Conference Session

NSF Grantees Poster Session I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Milo Koretsky, Tufts University; Brian P. Self, California Polytechnic State University, San Luis Obispo; Christopher Papadopoulos, University of Puerto Rico, Mayaguez Campus; Michael J. Prince, Bucknell University; Dominic J Dal Bello, Allan Hancock College

Tagged Topics

Diversity, NSF Grantees Poster Session

workshop to 22 two- and four- year university faculty membersdedicated to concept-based active learning and the use of the Concept Warehouse. There was anoverwhelming response from our call, with 179 applications completed. Twenty-one (21) out of22 rated the summative question “Would you recommend this workshop to a colleague?” as“Strongly Recommend” and one (1) as “Recommend.”AcknowledgementsWe acknowledge the support from National Science Foundation (NSF) through grants DUE1821439, 1821445, 1821638, 1820888, and 1821603. The opinions, findings, and conclusionsare those of the authors and do not necessarily reflect the views of the NSF.References[1] President's Council of Advisors on Science and Technology. (2012). Engage to excel: Producing

Conference Session

NSF Grantees Poster Session I

Collection

2025 ASEE Annual Conference & Exposition

Authors

Paul Amoruso, University of Central Florida; Ivan Garibay, University of Central Florida; Joel Alejandro Mejia, University of Cincinnati; Laurie O Campbell, University of Central Florida; Florencio Eloy Hernandez, TAMUCC; Ronald F. DeMara P.E., University of Central Florida

Tagged Topics

NSF Grantees Poster Session

interactions, even ifthe actual number is slightly higher or lower than the intended target. The model uses NetLogoplabel values to quantify the number of topics a student comprehends, with this valuedynamically updating to reflect changes in course size as users add or remove students. The userinterface is designed to keep inputs and outputs on the left side, with basic parameters forsimulating course performance, while the dynamically changing course sizes are prominentlydisplayed in the square heatmap simulation. The heatmap visualization depicted in Fig. 2represents the course grading scheme, where green indicates low-risk students, yellow signifiesmedium-risk students, and red denotes high-risk DFW students. Fig. 2. User-Interface of the Model

Conference Session

Liberal Education/Engineering & Society Division (LEES) Technical Session 10: Institutions and Structures

Collection

2025 ASEE Annual Conference & Exposition

Authors

Saskia van Beers, University of Toronto; Cindy Rottmann, University of Toronto; Emily Moore P.Eng., University of Toronto

Tagged Topics

Diversity

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

in Canadian society more broadly.Transcending the prevalence of gender-based EDI research in engineering, Kwapisz et al. askedthree Navajo, Tohono O’odham participants to reflect on the relationship between engineeringculture and their own culture [22]. They found that one of the more powerful overlappingfeatures was the notion of engineering as a “process for community development” [22]. In heressay “Walking in Beauty on an Ever-Changing Path: A Leadership Perspective from a NativeAmerican Woman Engineer”, Zuni clan member Sandra Begay-Campbell documents hertrailblazing journey through engineering and leadership [23]. In particular, she illustrates howIndigenous engineers’ perceptions of leadership do not reflect the mythical norm of

Conference Session

Faculty Development: Grading and Artificial Intelligence

Collection

2025 ASEE Annual Conference & Exposition

Authors

Azadeh Hassani, University of Nebraska - Lincoln; Tareq Daher, University of Nebraska - Lincoln; Guy Trainin, University of Nebraska Lincoln; Jordan M Wheeler, University of Nebraska - Lincoln

Tagged Topics

Diversity

Tagged Divisions

Faculty Development Division (FDD)

shift are reflected in the current discourse onGenAI, especially after its rapid, widespread accessibility. While GenAI offers promisingbenefits, educational systems are struggling to keep up and find appropriate ways to integratethis transformative technology responsibly and prepare students, particularly future engineers,for the evolving demands of the workforce. The ever-growing and dynamic nature of GenAI, as one of the latest technologicaladvancements, aligns with the rapidly evolving needs of various engineering disciplines, offeringenhanced opportunities for student engagement and improved learning outcomes [5], [6]. Johri etal. [7] categorized the impacts of GenAI on research and teaching within engineering. Whileresearch

