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Alaine M Allen, Carnegie Mellon University; Darlene Saporu; Elisa Riedo; Shelley L Anna; Linda DeAngelo, University of Pittsburgh; Andrew Douglas, The Johns Hopkins University; Nathalie Florence Felciai; Neetha Khan, Carnegie Mellon University; Jelena Kovacevic, New York University ; Stacey J Marks; William Harry Sanders, Carnegie Mellon University; Tuviah "Ed" E. Schlesinger, The Johns Hopkins University; Yao Wang; Jacqueline Ann Rohde, Purdue University, West Lafayette; Charlie Díaz, University of Pittsburgh; Nelson O. O. Zounlomè

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broader discussion and reflection of how the findings might inform futurealliance efforts.c. Future Work As the Project ELEVATE Alliance institutions have recruited the first cohort of mentorsand mentees, we are in the process of scheduling the mentor training sessions through theCIMER. This training will occur in Spring 2023 and will consist of four 1.5 hour sessionsutilizing CIMER Entering Mentoring curriculum with a focus on mentorship of junior faculty.Discussion and case studies will center DEI concepts and skills in this training. We will also bepreparing for the Project ELEVATE Summer Retreat, to be held in June 2023. This retreat is animportant event in our community building and will create and sustain cohorts and affinitynetworks

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Stephen Secules, Florida International University; Cassandra J McCall, Utah State University; Maimuna Begum Kali, Florida International University; Gabriel Van Dyke, Utah State University

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ensuring communicative effectiveness of our end product.Theoretical Framework: Figured Worlds and Narrative AgencyIn their seminal work, Holland and colleagues (1998) conceptualized the complex interactionsbetween social systems and individuals as agency and identity formation in figured worlds. Theydefine this concept as the realized capacity for an individual to purposefully and reflectively act(i.e., agency) on contexts containing “socially-produced, culturally-constructed activities” (i.e.,figured worlds, Holland et al., 1998, p. 40-41). As individuals iteratively interact with and withinthese figured worlds, they make meaning of themselves and form their identities. Figured worldsinclude four characteristics: (1) they are historically

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Julia Yoo, Lamar University; Selahattin Sayil, Lamar University; Gleb Tcheslavski

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experience and understanding of the techniques. Students wereasked to submit the task distribution and responsibilities to the instructor prior to each O-Edesign lab activity. This project is reflective of the adopted instructor-structured cooperativelearning strategies that include assigning roles to members of each group, rotating rolesperiodically, allowing team member’s rate each other’s contributions and group accountability.On the team reports, students were instructed to outline the steps taken to arrive at solutions,potential alternatives, and limitations, much like a standard Senior Project design. In addition to team lab reports, team presentations were also part of their learningactivities, and they were asked to include the

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Lea K. Marlor, University of Michigan; Cynthia J. Finelli, University of Michigan; Michael J. Prince, Bucknell University; Jenefer Husman, University of Oregon; Matthew Charles Graham; Ariel Chasen, University of Texas, Austin

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versus constructive) to determine how these typesof teaching impact student responses. Finally, we plan to determine what differences can befound between different types of institutions (such as community colleges, MSIs, PWIs, Doctoralgranting institutions) or class types (engineering, science, math).AcknowledgementsThis research is supported by the U.S. National Science Foundation (grant numbers DUE-1821092, DUE-1821036, DUE-1821488, and DUE-1821277). Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.References[1] L. Deslauriers, L. S. McCarty, K. Miller, K. Callaghan, and G. Kestin, "Measuring actual

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Helen Zhang, Boston College; Irene A. Lee, MIT STEP Lab; Katherine Strong Moore, Massachusetts Institute of Technology; Sheikh Ahmad Shah, Boston College

