Artificial Intelligence Literacy Workshop for Graduate Teaching Assistants

Article Sidebar

Journal of Technology-Integrated Lessons and Teaching Cover. Volume 6, Issue 1, 2026.
Lesson PDF Lesson DOCX Presentation Materials
Published: Jun 19, 2026
DOI: https://doi.org/10.13001/jtilt.v5i1.10317
Keywords:
AI Output Evaluation, Generative AI, Prompt Engineering

Main Article Content

Md Mahbubul Amin
University of Oklahoma
https://orcid.org/0009-0003-9666-0205
Emmanuel Amackson
University of Oklahoma
https://orcid.org/0009-0004-9486-9352
Samara Santana
University of Oklahoma
https://orcid.org/0009-0003-6966-9685
Mohammad Shams Ud Duha
Assistant Professor, University of Oklahoma
https://orcid.org/0000-0003-4235-8687

Abstract

This training program describes a pilot implementation designed to support Graduate Teaching Assistants (GTAs) in developing competency in the responsible and pedagogical use of generative artificial intelligence (GenAI) in their roles as instructors of record in higher education. Guided by Gagné’s (1985) Nine Events of Instruction, Backward Design (Wiggins & McTighe, 2005), and the ADDIE framework (Branch, 2009), the session provides structured instruction in which participants use ChatGPT (5.1) to develop prompt engineering skills and evaluate AI-generated instructional outputs. GTAs construct, test, and iteratively refine discipline-specific prompts using the Role, Task, Context, Format framework (RTCF; Kang et al., 2025) and the AI Assessment Scale (AIAS; Perkins et al., 2024).

Downloads

Download data is not yet available.

Article Details

How to Cite
Amin, M. M., Amackson, E., Santana, S., & Duha, M. S. U. (2026). Artificial Intelligence Literacy Workshop for Graduate Teaching Assistants. Journal of Technology-Integrated Lessons and Teaching, 5(1), 23–33. https://doi.org/10.13001/jtilt.v5i1.10317
Issue
Vol. 5 No. 1 (2026): Journal of Technology-Integrated Lessons and Teaching
Section
Article
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Author Biographies

Md Mahbubul Amin, University of Oklahoma

Md Mahbubul Amin is a PhD student in Learning Experience Design and Technology at the University of Oklahoma and works as a Graduate Research Assistant focusing on instructional design and AI literacy initiatives. His professional experience spans instructional design, language education, and digital learning development across higher education and professional training contexts. His research and professional interests include AI-enhanced learning, instructional design for higher education, language learning technologies, and bridging research and practice to support educators through practical, accessible learning solutions. 

Emmanuel Amackson, University of Oklahoma

Emmanuel Amackson is a Ph.D. student in Learning Experience Design and Technology at The University of Oklahoma. His research focuses on the design and evaluation of technology-enhanced learning environments, with interests in AI-supported training, adaptive learning systems, and game-based learning. Emmanuel is interested in exploring how emerging technologies can be used to personalize learning experiences, foster engagement, and support meaningful learning across educational and professional contexts.

Samara Santana, University of Oklahoma

Samara Santana is a master’s student in the Science of Psychology, Research, and Data in Education at the University of Oklahoma and works as a research technician alongside the Center of Child Abuse and Neglect (CCAN) at the University of Oklahoma Health Science Center. As a research technician, her research agenda centers on generating evidence-based level-of-need recommendations that promote youth permanency. This has informed her perspective on how educational contexts can cultivate community and meet the needs of diverse learners through research interests in Universal Design for Learning, visual literacy, and instructional message design that integrates both theory and practice.

Mohammad Shams Ud Duha, Assistant Professor, University of Oklahoma

Dr. Mohammad Shams Ud Duha is an Assistant Professor of Learning Experience Design and Technology in the Department of Educational Psychology at the University of Oklahoma. He earned his Ph.D. in Learning Design and Technology from Purdue University. His research interests include online learning environments, social media in education, open education, Universal Design for Learning, and microlearning. His work has been published in reputed journals such as Online Learning, Distance Education, Journal of Computing in Higher Education, and TechTrends.