Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Enas Aref, Western Michigan University

Tagged Divisions

Industrial Engineering Division (IND)

McKinsey& Company. ChatGPT, the infamous creation by OpenAI, unleashed theaccessibility of Gen AI to everyone that has access to the internet. ChatGPT and similar platforms likeGoogle-Bard and Claude 2.0 are classified as a Large Language Model (LLM). Deep learning neuralnetwork, a type of machine learning, is the algorithm used to develop those LLM models [25]. Theultimate objective of Gen AI models is “to generate human-like content in response to complex andvaried prompts” [24]. Gen AI capabilities are extensive and are continuously growing and improving.Gen AI is capable of answering questions, solving difficult problems, and in some models like GPT-4 canexhibit human-level performance on some academic exams [26]. These capabilities paired

Conference Session

Industrial Engineering Division (IND) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Priyadarshini Pennathur, University of Texas at El Paso; Arunkumar Pennathur, The University of Texas at El Paso; Amirmasoud Momenipour, Rose-Hulman Institute of Technology

Tagged Divisions

Industrial Engineering Division (IND)

Worker transparent systems for tracking safety training, incidents, and Safety and Compliance compliance with regulations, or platforms for workers to report issues anonymously. Research on integrating Generative AI like ChatGPT into the Generative AI workplace, focusing on opportunities, challenges, risks (socio- technical), and impacts on productivity, safety, and health.The materials and methods used in this course can be tailored for use in courses such as workmeasurement, work analysis and design, or operations management. These topics may also behelpful for other engineering majors and

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Corey Kiassat, PhD, MBA, PE, Quinnipiac University

Tagged Divisions

Industrial Engineering Division (IND)

Ercikan and McCaffrey's work on the integration ofartificial intelligence into rubric generation [8], the author utilized ChatGPT to construct therubric. Additionally, similar to the framework outlined by Cooper [9], ChatGPT wasemployed to systematically apply the rubric and assess student contributions.A one-tailed t-test was then performed on the total before and after scores of the students. Ap-value of 0.0008 and Cohen’s d value of 1.57 to conclude that the course suggest that thecourse had a significant and practically meaningful impact on the students. The rubric andthe results are presented in Tables 1 and 2. While the number of respondents is small (n=9),the trend is certainly positive, encouraging the continuation of integrating