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data or thereliance on information that reflects historical inequalities, can result in flawed AI models. Whenthese models are utilized to make inferences about people, such as facial recognition, predictivepolicing, and credit score assignment, they would lead to decisions which can have negativeimpacts on communities of color even without the programmer’s intention to discriminate [1]–[3]. This has led to the ban on the use of such technologies in a few US cities. To empoweryoung people to thrive in civic life in the era of AI, education must prepare them to understandthe benefits and recognize potential harms of AI so that they can make informed decisions.However, this is not easy. Ethics is complex and requires critical thinking of

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Prateek Shekhar, New Jersey Institute of Technology; Pramod Abichandani, New Jersey Institute of Technology; Heydi L. Dominguez, New Jersey Institute of Technology; Craig Iaboni; Kevin Alexander Nino

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Grant DRL- 2010259. Any opinions, findings, and conclusions, or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe NSF.References[1] P. Abichandani, V. Sivakumar, D. Lobo, C. Iaboni, and P. Shekhar, “Internet-of-things curriculum, pedagogy, and assessment for stem education: A review of literature,” IEEE Access, 2022.[2] “Nodemcu: An open source firmware based on esp8266 wifi-soc.” https://www.nodemcu.com/index en.html (accessed Feb. 09, 2023).[3] D. Seehorn et al., CSTA K--12 Computer Science Standards: Revised 2011. ACM, 2011.[4] M. K. John, “Development and use of the arcs model of instructional design,” Journal of instructional development, vol

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Jill Davishahl, Western Washington University; Sura Alqudah, Western Washington University; Joseph Arthur Brobst, Old Dominion University; Elizabeth Litzler, University of Washington; Andrew G. Klein, Western Washington University

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hands-on projects or activities. In its finalform, the bridge program combines the positive attributes of its former iterations andsuccessfully balances preparing students for college socially and academically. Through hands-on maker projects, tours of campus and department labs, math reviews, and opportunities toconnect socially, the updated bridge program seeks to better support the S-STEM scholars duringtheir transition to college.Acknowledgement – This material is based upon work supported by the National ScienceFoundation S-STEM program under Grant No. 1834139. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science

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David B Knight, Virginia Tech; Kirsten A. Davis, Purdue University, West Lafayette ; Nicole P. Sanderlin, Virginia Tech; Jessica Deters, University of Nebraska, Lincoln; Alaa Abdalla, Virginia Tech; Katherine Maul, Purdue University, West Lafayette; Anne Victoria Wrobetz, University of Colorado, Boulder

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thismaterial are those of the author(s) and do not necessarily reflect the views of NSF. We appreciateall faculty and student focus group and interview participants who helped us understand theirexperiences managing and engaging in IRES programs around the world.References[1] K. Davis, Y. Jalali, V. Lohani, D. Knight, and R. Müller, “Student learning in international research programs: A comparison across cultural contexts,” presented at the ASEE Annual Conference proceedings, 2018.[2] K. A. Davis and D. B. Knight, “Becoming a researcher: A narrative analysis of US students’ experiences in Australia,” presented at the Proceedings of the 8th Research in Engineering Education Symposium, 2019.[3] L. M. Hatfield, C. T. Amelink, N. P. Sanderlin

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Arunkumar Pennathur, University of Texas, El Paso; Priyadarshini R. Pennathur, University of Texas, El Paso; Emily G. Blosser, University of Louisiana, Lafayette; Nicholas A. Bowman, University of Iowa

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project was supported by the National Science Foundation (NSF) Award Number DUE-2042363 to all the authors of this work.6. References[1] J. C. Taylor and D. F. Felten, Performance by design: Sociotechnical systems in North America. Prentice Hall, 1993.[2] A. Majchrzak and K. J. Klein, “Things are always more complicated than you think: An open systems approach to the organizational effects of computer-automated technology,” J. Bus. Psychol., vol. 2, no. 1, pp. 27–49, 1987.[3] E. Trist, “The evolution of socio-technical systems,” Occas. Pap., vol. 2, no. 1981, p. 1981, 1981.[4] W. Pasmore, C. Francis, J. Haldeman, and A. Shani, “Sociotechnical systems: A North American reflection on empirical studies of the

