Journal article
Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education
Information (Basel), Vol.15(10), 596
09/30/2024
DOI: 10.3390/info15100596
Abstract
This paper presents a novel framework, artificial intelligence-enabled intelligent assistant (AIIA), for personalized and adaptive learning in higher education. The AIIA system leverages advanced AI and natural language processing (NLP) techniques to create an interactive and engaging learning platform. This platform is engineered to reduce cognitive load on learners by providing easy access to information, facilitating knowledge assessment, and delivering personalized learning support tailored to individual needs and learning styles. The AIIA’s capabilities include understanding and responding to student inquiries, generating quizzes and flashcards, and offering personalized learning pathways. The research findings have the potential to significantly impact the design, implementation, and evaluation of AI-enabled virtual teaching assistants (VTAs) in higher education, informing the development of innovative educational tools that can enhance student learning outcomes, engagement, and satisfaction. The paper presents the methodology, system architecture, intelligent services, and integration with learning management systems (LMSs) while discussing the challenges, limitations, and future directions for the development of AI-enabled intelligent assistants in education.
Details
- Title: Subtitle
- Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education
- Creators
- Ramteja Sajja - University of IowaYusuf Sermet - University of IowaMuhammed Cikmaz - University of IowaDavid Cwiertny - University of Iowa, Center for Health Effects of Environmental ContaminationIbrahim Demir - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Information (Basel), Vol.15(10), 596
- DOI
- 10.3390/info15100596
- ISSN
- 2078-2489
- eISSN
- 2078-2489
- Publisher
- MDPI
- Grant note
- National Oceanic I& Atmospheric Administration (NOAA)National Science Foundation (NSF): 2230710
Funding for this project was provided by the National Oceanic I& Atmospheric Administration (NOAA), awarded to the Cooperative Institute for Research to Operations in Hydrology (CIROH) through the NOAA Cooperative Agreement with The University of Alabama (NA22NWS4320003) and the National Science Foundation (NSF) under grant number 2230710.
- Language
- English
- Date published
- 09/30/2024
- 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; Chemistry; Chemical and Biochemical Engineering
- Record Identifier
- 9984721249302771
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