Design and Evaluation of an AI-Powered Chatbot for ERP-Based Student Services in Higher Education
Higher education institutions are increasingly exploring conversational AI to enhance student services, especially in STEM programs where timely support is crucial. This paper presents the design and evaluation of a practical AI-powered chatbot prototype that assists with essential student service f...
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| Vydané v: | 2025 10th International STEM Education Conference (iSTEM-Ed) s. 1 - 6 |
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30.07.2025
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| Abstract | Higher education institutions are increasingly exploring conversational AI to enhance student services, especially in STEM programs where timely support is crucial. This paper presents the design and evaluation of a practical AI-powered chatbot prototype that assists with essential student service functions by accessing ERP-style data. The proposed chatbot leverages natural language processing (NLP) to handle queries related to admissions, course management, and academic advising, providing instant, and round-the-clock conversational support. A prototype was developed in Python and evaluated on key metrics: query resolution accuracy, system response time, task completion rate, and satisfaction score. To provide interpretable and institution-friendly automation, we adopted a rule-based approach using keyword recognition. This study utilized a stimulated data set of 100 student records, and chatbot was tested across 50 queries. The chatbot achieved an accuracy rate of 100 \%, a 0.001 second average response time, and an 100 \% task completion rate, outperforming traditional support systems (80 \% accuracy, 45-second response time). The results show that stimulated user satisfaction reached 4.5/5, indicating measurable enhancement in the student engagement and satisfaction. These results demonstrate that an ERP-integrated chatbot can significantly benefit STEM education by providing on-demand, tailored assistance, reducing staff workload, and supporting the modernization of academic service delivery |
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| AbstractList | Higher education institutions are increasingly exploring conversational AI to enhance student services, especially in STEM programs where timely support is crucial. This paper presents the design and evaluation of a practical AI-powered chatbot prototype that assists with essential student service functions by accessing ERP-style data. The proposed chatbot leverages natural language processing (NLP) to handle queries related to admissions, course management, and academic advising, providing instant, and round-the-clock conversational support. A prototype was developed in Python and evaluated on key metrics: query resolution accuracy, system response time, task completion rate, and satisfaction score. To provide interpretable and institution-friendly automation, we adopted a rule-based approach using keyword recognition. This study utilized a stimulated data set of 100 student records, and chatbot was tested across 50 queries. The chatbot achieved an accuracy rate of 100 \%, a 0.001 second average response time, and an 100 \% task completion rate, outperforming traditional support systems (80 \% accuracy, 45-second response time). The results show that stimulated user satisfaction reached 4.5/5, indicating measurable enhancement in the student engagement and satisfaction. These results demonstrate that an ERP-integrated chatbot can significantly benefit STEM education by providing on-demand, tailored assistance, reducing staff workload, and supporting the modernization of academic service delivery |
| Author | Chimpiri, Tirumala Rao |
| Author_xml | – sequence: 1 givenname: Tirumala Rao surname: Chimpiri fullname: Chimpiri, Tirumala Rao email: tiru.chimpiri@gmail.com organization: Independent Researcher,NY,USA |
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| PublicationTitle | 2025 10th International STEM Education Conference (iSTEM-Ed) |
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| Snippet | Higher education institutions are increasingly exploring conversational AI to enhance student services, especially in STEM programs where timely support is... |
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| SubjectTerms | Accuracy AI-ERP Integration Automation Chatbot Architecture Chatbots Conversational AI Digital Transformation in Higher Education Education Enterprise Resource Planning (ERP) Information retrieval Logic Measurement Prototypes Python STEM Education Support Student Services Automation Time factors |
| Title | Design and Evaluation of an AI-Powered Chatbot for ERP-Based Student Services in Higher Education |
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