Conference Session

Assessment in Mechanics Courses

Collection

2022 ASEE Annual Conference & Exposition

Authors

Robert Brown, Abilene Christian University; Timothy Kennedy, Abilene Christian University

mechanics curriculum, as well as the efficacy of differentiatedlearning both within this class and as students continue through their curriculum in both subjectareas.BibliographyB. S. Bloom, “Mastery Learning,” in Mastery Learning: Theory and Practice, New York:Rinehart & Winston, 1971, pp. 47–63.Durm, Mark W. "An A is not an A is not an A: A history of grading." In The educational forum,vol. 57, no. 3, pp. 294-297. Taylor & Francis Group, 1993.Agrawal, Ashok K., and Stephanie Harrington-Hurd. "Preparing next generation graduates for aglobal engineering workforce: Insights from tomorrow's engineers." Journal of EngineeringEducation Transformations 29, no. 4 (2016): 5-12.Nilson, Linda B. Specifications grading: Restoring rigor, motivating

Conference Session

Experimentation and Laboratory-Oriented Studies Division Technical Session 5: Remote, Hands-On Laboratories

Collection

2022 ASEE Annual Conference & Exposition

Authors

Michael Robinson

engineering programs, 2022–2023. url: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting- engineeringprograms-2022-2023/.”[2] L. D. Feisel and A. J. Rosa, “The role of the laboratory in undergraduate engineering education,” Journal of engineering Education, vol. 94, no. 1, pp. 121–130, 2005.[3] T. Kotulski and S. Murray, “The national engineering laboratory survey,” Labshare Project. December, 2010.[4] M. Robinson, “The machina: an ecosystem of control system experiments,” ASEE NCS Regional Conference, Pittsburgh: ASEE 2022.[5] J. Sarik and I. Kymissis, “Lab kits using the arduino prototyping platform,” in 2010 IEEE Frontiers in Education Conference (FIE), pp. T3C–1, IEEE, 2010.[6] P. Jamieson and J

Conference Session

First-Year Programs Division Technical Session 13: Work-in-Progress Postcard Session #2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sophia Santillan, Duke University; Lupita TeMiquel-McMillian, Duke University; Jennifer Ganley; Stacy Tantum, Duke University

. M. Allen, “Essential Functions of Academic Advising: What Students Want and What Students Get,” NACADA Journal, vol. 26, no. 1, pp. 56-66, 2006.[5] B. J. Zimmerman, A. Bandura and M. Martinez-Pons, “Self-Motivation for Academic Attainment: The Role of Self-Efficacy Beliefs and Personal Goal Setting,” American Educational Research Journal, vol. 29, no. 3, pp. 663-676, 1992.[6] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy, “Measuring Undergraduate Students’ Engineering Self-Efficacy: A Validation Study,” Journal of Engineering Education, vol. 105, no. 2, pp. 366-395, 2016.[7] B. W. Smith, J. Dalen, K. Wiggens, E. Tooley, P. Christopher, and J. Bernard, “The Brief Resilience Scale: Assessing the

Conference Session

Computers in Education 9 - Technology I

Collection

2022 ASEE Annual Conference & Exposition

Authors

Gerald Sullivan, Virginia Military Institute; James Squire, Virginia Military Institute; David Feinauer, Virginia Military Institute

, Natesan, P. Vidhya, and Xiao-Zhi Gao. "Virtual laboratory: A boon to the mechanical engineering education during covid-19 pandemic." Higher Education for the Future 8.1 (2021): 31-46.5. Makransky, Guido, Thomas S. Terkildsen, and Richard E. Mayer. "Adding immersive virtual reality to a science lab simulation causes more presence but less learning." Learning and Instruction 60 (2019): 225-236.6. Deshpande, Amit A. and Samuel H. Huang. "Simulation games in engineering education: A state‐of‐the‐art review." Computer Applications in Engineering Education 19.3 (2011): 399-410.7. Brown, Corina E., et al. "Visualizing molecular structures and shapes: A comparison of virtual reality, computer simulation, and traditional

