Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

Wu Jiayi, Zhejiang University; Zhenyu Wu, Zhejiang University; Tuoyu Li, Zhejiang University

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

diverse engineering fields, collaborates tocreate a supportive and exploratory learning atmosphere, enabling students tocultivate essential interdisciplinary skills and mindsets.2.4 Program Features 4：Long-Cycle TrainingThe Advanced Engineering Education Program employs a long-cycle training systemto enhance the integration of scientific knowledge, industrial practices, andeducational development. Unlike short-term assessments, this approach emphasizeslong-term, process-oriented project evaluations. Spanning two years, the programfeatures year-long required courses such as “Introduction to Engineering”, whichprovide sustained opportunities for students to consolidate interdisciplinaryknowledge through continuous learning and practice.In the first

Conference Session

Software Engineering Division (SWED) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mohit Chandarana, Codio; Sindhu Ramachandra, Codio; Joshua Ball, Codio; Maura Lyons, Codio; Phillip Snalune, Codio

Tagged Divisions

Software Engineering Division (SWED)

assessment submissions - thatconsists of a User ID, Assignment ID, Course ID, Timestamp, Exit Code, Command and Output.The system is also instrumented to log ‘assistant-event’ data points that describe learnerinteractions with all three modules of the AI learning assistant, consisting of all the associatedIDs like the event data point, along with the Assistant Type, Page Content, Code File Content,Error Message, and the Assistant Response.Our system also computes the time spent on assignments by logging the start and end timestampsfor each active student session with the associated assignment and course IDs. It alsoautomatically filters out periods of inactivity. We combined all the system-collected event datawith assignment grades as seen in our

Conference Session

Industry and Technical Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Saki Taguchi, Shibaura Institute of Technology; Kasumi Hoshino, Shibaura Institute of Technology; Yutaro Tsuchida, Shibaura Institute of Technology; Sogo Fujita, Shibaura Institute of Technology; Hatsuko Yoshikubo Ph.D., SHIBAURA INSTITUTE OF TECHNOLOGY; Sumito Nagasawa Ph.D. in Engineering, Shibaura Institute of Technology

Tagged Divisions

Student Division (STDT)

Technology Grant for Educational Reform and Research Activity (AY2024). Her research interests include: (1) Impacts and potential benefits of including humanities components in science and engineering degree programs (2) Innovative methods of assessment in science and engineering education, especially in the context of remote learning, hybrid courses, and collaborative international programs (3) Solving systematic issues that impact the effectiveness of science and engineering education programs, in both in-person and remote learning contexts. In recent years she has been a presenter at the following international conferences: World Educational Research Association (WERA): WERA Conference 2019, 2022, 2023, 2024 Asia

Conference Session

Materials Division (MATS) Technical Session 6

Collection

2025 ASEE Annual Conference & Exposition

Authors

Joshua Paul Steimel, Humboldt State University; JuEun Lee, Humboldt State University

Tagged Topics

Diversity

Tagged Divisions

Materials Division (MATS)

inclusivity and reducing performance gaps forunderrepresented students [15, 16]. Such approaches address systemic inequities in STEMeducation, building confidence and enhancing the participation of historically marginalized groups[17, 18]. Initial results indicate that this course structure significantly increases studentengagement, academic performance, and equitable outcomes.Overall, this course represents a transformative model for integrating experimental research,computational modeling, and OER in a project-based framework. By promoting engagement andequity, the approach addresses critical challenges in engineering education. Future efforts willfocus on assessing long-term impacts on retention and career readiness, particularly

Conference Session

Supporting Teachers and Students in STEM+C Learning Beyond the Classroom

Collection

2025 ASEE Annual Conference & Exposition

Authors

Yuqing Pan, Shanghai Jiao Tong University; Jiabin Zhu, Shanghai Jiao Tong University

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

Paper ID #47265Organizing and Implementing STEM Co-curricular and Extracurricular LearningActivities in High Schools: The Functions and Roles of TeachersYuqing Pan, Shanghai Jiao Tong University Yuqing Pan is a Master’s Degree Candidate at the Graduate School of Education at Shanghai Jiao Tong University. Her research interest focuses on teaching and learning in engineering.Jiabin Zhu, Shanghai Jiao Tong University Jiabin Zhu is an Associate Professor at the Graduate School of Education at Shanghai Jiao Tong University. Her primary research interests relate to the assessment of teaching and learning in engineering, cognitive

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sarah Rajkumari Jayasekaran, University of Florida; Amie Baisley, University of Florida

