Karin Jeanne Jensen
VerifiedUniversity of Illinois Urbana-Champaign · Bioengineering
Active 1980–2026
About
Karin Jeanne Jensen is an Adjunct Assistant Professor in Bioengineering at the University of Illinois Urbana-Champaign. She holds a Ph.D. in Biomedical Engineering from the University of Virginia and a B.S. in Biological Engineering from Cornell University. Her research focuses on education in Biomedical Engineering, with primary interests in engineering education and systems engineering principles in signal transduction and cell-fate choice. Jensen has contributed to the development and implementation of laboratory exercises and practicals in bioengineering education, including virtual cell culture labs and enzyme kinetics measurements. She has been actively involved in professional societies such as the Biomedical Engineering Society (BMES) and the American Society for Engineering Education (ASEE), serving in roles related to diversity, equity, and inclusion. Jensen has received multiple teaching honors, including the ASEE Biomedical Engineering Division Teaching Award and being listed as a Teacher Ranked as Excellent multiple times. Her scholarly work includes research on drug discovery, cancer biology, and systems pharmacology, with a notable focus on engineering education within biomedical engineering.
Research topics
- Computer Science
- Engineering
- Mechanical engineering
- Sociology
- Social Science
- Aerospace engineering
- Computer network
- Engineering management
- Multimedia
- Psychology
- Pedagogy
- Operating system
Selected publications
Journal of Women and Minorities in Science and Engineering · 2026-01-01
articleSenior authorStudents with disabilities experience many barriers in higher education. Certain aspects of disciplinary culture may create more unwelcoming environments in engineering majors. The purpose of this literature review is to assess current scholarship describing the experiences of engineering students with disabilities as they engage in the accommodations process. Twelve studies met the criteria for this review. Common themes are that negative experiences are common; as students interact with instructors about disability and accommodations, there are various barriers to disclosure and using accommodations, including stigma, perceived negative attitudes of instructors, and costs for diagnosis; and instructor and institutional support are important to student success. When we can understand the structures that create barriers and unwelcoming climates for students with disabilities, as well as the supports and structures that create welcoming environments, then we can develop solutions that make engineering a more inclusive and equitable space.
Implementation of an Undergraduate Laboratory-Based Mammalian Genome Editing Course
The CRISPR Journal · 2025-07-10
articleGenome engineering methods can be utilized to perform complex genetic manipulations in living cells with remarkable efficiency and precision. Given the transformative potential of these enabling technologies, their applications are steadily expanding into most biology and biomedical fields where they play a central role in many experimental frameworks. For these reasons, in order to effectively prepare future generations of biologists and bioengineers for successful careers, there is a high need to incorporate courses teaching genome editing fundamentals into existing curricula. To accomplish this objective, lecture-based courses are rapidly integrating genome editing concepts; however, there are few laboratory courses that teach the practical skills needed to successfully perform genome editing experiments. Here, we describe the development and implementation of a semester-long laboratory course that teaches students not only the techniques needed to perform gene knockout, gene activation, gene repression, and base editing in mammalian cells but also prepares them to design and troubleshoot experiments, write scientific manuscripts, as well as prepare and deliver scientific presentations. Course evaluations demonstrate that this class effectively equips students with the knowledge and hands-on experience needed to succeed in careers related to genome engineering, cell and tissue engineering, and, more broadly, biology.
Engineering students' attitudes and perceived norms toward disability and accommodations
Journal of Engineering Education · 2025-08-18 · 1 citations
articleOpen accessSenior authorAbstract Background Engineering has its own unique disciplinary culture that establishes norms and ideals. Many of these norms and ideals are centered on White, masculine, heteronormative constructs, which tend to presuppose able‐bodiedness. Students with disabilities in engineering must navigate spaces that contain inherent social and physical barriers. Purpose/Hypothesis(es) The overarching goal of this research project is to understand the experiences of students with disabilities in engineering and to understand engineering students' attitudes and perceived norms toward disability and accommodations. Design/Method In a mixed‐methods design, quantitative survey and qualitative interview data were collected from undergraduate engineering students at a public, Midwest, R1 institution. Quantitative and qualitative data were analyzed separately and interpreted together. Results Attitudes for Academic Integrity, Accommodations Process, and Classroom Climate tended toward more positive attitudes, while Disability Acceptance and Disability Disclosure tended toward negative attitudes. Qualitative findings exploring the nuances of attitudes include the ideas of faking disability and reluctance to disclose disability. Conclusions Hidden notions of ableist ideology seem to undercurrent perceptions of disability and accommodations. Attitudes toward disability and requesting accommodations are generally positive, but some students are still reluctant to disclose their disability or use accommodations.
Studies in Engineering Education · 2025-06-10 · 1 citations
articleOpen accessSenior authorBackground: Undergraduate engineering students experience high stress and exhibit help-seeking behaviors less than non-engineering peers. Developing a deeper, comprehensive understanding of their experiences is a critical step to identifying potential changes to reduce their stress. Research identifying structural components that impact student stress can inform structural changes that decrease student stress and thus support engineering students’ mental health. Purpose/Hypothesis: We examined how narratives of engineering undergraduate experiences with stress highlight the relationship between control and identified hindrances. We then used these relationships to investigate underlying structural elements. Design/Method: We interviewed fourteen undergraduate engineering students at an R2 institution in the northeastern United States. To create narratives, we conducted a tri-fold process that consisted of thematic analysis, identification of key quotes, and arts-based memo analysis. These narratives were mapped onto the Job-Hindrance-Control-Support (JHCS) model to identify structural elements for potential change. Results: The resulting composite narratives of George and Maya presented compelling stories of students’ experiences with stress and social support that highlight underlying structural systems, and their sources of support differed. Identified structural elements impacting their experiences included their physical proximity to campus, financial resources, and support for both time management and social-emotional regulation. Conclusions: Undergraduate engineering students commonly experience high levels of stress, and recognition of identified key structural elements followed by informed, deliberate action may be one way to support student mental health.
