Conference Session

Architectural Engineering Division (ARCHE) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jose G. Rangel-Ramirez, Tecnologico de Monterrey; Saul E. Crespo, Tecnologico de Monterrey ; Miguel X. Rodriguez-Paz, Tecnologico de Monterrey ; Luis Horacio Hernandez Carrasco P.E., Tecnologico de Monterrey

Tagged Divisions

Architectural Engineering Division (ARCHE)

 Blended learning models G7. EDUCATIONAL G8. DIGITAL TOOLS AND G9. STUDENTS ENGAGEMENT ASSESSMENT METHODS APPLICATIONS AND MOTIVATION Competency-based  Educational software  Student-centered learning assessment  Simulation tools  Engagement strategies Peer assessment  Learning management  Motivational techniques Self-assessment systems  Interactive learning environments Rubrics  Education apps  Gamification in Education Formative and summative  Online quizzes and exams evaluationG10

Conference Session

Transgression, Conflict, and Altruism

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jenna Tonn, Boston College; Avneet Hira, Boston College

Tagged Divisions

Liberal Education/Engineering & Society Division (LEES)

reimaginingengineering education as one informed by tensions (Cheville and Heywood, 2016) and inherentto the “wicked” or sociotechnical pursuit of engineering design (Coyne, 2005; Norman &Stapper, 2015).We are writing from our positions as founding faculty members of an engineering department ina liberal arts institution coming from scholarly traditions in science and technology studies andengineering/engineering design education. In this paper, we hope to conceptualize “engineeringas conflict” as an analytical framework for engineering liberal education and share examplesfrom our curricular and program development work.Context and positioningBelow we share our disciplinary backgrounds and current teaching contexts to help situate howwe use the analytical

Conference Session

ELOS Technical Session 2 - Beliefs, Motivation, and Pedagogy

Collection

2024 ASEE Annual Conference & Exposition

Authors

Blessing Isoyiza Adeika, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University

Tagged Divisions

Experimentation and Laboratory-Oriented Studies Division (DELOS)

such as LOPUS and COPUS [4].However, unlike manual observations, this study’s AI model will use computer vision and deeplearning techniques to automatically analyze the classroom videos and provide objective andtimely data on the learning process.Figure 2: Experimental-centric Learning cycle. 2. Social Constructivism and Collaborative Learning: Idaresit’s work [25] emphasizes the essential role of social interaction in constructing knowledge . Building on this, the study adopts the theory of social constructivism, acknowledging the significant role of collaboration and peer learning within experiment-centric classrooms [26]. Therefore, this study’s AI model will therefore go beyond individual analyses, utilizing graph

Conference Session

Educational Research and Methods Division (ERM) Technical Session 11

Collection

2024 ASEE Annual Conference & Exposition

Authors

David Paul Fernandez, Utah Valley University; Walker Eads, Utah Valley University; Israd Hakim Jaafar, Utah Valley University; Abolfazl Amin, Utah Valley University; Abdennour C. Seibi, Utah Valley University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

, persistence, and has beenlinked to a boost in students’ motivation to learn (Ditta, Strickland-Hughes, Cheung, & Wu,2020). Undergraduate research experience was also found to better equip students for graduateschool or careers (Sell, Naginey, & Stanton, 2017; Altman, et al., 2019). Through undergraduateresearch, students learn professional skills such as maintaining notes, identifying researchproblems, reading scientific literature, collaborating with peers in a research setting, and writingand presenting findings to an audience in their field of discipline (Carpenter & Pappenfus, 2009).Undergraduate research is said to be one of ten high impact practices shown to enhance andimprove college student performance and success (Kuh, 2008). A

Collection

2024 South East Section Meeting

Authors

Arezou Shafaghat, Kennesaw State University; Mohammad Jonaidi; Hoseoen Lee; Craig A Chin, Kennesaw State University; Ali Keyvanfar, Kennesaw State University

Tagged Topics

Diversity

Engagers: Show hesitation or uncertainty, need additional support to engage moreactively.'Z' (Assessment Wants) explored are: - Direct Submission Assessment: For submission assignments that involve submitting workdirectly, such as assignments, projects, or exams. - Indirect Submission Assessment: For submission assignments that involve feedback orevaluation from others, like peer reviews or self-evaluations. - Qualitative Submission Assessment: For submission assignments that involve non-numericalevaluation, focusing on quality of writing, understanding, or creativity. - Quantitative Submission Assessment: For submission assignments that involve numericalevaluation, such as grades or scores. - Direct Formative Assessment: Assignments

