Michelle Edith Jarvie-Eggart

The Husky PAWS (Pathways for Academic Wellness and Success) S-STEM Program: Year Two

Adrienne Robyn Minerick, Michelle Edith Jarvie-Eggart, Kathryn Hannum, Briana Bettin et autres

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WIP: Autoethnography Assistant: An AI interview tool to support qualitative inquiry.

Jyoti Suhag, Laura Albrant, Lynn Albers, Michelle Edith Jarvie-Eggart et autres

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Assessing Productive and Receptive Spatial Skills in a Computerized Test Battery

Katrina Carlson, Michelle Edith Jarvie-Eggart

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Understanding Software Engineering Practices and Tools in Undergraduate Mechanical Engineering Students

Prisha Bhatia, Ramzey Burdette, Titilayo Oshinowo, Michelle Edith Jarvie-Eggart et autres

Though software development has increasingly become a part of modern engineering practice, even outside of computing, we lack a sufficiently deep understanding of how engineers in many disciplines learn and use software engineering practices and tools (SEPTs). SEPTs include, but extend beyond, …

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Jiving with LLMs: Assessing First Year Students’ Computer Programming Self Efficacy After Reading Code With LLMs

Michelle Edith Jarvie-Eggart, Joseph Roy Teahen, Daniel T. Masker, José J. Padilla et autres

This study investigated the impact of leveraging generative artificial intelligence (GenAI) to assist 1st-year engineering and computer science (CS) students in reading code in a new (to them) language. Students were asked to comment code in FORTRAN. They were then asked to …

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Jiving with LLMs: Assessing First Year Students’ Computer Programming Self Efficacy After Reading Code With LLMs

Michelle Edith Jarvie-Eggart, Joseph Roy Teahen, Daniel T. Masker, José J. Padilla et autres

This study investigated the impact of leveraging generative artificial intelligence (GenAI) to assist 1st-year engineering and computer science (CS) students in reading code in a new (to them) language. Students were asked to comment code in FORTRAN. They were then asked to …

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Engaging Students with AI for Code Comprehension, Critique, and Explanation

Laura Albrant, Jyoti Suhag, Ureel II Leo, Michelle Edith Jarvie-Eggart

Artificial intelligence (AI) has become increasingly influential in computer science (CS) education, where it holds potential for automating feedback and personalized learning. AI tools have been shown to increase equitability within CS, a notoriously male-dominated field, as well as increase the programming …

Pre-Conference Workshop: Podcast-Based Learning for Engineering and Computer Science Educators

Kurt G. Paterson, Justin J. Henriques, Michelle Edith Jarvie-Eggart, Mary Raber et autres

This interactive pre-conference workshop introduces engineering and computer science educators to podcast-based learning and teaching (PodBLT) as a dynamic, multimodal approach to enhance student engagement, comprehension, and creativity. Participants will gain hands-on experience in planning, recording, and editing educational podcasts, and explore …

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WIP: Understanding and Addressing Barriers to Industry Engagement in Undergraduate Engineering Programs

Brahim Medjahed, John J. Cristiano, Sebastian Dziallas, Jean Huang et autres

This work-in-progress research-to-practice paper presents an early-stage study aimed at advancing meaningful industry engagement in undergraduate engineering education. While such collaborations offer clear benefits for student motivation, skill development, and career readiness, their adoption remains limited. To explore current practices and barriers, …

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Examining Student Resolutions of Automated Critiques

Laura Albrant, Michelle Edith Jarvie-Eggart, Leo C. Ureel

This study examines the critique resolution strategies employed by students in introductory computer science and engineering courses when responding to automated critiques of their code. Drawing on data from both Computer Science (CS) and Engineering Fundamentals (EF) students using an automated feedback …

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BOARD # 461: The Husky PAWS (Pathways for Academic Wellness and Success) S-STEM Program

José‐Luis Padilla, Michelle Edith Jarvie-Eggart, Briana Bettin, Kathryn L. Hannum et autres

The Husky PAWS (Pathways for Academic Wellness and Success) NSF S-STEM program at Michigan Tech was awarded in 2023. Our team reviewed initial applications in Spring 2024 and launched the primer 3-week Husky PAWS Summer Bridge in 2024. The inaugural cohort included …

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BOARD # 469: WIP: Partnering to Prepare STEM Master Teachers for Michigan's Middle Schools - A National Science Foundation Robert Noyce Teacher Scholarship Program

Michelle Edith Jarvie-Eggart, Stephanie C. Tubman, Luke J. Bowman, Marianne Semones et autres

Michigan Technological University (MTU) and Northern Michigan University (NMU) have partnered with support from the National Science Foundation to prepare middle school science teachers to become leaders in STEM education. Through this collaboration, the project will recruit, train, and retain high-quality STEM …

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