A Design for Developing an Interactive Academic Student Advising System using Smart Personal Assistant Platform

Abstract

In recent years, there has been a significant surge of interest among researchers and software developers in incorporating smart personal assistant (SPA) technology into higher education institutions as a means of enhancing communication between faculty and students. SPA applications have been recognized as effective tools in facilitating self-directed learning among students. However, previous studies have highlighted students' dissatisfaction with the current advising process due to high student-to-advisor ratios, limited interaction opportunities, and slow response times from advisors. In light of these challenges, the primary aim of this study is to design an interactive academic student advising system using Alexa, guided by the ICAP framework. The ICAP framework serves as a blueprint for constructing a system with interactive functionalities that cater to the needs of students and faculty. Finally, this paper concludes by addressing the potential challenges that may arise during the development phase and highlighting future research directions of this research.