Conference Session

Broader Approaches to Engineering Ethics Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bono Po-Jen Shih, Pennsylvania State University; Benjamin Daniel Chambers, Virginia Polytechnic Institute and State University; Matthew James P.E., Virginia Polytechnic Institute and State University

Tagged Divisions

Engineering Ethics Division (ETHICS)

), and individualuniversity professors [4, 14]. At present, the paradigm of primarily using ethical theories andcodes of ethics has been challenged (e.g. [15]) and seems to be in decline [16, 17], and ethicspedagogies additionally include the development of case studies, codes of ethics, or decision-making processes by students, community-based engagement and learning, peer mentoring,critiquing ethical theories, and gamification of ethics education [18]. Specific strategies forpositioning course activities and modules further include stakeholders and the perspective-taking, communication, and engagement process surrounding different participant roles [19, 20,1 ABET requires continuous improvement of engineering programs and in the long run

Conference Session

Cooperative and Experiential Education Division (CEED) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Darcie Christensen, Minnesota State University, Mankato; Alexander Steven Victor Krummi; Arynn J. Lorentz, Iron Range Engineering; Cody Mann, Minnesota State University, Mankato; Kaitlyn Mann; Andrew Lillesve, Minnesota State University, Mankato

Tagged Divisions

Cooperative and Experiential Education Division (CEED)

Paper ID #41559Preparing Students to Thrive in Industry: The Critical Role of a LearningCoachDr. Darcie Christensen, Minnesota State University, Mankato Dr. Darcie Christensen is a probationary Assistant Professor in the Department of Integrated Engineering at Minnesota State University Mankato. She teaches for Bell Engineering, which is a subset of Iron Range Engineering on the Mesabi Range College Campus. Dr. Christensen received her Ph.D. in Engineering Education from Utah State University in the Summer of 2021. The title of her Dissertation is ”A Mixed-Method Approach to Explore Student Needs for Peer Mentoring in a

Conference Session

Engineering Physics and Physics Division Technical Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

JAMES WANLISS, Anderson University

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

which we have created that are inalignment with ABET standards.Table 3. Course Learning Outcomes. Learning Outcomes Specific Goals 1. Demonstrate Independently use PyTorch to implement and analyze various Proficiency in PyTorch deep learning models. 2. Apply Deep Learning Apply deep learning techniques to solve engineering problems; to Engineering Problems demonstrate the ability to choose appropriate models for specific tasks. 3. Evaluate Model Evaluate the performance of deep learning models using relevant Performance metrics and make informed decisions based on the results. 4. Collaborate Collaborate with peers on coding projects

Conference Session

Women in Engineering Division (WIED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ahjah Marie Johnson, University of Cincinnati; Samieh Askarian Khanamani, University of Cincinnati; Mark Okoth Onyango, University of Cincinnati; Whitney Gaskins, University of Cincinnati

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering Division (WIED)

, yielding findings that suggest thatwomen and non-white students who received the letter-grade C in an introductory STEM courseare less likely to complete a STEM degree than white male counterparts. Despite Black andHispanic students declaring STEM majors at the same rate as their white peers, they are pushedout of STEM at disproportionate rates regardless of academic preparation, intellectual ability, ortheir affinity for STEM [8], [17],[18]. Additionally, they are often depicted as being without ormore so, at a deficit to be academically successful in STEM.Meritocratic ideologies or the belief that individuals are successful because of their own merit asopposed to historical, social and institutional barriers in place underscore STEM culture for

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Burcu Ozden, Pennsylvania State University; Michael Kagan, Pennsylvania State University; Matthew A. Fury, Pennsylvania State University; Andrei Blinkouski, Pennsylvania State University; Zafer Hatahet, Embry-Riddle Aeronautical University, Prescott; John Majewicz, Pennsylvania State University

Tagged Topics

Diversity, NSF Grantees Poster Session

140 paired with PHYS 211, andPHYS 212 paired with EE210. This approach is designed to foster a sense of community amongstudents and provide them with a more meaningful education, where abstract mathematicalconcepts gain practical significance in physics, and challenging physics concepts are elucidatedthrough applications in engineering. Moreover, students enrolled in this program receive supportthrough peer tutors, dedicated academic advisers and faculty mentors, and tailored mentorshipfrom alumni engineers possessing industry experience. These additional resources aim to furtherbolster the academic and career success of the students involved.The program aims to offer valuable insights to faculty and institutions currently engaged in

