Conference Session

WiP: Gen AI, Mixed Reality, and Simulations

Collection

2025 ASEE Annual Conference & Exposition

Authors

Gautom Kumar Das, University of Maryland Baltimore County

Tagged Divisions

Chemical Engineering Division (ChED)

Paper ID #46722Work-in-Progress: Leveraging ChatGPT to Support Technical CommunicationSkills (Writing) in a Senior Chemical Engineering Laboratory CourseDr. Gautom Kumar Das, University of Maryland Baltimore County Dr. Gautom Das is an Associate Teaching Professor in the Chemical, Biochemical and Environmental Engineering at UMBC. Prior to joining UMBC, he was a Research Scientist and Lecturer in the Chemical and Biomolecular Engineering at Rice University, and a Post-doctoral Scholar at the University of California, Davis. He earned his PhD in Chemical and Biomolecular Engineering from the Nanyang Technological

Conference Session

Chemical Engineering Division (ChED) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Allen Hersel, Trine University

Tagged Divisions

Chemical Engineering Division (ChED)

, material property prediction,and fault detection in industrial processes. Gaining expertise in these methods equips students totackle complex challenges and drive innovation within the field. In 2018, I formed a researchgroup focused on tackling a range of machine learning problems, despite the absence of formalprogramming instruction in the curriculum. To streamline our workflow and improve efficiency,we selected MATLAB for its machine learning toolbox, which minimized the amount of manualcoding required for implementing and testing algorithms.This poster examines how ChatGPT, an AI language model, has functioned as an educationaltool to assist chemical engineering students in bridging the gap between their core discipline andmachine learning

Conference Session

Leveraging AI and Computational Tools for Enhanced Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Chloe Lok Yee Chan, Department of Chemical & Biological Engineering, Villanova University; Brianna Fan, Department of Chemical and Biological Engineering, Villanova University; Henry Pei, Department of Chemical & Biological Engineering, Villanova University; David Kaicheng Shen; Christopher Song; Chenhao A Zhao; Zuyi (Jacky) Huang, Villanova University

Tagged Divisions

Chemical Engineering Division (ChED)

for Engineering Education, 2025Enhancing Chemical Process Control Education: A Self-Paced, AI-Assisted Approach to Strengthen ODE Modelingand Simulation SkillsChloe Lok Yee Chan+, Brianna Fan+, Henry Pei+, David Shen+, Christopher Song+, Chenhao A Zhao+, Zuyi(Jacky) Huang*Department of Chemical and Biological Engineering, Villanova University, Villanova, PA 19085+: Equal Contribution, Alphabetical Sequence of Last Names*: Corresponding author: zuyi.huang@villanova.eduAbstract: This study explores the integration of AI tools, particularly ChatGPT, into engineeringeducation to enhance learning in Ordinary Differential Equation (ODE) modeling in the course ofChemical Process Control. A self-paced, AI-assisted project was developed to refresh

Conference Session

Leveraging AI and Computational Tools for Enhanced Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Christopher V.H.-H. Chen, Columbia University; Sakul Ratanalert, Columbia University in the City of New York

Tagged Divisions

Chemical Engineering Division (ChED)

University in the City of New York Sakul Ratanalert is a Senior Lecturer in Discipline in the Department of Chemical Engineering at Columbia University. He received his BS in Chemical and Biomolecular Engineering from Cornell University, and his MS in Chemical Engineering Practice and his PhD in Chemical Engineering from MIT. His current research interests include developing engaging learning activities and building students’ intuition and conceptual understanding. ©American Society for Engineering Education, 2025 Development of an MEB Novice Chatbot to Improve Chemical Engineering Critical ThinkingAbstractThe rise of ChatGPT, and other generative AI tools, has led

Conference Session

WiP: Gen AI, Mixed Reality, and Simulations

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jonathan Verrett, University of British Columbia, Vancouver

Tagged Divisions

Chemical Engineering Division (ChED)

perceptions and usage of generative AI in second- year chemical engineering design exercisesIntroductionGenerative AI (Gen. AI) systems have recently become widely and easily accessible followingthe launch of systems such as ChatGPT in late 2022. One topic of interest is how students areusing these tools and the educational impacts of their use [1]. Researchers have sought tounderstand student use and perception of Gen. AI through a variety of means including surveysand case studies [2], [3], [4], [5]. Weber et al. surveyed 760 respondents at an R1 universityincluding students and faculty on their perception of Large Language Models (LLMs) [2].Students believed that LLMs would significantly impact their ability to quickly

