, not yet established but an optimistic stride manifests in Information Technology. Thus, the researcher got interested in the impact of the performance of students in PC hardware servicing NC II assessment. Document analysis and rating scales were used in gathering and categorization of data for the performance and attributes on the implementation of OBE respectively. Moreover, Ex Post Facto, a quantitative research design for which the researcher takes the effect/dependent variable and to examine retrospectively. It also establishes causes, relationships or associations, and their meanings, which shows cause and effect relationships were adapted. In the same way, descriptive and factor analysis was used to treat the variables of the study comprehensively. Factor’s Effect with E-value of 0.845 and percentage of 84.5 for Mentors’ Performance, for Standard of Facilities, got an E-value of 0.875 and a percentage of 87.5, and Functionality of equipment it has an E-value of 0.888 and percentage of 88.8. The equipment's functionality has the highest contributory factor as shown by the extracted value through principal component analysis. Even though, the identified attributes/factors seem to exhibit a high impact on the result of the NC II assessment. Moreover, students were exemplarily performed during the two consecutive assessments on PC hardware servicing NC II. However, among the factors identified by TESDA, equipment’s functionality prevailed over the mentor’s performance and facility’s standard. Hence, it is the most causal to the outstanding performance of the students.