Conference Session

Educational Research and Methods Division (ERM) Technical Session 21

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kelsey Scalaro, University of Nevada, Reno; Indira Chatterjee, University of Nevada, Reno; Ann-Marie Vollstedt, University of Nevada, Reno; Adam Kirn, University of Nevada, Reno

Tagged Divisions

Educational Research and Methods Division (ERM)

], but less is known regarding howengineering students develop these recognition beliefs. Existing identity work has illustrated that students perceive recognition differentlydepending on who the recognition is coming from [10], [13], [14]. The difference betweensources of recognition is most often explored in terms of the prevalence of recognition fromdifferent groups including peers, family, and faculty. Engineering faculty have been identified ashigh impact sources of recognition, but this has been mostly explored with respect to thefrequency of interaction with engineering students in an educational context [13], [15], [16].While recognition from engineering faculty has been considered supportive of students’ overallrecognition beliefs

Conference Session

First-Year Programs Division Technical Session 2: AI, Computation, and Electronics

Collection

2024 ASEE Annual Conference & Exposition

Authors

William Davis Ferriell, University of Kentucky

Tagged Divisions

First-Year Programs Division (FYP)

image processing that find markers in acomplex background or control a background to find an object in an image.An example of the first type of task—find markers in a complex background—is used in aproject where students create a semi-automated toy for a hypothetical child with a disability.The toy launches a ping pong ball at a target. The distance and angle to the target is found usingmachine vision, and then the launcher is turned and raised or lowered to reach the target. Todetermine the distance, fiducials are placed on the target and the students must write code to takean image of the target in a complex background and find the pixels in the image that correspondto the fiducials. The size and or distance in pixels between fiducials can be

Conference Session

NEE Technical Session 2 - Educator's experience and perspective

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yuliana Flores, University of Washington; Cynthia J. Atman, University of Washington; Soraya Grace Barar; Jennifer A Turns, University of Washington

Tagged Topics

Diversity

Tagged Divisions

New Engineering Educators Division (NEE)

ofthematic analysis. The first round consisted of reading each of the three educator's reflectiondocuments week by week in chronological order beginning with week 1 and ending with week10. The reflections were read in order of Gabby, Paige, and Fiona. While reading through thecontent, Gabby wrote pen/paper notes of things that stood out and then prepared memos. Thisinitial round of coding led to the initial three themes -- existing material, the work of a secondsection, and acting on core values.The second round of coding consisted of writing out the initial themes on paper to referencethem while reading through the reflections again. While reading the reflections, Gabby wascoding for the themes. This time, Gabby read all of one educator's entire

Conference Session

Engineering a Just Future: Cultivating Equity, Voice, and Community in Technical Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Laura A. H. Wood, University of Michigan; Angie Kim, University of Michigan; Amber N Williams, University of Michigan; Berenice A. Cabrera, University of Michigan; Hayley N. Nielsen, University of Michigan; Lu Zhou, University of Michigan; Grenmarie Agresar, University of Michigan; Shanna R. Daly, University of Michigan; Lisa R. Lattuca, University of Michigan; Joi-Lynn Mondisa, University of Michigan; Erika A Mosyjowski, University of Michigan; Steve J. Skerlos, University of Michigan

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

courses is uniquely important. It is also uniquely difficult to do. Leydens and Lucena acknowledge that some of their engineering for social justice (E4SJ)criteria are easier to implement in design than ES courses, but they also write, “Whereaslistening contextually is greatly facilitated by design projects that feature a client…, suchlistening is more abstract in the absence of clients… However, students can identify the kind oflistening they would do with hypothetical clients” [13]. This quote suggests both that it isdifficult to integrate an equity focus into science courses, but also that similar approaches can beused in ES and design courses, though the connections to real-world impacts might be moreabstract or hypothetical in the

Conference Session

First-Year Programs Division WIPS 3: Courses and Curricula

Collection

2024 ASEE Annual Conference & Exposition

Authors

Richard Goldberg, University of North Carolina ; Ehssan Nazockdast, University of North Carolina ; Daphne Klotsa , University of North Carolina