Conference Session

Leveraging AI and Computational Tools for Enhanced Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Betul Bilgin, The University of Illinois at Chicago; Christopher V.H.-H. Chen, Columbia University; Stephanie Butler Velegol, The Pennsylvania State University

Tagged Divisions

Chemical Engineering Division (ChED)

outcomes. Recent studieshighlight the ability of generative AI tools to create dynamic course content, automate routinetasks, and provide real-time, adaptive feedback to students [1-3]. These features are particularlyvaluable in addressing the challenges of large class sizes and diverse student needs, making AI apromising tool for scaling high-quality education.In chemical engineering education, where problem-solving and quantitative reasoning are integral,AI tools like ChatGPT and discipline-specific software have shown promise in assisting withcomplex calculations, modeling, and conceptual understanding. For instance, AI-driven platformscan simulate chemical processes and provide students with interactive learning opportunities,enhancing their

Conference Session

Sustainability and Social Responsibility

Collection

2025 ASEE Annual Conference & Exposition

Authors

Erick S. Vasquez-Guardado, University of Dayton; Megan Morin, North Carolina State University at Raleigh

Tagged Divisions

Chemical Engineering Division (ChED)

Effects of Alcohol in Heat Transfer Fluid Flow and Heat Transfer Principles in ClimateIn addition to obtaining the “top-ranked” micromoments, we also examine the students’suggestions for future efforts. Examining the answers to question P5: What can be improved forfuture student-led micromoment presentations? and using AI (ChatGPT 4.0), five general themeswere obtained, including: “Alignment with class material, guidance and resources, timing andaccessibility, engagement and interaction, and open-ended creativity with practical constrains.” Ofsignificance in the alignment with class material, we found that presentations should connectdirectly with class topics to enhance understanding and relevance of the content. Also, studentsnoted that

Conference Session

Innovative Pedagogies and Assessment Strategies

Collection

2025 ASEE Annual Conference & Exposition

Authors

Erick S. Vasquez-Guardado, University of Dayton

Tagged Divisions

Chemical Engineering Division (ChED)

area of research. Both exampleshelped the students prepare a script for their final individual recordings. Additionally, a rubric wasprepared to assess the student's performance in the last vodcast assignment. The course instructorprepared the rubric using a series of AI interactions (ChatGPT). Once generated, the rubric wasshared with the students before their assignment due date. The rubric can be seen in Table 1.As noted in Table 1, several aspects of the vodcast recordings were evaluated. Most of the gradewas assigned to the technical content or content knowledge that the students demonstratedthroughout the video recording. Other aspects of the evaluation included relevance and focus,structure and organization, delivery and engagement, use

Conference Session

Leveraging AI and Computational Tools for Enhanced Learning

Collection

2025 ASEE Annual Conference & Exposition

Authors

Carlo Bato Galicia, Cebu Institute of Technology - University

Tagged Divisions

Chemical Engineering Division (ChED)

, this wasnot explored in the study, but in future iterations, it will be measured via pre-test.Some questions were adapted from textbook exercises, while other problems werewritten for the project. For those that were adapted from textbooks, some sets weregenerated using the original problem statements, while in others, the problem set wasmodified using AI tools, which included ChatGPT and Google Gemini. Other AI chatbottools were not used during the project.AI could be utilized to change the language, style, and context of problem sets bychanging the content and style of the problems. This is particularly useful in theprocess of keeping assessments “fresh” or adaptable. The instructor of the coursedoes need to evaluate if the modified problem

Conference Session

Preparing Future Chemical Engineers

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sourojeet Chakraborty Ph.D., EIT, Johns Hopkins University; Daniela Galatro, University of Toronto

Tagged Topics

Diversity

Tagged Divisions

Chemical Engineering Division (ChED)

towardsthe Society 5.0 global vision. Coupled with the use of conscious, ethical Artificial Intelligence tools (ChatGPT, JasperAI, Copilot, Gemini, etc.) and learning modalities (active/experiential/inquiry-driven, flipped-classroom, etc.) willempower students to individualize learning experiences/outcomes. However, e-learning must be supplemented byopen discussions [13], and project-based/textbook-based learning, especially for foundational subjects. Withinchemical engineering, core subjects and topics like calculus, transport phenomena, chemical thermodynamics,separation processes, and plant/process design (undergraduate capstone) must be taught through a mix of pedagogicalstrategies. Our results reveal an increase (especially since 2017