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Anna-Lena Dicke, University of California, Irvine; Kameryn Denaro; Analia E. Rao; David A. Copp, University of California, Irvine; Hye Rin Lee, University of Delaware; Gregory Diggs-Yang, University of California, Irvine; Lorenzo Valdevit

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. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] L. L. Espinosa, J. M. Turk, M. Taylor, and H. M. Chessman, “Race and Ethnicity in HigherEducation: A Status Report,” Washington, DC, 2019.[2] D. Shapiro et al., “Tracking Transfer: Measures of Effectiveness in Helping CommunityCollege Students to Complete Bachelor’s Degrees, Report No. 13,” Herndon, VA, 2017.[3] K. H. Strickland, “Transfer Students: The True American Ninja Warriors,” About Campus,vol. 23, no. 4, pp. 27–30, 2018.[4] V. Tinto, “Dropout from Higher Education: A Theoretical Synthesis of Recent Research,”Rev. Educ. Res., vol. 45, no. 1

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Patricia Muisener, Stevens Institute of Technology ; Pinar Akcora, Stevens Institute of Technology

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project. This responsibility of teaching empowered thestudents within their research environment, synthesized their learning and helped them direct the learningof others. Taking responsibility for the learning of others can lead to deeper overall understanding 4 whichwe noticed in the students especially within the last few weeks of the program.In the development of students as scholars, the weekly meetings and interactions allowed for depth oflearning and ensured the development of communication skills in an environment conducive to scientificdiscussion and reflection. Research discussion meetings between students and teachers were monitored bythe faculty mentors to enrich discussion and teaching. It was evident that the research discussions

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David B. Knight, Virginia Tech; Amy Richardson, P.E., Virginia Tech; Walter C. Lee, Virginia Tech; Bevlee A. Watford, Virginia Tech; Hamidreza Taimoory, Virginia Tech; Rene Alberto Hernandez, Virginia Tech

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first- time-in-college students’ perceptions of student supports. • Identifying what elements of our program could be possible without a large grant as well as which elements were still challenging even with the presence of a large grant.AcknowledgementsThis material is based upon work supported by the National Science Foundation EngineeringEducation and Centers under Grant Number DUE-1644138. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation.References[1] J. Wyner, K. Deane, D. Jenkins, and J. Fink, “The Transfer Playbook: Essential Practices for Two-and Four-Year Colleges.,” Aspen Inst

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Raul Mishael Sedas, University of California, Irvine; Mizuko Ito

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and within-setting conceptualization to one that takes into account the movement ofyouth among settings and connections between settings.References[1] G. J. Duncan and R. J. Murnane, Eds., Whither opportunity?: Rising inequality, schools, and children’s life chances. Russell Sage Foundation, 2011.[2] M. Ito et al., “The Connected Learning Research Network: Reflections on a Decade of Engaged Scholarship.,” Connected Learning Alliance, Irvine, CA, USA, 2020.[3] A. V. Maltese and R. H. Tai, “Eyeballs in the Fridge: Sources of early interest in science,” International Journal of Science Education, vol. 32, no. 5, pp. 669–685, Mar. 2010, doi: 10.1080/09500690902792385.[4] K. P. Dabney et al., “Out-of-school time science activities

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Rebekah J Hammack, Montana State University, Bozeman; Nicholas Lux Lux, Montana State University, Bozeman; Paul Gannon, Montana State University, Bozeman; Douglas J Hacker; Brock J. Lameres, Montana State University, Bozeman; Tugba Boz, University of Georgia

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relying on western approaches of using Likert surveyswith large sample sizes to produce generalizable data sets.AcknowledgmentThis material is based upon work supported by the National Science Foundation Research in theFormation of Engineers program under Grant Number 1916673. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the authors and do notnecessarily reflect the views of the National Science Foundation. 6ReferencesCapobianco, B. M., DeLisi, J., & Radloff, J. (2018). Characterizing elementary teachers’ enactment of high‐leverage practices through engineering design‐based science