Tagged Divisions

First-Year Programs Division (FYP)

and becomes a larger percentage of the class.We have several activities that help students to develop their engineering identity and exposethem to real world examples of engineering in our lives. Students write a “microstory” tointroduce themselves by describing an event or experience with engineering that led them to takethis class. Student also conduct an interview with a non-engineer to discuss the impact ofengineering on their work.For another activity, students give a short presentation on an “innovation in engineering”. Thegoal is for students to explore the engineering considerations behind recent innovative products.These are fun and interesting two-minute presentations in which a student describes a recentengineering innovation. They

Conference Session

Educational Research and Methods Division (ERM) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Serena Mao, Harvey Mudd College; David Chen, Harvey Mudd College; Magdalena Jones, Harvey Mudd College; Aye Mon Htut-Rosales, Harvey Mudd College; Laura Palucki Blake; Leah Mendelson, Harvey Mudd College; Steven Santana, Harvey Mudd College

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

course has an introductory Physics class in Mechanics and a Writing course asprerequisites. Participants consist of students enrolled in the course (1,2). Enrolled students aretypically in their first or second year and often select this class to explore engineering as theirmajor. Students learn engineering design and manufacturing techniques, utilizing their learningto solve ill-defined problems on teams. Projects require both conceptual design and tangible,mechanical solutions for an external client. In addition to engineering design, students learnteamwork through activities centered in giving and receiving feedback, resolving conflict, andleadership. Teams create contracts, meeting agendas, and project management documents as theywork

Conference Session

DSA Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Abdulrahman Alsharif, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

sentiment analysis Its value comes fromanalyzing large amounts of text data [2]. For example, its applications have been used to analyzesocial media posts to track public opinion and identify trends (e.g., O’Connor [8]). In the field ofeducation, it has been applied to the analysis of student essays to provide feedback, teamworkreview analysis, and students’ feedback loop [1], [3], [9]. Another application is in the generationof natural language text (e.g., machine translation systems use NLP to translate text from onelanguage to another) [10]. In addition, it has been used to generate feedback on student writing [11] and to createpersonalized study materials [12]. It also can facilitate more personalized and effectiveinstruction [13]. By

Conference Session

First-Year Programs Division Technical Session 9: Student Growth & Professionalization

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gregory J. Mazzaro, The Citadel; Timothy Aaron Wood P.E., The Citadel; Kevin Skenes, The Citadel

Tagged Divisions

First-Year Programs Division (FYP)

faculty to develop linked engineering and writing classes; they emphasizedanalyzing data and tailoring communications to a particular audience [12]. Another schoolintegrated chemistry, mathematics, engineering, and physics [13]. They maintained a cohort ofstudents throughout all four courses, students worked in the same teams of four in all of theirclasses, they quickly became friends and formed study groups, and retention was improvedcompared to traditional (non-cohort, randomized) students.Several engineering programs have incorporated service learning into their courses, to emphasizethat the engineer’s role in society is to solve problems in the service of humanity [14, 15]. Somecolleges have partnered with local non-profit organizations [16

Conference Session

Student Success in ET

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kenan Baltaci, University of Wisconsin, Stout; Monika Herrmann, University of Wisconsin, Stout; Ahmet Turkmen

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology Division (ETD)

?” It was a multiple-answer question.Answers are categorized into six areas that reflect how AI tools are used in an academic setting.Students were asked to choose which of these options applied to them. Responses areas areillustrated in Figure 4.Figure 4. Representation of how students utilize AI.The data highlights the varying degrees to which AI tools are utilized across differenteducational aspects. The most common use is for understanding complex concepts, chosen by 14students, followed by 13 students using AI for research and information gathering. This suggestsa trend towards utilizing AI as a learning and discovery tool, like a search engine. While severalstudents also reported using AI to enhance writing quality and generate project

Conference Session

Engineering Physics and Physics Division (EP2D) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Carlos Pineida, Universidad Andres Bello, Chile; Angeles Dominguez, Tecnologico de Monterrey, Mexico; Universidad Andres Bello, Chile.