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - GenAI in ethics education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tori N. Wagner, University of Connecticut; Daniel D. Burkey, University of Connecticut

Tagged Divisions

Engineering Ethics Division (ETHICS)

, narrative-based game that immerses students in real-timeethical dilemmas. By placing students in authentic, problem-solving situations, Mars!encourages ethical reasoning that reflects the complexity and ambiguity of professional decision-making, rather than requiring students to apply pre-existing ethical frameworks in a detached,theoretical manner.Playful Learning and Stealth AssessmentThe integration of game-based learning into ethics education builds on research suggesting thatplayful environments encourage deeper engagement and more authentic decision-making [14].Narrative-driven games like Mars! provide students with interactive, immersive experiences thatrequire them to make ethical choices within realistic, high-pressure scenarios, rather

Conference Session

Tech Session 6: Transformative Practices in Evolving Learning Environments

Collection

2025 ASEE Annual Conference & Exposition

Authors

Benjamin Michael Wallen P.E., United States Military Academy; Chelsea Linvill, Department of Geography and Environmental Engineering; Michael A. Butkus P.E., United States Military Academy; Andrew Ross Pfluger P.E., United States Military Academy

Tagged Divisions

Environmental Engineering & Sustainability Division (ENVIRON)

a unit process and materials balance approach.Environmental topics explored include water transport and quality, drinking water treatment,wastewater treatment, and air pollution transport, quality and control. Due to the high studentenrollment, between four and six faculty teach the course each year. There are 40 lessons in thecourse, including 27 substantive lessons, 2 laboratories, 3 exams, 2 field trips, and 2 lessonsdesignated as engineering design project (EDP) work sessions. The two laboratories requiredgroup submissions for a jar test laboratory and a wastewater analysis laboratory. The two fieldtrips incorporated individual reflections based on a trip to the West Point water treatment plantand a trip to the West Point wastewater

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mudasser Fraz Wyne, National University; Alireza Farahani, National University; Lu Zhang, National University

Tagged Divisions

Computing and Information Technology Division (CIT)

sectors to prepare society to thrive inan increasingly AI-driven world [3, 7]. While some AI specialists argue that a fundamentalunderstanding of AI may not be necessary [8], we contend that equipping individuals withfoundational knowledge of AI and its diverse, ever-expanding applications is essential[9,10,11,12]. This includes fostering opportunities for scientists, engineers, medical professionals,and anyone working with data to grasp the basics of machine learning, deep learning, and other AItechniques shaping our world. We do not suggest that every student needs a Ph.D. in AI or machinelearning; rather, we emphasize the importance of broader education to meet society's diverse needs[12]. Educators, as reflective practitioners, have a unique

Conference Session

Interdisciplinary Approaches to High School Engineering: Perceptions, Pathways, and Pedagogies

Collection

2025 ASEE Annual Conference & Exposition

Authors

Karen B. Plaster, The University of Akron

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

integrate mathematical analysis and modeling in a way that reflects its central role inengineering problem-solving [2, 4, 5]. This gap in instruction suggests that K-12 students maynot fully understand how mathematical reasoning underpins engineering design, which limitstheir ability to develop critical problem formulation skills [6].To effectively prepare students for the challenges of engineering careers, it is essential tointegrate problem-solving and analytical skills into the K-12 mathematics curriculum. As definedby the National Academies [7], engineering education revolves around real-world applications ofscientific principles through an iterative problem-solving process. However, despite its growingemphasis in K-12 education [8

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - GenAI in ethics education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Bernd Steffensen, University of Applied Sciences Darmstadt/European University of Technology; Bettina von Römer, University of Applied Sciences Darmstadt