Conference Session

Manufacturing Workforce Development

Collection

2022 ASEE Annual Conference & Exposition

Authors

Jenifer Blacklock, University of Colorado Boulder; Greg Vanderbeek, University of Colorado Boulder

validation strategy." Global Journal of Engineering Education 13.3 (2011): 96-101.9. Lui V.M., Gallardo- Córdova, K.E., Castillo- Díaz S., "Performance and authentic assessment in a mechanical engineering course." Global Journal of Engineering Education 20.1 (2018): 30-38.10. Cruz M.L., Saunders-Smits G.N., Groen P., "Evaluation of competency methods in engineering education: a systematic review." European Journal of Engineering Education (2019): 1-29.

Conference Session

ERM: Lessons Learned from COVID (COVID Part 1)

Collection

2022 ASEE Annual Conference & Exposition

Authors

Maartje E.D. Van den Bogaard, Delft University of Technology; David Reeping, University of Cincinnati; Cynthia Finelli, University of Michigan; Joanna Millunchick, University of Michigan

. Johnson, and C. J. Finelli, “The role of college knowledge and proactive behavior on participation in cocurricular activities,” J. Eng. Educ., vol. 110, no. 1, pp. 114–142, 2021, doi: 10.1002/jee.20380.[4] C. A. Capper, Interpretivist Epistomology. New York City NY: Routledge, 2018.[5] V. Braun and V. Clarke, “Using thematic analysis in psychology,” Qual. Res. Psychol., vol. 3, no. 2, pp. 77–101, 2006.[6] K. Charmaz, Constructing grounded theory. SAGE Publications, 2006.[7] E. Nordmann, C. E. Küepper-Tetzel, L. Robson, S. Phillipson, G. I. Lipan, and P. McGeorge, “Lecture capture: Practical recommendations for students and instructors.,” Scholarsh. Teach. Learn. Psychol., 2020, doi: 10.1037/stl0000190.[8

Conference Session

Electrical and Computer Engineering Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Nathaniel Hunsu, University of Georgia; Kun Yao, University of Georgia; Adel Al Weshah, University of Georgia; Olanrewaju Olaogun, University of Georgia; Shiyu Wang, University of Georgia

-option multiple-choice test, for example,there is a 25% chance of choosing a correct option by pure luck. Similarly, a test taker has 75% chance ofchoosing the wrong option inadvertently. The fact that what students really know may be so confoundedundermines the objective of administering CIs to probe their prior knowledge. Similarly, it may also bedifficult to determine whether a respondent chose a wrong option on the CI test due to a lack of priorknowledge or as the result of having a misconception(s) about the concept the test item assesses. Accordingto extant conceptual change literature, being able to differentiate between misconceptions and a lack ofknowledge has considerable implications for effective pedagogy [9, 11, 12]. Thus, an

Conference Session

Community Engagement Division Technical Session 2 - Community Engagement without Frontiers

Collection

2022 ASEE Annual Conference & Exposition

Authors

George Hunt, University of Nebraska - Lincoln; Matthew Williamson, University of Nebraska - Lincoln

project expectations and encourage students toembrace the unique opportunity provided by the community focused design project. Earlyfeedback from instructors should ease some of the confusion or overwhelmed feelings thatstudents seem deal with when presented an open-ended problem. In the Spring 2022 semester,one capstone design section will be given more frequent project deadlines and outcomes will becompared against a section with less frequent project deadlines. The addition of these definedmilestones may be a benefit to those students who struggle with the open-ended nature of thecourse and project.References[1] A. J. Dutson, R.H. Todd, S. P. Magleby, and C.D. Sorensen. ‘‘A review of literature onteaching engineering design through project

Conference Session

Experimentation and Laboratory-Oriented Studies Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Cyrus Habibi, University of Wisconsin - Platteville

of specification, and they wererequired to first design and simulate the circuit using Spice software, and then test their design inthe lab. The findings reveal that using both simulation and hands-on together has been an effectivemethod in students’ learning. Although students were frustrated by design features of the labs, webelieve that design portion had increased the students’ motivation. Distance students weredisappointed with working with Analog Discovery on their own, and not to be in lab with otherstudents, or in the presence of the instructor; we have not found any good resolution for them. Thedistance students usually work during the school time and complete the schoolwork on weekendor weeknight.References[1]. Edward, Norrie S