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

: "Collaborative group discussion," item 12: "Present my work to everyone duringclass," and item 14: "Discuss my work with my teacher during class." These items indicate anincrease in the frequency of engagement in collaborative activities, such as group discussions andpresenting work to peers and teachers. This positive change suggests that students mayparticipate more actively in classroom interactions, share their ideas, and work with others.On the other hand, the rest of the items had a negative change. That is, they decreased in theirresponses about the frequency of the item. The items included item 10: "Interact with my teacherin synchronous sessions," item 11: "Interact with my classmates in each group activity," item 13:"Discuss my work with

Collection

2024 ASEE St. Lawrence Section Annual Conference

Authors

Rajarajan Subramanian; Sofia M. Vidalis

study groups. 3. Active learning methods engage students in the learning process by encouraging them to discover, process, and apply information. Empirical support for the positive impact of active learning on student achievement is extensive. Examples:The instructor... • Challenges or engages student assumptions • Demonstrates active listening • Models thinking and problem-solving; works through problems, scenarios, arguments with students • Assigns student activities that involve one or more of the following1: o active use of writing, speaking, and other forms of self-expression o opportunity for information gathering, synthesis, and analysis in solving problems

Conference Session

Problem- and Project-based Learning in Engineering Mechanics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Amir H. Danesh-Yazdi, Rose-Hulman Institute of Technology; Aimee Monique Cloutier, Rose-Hulman Institute of Technology; Sean Moseley, Rose-Hulman Institute of Technology

Tagged Divisions

Mechanics Division (MECHS)

name afew.By their very nature, fundamental engineering courses do not easily lend themselves to anintegrated design or open-ended element that meaningfully enhances student learning. This isespecially true in the case of Statics, where the primary learning objectives of drawing correctfree-body diagrams and applying them to equilibrium equations to solve for unknowns are usuallyassessed through well-posed problems with unique solutions. An in-depth review of papers inASEE’s PEER repository reveals that the most common open-ended project utilized byinstructors in their Statics courses involves designing, analyzing, constructing, and testing scaledmodel truss bridges using elements made from spaghetti 5 , wooden popsicle sticks 6 , straws 7

Conference Session

Instructional Showcase

Collection

2024 ASEE Annual Conference & Exposition

Authors

Aaron Richardson, University of Connecticut; Todd Campbell, University of Connecticut; Marina A. Creed, UConn Health and UConn School of Medicine; Kristina M. Wagstrom, University of Connecticut

Tagged Topics

Diversity, Professional Interest Council (PIC)

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

) Adding to the summary table (see example Summary Table below in Part B): - Direct students to appropriate column and activity. - Students will come to consensus on how the task demonstrates the phenomenon. - Students will come to consensus on why this task is important for understanding the phenomenon. Task #3: Agenda: Justice and Writing - Reintroduce students to initial hypothesis Wrap-Up - Justice 12: show students below picture and answer

Conference Session

Student Self-assessment in Mechanics Courses

Collection

2024 ASEE Annual Conference & Exposition

Authors

Amie Baisley, University of Florida; Chiranjeevi Singh Marutla, University of Florida

Tagged Divisions

Mechanics Division (MECHS)

foundations of equilibrium that will be applied in manylater courses. At a large R1 university in the southeast students take the course in a flipped,mastery-based classroom environment. The mastery-based approach is employed for theassessments where students are evaluated for how they demonstrated the course mastery objectiveson each assessment in the course. The students solve a single assessment problem every other weekwhere they are asked to organize their solution following the mastery objectives. The masteryobjectives are the key pieces of the solution solving process for every statics problem. The studentsare required to write, draw, or include equation(s) for each objective for each problem, but thework is unique to the type of problem being

Conference Session

Educational Research and Methods Division (ERM) Technical Session 8

Collection

2024 ASEE Annual Conference & Exposition

Authors

Pablo Frank Bolton, Smith College; Liberty Rose Lehr, Smith College; Rahul Simha, The George Washington University; Michelle Lawson, Smith College

Tagged Divisions

Educational Research and Methods Division (ERM)

Paper ID #41712The Justification Effect on Two-Tier Multiple-Choice ExamsDr. Pablo Frank Bolton, Smith College I am a Lecturer in the Computer Science department at Smith College. I received my PhD. from the George Washington University under the direction of Professor Rahul Simha. I currently teach a variety of undergraduate courses and have taught graduate courses in the past. My research is currently focused on STEM, especially on the areas of identifying misconceptions, creating scalable and informative assessments, and in the use of active learning techniques such as learning-by-teaching, and peer learning