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Veronica M. Catete, North Carolina State University, Raleigh; Isabella Gransbury; Marnie Hill; Devin Jean; Brian Broll; Akos Ledeczi, Vanderbilt University; Tiffany Michelle Barnes; Shuchi Grover

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more educators aboutour curriculum in an attempt to achieve wider adoption of CS Frontiers.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grants1949472, 1949492, and 1949488. Any opinions, findings, conclusions, or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation.References[1] B. Broll, Á. Lédeczi, G. Stein, D. Jean, C. Brady, S. Grover, V. Cateté and T. Barnes, "Removing the Walls Around Visual Educational Programming Environments," in Proceeding of the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), St. Louis, Missouri, 2021.[2] L. Alvarez, I. Gransbury

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Evelyn C. Brown, North Carolina State University, Raleigh; Zackary Tyler Hubbard

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and its development process, and will share the badgedevelopment process and badge modules with educators and others with an interest in helpingtechnicians develop cyber awareness. The project team is also considering ways to share thebadge development process with some or all of the eight federal agencies that lead skilledtechnical workforce development programs [8]. This work is part of a project funded by the Advanced Technological Education Program of the National Science Foundation DUE #2000867. Any opinions, findings and conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.References Cited:[1

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Nathan Lemke, Bethel University; Gabriel Michael Hjelle; Zachary Erickson

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, assuming there was no deformation at the boundary. After analyzing the data, theYoung’s modulus of the metal samples could be determined; typically, this was accurate towithin about 25-50%. We found that the clamping force, which was provided by a small thumbscrew, was inadequate to assume a perfectly rigid clamped boundary condition and that theactual deformation was somewhere between the limiting cases of simply supported and perfectlyclamped. Following the lab, students were asked to reflect on their experience and to answersome qualitative questions about the system. Students reported excitement at the extremeprecision of the optical technique, but also some frustration that they were not able to reproducethe Young’s modulus exactly

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Brad Cicciarelli, Louisiana Tech University; Timothy Reeves, Louisiana Tech University; Catherine Hendricks Belk, Clemson University; Marisa K. Orr, Clemson University

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assess whether the factors of chemicalengineering self-efficacy, coping self-efficacy, and student integration have a significant impacton the achievement and persistence of chemical engineering sophomore students.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2025035 through the Professional Formation of Engineers: Research Initiation in EngineeringFormation (PFE:RIEF) program. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] Culberson, O.L. “Attrition of ChE Undergrads,” Chemical Engineering Education, 4(1), 24- 27 (1970)[2

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Teresa Cardador; Karin Jensen, University of Michigan; Grisel Lopez-Alvarez, University of Illinois, Urbana - Champaign; Isabel Miller, University of Michigan; Hannah Chiou; Andrea J. Kunze, Delta State University; Sohee Kim, University of Illinois, Urbana - Champaign

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practicerelated to improving the diversity of students participating in the more technically-oriented rolesand career paths within engineering and will provide insight into institutional changes to enhancegender equality in engineering education curricula in order to better prepare women to entertechnical roles in the workforce. Taken together, results from our project reveal importantinsights about the track/specialization decision factors and career path plans of engineeringstudents.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1848498. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of

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John Zachary Clay, The University of Texas, Austin; Xingang Li, The University of Texas, Austin; H. Onan Demirel; Molly H Goldstein, University of Illinois, Urbana - Champaign; Rundong Jiang; Charles Xie; Darya Zabelina; Zhenghui Sha, The University of Texas, Austin

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concepts. While the review work is in progress, we share the EDT modelin this paper in the hope that it could benefit the community and anyone who wants to use it intheir own research on design thinking and design cognition.AcknowledgmentThe authors would like to gratefully acknowledge the financial support from the U.S. NationalScience Foundation (NSF) via grant # 2207408. Any opinions, findings, and conclusions expressedin this publication or presentation are those of the authors and do not necessarily reflect the viewof the NSF.References[1] J. Mountstephens, and J. Teo, “Progress and challenges in generative product design: a review of systems,” Computers, 9(4), 80, 2020. https://doi.org/10.3390/computers9040080[2] M

