Concurrent Session #1: Enhancing Learning Flexibility and Excellence through Guided Interaction with ChatGPT-Based Bots in Higher Education

Alternative Title

Enhancing Learning Flexibility and Excellence through Guided Interaction with ChatGPT-Based Bots in Higher Education

Contributor

University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2023 : Orlando, Fla.)

Location

Key West B

Start Date

24-9-2023 10:30 AM

End Date

24-9-2023 10:45 AM

Publisher

University of Central Florida Libraries

Keywords:

ChatGPT; Personalized learning; Higher education; Guided interaction; Bloom's taxonomy

Subjects

Learning and scholarship--Technological innovations; Artificial intelligence--Educational applications; Education, Higher--Technological innovations; Intelligent tutoring systems; Blended learning

Description

This session will present a novel approach in higher education to promote learning flexibility and excellence while overcoming resource constraints. By utilizing ChatGPT-based bots trained for specific chapter content, guided interaction enables students to engage with personalized topics, meeting minimum standards and exploring higher levels of understanding. Our method addresses Bloom’s 2 sigma problem by providing individualized instruction within limited resources, empowering students, and enhancing learning outcomes. The design, implementation, and evaluation of this ChatGPT-based learning approach demonstrate promising results in bridging the gap between personalized instruction and conventional classroom settings.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Administrators, Faculty, Instructional designers

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Sep 24th, 10:30 AM Sep 24th, 10:45 AM

Concurrent Session #1: Enhancing Learning Flexibility and Excellence through Guided Interaction with ChatGPT-Based Bots in Higher Education

Key West B

This session will present a novel approach in higher education to promote learning flexibility and excellence while overcoming resource constraints. By utilizing ChatGPT-based bots trained for specific chapter content, guided interaction enables students to engage with personalized topics, meeting minimum standards and exploring higher levels of understanding. Our method addresses Bloom’s 2 sigma problem by providing individualized instruction within limited resources, empowering students, and enhancing learning outcomes. The design, implementation, and evaluation of this ChatGPT-based learning approach demonstrate promising results in bridging the gap between personalized instruction and conventional classroom settings.