Biomedical Engineering Education · 2025-07-01 · 2 citations
articleOpen access1st authorCorresponding2025-08-21
article2025-08-21
articleInternational Journal of STEM Education · 2025-03-24 · 6 citations
articleOpen accessSenior authorAbstract Background Undergraduate engineering students report increased rates of mental health distress. Evidence suggests that these students experience high stress, which can perpetuate mental health challenges. Further, engineering students may engage in help-seeking and self-care activities more rarely than students in other disciplines. We hypothesize the existence of a culture of high stress that is normalized and expected by undergraduate engineering students. We leveraged interviews previously conducted by our team to develop two survey measures: (1) the Engineering Stress Culture (ESC) Scale, which measures cultural norms and expectations surrounding stress, and (2) the Undergraduate Engineering Stressors Questionnaire (U-ESQ), which measures factors that contribute to undergraduate engineering student stress experiences (stressors). Results We developed a novel, exploratory battery of items to measure students’ experiences with stress in undergraduate engineering education. After administering the new 81-item survey ( N = 624) comprising both the U-ESQ and ESC Scale, we performed exploratory factor analysis and tested the internal consistency for each factor subscale. We then refined the survey to 58 items and administered it to a second sample of participants ( N = 561) at a second institution for confirmatory factor analyses. We present evidence that the ESC Scale is a valid and reliable instrument for measuring an engineering stress culture. The final factor structure of the U-ESQ revealed eight distinct factors, each representing different stressors such as competition or identity-related experiences. We provide validity evidence for the U-ESQ. While the confirmatory evidence of the reliability of the U-ESQ instrument is less robust compared to the ESC Scale, there is acceptable evidence of reliability. This may be partially attributed to the inclusion of career-related and faculty-interaction-related stressors that may become more for salient later-stage undergraduate students, who are undersampled in our results. Conclusions We present validity and reliability evidence for the developed measures that quantify engineering student stressors and the associated high-stress culture. These measures may apply to students in other non-engineering STEM disciplines, warranting future investigations. The developed measure is a first step towards identifying and dismantling a culture of stress in engineering, which will promote student well-being and thriving.
2025-08-21
articleJournal of Engineering Education · 2025-12-01 · 1 citations
articleOpen accessSenior authorAbstract Background Generative artificial intelligence (AI) large‐language models (LLMs) have significant potential as research tools. However, the broader implications of using these tools are still emerging. Few studies have explored using LLMs to generate data for qualitative engineering education research. Purpose/Hypothesis We explore the following questions: (i) What are the affordances and limitations of using LLMs to generate qualitative data in engineering education, and (ii) in what ways might these data reproduce and reinforce dominant cultural narratives in engineering education, including narratives of high stress? Design/Methods We analyzed similarities and differences between LLM‐generated conversational data (ChatGPT) and qualitative interviews with engineering faculty and undergraduate engineering students from multiple institutions. We identified patterns, affordances, limitations, and underlying biases in generated data. Results LLM‐generated content contained similar responses to interview content. Varying the prompt persona (e.g., demographic information) increased the response variety. When prompted for ways to decrease stress in engineering education, LLM responses more readily described opportunities for structural change, while participants' responses more often described personal changes. LLM data more frequently stereotyped a response than participants did, meaning that LLM responses lacked the nuance and variation that naturally occurs in interviews. Conclusions LLMs may be a useful tool in brainstorming, for example, during protocol development and refinement. However, the bias present in the data indicates that care must be taken when engaging with LLMs to generate data. Specially trained LLMs that are based only on data from engineering education hold promise for future research.
Recent grants
NSF · $68k · 2020–2023
NSF · $83k · 2020–2023
CAREER: Supporting Undergraduate Mental Health by Building a Culture of Wellness in Engineering
NSF · $351k · 2020–2023
NSF · $232k · 2019–2023
Research Initiation: Understanding Student Perceptions of Engineering Stress Culture (ESC)
NSF · $196k · 2017–2020
Frequent coauthors
- 83 shared
Joseph Mirabelli
University of Tennessee at Knoxville
- 57 shared
Lisa Benson
University of Michigan–Ann Arbor
- 56 shared
Kelsey Watts
University of Virginia
- 55 shared
Rebecca Bates
Minnesota State University, Mankato
- 55 shared
Gary Lichtenstein
Arizona State University
- 48 shared
Andrea Kunze
Delta State University
- 48 shared
Kelly Cross
Communications Technology Laboratory
- 43 shared
Evan Ko
University of Illinois Urbana-Champaign
Awards & honors
- ASEE Biomedical Engineering Division Teaching Award (2020)
- List of Teachers Ranked as Excellent (15 times) (2015, 2016,…
- NSF CAREER Award (2019)
- Scholar Award, Women In Cancer Research (WICR), American Ass…
- Scholar Award, ARCS Foundation (2012)
- Resume-aware match score
- Save to shortlist
- AI-drafted outreach
See your match with Karin Jeanne Jensen
PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.
- Free to start
- No credit card
- 30-second signup