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Creating and Implementing a Custom Chatbot in Engineering Education

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Conference

2023 ASEE Annual Conference & Exposition

Location

Baltimore , Maryland

Publication Date

June 25, 2023

Start Date

June 25, 2023

End Date

June 28, 2023

Conference Session

The Best of Computers in Education

Tagged Division

Computers in Education Division (COED)

Page Count

12

DOI

10.18260/1-2--42801

Permanent URL

https://peer.asee.org/42801

Download Count

165

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Paper Authors

biography

Shameel Abdulla Texas A&M University, Qatar

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Shameel Abdulla is currently working as a Technical Laboratory Coordinator in the Mechanical Engineering Program at Texas A&M University at Qatar. He joined the MEEN program in December 2012. He is responsible for coordinating experiments in the Controls and Measurements labs. Shameel’s professional interests include Product Design, Control System Design, and Mechatronics. He is a former student at Texas A&M University at Qatar.

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Yasser M. Al Hamidi Texas A&M University, Qatar

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Dr. Al-Hamidi holds a Ph. D. degree in Mechatronics from the University of Bourgogne Franche-Comté (UBFC), France, and currently working as the Mechanical Engineering Laboratories Manager at Texas A&M University at Qatar. He joined Texas A&M University at Qatar in 2007 coming from University of Sharjah. Dr. Al-Hamidi had been appointed as a visiting lecturer in 2018 to teach design related courses in the mechanical engineering program. He specializes in product design, instrumentation, controls, and automation. Dr. Al-Hamidi founded the Engineering Enrichment Program in 2016, which is currently one of the Center for Teaching and Learning pillars. He received three Transformative Engineering Education grants related to multidisciplinary education in 2018, 2021 and 2022. In 2021 Dr. Al-Hamidi received the Dean’s Achievement Award to recognize his contribution to the campus within that year. In 2015 he received the Association of Former Students AFS Distinguished Achievement Award as a recognition for his commitment, performance and positive impact on Aggie students. And in 2010, he received the STAR award as a recognition for his outstanding service and achievement at Texas A&M at Qatar.

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Marwan Khraisheh Texas A&M University, Qatar

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Professor and Chair of the Mechanical Engineering Program at Texas A&M University at Qatar.

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Abstract

This paper investigates the development and use of a chatbot in an engineering curriculum. The chatbot helps students find course materials, answer general inquiries, schedule meetings with professors and teaching assistants, and much more. Students require academic and administrative assistance in their journey as undergraduates at universities. College life is stressful, and tasks such as keeping track of deadlines, scheduling meetings, and finding resources become daunting as the semester progresses. The constant email exchanges about general course information could also become tedious for the course instructors. The authors developed a chatbot to address these difficulties using The Microsoft Power Virtual Agents App (MS PVA). MS PVA was selected as the platform since it requires minimal coding. It is a graphical programming environment that requires configuring and connecting nodes. The development stages need to be well planned. Some items to consider are setting up a hierarchical system to store information that the chatbot needs to retrieve, and creating a shared department email address to send and receive meeting requests. The chatbot was designed to handle all repetitive tasks, thus freeing the instructors time for answering more meaningful questions. The chatbot also promotes self-learning as it allows the student to ask questions beyond office hours and get a response. The chatbot developed is set up to source information from existing databases of deadlines, file directories, questions, and answers. Hence, it does not require reprogramming for a new course. The instructor needs to tabulate all necessary information in a predetermined location. Future variations of the chatbot will help students with coursework by providing them with practice problems when prompted. It will assist them further by giving instant feedback on their responses. Thus, students will get to practice and prepare for a course as they see fit. Since this process will be automated and randomized, the chatbot will never run out of problems. The chatbot will record any question that it is unable to answer. The instructors can further develop the chatbot's repository to answer those questions. The chatbot's impact on the student's university experience is measured in a class by conducting class surveys among the students. The authors have planned a pilot study of the chatbot and its implementation for a course in Spring 2023. Results will be reported in the final paper.

Abdulla, S., & Al Hamidi, Y. M., & Khraisheh, M. (2023, June), Creating and Implementing a Custom Chatbot in Engineering Education Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--42801

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