Tagged Divisions

Engineering Ethics Division (ETHICS)

.” (translated with deepl) [1: p.74].In the general discussion, this requirement is reflected, for example, in the concept of the t-shaped engineer, whose strength is seen in the great variety of interdisciplinary skills, which,in addition to mastering foreign languages, include cultural and communicative skills. In addi-tion, young engineers are expected to think systemically and holistically, as well as to be ableto critically reflect on their own actions [2], [3]. A critical examination of the concept of the t-shaped engineer and a literature review in the context of the ASEE can be found in [4].The aim of these approaches is to lay a foundation for a technology and product developmentprocess that takes into account the non-technical and non-economic

Conference Session

Computing and Information Technology Division (CIT) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Utsab Khakurel, Howard University; Danda B Rawat, Howard University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

reflects a marginallyhigher approval rate for females, the model learned to favor this outcome. Consequently, the SPDis 0.02 and DI is 1.05, indicating a slight bias in favor of the unprivileged group in the predictedoutcome. This underscores the importance of using rate-based fairness metrics when evaluatingmodel bias, as raw outcome counts alone can be misleading. Figure 8: Data distribution of Statlog based on prediction label and sex Figure 9: Performance evaluation of the model using biased training data Figure 10: Performance evaluation of the model using unbiased training dataFigure 9 presents the classification metrics of the biased model, which achieved 0.865 accuracy,0.866 precision, and 0.865 recall/F1

Conference Session

Construction Engineering Division (CONST) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Blanca Esthela Moscoso; David Francisco Coronado; MiguelAndres Andres Guerra P.E., Universidad San Francisco de Quito USFQ; Valeria Dayana Izurieta

Tagged Divisions

Construction Engineering Division (CONST)

testing, such as weekly quizzes, encourages continuous learning and better testperformance by helping students develop effective study habits [41]. This phenomenon, knownas "washback," demonstrates that frequent assessments foster practice and review, contributingto improved retention and understanding [42]. The positive effects of regular evaluations are alsoassociated with students’ ability to organize and apply their knowledge more effectively.In contrast, the use of grades as a sole indicator of academic success has limitations, as they donot always reflect the depth of a student's knowledge or understanding of a subject [43]. Whilegrades serve practical purposes, they may not accurately indicate how well students havemastered material or

Conference Session

ENT-2: Bridging Faculty and Student Perspectives in Entrepreneurial Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Katherine Jiawen Ren, University of North Carolina at Charlotte; David K Pugalee, University of North Carolina at Charlotte; Audrey Rorrer, University of North Carolina at Charlotte; Praveen Ramaprabhu, University of North Carolina at Charlotte; Mesbah Uddin, University of North Carolina at Charlotte; H. P. Cherukuri, University of North Carolina at Charlotte; Terry Xu, University of North Carolina at Charlotte

Tagged Topics

Diversity

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

, emphasizing that entrepreneurial metacognition is rooted in theexternal environment, metacognitive awareness, metacognitive knowledge and experience,metacognitive strategies, and metacognitive monitoring [15]. This model highlighted howentrepreneurs develop a "higher-order" cognitive process in nature to navigate and succeed intheir entrepreneurial pursuits. This study adjusted Haynie et al.’s entrepreneurial metacognitionmodel to build the conceptual model (Figure 1). The model demonstrated how students’entrepreneurial metacognition awareness developed through the metacognitive monitoring andmetacognitive reflection processing (Figure 1).Figure 1Adjusted entrepreneurial mindset metacognition model External Environment Student

Conference Session

Innovative Pedagogies and Assessment Strategies

Collection

2025 ASEE Annual Conference & Exposition

Authors

Spencer Johnathan Sabatino, Cornell University; Allison Godwin, Cornell University; Trevor Franklin, University of Colorado Boulder