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

outcomes.Dr. Amie Baisley, University of Florida Amie Baisley is currently an Instructional Assistant Professor at the University of Florida teaching primarily 2nd year mechanics courses. Her teaching and research interests are alternative pedagogies, mastery-based learning and assessment, student persistence in their first two years, and faculty development. ©American Society for Engineering Education, 2025 Exploring the Impact of Class Start Times on Student Engagement and Academic Performance in Second-Year Engineering CoursesAbstractWhen it comes to education at the college level, class scheduling is an important consideration.The time of day a class is scheduled for can impact various

Conference Session

Elements of decision making in engineering economics education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hartanto Wibowo, Iowa State University of Science and Technology; Jon Matthews Rouse

Tagged Divisions

Engineering Economy Division (EED)

microeconomics as an elective. Much of the content inthe engineering economics course revolves around the topics of time-value-of-money and riskanalysis, which are important to civil engineers as they deal with project management andproposals.While the fundamental concepts in the course have remained mostly unchanged throughout theyears, the students have not. A vast majority of the college students today belong to ‘GenerationZ’ with its unique challenges. Thus, Moore et al. [2] recommend five strategies instructors canintegrate into the classroom: (1) fostering active and problem-based learning, (2) helping withextracting answers from a plethora of information, (3) providing regular assessment andfeedback, (4) engaging creativity, and (5) helping

Conference Session

Engineering Technology Division (ETD) Technical Session 1

Collection

2025 ASEE Annual Conference & Exposition

Authors

Asif Ahmed, State University of New York, Polytechnic Institute; SATHVIKA KATIKANENI, State University of New York, Polytechnic Institute; Ashish Gunda, State University of New York, Polytechnic Institute

Tagged Divisions

Engineering Technology Division (ETD)

thermal anomalies. • Source: Earth Engine Data Catalog - FIRMS (Moderate Resolution Imaging Spectroradiometer). • Relevance: Provides timely information on active fire locations, aiding in monitoring and response efforts during wildfire events. 2. National Incident Feature Service (NIFS) Wildfire Perimeters (NIFC, 2023) • Description: Historical perimeters of large, notable wildfires in the US. • Source: Earth Engine Data Catalog - USFS_NIFS_WFIGS_CONUS. • Relevance: Offers detailed outlines of burned areas, facilitating post-fire analysis and assessment of wildfire impacts on ecosystems and communities. 3. LANDSAT/Sentinel Burn Severity (LANDSAT, 2023) • Description: Post-fire analysis

Conference Session

Minorities in Engineering Division(MIND) Technical Session 7

Collection

2025 ASEE Annual Conference & Exposition

Authors

Rebecca Zarch, SageFox Consulting Group; Bailey Alexandra Brown, Spelman College; Tamara Pearson, Georgia Institute of Technology; Talia Goldwasser, SageFox Consulting Group

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

students’ computingexperiences in K–12 and higher education within a framework to assess equity across multiplesectors of education. As part of this study, computer science majors at three institutions inMaryland and eleven institutions in Texas were invited to participate in an online survey. Thesurvey explored students’ current college experience, pre-college experience, sense of computingidentity, and demographic information. Data from the survey was examined by race and genderwith a focus on Black women.Our early analysis finds that despite white men making up a smaller share of computer sciencemajors, they still have more positive experiences, perceptions and self identity than otherstudents, particularly Black women.Theoretical FrameworkWe

Conference Session

New Engineering Educators (NEE) Technical Session 1 - Maximizing Student Interaction and Engagement

Collection

2025 ASEE Annual Conference & Exposition

Authors

Garrett Weidig, Michigan State University; Geoffrey Recktenwald, Michigan State University

Tagged Divisions

New Engineering Educators Division (NEE)

Cornell University and Bachelor degrees in Mechanical Engineering and Physics from Cedarville University. His research interests are focused on best practices for student learning and student success. He is currently developing and researching SMART assessment, a modified mastery learning pedagogy for problem based courses. He created a multi-year integrated system design (ISD) project for mechanical engineering students. He is a mentor to mechanical engineering graduate teaching fellows and actively champions the adoption and use of teaching technologies. ©American Society for Engineering Education, 2025 Increasing Participation in Late-Afternoon Friday Lectures: How

Collection

2025 ASEE -GSW Annual Conference

Authors

Paul J Componation, The University of Texas at Arlington

collaboration, and learning by continuous testing. Oneof the curriculum development approaches found to be helpful in this project was the AgileManifesto for Teaching and Learning8. The values of this manifesto included: Adaptability over prescriptive teaching methods Collaboration over individual accomplishment Achievement of learning outcomes over student testing and assessment Student-driven inquiry over classroom lecturing Demonstration and application over accumulation of information Continuous improvement over the maintenance of current practicesIn a review of research on Agile in higher education, there appears to be a focus on students as thecustomers of education. Other

