A Natural Language Conversational System For Online Academic Advising

Abstract

We have designed an academic advising online system to advise college students using natural language conversations. The system embeds knowledge of current and future teaching schedules, degree requirements, course prerequisites and various administrative procedures. While this information can be found by searching several university websites and catalogs, students continually ask human advisors these questions during their limited face-to-face time, which limits deeper developmental and educative advising that is only available from human advisors. Our system enhances the advising experience by offering a source for instant academic advice that does not require student training or additional human resources. The system contains a pattern-matching dialog management system with access via a web browser. We describe the motivation for our system, the design requisites, our approach for deployment, and analyze results from real-world field tests.

Department(s)

Electrical and Computer Engineering

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2025 American Association for Artificial Intelligence, All rights reserved.

Publication Date

01 Jan 2014

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