Content area

Abstract

As the artificial intelligence (AI) field advances, more research areas within AI are emerging including machine learning, neural networks, fuzzy systems, and much more. In the last decade, chatbot technology has emerged as a new area of AI. Chatbot use-cases are surfacing across various sectors including banking, customer services, medicine, and e-commerce. Recently, chatbots have begun being used in education, and the potential advantages are notable. In this paper, we are reviewing related literature and presenting a mobile application system, named Alpha, that utilizes chatbots as smart teaching assistants. The system consists of an artificially intelligent (smart) chatbot, cloud-based database, speech recognition, and web services. We conducted a student survey and a usability assessment of the implemented system. We have integrated our system into a first-year engineering course, and more courses will be added in the future. The system aims to support students' learning processes and engagement in addition to providing real-time 24/7 assistance to students.

Details

Business indexing term
Title
Using Chatbots as Smart Teaching Assistants for First-Year Engineering Students
Source details
Conference: 2020 First-Year Engineering Experience; Location: East Lansing, Michigan; Start Date: July 26, 2020; End Date: July 28, 2020
Publication year
2020
Publication date
Jul 26, 2020
Publisher
American Society for Engineering Education-ASEE
Place of publication
Atlanta
Country of publication
United States
Source type
Conference Paper
Language of publication
English
Document type
Conference Proceedings
Publication history
 
 
Online publication date
2020-07-17
Publication history
 
 
   First posting date
17 Jul 2020
ProQuest document ID
2427192601
Document URL
https://www.proquest.com/conference-papers-proceedings/using-chatbots-as-smart-teaching-assistants-first/docview/2427192601/se-2?accountid=208611
Copyright
© 2020. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://peer.asee.org/about .
Last updated
2025-11-14
Database
ProQuest One Academic