Conference Session

WIED: Analysis, Challenges, Success, and Impacts

Collection

2022 ASEE Annual Conference & Exposition

Authors

Roberta Rincon, Society of Women Engineers; Erin Carll; Emily Knaphus-Soran, University of Washington

that they would stay on the pathway to a bachelor’s degree in engineering or computerscience. COVID-19’s impact on our plans to host in-person networking events in convenientlocations and times in specific regions of the U.S. resulted in a need to pivot to virtual events.While this move allowed us to offer these events to anyone interested in attending, regardless oflocation, it presented some recruitment challenges that negatively impacted event attendance bythe specific population we were most interested in studying,This study was also undertaken to help inform SWE’s program development to better supportCC students in STEM programs. SWE has limited relationships with students attending CCs, andthese events were offered as a way to introduce

Conference Session

Computers in Education Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Edward Gehringer, North Carolina State University at Raleigh

harderquestions. Adaptive testing is frequently used for placement tests (e.g., in language or mathematicscourses); it is useful whenever it is necessary to gauge a student’s skill with precision. The only one ofthe five platforms that implements adaptive testing is Moodle. In Moodle, an “adaptive quiz” selectsquestions from a question bank that accord with the apparent ability level of the student. Blackboard andCanvas have a related feature called “adaptive release.” With adaptive release, a new assignment isreleased to a student after (s)he makes a specified score on some other assignment. For example, astudent might be allowed to take Quiz 2 after scoring 90% or greater on Quiz 1. This isn’t quite asflexible as adaptive testing, because it requires

Conference Session

Faculty Development Division Technical Session 5

Collection

2022 ASEE Annual Conference & Exposition

Authors

Heidi Sherick, University of Michigan; Pauline Khan, University of Michigan; Tershia Pinder-Grover, University of Michigan; Deborah Covington, University of Michigan

begin by asking each individual to introduce themselves and then by establishing someguidelines. ● We value your honest feedback and would like to hear from all participants. ● Empathy and humility are essential characteristics needed both for the eventual program itself as well as this initial visioning process. Therefore, we ask you to respond to the greatest degree possible with these traits in mind.During the session, ● Help the participants focus on the goals. ● Identify a specific subtopic or a theme and ask participant(s) to expand on their thinking. ● Highlight the diversity of perspectives and encourage thoughtful engagement of different viewpoints, but encourage participants to expand on their thinking and/or to

Conference Session

Computers in Education 7 - Modulus 2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Mahmoud Quweider, The University of Texas Rio Grande Valley; Fitratullah Khan; Liyu Zhang; Hansheng Lei

/stem-solutions/articles/2016-11-23/study-girls- less-interested-in-stem-fields-perceived-as-masculine10. Bonwell, C., and Eison, J. Active Learning: Creating Excitement in the Classroom. ASHE- ERIC Higher Education Report 1, 1991.11. ODEP. (2016). Essential skills to getting a job. Retrieved from http://promotions.usa.gov/odep/essential_job_skills.pdf12. Julia Evetts” Women and careers in engineering: management changes in the work organization,” Women in Management Review Volume 12, Number 6, pp. 228–233, 1997.13. McRae, S., Devine, F. and Lakey, J., Women into Science and Engineering, Policy Studies Institute, London, 1991.Appendix A. Sample Cyber Security Program Brochure

