Keywords
academic predictor
decision support system
student management
secondary education
software quality standards
How to Cite
Abstract
This research investigates the efficacy of an Academic Predictor with a Decision Support System (APDSS) in optimizing student management and academic planning in a secondary school setting. The study focuses on incoming Grade 11 students, comprising 10 sections in TVL, 3 sections in HUMSS, and 2 sections in STEM, with 20 selected students per section participating. Demographic profiles, including General Weighted Average (GWA), Science grade, Math grade, and Career test results, were analyzed using frequency and percentage scores. Additionally, the study evaluates the extent of compliance of the developed system with ISO 25010:2011 Software Quality Standards, assessed by IT experts and users. Results indicate that the APDSS demonstrates a high degree of compliance with software quality standards, particularly in functionality, performance efficiency, compatibility, reliability, security, maintainability, and portability. Challenges faced in academic contexts, both before and after implementation, are identified through frequency and percentage distributions among faculty and students. The pre-implementation challenges include workload management, communication gaps, career guidance inconsistencies, and manual tracking of student progress, while the post-implementation challenges encompass strategic alignment, resource allocation, data integrity, privacy compliance, communication, training, leadership, data transparency, administrative processes, information access, academic planning, and student engagement. Despite challenges during implementation, students appreciate the APDSS for its quick access to academic information, assistance in course selection and career planning, and modernization of administrative processes. Thus, the APDSS shows promise in enhancing academic engagement and efficiency among students, highlighting its potential to streamline academic processes and improve outcomes.References
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