At the heart of the study lies a fundamental question: How does stepping into the role of a mentor influence undergraduate students’ conceptualization of knowledge in engineering? Epistemic cognition encompasses beliefs about the nature of knowledge, its justification, and how it should be constructed or evaluated. In engineering, where problems often require multifaceted solutions intertwining theory, practical constraints, and creative thinking, students’ epistemic cognition is critical to their effectiveness as future practitioners. This research tracks these cognitive shifts longitudinally, documenting how participants evolve as they engage in mentoring activities that challenge their pre-existing assumptions and enhance their reflective practices.

The methodical design of the study included a cohort of undergraduate engineering students who were tasked with mentoring their junior peers in complex design projects. This mentoring context created an authentic environment for knowledge exchange, necessitating not just technical proficiency but deep conceptual understanding and communication skills. Throughout the course, students navigated the intricacies of problem-solving, drawing upon both theoretical frameworks and empirical data while encouraging mentees to critically question design choices. This dynamic fostered a richer epistemic growth experience, as mentees became subjects of metacognition and reflection for their mentors.

One striking aspect highlighted by the authors is the shift in students’ understanding of engineering knowledge from a static body of facts to a more fluid, context-dependent construct. Initially, many students perceived engineering as a domain of fixed truths and definitive answers, largely focused on the application of formulas and standard procedures. However, the mentoring role compelled them to confront the uncertainties inherent in real-world design challenges, leading to an appreciation of knowledge as iterative, socially embedded, and often provisional. This conceptual evolution aligns with advances in educational theory, emphasizing that mature engineers must navigate ambiguity and balance competing constraints without absolute certainty.

Moreover, the study reveals that the process of mentoring enhances students’ metacognitive awareness — their ability to monitor and regulate their own learning and thinking. As mentors guide mentees through engineering design tasks, they are forced to articulate reasoning, justify decisions, and anticipate alternative perspectives. This reflective dialogue nurtures cognitive flexibility and deepens their understanding of knowledge validity and reliability. Importantly, the authors argue this practice also cultivates ethical and professional dispositions, with mentors becoming more sensitive to the social impact and responsibility entailed in engineering work.

The findings also underscore the transformative power of social interaction in epistemic development. Through mentoring, students engage in collaborative knowledge construction, negotiating meaning with others and exposing themselves to diverse viewpoints. This social dimension resonates with sociocultural theories of learning, wherein cognition is not solely individual but profoundly shaped by interpersonal exchanges. Within the engineering context, such dialogic processes refine problem-solving approaches and foster an adaptive mindset essential for multidisciplinary teamwork.

Technically, the study utilized a mixed-methods approach combining quantitative surveys assessing epistemic beliefs with qualitative interviews tracing cognitive change narratives. This comprehensive methodology enabled the researchers to capture subtle shifts in participants’ epistemic stances, correlating these with their mentoring experiences and specific contextual factors in the design projects. Data analysis revealed consistent trajectories of growth in sophisticated epistemic cognition, especially related to increased tolerance for complexity and recognition of knowledge uncertainty.

Crucially, the authors situate their research within the broader agenda of improving STEM education by highlighting how mentorship roles can serve as a pedagogical lever for epistemic development. They advocate for integrating structured mentoring opportunities into undergraduate curricula to promote deeper engagement with the nature of engineering knowledge, going beyond rote learning and technical skills acquisition. Such integration could prepare students better for professional challenges demanding innovation, ethical judgment, and lifelong learning.

This study also opens pathways for future research by suggesting nuanced inquiry into how different modalities of mentoring — peer-to-peer, near-peer, or faculty-led — differentially impact epistemic cognition. Furthermore, exploring variations across engineering disciplines or diverse educational contexts could reveal how cultural and institutional factors influence cognitive trajectories. The authors call for longitudinal studies tracking these changes well beyond the undergraduate years to understand the enduring effects of mentoring on professional identity and epistemic maturity.

In practical terms, educators and program designers can draw valuable lessons from this research by crafting mentorship frameworks that emphasize critical reflection and knowledge negotiation. Training mentors to facilitate open-ended inquiry and embrace uncertainty can cultivate an environment where learning is dialogic and co-constructed rather than prescriptive. Additionally, recognizing mentoring as a two-way developmental relationship enriches the educational experience for both mentors and mentees, ultimately enhancing the capacity of engineering graduates to thrive in complex, real-world scenarios.

Finally, the technological advances accompanying modern engineering education, including simulation tools, collaborative platforms, and digital design environments, can synergize with mentoring practices to further stimulate epistemic growth. Integrating these resources with human-centered mentorship could leverage the best of both worlds — fostering both cognitive rigor and social engagement. This fusion highlights the evolving nature of engineering education, where knowledge formation is an active, contextual, and iterative endeavor grounded in experience and reflection.

In conclusion, Gao and colleagues’ research compellingly demonstrates that undergraduate engineering students’ epistemic cognition is not fixed but profoundly shaped by their experiences as mentors within design education. This transformation reflects a maturation from simplistic knowledge views toward a complex, relativistic understanding vital for competent engineering practice. By spotlighting the cognitive benefits of mentoring roles, the study offers robust evidence supporting the redesign of STEM curricula to incorporate mentorship as a core element — a change that promises to equip future engineers with the mindset and skills needed for innovation, ethical responsibility, and adaptability in an increasingly complex world.

Subject of Research: Undergraduate engineering students’ epistemic cognition and its transformation through mentoring in engineering design education.

Article Title: Undergraduate engineering students’ epistemic cognition and changes in the course of being engineering design mentors.