Conference Session

Faculty Development Division Technical Session 7

Collection

2022 ASEE Annual Conference & Exposition

Authors

Jennifer Turns, University of Washington; Yen-Lin Han, Seattle University; Teodora Shuman, Seattle University; Gregory Mason, Seattle University; Kathleen Cook, Seattle University

more to report in June at the conference.BibliographyBarab, S., & Squire, K. (2004). Design-based research: Putting a stake in the ground. The journal of the learning sciences, 13(1), 1-14.Edelson, D. C. (2002). Design research: What we learn when we engage in design. The Journal of the Learning sciences, 11(1), 105-121.Kegan, R., & Lahey, L. L. (2002). How the way we talk can change the way we work: Seven languages for transformation. John Wiley & Sons.Rainio, A. P., & Hofmann, R. (2021). Teacher professional dialogues during a school intervention: From stabilization to possibility discourse through reflexive noticing. Journal of the Learning Sciences, 30(4-5), 707-746.Sandoval, W. (2014

Conference Session

Community Engagement Division Technical Session 1 - STEM Outreach

Collection

2022 ASEE Annual Conference & Exposition

Authors

Matthew Aruch, University of Maryland College Park; Vincent Nguyen, University of Maryland College Park; Rebecca Kenemuth

leveragethese relationships and program activities to build a sustainable interactive set of STEM materials.While there are challenges with respect to logistics, administration, and communication, K-12 anduniversity participants are aligned in their mission to generate exciting opportunities for STEMengagement, confidence building, and competency.ReferencesAruch, M., Tomblin, D., & Mogul, N. F. (2018, June). Engagement in Practice: Tensions and Progressions of a Robotics Service-learning Program. In 2018 ASEE Annual Conference & Exposition.Cech E.A., Sherick H.M. (2015) Depoliticization and the Structure of Engineering Education. In: Christensen S., Didier C., Jamison A., Meganck M., Mitcham C., Newberry B. (eds

Conference Session

Systems Engineering Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Henry Lester, University of Dayton; Kellie Schneider, University of Dayton; Corinne Mowrey, University of Dayton; Raymond Smith, East Carolina University

future.References[1] C. Bego and J. Nwokeji, "Diversity and Inclusion in Engineering and Computing: A Scoping Review of Recent FIE Papers," in 2021 IEEE Frontiers in Education Conference (FIE), 2021.[2] INCOSE, "DEI-100: Diversity, Equity, and Inclusion," 2 February 2021. [Online]. Available: https://www.incose.org/docs/default-source/policiesbylaws/policy_dei-100-_-diversity-equity- and-inclusion.pdf?sfvrsn=3ba98c6_6. [Accessed 31 January 2022].[3] ABET, "Diversity, Equity, & Inclusion," 2021. [Online]. Available: https://www.abet.org/about-abet/diversity-equity-and-inclusion/. [Accessed 31 January 2022].[4] N. Donthu, S. Kumar, D. Mukherjee, N. Pandey, and W. Lim, "How to Conduct a Bibliometric Analysis: An

Conference Session

Engineering Physics and Physics Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Evan Lemley, University of Central Oklahoma; Sezin Kadioglu, University of Central Oklahoma

, Agents and Agendas (pp. 87–90). 10. Chacon, S., & Straub, B. (2014). Pro git. Apress 11. github. (2020). GitHub. Retrieved from https://github.com/ 12. JetBrains, 2017. PyCharm. [online] JetBrains. Available at: [Accessed 11 April 2017]. 13. Anaconda Software Distribution. (2020). Anaconda Documentation. Anaconda Inc. Retrieved from https://docs.anaconda.com/ 14. Lemley, Evan C., and Baha Jassemnejad. "Use of Supplementary Online Lecture Materials in a Heat Transfer Course." 2012 ASEE Annual Conference & Exposition. 2012. 15. Lemley, Evan C., Jassemnejad, B., Judd, E., Ring, B. P., Henderson, A. W., & Armstrong, G. M. "Implementing a flipped classroom in thermodynamics." 2013 ASEE

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Alison Polasik, Campbell University

orrecommendations expressed in this material are those of the author and do not necessarily reflectthe views of the National Science Foundation.References[1] A. Polasik, A. Suggs and R. Kajfez, "Work in progress: A study of variations in motivationand efficacy for computational modeling in first-year engineering students," in 2021 IEEEFrontiers in Education Conference (FIE), 2021, .[2] A. K. Polasik and D. Riegner, "Successes and lessons learned in an undergraduatecomputational lab sequence for materials science and engineering," in Proceedings of the 2017ASEE Annual Conference & Exposition, 2017, .[3] V. Ramalingam and S. Wiedenbeck, "Development and Validation of Scores on a ComputerProgramming Self-Efficacy Scale and Group Analyses of Novice

