Journal article
Platform-independent and curriculum-oriented intelligent assistant for higher education
International Journal of Educational Technology in Higher Education, Vol.20(1), 42
12/01/2023
DOI: 10.1186/s41239-023-00412-7
Appears in Diamond Open Access
Abstract
Miscommunication between instructors and students is a significant obstacle to post-secondary learning. Students may skip office hours due to insecurities or scheduling conflicts, which can lead to missed opportunities for questions. To support self-paced learning and encourage creative thinking skills, academic institutions must redefine their approach to education by offering flexible educational pathways that recognize continuous learning. To this end, we developed an AI-augmented intelligent educational assistance framework based on a powerful language model (i.e., GPT-3) that automatically generates course-specific intelligent assistants regardless of discipline or academic level. The virtual intelligent teaching assistant (TA) system, which is at the core of our framework, serves as a voice-enabled helper capable of answering a wide range of course-specific questions, from curriculum to logistics and course policies. By providing students with easy access to this information, the virtual TA can help to improve engagement and reduce barriers to learning. At the same time, it can also help to reduce the logistical workload for instructors and TAs, freeing up their time to focus on other aspects of teaching and supporting students. Its GPT-3-based knowledge discovery component and the generalized system architecture are presented accompanied by a methodical evaluation of the system’s accuracy and performance.
Details
- Title: Subtitle
- Platform-independent and curriculum-oriented intelligent assistant for higher education
- Creators
- Ramteja Sajja - Department of Electrical Computer Engineering, University of Iowa, IIHR Hydroscience and Engineering, University of IowaYusuf Sermet - University of IowaDavid Cwiertny - Department of Civil and Environmental Engineering, University of Iowa, IIHR Hydroscience and Engineering, University of Iowa, Department of Chemistry, University of Iowa, Center for Health Effects of Environmental Contamination, University of IowaIbrahim Demir - Department of Electrical Computer Engineering, University of Iowa, Department of Civil and Environmental Engineering, University of Iowa, IIHR Hydroscience and Engineering, University of Iowa
- Resource Type
- Journal article
- Publication Details
- International Journal of Educational Technology in Higher Education, Vol.20(1), 42
- DOI
- 10.1186/s41239-023-00412-7
- eISSN
- 2365-9440
- Publisher
- Springer International Publishing
- Grant note
- 2137891; 2230710 / National Science Foundation (http://dx.doi.org/10.13039/100000001)
- Language
- English
- Date published
- 12/01/2023
- Academic Unit
- Electrical and Computer Engineering; Center for Health Effects of Environmental Contamination; Civil and Environmental Engineering; IIHR--Hydroscience and Engineering; Injury Prevention Research Center; Public Policy Center (Archive); Chemistry; Chemical and Biochemical Engineering
- Record Identifier
- 9984446291102771
Metrics
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