Article References:
Gao, L., Jong, M.SY., Chai, C.S. et al. Undergraduate engineering students’ epistemic cognition and changes in the course of being engineering design mentors. IJ STEM Ed 12, 42 (2025). https://doi.org/10.1186/s40594-025-00564-0

Image Credits: AI Generated

The Distinguished Lecturer Program of the IEEE Signal Processing Society plays a vital role in advancing the professional development of its members. It not only allows members access to world-renowned educators, but also allocates funds to support the chapters that host these lectures at their meetings. The program emphasizes the importance of sharing knowledge and fostering an environment conducive to learning and innovation within the field of signal processing. Acton and Jacob’s inclusion in this program will undoubtedly inspire future engineers and lay the groundwork for continued collaboration among academia, industry, and the engineering community at large.

Professor Acton serves as the Lawrence R. Quarles Professor and chair of his department, where he leads groundbreaking research at the Virginia Image and Video Analysis lab. His expertise lies chiefly in artificial intelligence applications for video analysis, a field that has garnered significant attention due to its potential to transform various industries, including healthcare, surveillance, and autonomous vehicle navigation. Recently, Acton spearheaded a project designed to develop an AI-driven system capable of characterizing human actions in video content with unparalleled clarity and accuracy. This advanced system could revolutionize how we interact with video technologies in high-stakes scenarios and everyday applications alike.

This ambitious research initiative aims to create AI solutions that can interpret human behavior in video data, thus providing unprecedented precision for security and safety applications. The implications extend beyond mere technological advancement; they involve potential transformative impacts on education as well. Acton’s work aligns with a National Science Foundation-supported program that focuses on harnessing artificial intelligence to enhance instructional effectiveness. The project, known as Artificial Intelligence for Advancing Instruction, seeks to automate video analysis in educational settings, ultimately giving teachers tools that could lead to improved outcomes in the classroom environment.

Professor Jacob, known for his innovation and expertise in developing machine learning algorithms tailored for medical imaging, is pursuing a mission to make advanced medical imaging techniques more accessible. He leads the Computational Biomedical Imaging Group and has recently secured a $3.9 million multi-institute grant aimed at identifying early signs of Alzheimer’s disease and dementia through advanced imaging technologies. Jacob’s work employs magnetic resonance spectroscopic imaging, a non-invasive method that tracks the brain’s metabolic changes, helping to advance the understanding of neuronal health and function in patients.

Continuing his dedication to fostering healthcare enhancement through technology, Jacob’s ongoing research also includes projects focused on ultrahigh resolution imaging of the brain using 7-Tesla MRI systems. These advanced imaging modalities allow scientists and healthcare professionals to gain insight into the brain’s architecture and the pathological changes associated with various neurodegenerative diseases. Additionally, Jacob is developing pioneering “free-breathing” cardiac MRI techniques that enable patients to undergo scanning without the strenuous requirement of holding their breath, thereby improving patient comfort and accessibility in clinical settings.

The overarching goal of both professors is to leverage their research in signal processing and imaging technologies for the betterment of society. As healthcare costs continue to rise dramatically, Jacob envisions that machine learning and advanced signal processing methods can significantly reduce the expenses associated with medical imaging, thereby enhancing accessibility. He hopes that the recognition granted through the Distinguished Lecturer position will facilitate his interaction with local IEEE Signal Processing Society chapters. Such engagement will provide him with a platform to inspire young engineers about the profound impacts of signal processing and machine learning in medical settings and beyond.

Both Acton and Jacob are harnessing their expertise to address critical challenges faced by society. Through their efforts, they seek not only to advance technological capabilities but also to inspire the next generation of engineers and researchers. Effective education and mentorship are paramount for nurturing talent and innovation in an ever-evolving field like engineering. By participating in the Distinguished Lecturer Program, they can share their insights and research outcomes with a broader audience, potentially sparking interest in burgeoning technologies and facilitating collaborations across various disciplines.

As the landscape of engineering continues to expand with technological advancements, the engagement of established professionals like Acton and Jacob is vital. Their commitment to education and research exemplifies the core values of the IEEE community, emphasizing a collaborative spirit aimed at overcoming both academic and societal challenges. As they embark on their journey with the Distinguished Lecturer Program, their message will resonate widely—encouraging the exploration of innovative technologies while showcasing the importance of interdisciplinary collaboration in addressing pressing global issues.

In summary, the achievements of Professors Scott Acton and Mathews Jacob stand as a testament to the university’s dedication to excellence in engineering education and research. By receiving this coveted honorary designation, they not only solidify their positions as leaders in their respective fields but also lay the groundwork for future advancements in signal processing, artificial intelligence, and medical imaging. Their involvement with the IEEE Signal Processing Society is set to inspire others while championing the transformative potential of engineering innovation in the modern world.

Professors Acton and Jacob’s work represents the convergence of technology and human impact, highlighting the essential role that engineers play in shaping our future. Their stories serve as a source of inspiration for aspiring engineers and researchers, showcasing the possibilities that lie at the intersection of theory and practical application. As they prepare to share their knowledge through lectures and workshops, the engineering community stands to benefit immensely from their insights, potentially leading to future breakthroughs that can further revolutionize our understanding of technology’s role in society.

The journey of discovery is ever-evolving, and as Acton and Jacob step into their roles as distinguished lecturers, the world of engineering moves closer to realizing the profound impacts of their research—an endeavor that promises to enhance lives and reshape industries across the globe.

Subject of Research: Advanced Signal Processing and AI Applications in Medical Imaging
Article Title: UVA Professors Selected as IEEE Distinguished Lecturers
News Publication Date: October 2023
Web References:
References:
Image Credits: Tom Cogill/UVA School of Engineering and Applied Science

Keywords

Signal Processing, Image Analysis, Machine Learning, Healthcare, AI, Imaging Technology, Biomedical Engineering, Education