Conference Session

Biomedical Engineering Division: Developing Lab and Research Skills for BioE/BME Students

Collection

2022 ASEE Annual Conference & Exposition

Authors

Eileen Haase, The Johns Hopkins University; Natsuki Furukawa, The Johns Hopkins University; Brooke Hardesty, The Johns Hopkins University; Akash Patil, The Johns Hopkins University; Amanda Ruci, The Johns Hopkins University

,” Exchange: The Organizational Behavior Teaching Journal. 7(1):13-22, 1982. https://doi.org/10.1177/105256298200700103[6] P.G. Koles, A. Stolfi, N.J. Borges, S. Nelson, D.X. Parmelee, “The impact of team-based learning on medical students' academic performance,” Acad Med. Nov;85(11):1739-45, 2010 https://doi.org/10.1097/ACM.0b013e3181f52bed[7] E. Haase, B.N. Phan, H.R. Goldberg, “Molecules and Cells: Team-based and Multi- modal Learning Improves Comprehension and Increases Content Retention,” 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. https://peer.asee.org/28685[8] M. Ahmed, B. Indurkhya, “Investigating cognitive holding power and equity in the flipped classroom,” Heliyon, 6(8), e04672

Conference Session

PCEE Session 12: STEM, Technology, and Engineering Education

Collection

2022 ASEE Annual Conference & Exposition

Authors

Ryan Brown, Illinois State University; Allison Antink-Meyer, Illinois State University

Conference Session

ECE Division Technical Session 1: Online or Remote Teaching and Curricular Developments

Collection

2022 ASEE Annual Conference & Exposition

Authors

Weiying Zhu, Metropolitan State University of Denver

,” in Proceedings of 2013 ASEE Annual Conference & Exposition,Atlanta, GA, June 23-26, 2013. American Society for Engineering Education, 2013.[8] M. McDonald, B. Dorn, and G. McDonald, “A Statistical Analysis of StudentPerformance in Online Computer Science Courses,” ACM SIGCSE Bulletin, vol. 36, no. 1. NewYork, NY: ACM, March 2004. pp. 71–74.[9] M. Whitney and B. Dallas, “Captioning Online Course Videos: An Investigation intoKnowledge Retention and Student Perception,” In Proceedings of the 50th ACM TechnicalSymposium on Computer Science Education (SIGCSE ’19), Minneapolis, MN, February 27 -March 2, 2019. New York, NY: ACM, 2019. pp. 511–517.[10] S. Motogna, A. Marcus, and A.-J. Molnar, “Adapting to online teaching in

Conference Session

ERM: Let's Continue the Conversation about Tests! Part 2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Joshua Jay, University of Oklahoma; Doyle Dodd, University of Oklahoma

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Kang Xia; Mohammad Yunus Naseri, Virginia Polytechnic Institute and State University; Gautam Biswas, Vanderbilt University; Manoj Jha, North Carolina Agricultural and Technical State University (CoE); Erin Henrick, Vanderbilt University; Emily Kern; Caitlin Snyder; Landon Marston, Virginia Polytechnic Institute and State University; Abhishek Dubey; Christopher Vanags; Niroj Aryal; Steven Jiang, North Carolina Agricultural and Technical State University (CoE); Erin Hotchkiss; Vinod Lohani, Virginia Polytechnic Institute and State University; Brendan McLoughlin, Virginia Polytechnic Institute and State University; Sambridhi Bhandari

Conference Session

Experimentation and Laboratory-Oriented Studies Division Technical Session 3: Best of ELOS

Collection

2022 ASEE Annual Conference & Exposition

Authors

Hans Mayer, California Polytechnic State University, San Luis Obispo; Andres Elzaurdia; Christian Clephan, California Polytechnic State University, San Luis Obispo; Arturo Flores