Collection

2025 Northeast Section Conference

Authors

Paul Cotae; Nian Zhang; Onyinye Obioha-Val

evaluated by using a confusion matrix, precisionForest training classifier, our approach aims to provide a more recall F1 score and ROC curve to assess how well thereliable and accurate solution for imbalanced learning problems model handles the imbalanced data.in the context of standoff chemical detection. The primary objective of this paper is to develop a robust The detection of threat chemicals is crucial in ensuring decision-making framework to address the imbalanced learningsecurity across various sectors, including national defense, problem in the standoff detection of threat chemicals context.environmental monitoring, and industrial safety. Standoff

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Daron Marshall Weekley, Marshall University; Jace A McPherson-Duckworth, Marshall University; Anastasiia Sukhanova, Marshall Community & Technical College; Ananya Jana, Marshall University

, 8K, 6K, 4K, and 2K mesh cells. Models trained at lower resolutions are tested onhigh-resolution scans to assess performance. Our goal is to identify a resolution that balancescomputational efficiency and segmentation accuracy.IntroductionIntraoral scanning is a digital technique that captures a 3D representation of an intraoral region.These scans are widely used in digital dentistry for dental restoration, orthodontic treatmentplanning, smile design, and surgery. However, many of these tasks still require manualprocessing, such as annotation. Annotating a single scan can take 45 to 60 minutes. Hence,automatic methods are necessary to reduce the manual efforts.There are many deep learning-based methods that have been developed for the task of

Collection

2010 ASEE Zone 1 Conference

Authors

Anne E. Mohan; Enrique Sola; James Patrick Abulencia

industry, an engineer will often be handedmultiple projects at various stages of completion. An engineering practitioner must be able tomulti-task and prioritize projects in order to be successful. 2 Another major difficulty that entry-level engineers struggle with is the lack of definitivefeedback given in industry. While in college, an engineering student “knows” exactly how wellthey are performing based on the grades they are given. At work, no grades are given, and recentgraduates consequently find it difficult to assess their performance. Young engineers must learnto be proactive and seek feedback if none is offered. Finally, while

Collection

2010 ASEE Zone 1 Conference

Authors

Tom Goulding

several different days. TheThe Socratic instructor remains a rare species in instructor is also held to similar performancethe traditional campus classroom. However, we standards. The quality of the student posts isbelieve the explosive growth of online pedagogy important and is also assessed and graded.will rekindle interest in Socratic methods on thecollege campus. Online educators believe that the both quantity and quality of student to student and student to faculty3.0 THE ONLINE CLASSROOM engagement are essential to the success of the

Collection

2010 ASEE Zone 1 Conference

Authors

A. Richard Vannozzi

in our students the reasoning skills neededto find a useful button. This involves understanding what one needs the buttons to do before onebegins pushing them. Only then can the user thoughtfully choose which button from the specificsoftware’s array to push and then be able to assess whether the result of the button pushingaccomplished the technical goal. This is akin to having a hypothesis about what you expect the 1result of a scientific experiment to be before you embark on your lab work. And just likescientific lab work, CAD or GIS learning is not complete without both the hypothesis and theexperiment. Before discussing specific

Collection

2008 Northeast Section Meeting

Authors

Hudson V. Jackson; Evelyn A. Ellis

: Societal Impact Vending machines Technological Implications Example: Modeling of complex problems/computer simulation Relevance To Connections Present Day Figure 2.0: Example Course Structure -Schematics of Strategy for MathAt the end of each grade year, an assessment would be conducted to evaluate the level of capability,connections, confidence and cognition (4C’s) developed. This is the second level of the model and can beseen as taking stock of the quality and amount of imprinting already accomplished. It is to be noted

Collection

2011 Northeast Section Meeting

Authors

Michael J. Rust; Abe Kamal

using themean assessment response comparison (pre and post activity). The results of such comparisonsare shown in Table 3 below. Table 3 – Pre and Post Mean Assessment Comparisons for Teacher Workshop Proceedings of the 2011 ASEE Northeast Section Annual Conference University of Hartford Copyright © 2011, American Society for Engineering Education Question Mean Response (Pre) Mean Response (Post) 1 3.00 3.00 2 4.00 4.00 3 3.33 3.33The mean response