Collection

ASEE Mid-Atlantic Section Spring Conference

Authors

Alexander John De Rosa, University of Delaware; Teri Kristine Reed, OU Polytechnic Institute

investigators on this project. These collaborators allow for peer review anddebriefing (Creswell & Miller, 2000) as we analyze the data together and each provide our ownperspective on the results (I am a “traditional” engineer by background, one of my collaboratorsis a social scientist and the other is an engineering faculty member who has worked in the fieldof educational research for several decades). The sampling of multiple participants also allowedfor each to provide contributions to the same themes as the interview protocol was so heavilygrounded in the chosen conceptual framework that examining each a-priori theme in the light ofevery participant was embedded into the research process.3.4 Limitations of StudyIn addition to the issues with

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Laura Thomason, Mansfield ISD/The University of Texas at Arlington; Victoria C. P. Chen, The University of Texas at Arlington; Erick C. Jones, The University of Texas at Arlington; Jay Michael Rosenberger, The University of Texas at Arlington; Jaivardhan Sood, The University of Texas at Arlington; Vishnu Sharma Kaipu Prabhakar Sharma, The University of Texas at Arlington; Soulmaz Rahman Mohammadpour, The University of Texas at Arlington; Rahsirearl Dominick Smalls, Everman ISD/The University of Texas at Arlington; Jocelyn Sigler M.Ed., The University of Texas at Arlington; James Hovey

Tagged Divisions

Industrial Engineering Division (IND)

ownership. Her learners then analyzedtheir results and completed a written analysis report over their findings utilizing what theylearned in their English Language Arts class regarding technical writing. The results of theircross-curricular learning were then presented to their peers. At a Junior High School STEMcampus, letting learners experience a real-world problem and using industry equipment toinvestigate and analyze results is extremely important. This project allowed her students to testout several types of insulation available and see that the R-values did not impact the overallenergy usage enough to push for the higher R-value product. This went against what theyhypothesized and expected from their research on insulation. Without the NSF

Conference Session

Empowering Change: Cultivating Inclusive and Sustainable Futures in STEM Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Kaylla Cantilina, Tufts University; Chelsea Joy Andrews, Tufts University; Fatima Rahman, Tufts Center for Engineering Education and Outreach

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

possible. The revised course includes: (1) a weekly sociotechnical lab withsmall-group activities and discussions on curriculum-aligned real-world justice topics, (2)weekly post-lab readings and written reflections, (3) week-long projects where codingassignments are embedded in a justice topic, and (4) a final project that explicitly considerssocial impacts of numerical analysis or design. Each course section is supported byundergraduate equity learning assistants who help facilitate the sociotechnical labs and act asapproachable peer mentors who can push students to think differently. Every assignment,including these written reflections, is graded and contributes to students’ overall courseassessment.While there were several artifacts, topics

Conference Session

Innovative Strategies for Enhancing Engineering Education Across Diverse Learning Environments

Collection

2024 ASEE Annual Conference & Exposition

Authors

Todd Jeffrey Freeborn, The University of Alabama

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer Engineering Division (ECE)

mature and regular study habits. As different as this format was from literally all of my other classes, it fit very well how I could schedule my time. Overall, it was a huge adjustment, but it's an adjustment I am glad I was able to make. As far as work periods, I enjoyed coming to them. It was a place I could not only work with [Instructor], but also with peers, because sometimes all you need is an extra pair of eyes. • The flexibility has been great, as the pre-recorded lectures essentially allowed for 5 office hours periods per week. Sometimes I have been ahead on lectures, and other times behind. My favorite feature is being able to rewind and pause videos if I ran out of time to write something

Conference Session

Computer-Supported Pedagogy and Assessment

Collection

2024 ASEE Annual Conference & Exposition

Authors

Zulal Sevkli, Miami University

Tagged Divisions

Computers in Education Division (COED)

institutions towards the adoption of computer-based exams [1, 2, 5, 6]. Studies like those by Lappalainen et al. [1], who found improvedoutcomes by beginning with paper-based exams and continue with computer-based exams, andGrissom et al. [4], who reported higher success in writing recursive solutions through computer-based exams, underscore this trend. Deloatch et al. [15] further highlighted a preference forcomputer-based exams, citing perceived improvements in quality, speed, and anxiety reduction.Computer-based exams present both opportunities and challenges, particularly in terms oftechnical stability and academic integrity.. For example, Rajala et al. [2] developed anexamination platform for Java programming, integrating multiple-choice