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James L. Huff, Harding University; Amy L. Brooks, Oregon State University; Halle Miller, Harding University; Grant R. Countess, Harding University; Kyle Shanachilubwa, Harding University

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contribute to a culture of engineering thatdemonstrates compassion, both interpersonally in the practice of engineers and intrapersonallysuch that we collectively value our holistic identities.AcknowledgementsThis work was supported through funding by the National Science Foundation (NSF CAREER#2045392). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. Additionally, the authors gratefully acknowledge the anonymous reviewersfor their constructive feedback, which helped us to sharpen the paper.References [1] J. L. Huff, B. Okai, K. Shanachilubwa, N. W. Sochacka, and J. Walther, “Unpacking professional shame

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Carla Lopez Del Puerto, University of Puerto Rico, Mayaguez ; Monica Alfaro; Carmen M. Bellido; Matias J. Cafaro; Bernadette M. Delgado, University of Puerto Rico, Mayaguez

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faculty to get to know their students andprovide opportunities for students to connect with their instructors outside the classroom.• Provide a Positive Campus Culture: Foster a positive and inclusive campus culture thatsupports and values all students.Implementing these strategies can help universities create a supportive environment forstudents and reduce the factors contributing to attrition and dropout.4. Acknowledgement.This material is based upon work supported by the National Science Foundation under GrantsNo. EECOS 1833989, NoTeS 190139, RISE-UP 1832468 and 1832427. Any opinions,findings, and conclusions or recommendations expressed in this material are those of theauthors and do not necessarily reflect the views of the National Science

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Authors

Courtney S. Smith-Orr, University of North Carolina, Charlotte; Valentina Cecchi, University of North Carolina, Charlotte; Paras Mandal, University of Texas at El Paso; Sukumar Kamalasadan

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outlined in 1 inaccuracies; most links features outlined in 2 properly and reflect an agreeing with fact, the subject area; and 2. Does not fit well are correct. and 3. Does not fit well accurate understanding logic or known truth inappropriate words or into either category. into either category. of subject matter, terms are used. The meaning little or no map documents an misconceptions

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Hannah D Budinoff, The University of Arizona; Vignesh Subbian, The University of Arizona; Ann Shivers-McNair; Francesa Lopez

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results. In Fall 2023, we plan to offer a revisedversion of this PD program, recruiting a new cohort of engineering instructors. Data collectionwill be expanded to additional courses. We plan to collect data across all levels of theengineering program (e.g., first, second, third, and fourth-year courses) and across alldepartments.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.2215003. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] American Society for Engineering Education, “Profiles of Engineering and Engineering Technology, 2021

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Authors

Bryce E. Hughes, Montana State University, Bozeman; Sidrah MGWatson

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is on the three outcome measures we gathered in our survey. Thesemeasures include a sense of belonging in one’s major, science and engineering identity, andcommitment to one’s major. Each of these outcomes has been shown to predict retention in orcompletion of a STEM degree [7-9], serving as important intermediate outcomes along astudent’s trajectory toward that longer term goal. Here, we will define each of these outcomesand how they are measured, followed by the steps we took to test how well our surveysperformed in measuring each of these outcomes.Sense of belongingSense of belonging reflects the extent to which a student feels they are a part of a specificcommunity of interest. We adapted our measure of sense of belonging from one

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Samuel Enrique Blair, Texas A&M University; Claire Crose; Julie Linsey, Georgia Institute of Technology; Astrid Layton, Texas A&M University

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. This work was made possible through the support of theNational Science Foundation under grants 2013505 and 2013547. Any opinions, findings, orconclusions found herein do not necessarily reflect the views of NSF and its employees.References[1] M. Tomko, R. Nagel, M. Alemán, W. Newstetter, and J. Linsey, "A makerspace is more than just a room full of tools," presented at the ASME IDETC 2018, Quebec City, Canada, 2018.[2] T. Sawchuk, E. Hilton, R. Nagel, and J. Linsey, "Understanding Academic Makerspaces through a Longitudinal Study at Three Universities," presented at the American Society for Engineering Education Annual Conference, Tampa, FL, 2019.[3] E. Hilton, R. Nagel, and J. Linsey, "Makerspace involvement