Collection

2011 Northeast Section Meeting

Authors

Buket D. Barkana; Nelson Ngoh; Allen Cook

unit illustrating the use of problem solving in this area over several grade levels.Evaluation and Assessment To assess and evaluate the students’ impressions of the new course, discussions were heldwith the students and a questionnaire was developed for distribution and collection at the end ofthe nine weeks. The questionnaire is given in Appendix with the combined responses shown inTable I. Table 1. Results of EDMM-600D STEM for Teacher Educators Evaluation Question % Agree % Neutral % Disagree Number (SA and A) (D and SD) 1 33 67 0 2

Collection

2012 ASEE Zone 1 Conference

Authors

Robert T. Bailey

the traditional method; and (2) the 2010 and 2011 classes (42students), who were taught by the author using the revised method. Student performance wasassessed by examining the Statics grade distributions in each cohort as well as the final examscores. (The same final exam was administered to each class.) In addition, perceived learningwas assessed via questionnaires that asked the students to evaluate their proficiency relative toseven specific course learning objectives. Student grades in freshman Calculus and Physics werealso examined to help identify a priori differences in cohort capabilities.Overall, quantitative analysis suggests that the revised approach did not significantly improvestudent learning. In fact a decrease in student

Collection

2012 Northeast Section Meeting

Authors

Ethan Danahy; Morgan Hynes; Leslie Schneider; Danielle Dowling

curriculum, instruction, and assessment practices that are oftennew for teachers and students [18, 20]. According to Dillenbourg and Jermann [6], technology can empowerteachers to dynamically orchestrate all attendant classroom activities. The role of researchers is not one of agents of“technology transfer” but as “innovation guides, who help schools…better understand how needs, approaches,benefits, and alternatives fit together compellingly and cohesively” [27] in order to develop solutions that addressthe obstacles to the successful execution of design-based inquiry lessons. THE INTERLACE PROJECTToward the goal of supporting the implementation of design-based inquiry projects in high school physicseducation

Collection

2015 Northeast Section Meeting

Authors

John E. Patterson

the same project work together tocomplete the project.References 1 Capen, M. (2002). “Testing Hypotheses, Parametric and Nonparametric”. Faculty Development Workshop, Summer 2002, Enhancing Basic Statistical Skills for Research Instruction. ECU’s Center for Faculty Development and the StatLab: Greenville, NC. 2 Hanna, B. (Personal Communication). 3 HAZUS. (1999). “Community Vulnerability Assessment Tool”. NOAA Coastal Services Center: Charlestown, SC. 4 NOAA. (1996). “Fran High Water Mark”. [Computer Software]. Charleston, SC: NOAA Coastal Service Center. 5 NOAA. (2003). “Community Vulnerability Assessment Tool”. [Computer Software]. Charleston, SC: NOAA Coastal Service Center. 6 Mileti, D. S. (1999

Collection

2014 ASEE Zone 1 Conference

Authors

Ashwin Satyanarayana; Hong Li; Josephine Braneky

individuals from across the department In order to increase the proportion of college graduates in the (including students, staff and professors) who are committedU.S., we must enable a greater percentage of our college-age to student success and meets regularly to assess progress ofpopulation to enroll in bachelors or associates education (i.e. the program. Changes to this program should be based onenrollment) and complete a degree in a timely fashion (i.e feedback from retention data and student satisfaction. Thisgraduation and retention). Although we have made significantadvances in our college graduation rates, improvement still is

Conference Session

Faculty Development Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Xiaping Li, University of Michigan; Maartje E. D. Van Den Bogaard, Iowa State University; Lea Marlor, University of Michigan; Laura Carroll, University of Michigan; Cynthia Finelli, University of Michigan

” such as requiring them to report their responses, arranging them “in their friend group”,or developing some collaborative activities to allow student groups to work “at their own pace”.One instructor had students assess one another after they completed an active learning activity,which could also “take some burden off” the instructor of grading.A few instructors made efforts to build “trust” and “rapport” with students to reduce students’anxiety and encourage student engagement during class. For example, instructors emailed “afunny, very personal” self-introduction video to students, asked students to share similar ones,and set up discussion platforms for students to post questions. In addition, instructors provided“one-to-one” virtual

Collection

2015 ASEE Zone 3 Conference

Authors

James R. Rowland

values framework” Journal of Engineering Education, 2009, 98(3), pp. 273-282.[8] J. R. Rowland, “A fine-grid ABET model for evaluating multidisciplinary teaming experiences”, Proc., 31st FIE Conference, Reno, NV, Oct 10-13, 2001.[9] J. R. Rowland, “Multidisciplinary teaming model sensitivity to curriculum revisions”, Proc., 32nd FIE Conf, Boston, MA, Nov 6-9, 2002.[10] P. Lewis, D. Aldridge, and P. Swamidass, “Assessing teaming skills acquisition on undergraduate project teams”, Journal of Engineering Education, April 1998, 87(4), pp. 149-155.[11] W. K. N. Anakwa, et al., “Development and control of a prototype active suspension system”, IEEE Trans on Education, Feb 2002, pp 43-49.[12] B. A. Oakley, D. M. Hanna, Z. Kuzmyn,, and R