Tagged Topics

Diversity

Tagged Divisions

Chemical Engineering Division (ChED)

homework and design milestone submissions within a week of receivingfeedback with a required reflection on what the specific conceptual error was and how to addressthat error in future work. Two sets of summative assignments were given: 1) a preliminary examof the core concepts taught in the semester and 2) the final design report. Only Well-Developedscores were used to demonstrate an understanding of the core course learning objectives. In otherwords, there was no partial credit in the course.At the end of the term, students were asked to reflect on their demonstrated understanding of thecourse learning objectives and to use a guideline for “grade bins” (i.e., what constituted theminimum requirements for A, B, C, D, and F grade in the course) to

Conference Session

ME Division 8: Measuring What Matters: Concept Inventories, FE Exam, and Learning Skills

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ozge Uyanik, University of South Florida; Autar Kaw, University of South Florida; Rasim Guldiken, Oklahoma State University

Tagged Divisions

Mechanical Engineering Division (MECH)

can utilize CIs as a benchmark to measure progress in bridging this gap [16].The work led by David Hestenes [17, 18] has contributed significantly to the widespread use ofCI as an assessment tool across engineering and various other disciplines [15, 16]. TheMechanical Diagnostic Test was designed and validated to evaluate students' basic knowledge inIntroductory Physics courses. Initial versions required written responses; however, the finalversion adopted a multiple-choice format, incorporating answers that reflected prevalentmisconceptions as alternatives [16, 18]. To enhance the Mechanics Diagnostic Test, the ForceConcept Inventory (FCI) was created to evaluate students' general understanding of theNewtonian concept of force. The inventory

Conference Session

ERM Technical Session: Strategies for Student Support

Collection

2025 ASEE Annual Conference & Exposition

Authors

Matthew Bahnson, Purdue University at West Lafayette (COE); Eric Trevor McChesney, University of Pittsburgh; Allison Godwin, Cornell University; Christian D Schunn, University of Pittsburgh; Linda DeAngelo, University of Pittsburgh

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

ispervasive and normative [16]-[21].Academic performance represents one of the strongest predictors of continued success andenrollment [2], [22]-[25]. Alone, performance measures insufficiently predict persistence inengineering and reflect biased measurements of competence that selectively disadvantage BLIstudents [25]-[28]. Deficit-based interventions frame students as in need of alteration rather thanthe systems that generate and perpetuate inequities [29], [30]. As such, deficit frameworks fail toaddress the ecological context of engineering classrooms that shape students’ development andpersistence choices. Therefore, interventions addressing the ecologies and messages that supportself-efficacy beliefs can generate environments that better

Conference Session

Engineering Physics and Physics Division (EP2D) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Taiwo Raphael Feyijimi, University of Georgia; Landon Todd Smith, University of Georgia

Tagged Topics

Diversity

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

persistence are key drivers of success, asstudents who believe in their abilities are more likely to tackle complex problems with resilience.This is particularly relevant in spatial reasoning, where tasks such as mental rotation and objectmanipulation require sustained cognitive effort. Students with strong work ethics and enjoymentof physics problem-solving outperform their peers, as intrinsic motivation enhances cognitiveresource allocation and perseverance [10], [11]. Intrinsic motivation, fostered by positive attitudestoward physics, directly supports the development of spatial abilities. Enjoyment in solvingphysics problems reflects an alignment of interest and capability, which facilitates deeperengagement with abstract and spatially demanding

Conference Session

Design in Engineering Education Division (DEED) - Visual Strategies in Design

Collection

2025 ASEE Annual Conference & Exposition

Authors

Daniil Nikitin, Florida Polytechnic University; Matthew Mueller, PTC; Alexander R. Murphy, Florida Polytechnic University

