Work

Development of Alakdan: An A.I. virtual assistant for Centro Escolar University processes

Year: 2025

Type: article

Abstract: This study addresses improvements in student administrative processes at Centro Escolar University (CEU)-Manila by developing and evaluating Alakdan, a mobile virtual assistant powered by Natural Language Processing (NLP). The chatbot guides students through key procedures such as admission, enrollment, scholarship applications, and diploma requests. Evaluated against the ISO/IEC 25010 software quality standards, Alakdan demonstrated high performance across seven attributes: functional suitability, performance efficiency, usability, reliability, security, maintainability, and portability. Testing revealed a low error rate (1.50%) and fallback rate (2.79%), with response times averaging 5–8 seconds. Positive user feedback underscores its effectiveness in reducing administrative burdens. This research contributes to AI applications in higher education and offers insights for future chatbot development in academic settings.

Source: World Journal of Advanced Research and Reviews

DOI: 10.30574/wjarr.2025.25.2.0389

Authors: Francis Steven Z. Dungca, Reymark M. Garduque, Ellesia Catherine P. Reyes, Grace Marjorie B. Berber, Eliza B. Ayo

Institution: Centro Escolar University

Language: English

Topic: AI in Service Interactions

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W4407857897