Collection

2015 ASEE Zone 3 Conference

Authors

Cristinel Ababei; Anca M. Miron

results helps to: 1) foster self-learning, 2) engage students more and enable them to be pro-active and competition-aware, and3) enable a smoother transition from full-time student to full-time employee. We usedanonymous questionnaires as the primary methodology of data collection along with ratings ofthe projects in terms of extent of challenge/complexity and type of work (individual vs. team-work). The questionnaires assessed the following dimensions satisfaction, fairness, knowledgeacquired, challenge, feedback, and validation. Students are more satisfied with their learningexperience when they work in teams on more complex projects split into smaller subprojectsrather than working individually on projects, irrespective of their

Conference Session

Track 2: Technical Session 2: "Si no servimos, no servimos": A Pilot Study on the Influence of Perceived Advisor Support on Graduate Student Thesis Self-Efficacy

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Abimelec Mercado Rivera, Arizona State University, Polytechnic Campus; Brooke Charae Coley, Arizona State University, Polytechnic Campus; Samantha Ruth Brunhaver, Arizona State University, Polytechnic Campus

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

sequential multiple linear regression analyses to explore howindividualized and research support predicted students’ TSE as an exploration of RQ 1. Thisapproach allows us to independently assess the effects of the advisor support variables; the firstmodel includes individualized support, the second model assesses research support, and the fullmodel includes both individualized and research support variables.To examine how institutional context, measured by enrollment at an HSI, influenced theindividualized and research support students received from their advisors and, in turn, theirthesis self-efficacy, we followed a hierarchical linear regression approach to explore RQ 2. Thefirst model includes individualized, research support, and Institutional

Conference Session

Track 7: Technical Session 1: Agriculture & Nutrition for Girls While Encouraging Leadership & Stem-Enrichment (ANGELS) Program

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Sandra C Affare, University of Tennessee at Chattanooga; Marissa McElrone, University of Tennessee at Chattanooga; Rachelle Pedersen, Texas Tech University

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

participants’ social interactions and mentornetworks. We included an emphasis on technology through coding and computer science, variousengineering fields, and included a mental health focus. More pre- and post-assessments wereprovided to help decide ANGELS participants’ engineering identity and engineering communalvalues. This CoNECD paper will lead to a discussion on the importance of connecting academiaand the community as it relates to diversity in education, as modeled in the ANGELS Programs.Keywords: girls in STEM, Summer Program, Networks, non-traditional STEM educationIntroductionWhile many STEM fields (e.g., Biology) have made significant strides in supporting therecruitment and retention of some underrepresented groups [1], women

Collection

2015 Pacific Southwest Section Meeting

Authors

Tania Martinez; Amado Flores-Renteria; Jasmine Flores; Jolani Chun; Cheng Chen; Hezareigh Ryan; Wenshen Pong; Nilgun Ozer; Hamid Shahnasser; Hamid Mahmoodi; Amelito G. Enriquez; Albert Cheng; Kwok-Siong Teh; Xiaorong Zhang

goodness of fit. Figure 5. Statistical analysis of critical delay with respect to target error4. Project Outcomes AssessmentTo obtain a quantitative assessment of the project and further improve the project in the future,an exit survey was conducted for the four students participating the CiPair program includinganother twelve students in the mechanical, computer and electrical engineering research groups.Students were asked to rate their level of agreement with each question in a five-point scale: 1 –Not at all useful; 2 – A little; 3 – Some; 4 – Quite a bit; 5 – A lot. The tables below present thestudents' response to the survey questions. The survey was conducted anonymously to encouragecandid responses to the survey.Question: How

Collection

2015 Pacific Southwest Section Meeting

Authors

Abdur Rahman Amin

354conditions which limits the functionality of the human body overall. The systemsof the human body such as the cardiovascular system, the renal system, thesympathetic & parasympathetic nervous system, and immune system all need thisperiod of rest for overall body to function. However the relationship between blood pressure and sleep postures havenot been heavily studied in the past. There are some interesting epidemiologicalstudies assessing the relationship between the treatment of sleep apnea, a sleepdisorder characterized by gaps in breath or the prevalence of shallow andinfrequent breathing patterns during sleep and blood pressure. Hoyos and his teamdetermined that treating sleep apnea does indeed reduce central and peripheralblood