Tagged Divisions

Design in Engineering Education Division (DEED)

students wereprovided with an engineering drawing of a part that they needed to model and were allotted 45minutes to complete the assignment. After this 45 minutes, these students were taken to ademonstration of an FDM manufacturing process. Students in the control condition still had anopportunity to observe a manufacturing demonstration as it was part of the course content butwas adjusted to occur after the modeling activity to ensure educational equivalence. In the last 15minutes of the lecture period, students were brought back to their classroom and asked to fill outa survey on their prior manufacturing experience as well as a short reflection assignment on themanufacturing demonstration and CAD process. Those who did not consent to the study

Conference Session

Lightning Talk - "Innovating for Impact: Community-Engaged Education, Technology, and Infrastructure for a Sustainable Future

Collection

2025 ASEE Annual Conference & Exposition

Authors

Abigail Clark, Ohio Northern University; Rachel Louis Kajfez, The Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Community Engagement Division (COMMENG)

Test (DAET) [35], though the second instance of the DAET was slightly modified toask participants to draw what it would be like if they were engineers. The DAET images wereused to facilitate portions of the interview. The lead author acted as the main interviewer, and asecond researcher who had also been trained in the interview protocol attended to take notes.These interviews generally focused on how the participants view engineers, engineering, andthemselves in relation to engineers and engineering, though also included questions about thelearning environment by asking participants to reflect on the similarities and differences betweenlearning in Girl Scouts and learning in another setting. The interviews were semi-structured innature to

Conference Session

ME Division 10: Innovation in the Sophomore Year

Collection

2025 ASEE Annual Conference & Exposition

Authors

Matthew Stephen Barner, University of Portland; Sean Lyle Gestson, University of Portland

Tagged Divisions

Mechanical Engineering Division (MECH)

Curriculum for StaticsAbstract Statics is a common sophomore level course that for many students is their firstengineering applied physics course. This introduction to engineering mechanics serves as aprerequisite for mechanics of materials and dynamics. Students often struggle in statics as theyare exposed to the content for the first time, but typically develop better statics problem solvingskills in the subsequent courses of mechanics of materials and dynamics. The purpose of this study was to access the insights that students in mechanics ofmaterials and dynamics have when reflecting back on their statics curricula with the goal ofleveraging those insights as an opportunity for students to develop learning activities or aids

Conference Session

ENT-2: Bridging Faculty and Student Perspectives in Entrepreneurial Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tyler James Stump, The Ohio State University; H. Schwab, The Ohio State University; Sydney Cooper, The Ohio State University; Krista M Kecskemety, The Ohio State University

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

focuses on the initial validation forindirect assessments for Connections & Creating Value, the final two missing assessment toolsfor the assessment bundle sought after.The initial validation analysis was anchored in identifying face validity and content validity ofthe instrument. Expert judgements from reviewers with expertise in EML and/or instrumentconstruction were collected for assessment items for each item aligned to the two indirectassessments. Validation evidence interrogated both the instruments (scales) and the assessmentquestion (items). Face validity was assessed using statistical analyses including Item FaceValidity Index and Average Scale Face Validity Index. Content validity, reflecting expertopinions on the instrument's

Conference Session

Messaging, Motivations and Supports for Women Engineers

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jessica Ohanian Perez, California State Polytechnic University, Pomona

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering Division (WIED)

university. Ideally, this wouldallow for the demographics of the university to reflect the area it serves. As a system, the CSUhas ABET accredited engineering programs at 16 of its 23 regional campuses. These programstrail the national average for degree attainment by women in engineering. System-wide onlyabout 17% of degrees in engineering are awarded to women [3]. The low rate of women attainingengineering degrees at CSU campuses is influenced by several factors. Bowman highlightscompetition between the UC and CSU systems for students, a heavy reliance on communitycollege transfers, and a limited range of locally available degrees, all of which can restrictwomen’s participation at CSU [1]. With a system wide decrease of over 20,000 students

Conference Session

ME Technical Session 1 - Enhancing Mechanical Engineering Education: From Prerequisites to Practice

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ozgul Yasar-Inceoglu, California State University, Chico; JoAna Brooks, California State University, Chico; David G Alexander, California State University, Chico; Sam Lloyd-Harry, California State University, Chico