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Authors

Huihui Qi, University of California, San Diego; Minju Kim, University of California, San Diego; Carolyn L Sandoval, University of California, San Diego; Zongnan Wang, University of California, San Diego; Curt Schurgers, University of California, San Diego; Marko V. Lubarda, University of California, San Diego; Saharnaz Baghdadchi, University of California, San Diego; Xuan emily Gedney; Alex M. Phan, University of California, San Diego; Nathan Delson, eGrove Education; Maziar Ghazinejad, University of California, San Diego

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guide students’ learning towards a deeper and conceptuallevel. They can also serve as a more authentic assessment tool than traditional written exams.Thus, in the end-of-quarter survey, students were asked to reflect on whether the oral examschanged their learning strategies. Overall, results show a quite even distribution of students’agreement level on how they find interactions during the oral assessment(s) changed theirlearning strategies. 29.4% of students agreed/strongly agreed on the prompt, while 38.1% ofstudents didn’t have a preference, and 32.4% of the students disagreed/strongly disagreed. Figure 7. Students’ perception of oral exam change their learning strategyResults showed that more URM students, FG students, and

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Ashley Seamon; Marcus James; Zoe Mouchantaf; Omar Ashour, Pennsylvania State University, Behrend

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better outcomes as this format would require studying in preparation due torestricted resources when completing the learning module as well as prevent outsidecollaboration, ensuring that the students’ work represented their individual efforts. Similar topicshave been examined in prior research. According to Lee and Pruitt, with only a little extra effortby teachers, classroom assignments often produce a higher gain in student achievement [2]. This“extra effort” from being inside the classroom was reflected in this investigation throughguidance from the professor and teaching assistants. Additionally, in an article referencingstudents’ thinking during class instruction, Doyle stated that “the study of tasks in actualclassroom settings can enrich

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Sarah Lynn Orton P.E., University of Missouri, Columbia; Fan Yu, University of Missouri, Columbia; Lisa Y. Flores, University of Missouri, Columbia

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://longevity.stanford.edu/self-efficacy- toward-a-unifying-theory-of-behavior-change/ (accessed Feb. 28, 2023).[14] A. Bandura, “Self-efficacy: Toward a unifying theory of behavioral change,” Psychological Review, vol. 84, pp. 191–215, 1977, doi: 10.1037/0033- 295X.84.2.191.[15] H. Fencl and K. Scheel, “Research and Teaching: Engaging Students -- An Examination of the Effects of Teaching Strategies on Self-Efficacy and Course in a Nonmajors Physics Course,” Journal of College Science Teaching, vol. 35, no. 1, pp. 20–24, Sep. 2005.[16] F. Yu, J. O. Milord, L. Y. Flores, and R. M. & Marra, “Work in Progress: Faculty choice and reflection on teaching strategies to improve engineering self-efficacy,” 2022 ASEE Annual Conference, Jun

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Authors

Daniel D. Burkey, University of Connecticut; Scott Streiner, University of Pittsburgh; Kevin D. Dahm, Rowan University; Richard Tyler Cimino, New Jersey Institute of Technology; Jennifer Pascal, University of Connecticut

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of the profession - throughmultimedia simulation, role-playing games, case-based learning, and review of other, fictionalizedcases - can give them opportunities to reflect on the need to identify complex situations in futuresettings, as well as a safe environment in which to explore, make mistakes, and discuss theramifications of various decisions in authentic contexts. Ultimately the goal is to better prepareyoung engineers to tackle current and future challenges that have tended to be underemphasizedin traditional engineering curricula.The overall research question for this project is “In what ways can experiential, game-basedapproaches to engineering ethics improve students' ethical reasoning skills?” The authors havedeveloped a suite of