Collection

2024 South East Section Meeting

Authors

Stephen Strain, University of Memphis; Andrew Blass Watson, The University of Memphis; Matthew Hale, The University of Memphis

Tagged Topics

Diversity

proactively navigating challenges.[Note: We asked ChatGPT to compose a conclusion to this paper. Below is its response,unaltered, with which we thoroughly agree.]Looking ahead, the dynamic landscape of Artificial Intelligence (AI) in education demandscontinuous exploration and adaptation. Future research should focus on developing robustframeworks for AI integration that balance technological advancement with ethicalconsiderations. This includes creating guidelines that prevent academic dishonesty whileencouraging innovative uses of AI. Furthermore, there is a need for longitudinal studies to assessthe long-term impacts of AI on learning outcomes, critical thinking, and problem-solving skills.Educational institutions must also consider the evolving

Collection

2024 South East Section Meeting

Authors

John W. Brocato, University of Georgia

Tagged Topics

Diversity

• Public Perceptions: Examining the Movie Versions of Jeffrey Wigand and CBS News • Edward Tufte's Analysis of Statistical Storytelling: John Snow and the London Cholera Epidemic of 18544On the seemingly ubiquitous subject of AI/ChatGPT, students in BIOE 2100 are required to usethis technology for their major writing assignments, as follows: In addition to your own final version of this assignment, you must also submit an AI- rendered version; i.e., (1) input a prompt to some form of AI software; (2) submit the response it gives you here (separate file) along with the assignment you created yourself; and (3) include a brief (6-8 sentences) analysis of the differences between your submission

Collection

2024 South East Section Meeting

Authors

Brian Aufderheide, Hampton University; LaNika M. Barnes, Albemarle County Public Schools (Charlottesville, Virginia); Otsebele E Nare, Hampton University; Garrick E. Louis, University of Virginia; Daniel Webster Fairley II, 100 Black Men of Central Virginia

Tagged Topics

Diversity

represented the overall interest of all the participating students. The students fillingout the form were 38 out of a total of 46 or 82.6%. The breakdown of students who stated theirpreferred topics was 17 (85%) from HBCU, 9 (100%) from high school, and 12 (70.6%) fromPWI. Over 90% of the students who filled out the form got one of their top three choices. Seetable 1 below for more information on topics and student choices. In the end, those not chosenwere Drone Use and Global Justice, AI and Written Papers ChatGPT, and Flint Michigan Water. Table 1: Ethics Case Study Topics % Student Choices No. Topic

Collection

2024 South East Section Meeting

Authors

Arezou Shafaghat, Kennesaw State University; Mohammad Jonaidi; Hoseoen Lee; Craig A Chin, Kennesaw State University; Ali Keyvanfar, Kennesaw State University

Tagged Topics

Diversity

: Non-numerical evaluation at the end of an instructionalunit, focusing on the application of learned concepts. - Quantitative Summative Assessment: Numerical evaluation at the end of an instructionalunit, like final grades or scores.XYZ EduOwl Tool ValidationIn order to comprehensively evaluate the user perception of the XYZ EduOwl tool, an innovativeapproach was employed using ChatGPT, a generative AI language model developed by OpenAI.The model, known as ADA, was instrumental in generating a simulated dataset, which wascrucial for our analysis.With the assistance of ChatGPT ADA, a set of simulated responses was structured to mirror real-world user feedback. This simulation involved creating responses for 100 respondents,encompassing a