Conference Session

AI, Technology, and Data-Driven Learning in Biomedical Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Viswajith Siruvallur Vasudevan, Cornell University; Shivaun D Archer, Cornell University; Jonathan T. Butcher, Cornell University

Tagged Divisions

Biomedical Engineering Division (BED)

Paper ID #46505Exploring the Efficacy of Generative AI and ChatGPT in BME InstructionalLabs: A Case Study on GABA Receptors and Synaptic PotentialsDr. Viswajith Siruvallur Vasudevan, Cornell University Viswajith Siruvallur Vasudevan is currently pursuing a postdoctoral fellowship in Active Learning at the Meinig School of Biomedical Engineering, Cornell University. He obtained his Ph.D. in Electrical Engineering from University of Central Florida (May 2020) working on the control and therapeutic optimization of Ventricular Assist Devices. Following his Ph.D., he worked in Cornell University as a postdoctoral associate in

Conference Session

AI, Technology, and Data-Driven Learning in Biomedical Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Angela Lai, Tufts University; Kavon Karrobi, Boston University

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering Division (BED)

their writing in sustained or long-term writing projects[13, 14]. Due to thismodule, the majority of students were optimistic towards using AI in future assignments forwriting. However, students who use ChatGPT to write tend to run into common pitfalls such asambiguous writing, bias reinforcement, and “hallucinations”[15]. This shift reflects the need toprovide clear guidance on appropriate AI usage in educational settings. This work highlights thegrowing recognition that fostering AI literacy is a crucial educational practice in modernclassrooms.To investigate the ways students respond to AI literacy efforts and how they may change theiruse of genAI in these situations, we introduce structured usage of AI in one lecture to increase AIliteracy

Conference Session

Biomedical Engineering Division (BED) Postcard Session (Best of WIPs)

Collection

2025 ASEE Annual Conference & Exposition

Authors

Nathan Hyungsok Choe, The George Washington University; Chanyee Hong; Hyeyeon Lim

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering Division (BED)

al.emphasized that utility value and self-efficacy are essential in shaping the learning outcomes ofengineering students, highlighting the importance of integrating practical applications into thecurriculum to enhance students' perceived utility value [3]. In the context of using large languagemodel (LLM) like ChatGPT in engineering education, the utility value can significantlyinfluence how students perceive and utilize these tools. Recent studies have explored the impactof LLM on students' perception of utility value in using AI tools. For instance, Rosenzweig et alexamined the effectiveness of utility value interventions in online math courses and found thatsuch interventions significantly increased students' perceived utility value and

Conference Session

Curriculum Development and Pedagogical Innovations

Collection

2025 ASEE Annual Conference & Exposition

Authors

William H Guilford, University of Virginia

Tagged Divisions

Biomedical Engineering Division (BED)

according topredefined rubric criteria, which aligned with levels of DPK. Each student's pre and postresponses were evaluated for the presence or absence of rubric categories. ChatGPT providedconsistency in applying the rubric across the dataset and sped the analysis. Further, for eachrubric criterion, ChatGPT highlighted specific examples and patterns of alignment ormisalignment with rubric, allowing for manual validation of the results.Statistical comparisons were performed using SPSS. Scores were ordinal and not normallydistributed. Therefore, a Wilcoxon Signed Ranks test was used for comparison of pre-post paireddata. A Mann-Whitney test was used to compare beginning of semester scores between the twosemesters.ResultsBefore the curriculum

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Xianglong Wang, University of California, Davis; Tiffany Marie Chan, University of California, Davis; Angelika Aldea Tamura, University of California, Davis

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering Division (BED)

], rapidimprovement in the performance of these products, as reflected by one faculty’s experience ofPerplexity AI scoring 80% on their multiple choice-based engineering quiz, accentuated the needfor BME educators and students to improve AI literacy and cultivate responsible use of AI.ML algorithms are computer programs that improve their performance with more experience(data) [8]. Therefore, problems in the data used to train ML algorithms, such as demographicbiases, can be reflected in the performance of ML algorithms. In a BME context, GPT-4, whichpowers ChatGPT and Perplexity AI, showed strong ethnic biases when assigning medicalconditions such as HIV/AIDS [9], while GPT-4 and Gemini (also powers AI-enabled notebook,NotebookLM) showed negative perception

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Alex Nelson Frickenstein, University of Oklahoma

Tagged Divisions

Biomedical Engineering Division (BED)

Instructor Responses Showing how AI can be used to conduct initial research into a I think that students could improve at their use of sequential prompts. subject and find appropriate sources. I think students would benefit from [the] use of more diverse AI tools Asking AI for ideas of how to start problems or explain the current (i.e., in addition to ChatGPT). I think that students should use AI flow in circuitry to better understand how they interact. more to generate practice problems and summaries from lectures Have [AI] write more of the [project] document. Most of the work is (i.e., to help them study at their own pace and be more self-directed busy work, wanting a specific