Leveraging Generative AI to Address Bloom's Two Sigma Problem: A Multilingual and Inclusive Approach
Alternative Title
Leveraging Generative Artificial Intelligence (GenAI) to Address Bloom's Two Sigma Problem: A Multilingual and Inclusive Approach
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
Gold Coast III-IV
Start Date
23-7-2024 10:15 AM
End Date
23-7-2024 10:45 AM
Publisher
University of Central Florida Libraries
Keywords:
Generative AI; Personalized learning; Multilingual education; Educational disparities; Higher education
Subjects
Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Learning and scholarship--Technological innovations; Educational innovations; Multicultural education--Computer-assisted instruction
Description
This presentation explores using generative AI to tackle Bloom's Two Sigma Problem, emphasizing enhanced individual learning through personalized, contextually relevant instruction. Discussing the gap between one-on-one tutoring and conventional teaching, we examine how generative AI provides high-quality, personalized tutoring, especially in multilingual contexts, promoting exclusive learning. We explore augmenting your teaching practice with AI to boost student engagement, learning outcomes, and personal mastery, offering practical insights for higher education teaching enhancements. This approach suggests a promising avenue for effectively addressing educational disparities and achieving including learning environments.
Language
eng
Type
Event
Rights Statement
This work is licensed under a Creative Commons Attribution 4.0 International License.
Audience
Faculty, Students, Educators
Recommended Citation
Fichman, Jonathan, "Leveraging Generative AI to Address Bloom's Two Sigma Problem: A Multilingual and Inclusive Approach" (2024). Teaching and Learning with AI Conference Presentations. 33.
https://stars.library.ucf.edu/teachwithai/2024/tuesday/33
Leveraging Generative AI to Address Bloom's Two Sigma Problem: A Multilingual and Inclusive Approach
Gold Coast III-IV
This presentation explores using generative AI to tackle Bloom's Two Sigma Problem, emphasizing enhanced individual learning through personalized, contextually relevant instruction. Discussing the gap between one-on-one tutoring and conventional teaching, we examine how generative AI provides high-quality, personalized tutoring, especially in multilingual contexts, promoting exclusive learning. We explore augmenting your teaching practice with AI to boost student engagement, learning outcomes, and personal mastery, offering practical insights for higher education teaching enhancements. This approach suggests a promising avenue for effectively addressing educational disparities and achieving including learning environments.
