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Leveraging Generative Artificial Intelligence to Improve Motivation and Retrieval in Higher Education Learners
Noahlana Monzon1, Franklin Alan Hays1
1Department of Nutritional Sciences, University of Oklahoma Health Sciences, 1200 N Stonewall Ave, 3064 Allied Health Building, Oklahoma City, OK, 73117, United States, 1 405 2718001 ext 41182.
Generative artificial intelligence (GenAI) can improve education by enhancing motivation and tailoring learning for students and instructors. Responsible use of GenAI in curriculum development and feedback promises to revolutionize educational practices across all levels.
Area of Science:
- Educational Technology
- Artificial Intelligence in Education
- Curriculum Development
Background:
- Generative artificial intelligence (GenAI) offers new pedagogical tools for learners and instructors.
- While academic misconduct is a concern, GenAI can be leveraged to improve educational outcomes.
- Existing educational frameworks can be enhanced through GenAI for better learning and teaching.
Purpose of the Study:
- To explore the potential of GenAI in structuring curricula and improving educational outcomes.
- To identify how GenAI can benefit both learners (e.g., self-directed learning, engagement) and instructors (e.g., course design, feedback).
- To address the challenges and ethical considerations associated with GenAI integration in education.
Main Methods:
- Leveraging GenAI for innovative instructional designs like flipped classrooms and gamification.
- Utilizing GenAI for personalized learner feedback and outcome evaluation.
- Analyzing the impact of GenAI on learner autonomy, motivation, and knowledge retention.
Main Results:
- GenAI facilitates enhanced self-directed learning, cognitive engagement, and effective retrieval for learners.
- Instructors benefit from reduced time in evaluation and personalized feedback capabilities.
- GenAI enables innovative teaching methodologies and team-based exercise development.
Conclusions:
- Responsible GenAI application can revolutionize educational practices, making learning more accessible and personalized.
- Positive motivational outcomes are achievable for both learners and instructors.
- GenAI integration holds significant potential to improve educational outcomes from primary through higher education.
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