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering Division (MECH)

classmates, reflection on learning, being curious, contributing to the class,helping other students, constructive criticisms, and seek input. Students evaluated the questionsusing a 6-point scale: Weekly, Monthly, One or two times, Never, I don’t know, I prefer not torespond. The questions are as follows:In this course, I was encouraged to 1. discuss elements of my investigation with classmates or instructors. 2. reflect on what I was learning. 3. be curious. 4. contribute my ideas and suggestions during class discussions. 5. help other students collect or analyze data. 6. provide constructive criticism to classmates and challenge each other's interpretations. 7. share the problems I encountered during my investigation

Conference Session

ERM Technical Session: Developing Engineering Competencies III

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tanveer Mansur Syed, Florida Institute of Technology; Godwyll Aikins; Catherine G. P. Berdanier, The Pennsylvania State University; Kim-Doang Nguyen, Florida Institute of Technology

Tagged Divisions

Educational Research and Methods Division (ERM)

was grounded in the thematic analysis frameworkproposed by [17]. To refine the interview protocol, we conducted a pilot study with fourparticipants, transcribing and analyzing the data to ensure it effectively elicited the desiredinformation. This process helped us identify and resolve ambiguities, adjust the interview flow,and confirm our ability to capture the intended perspectives. Guided by the engineering identityframework and partially reflecting expectancy-value theory, the protocol was designed to explorekey aspects of engineering identity formation and students' expectations and values related to dataskills. This theoretical foundation allowed us to thoroughly examine students' learning processesand identity development as engineers

Conference Session

First-Year Programs Division (FPD) Technical Session 4: Fostering Belonging - Identity, Self-Efficacy, and Retention

Collection

2025 ASEE Annual Conference & Exposition

Authors

Cassie Wallwey, Virginia Polytechnic Institute and State University; James Nathaniel Newcomer, Virginia Polytechnic Institute and State University

Tagged Divisions

First-Year Programs Division (FPD)

phases: forethought through task analysis and self-motivation,performance through self-control and self-observation, and reflection through self-judgment andself-reaction [14]. Students who develop better SRL skills can better adapt to college, especiallyin courses based on calculation skills [15]. However, if students are left to develop SRL skills ontheir own, they very often fail to develop these skills in a timely manner enough so to avoidacademic peril [16].First-year engineering courses are well-positioned in the curriculum sequence to aid in students'adjustment to college learning and the early development of their SRL skills to avoid negativeacademic consequences. The work reported in this paper seeks to take the first steps in

Conference Session

First-Year Programs Division (FPD) Technical Session 6: Learning by Doing - Contextual and Community-Based Engineering

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rebeka Lynn Yocum, Oregon Institute of Technology; Ashton Danielle Greer, Oregon Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FPD)

6) Optimize Design 9 Communicate Results 7) Communicate Solution 10 Final Thoughts & Project Reflections 11 Final Exam Period: Final game playthrough 7) Communicate Solution Figure 1. Graphical representation of the engineering design process used in ENGR102The remainder of this section is dedicated to describing how each step in the design process wasintroduced in the class, and how each step relates to the course objectives.Step 1: Define the ProblemAt the start of the term, students were introduced to the engineering design process as a whole,were given a broad overview of the course objectives and final project, and completed

Conference Session

Computers in Education Division (COED) Track 2.B

Collection

2025 ASEE Annual Conference & Exposition

Authors

Runu Proma Das, University of Georgia; Tathyana Moratti, University of Georgia; Shari Gasper, University of Georgia; Beshoy Morkos, University of Georgia

Tagged Divisions

Computers in Education Division (COED)

demographic survey using Qualtrics onthe computer screen, which reflects their education level, understanding of manufacturing class,and knowledge of Gen-AI tools in education. Following the survey's completion, participantsengaged in a selection process for manufacturing problem topics, where they chose and solvedthree out of four provided problems (e.g., Bending, Extrusion, Forging, Machining). Continuingwith the experiment procedure, participants solved the three selected problems through the pen-and-paper format. Participants were not informed about the origins (e.g., Textbook, AI,Textbook+AI) of the problem generation during the problem selection and solving period; suchdetails were revealed at the end of the experiment. On average, participants

