Developing an Innovative Gamified AI-Powered Application to Help Computing Students Choose Their Specialization (#1028)

Authors

Facey-Shaw, Lisa

Burrell, Aaliyah

Johnston, Ramon

Brown, Timothy

Green, Rushane

Davis, Tyoni

Abstract

Selecting a specialization is a pivotal decision for computing students, as it significantly shapes their academic progression and future career prospects. However, many students struggle with this choice due to generic advising methods and a lack of personalized support. Traditional academic advising often fails to account for students’ unique interests, skills, and long-term career goals. Research shows this can lead to uncertainty and a mismatch between their academic paths and professional aspirations. This study investigated the development of a gamified artificial intelligence (AI)-powered application designed to assist second-year computing students at a Jamaican university, who select their major in that academic year. The application used AI and fact/rule-based logic to assess student competencies to deliver personalized recommendations based on student interests and goals. Gamification techniques such as interactive challenges, role-playing simulations, and feedback loops were also applied to increase engagement and motivation to enhance decision-making confidence and improve the advising experience. Prior to development, the study employed student surveys and faculty interviews to assess the platform’s potential usability and effectiveness. This novel approach to academic advising by merging gamification with engaging learning strategies aims to transform how students navigate specialization decisions in dynamic and evolving computing fields.