The Development and Evaluation of a Certification Reviewer-Based System Using a Technology Acceptance Model

• Main Authors: Magcuyao, Juan Paulo H., Lagman, Ace C., De Angel, Roman M.
• Format: Conference Proceeding
• Language: English
• Subjects: Certification; Evaluation; Humanoid robots; Industries; Information technology; Learning; Oral communication; Reviewer; System Based-Technology; Technology acceptance model; Text analysis
• ISSN: 2770-0682
• DOI: 10.1109/HNICEM57413.2022.10109575

Getting a certification is one of the most complicated academic journeys for students in the world of technology. Industry certification has evolved into a distinct worldwide industry. The certification is an examination to evaluate students' technical knowledge and competency in their chosen areas. Students and recent graduates pursue certification because it gives them an advantage in the job market and allows them to concentrate on relevant, meaningful, and in-demand computing subjects. Giving students the best academic support is essential to help them pass a certification exam evaluating their knowledge in courses. The goal of this study was to create a certification reviewer-based system that would let the reviewee provide a platform for review so that appropriate academic interventions could be automatically given before the examination process. The paper has applied the Technology Acceptance Model (TAM) to various information systems. The paper used the Rapid Application Development Model to develop the reviewer-based system. Document analysis, survey questions, and focus group conversations were used to gather the data. The validated survey questionnaire was administered to students, instructors, and practitioners during the School Year 2021-2022. The three groups of respondents were purposively selected as they complied with the requirements of the study. The data was analyzed quantitatively using the frequency distribution, weighted mean, and one-way variance analysis of variance.