Conference Session

Engineering Technology Division (ETD) Technical Session 6

Collection

2025 ASEE Annual Conference & Exposition

Authors

Michael Routhier, University of New Hampshire; Barrett Nelson Rock, University of New Hampshire

Tagged Divisions

Engineering Technology Division (ETD)

drones), handheld digital spectrometers, and geographic information systems (GIS),are used to capture, store, analyse, or visualize the characteristics and locations (coordinates) ofreal-world phenomena [17], [19], [20]: - UAVs are autonomous aircraft that can be used to remotely sense the reflectance of light off the earth's surface with on board visible light cameras or infrared sensors. The imagery captured with UAV sensors can be used to map vegetation species or physical elevations over a study area [17], [19], [21] – [23]. For instance, Williams et al. [18] used UAVs to create digital elevation models to teach students about physical geography

Conference Session

GSD 3: Pedagogy and Curriculum

Collection

2025 ASEE Annual Conference & Exposition

Authors

Claudia G Cameratti-Baeza, University of Michigan; Charlie Michaels, Center for Socially Engaged Engineering & Design, University of Michigan

Tagged Divisions

Graduate Studies Division (GSD)

ofeducational session is to provide a framework to conduct socially engaged engineering anddesign, providing students with opportunities to actively try out a set of tools and practices thatwill support their design decisions and the generation of engineering solutions.The second type of content the center offers is anchored in a case study initiative, which partnerswith engineering instructors to develop original case studies highlighting the importance ofsocially engaged engineering processes and the impacts of engineering work on society. The goalof the case studies is to present realistic and immersive microhistorical scenarios that encouragestudents to engage deeply with the nuances of challenges faced by engineers and reflect onlessons from past

Conference Session

Computing and Information Technology Division (CIT) Technical Session 10

Collection

2025 ASEE Annual Conference & Exposition

Authors

Abdulmalek Al-Gahmi, Weber State University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

thatcould take place within these systems often do not, resulting in the collected data being lesscomprehensive and accurate in reflecting students’ progress through courses than it could be.Second, there is significant inconsistency and variance in how these systems are used byinstructors. Even sections of the same course at the same department/college can look vastlydifferent depending on the instructor, the modality, and other factors. Such inconsistencies affectthe quality of the data and can undermine its effectiveness.That said, a body of research has explored the use of LMS data to predict student performance atthe course level. A frequently posed question in these studies is whether student performance canbe accurately predicted early

Conference Session

Engineering Libraries Division (ELD) Technical Session 4

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sarah Over, Virginia Tech; C. Cozette Comer, Virginia Polytechnic Institute and State University; Connie Stovall, Virginia Polytechnic Institute and State University; Jiren Wang, Virginia Polytechnic Institute and State University; Jackson K. Hoch, Virginia Polytechnic Institute and State University; Emily Sue Mazure, Virginia Polytechnic Institute and State University; Rachel Ann Miles, Virginia Polytechnic Institute and State University

Tagged Divisions

Engineering Libraries Division (ELD)

, the goal of research analysis is not to reduce scholarly contributions to a set ofmetrics, but to offer meaningful, contextualized information that can inform planning, supportstrategic initiatives, and foster reflection on scholarly activity and research impact.Software & ToolsResearch analysis can also involve a variety of software-based tools and coding in languagesincluding Python or R. Unlike the proprietary/subscription resources listed above, many of thesetools are open access or at least at a more accessible price point for many libraries. Thesesoftware and tools also tend to have active support networks online with many YouTube videos,Reddit threads and even code packages on GitHub. Here we highlight some of the numeroussoftware