Cross-Disciplinary Strategies for Supporting Student Learning with Text-Based GenAI

Alternative Title

Cross-Disciplinary Strategies for Supporting Student Learning with Text-Based Generative Artificial Intelligence (GenAI)

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 (2024 : Orlando, Fla.)

Location

Seminole B

Start Date

24-7-2024 10:15 AM

End Date

24-7-2024 10:45 AM

Publisher

University of Central Florida Libraries

Keywords:

Text-based AI; Student engagement; Reflective analysis; Cross-disciplinary learning; Interactive study tools

Subjects

Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching; Learning--Research; Teaching teams--Research; Creative teaching--Research

Description

During fall 2023, a research team at the UK's teaching center conducted a 14-week exploration of the capacities of four text-based GenAI tools to support student learning across six disciplines. The study emphasized repeated prompting, pushing back, and re-prompting of the bots, as well as student reflection on the process. This session presents findings on GenAI's effectiveness as a dynamic, interactive study tool. Qualitative and reflective analysis of the data reveals strategies for effectively engaging students with these tools and highlights the importance of coaching students to be curious and critical in leveraging AI for their own learning.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty, Students, Instructional designers

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Jul 24th, 10:15 AM Jul 24th, 10:45 AM

Cross-Disciplinary Strategies for Supporting Student Learning with Text-Based GenAI

Seminole B

During fall 2023, a research team at the UK's teaching center conducted a 14-week exploration of the capacities of four text-based GenAI tools to support student learning across six disciplines. The study emphasized repeated prompting, pushing back, and re-prompting of the bots, as well as student reflection on the process. This session presents findings on GenAI's effectiveness as a dynamic, interactive study tool. Qualitative and reflective analysis of the data reveals strategies for effectively engaging students with these tools and highlights the importance of coaching students to be curious and critical in leveraging AI for their own learning.