Title

UniBud: A Virtual Academic Adviser

Document Type

Conference Proceeding

Source of Publication

Proceedings - 2020 12th Annual Undergraduate Research Conference on Applied Computing, URC 2020

Publication Date

4-1-2020

Abstract

© 2020 IEEE. Academic advising is a challenging and time-consuming task. It requires well-trained dedicated professionals who give one-on-one consultations with students. While this approach is somewhat successful. In practice, advisers spend much time repeatedly answering questions that can be efficiently learned by an intelligent system. There have been several attempts to automate academic advising by means of expert systems and chatbots. However, functionality has been prioritized over usability. In response, we contribute, UniBud, a virtual academic adviser which is designed with usability principles in mind. UniBud uses DialogFlow, a natural language understanding platform, to build voice-based interactions with students. The interactions allow students to inquire about course information, enrollment, and other general enquiries. UniBud is not meant to replace traditional academic advising. Instead, it will support a limited set of academic enquiries that can relieve human academic advisers to assist students with more involving enquiries. We plan to test the usability of the system and collect feedback from potential users.

ISBN

9781728197890

Publisher

Institute of Electrical and Electronics Engineers Inc.

Disciplines

Computer Sciences | Education

Keywords

natural language processing, user experience, voice-based interaction

Scopus ID

85086719272

Indexed in Scopus

yes

Open Access

no

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