J. A. Monsoriu, “A quantitativeanalysis of coupled oscillations using mobile accelerometer sensors.” European Journal ofPhysics, vol. 34, pp. 737 – 744, 2013.[2] P. Klein, S. Grober, J. Kuhn, and A. Muller, “Video analysis of projectile motion using tabletcomputers as experimental tools.” Physics Education, vol. 49, pp. 37 – 40, 2014.[3] P. Wattanayotin, C. Puttharugsa, and S. Khemmani, “Investigation of the rolling motion of ahollow cylinder using a smartphone’s digital compass.” Physics Education, vol. 52, 045009,2017.[4] J. W. Mitchell, “Dimensional Analysis and Similitude,” in Fox and McDonald’s Introductionto Fluid Mechanics, 10th ed. New York, NY, USA: Wiley, 2020, ch. 7.[5] I. H. Shames, “Dimensional Analysis and Similitude,” in

Conference Session

NEE Technical Session - Innovative Teaching Strategies I

Collection

2022 ASEE Annual Conference & Exposition

Authors

Lawrence Angrave, University of Illinois at Urbana - Champaign; Jiaxi Li, University of Illinois at Urbana - Champaign; Ninghan Zhong, University of Illinois at Urbana - Champaign

(also known as Short-circuiting or Early-exit), where a portion of a time-consuming calculation can beobviated under some conditions. Briefly, the strategy is to use a metric(s) that is fast to compute to processsamples to determine if they are very similar or very dissimilar and only calculate the more expensivemetric(s) when more careful arbitration is required. Figure 8 plots the distribution of sim structural andsim ocr metrics for all samples with the real positive and negative labels. For the majority of samples witha real-negative label, the sim structural values are higher than 0.9. Therefore, for a unlabeled sample, if ithas a sim structural that is higher than a threshold, then the early dropping model prediction is that it isnot a

Conference Session

DEED Technical Session 8 - Design Methodologies

Collection

2022 ASEE Annual Conference & Exposition

Authors

Michaela Grover, University of Minnesota - Twin Cities; Natasha Wright, University of Minnesota - Twin Cities; Jennifer Hoody, University of Minnesota - Twin Cities; Carlye Lauff, University of Minnesota - Twin Cities

of 10) Score (Out of 10) (-0.3 each) Score Score 6 4 0 3 1 0.6 3 9 5 3 9 0 5 7 13 7 6 8 3 5.7 7 14 7 4 10 3 4.9 7Student 3 was the only student who had the exact same score from the experts as was generatedby the coded scoring method and was also the only student with only one interview available forevaluation due to an improper interview consent process with their other interview. The lack ofaveraging for student number 3’s final score may have

Conference Session

Educational Research and Methods (ERM) Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Matilde Sanchez-Pena, University at Buffalo, The State University of New York; Julianna Gesun, Purdue University at West Lafayette (COE)

, “COVID-19 and Black Lives Matter: Examining Anti-Asian Racism and Anti-Blackness in US Education,” International Journal of Multidisciplinary Perspectives in Higher Education, vol. 5, no. 1, Art. no. 1, 2020, doi: 10.32674/jimphe.v5i1.2656.[4] P. Hall, “Interprofessional teamwork: Professional cultures as barriers,” Journal of Interprofessional Care, vol. 19, no. sup1, pp. 188–196, May 2005, doi: 10.1080/13561820500081745.[5] B. S. Benedict, D. Verdín, R. A. Baker, A. Godwin, and T. Milton, “Uncovering latent diversity: 125th ASEE Annual Conference and Exposition,” ASEE Annual Conference and Exposition, Conference Proceedings, vol. 2018-June, Jun. 2018, Accessed: Feb. 10, 2022. [Online]. Available: https

Conference Session

Mechanical Engineering: Student Growth

Collection

2022 ASEE Annual Conference & Exposition

Authors

Anu Osta, Rowan University; Melanie Amadoro, Rowan University; Smitesh Bakrania, Rowan University

,” Journal of Public Health, 43(2), pp. e385–e386.5. D’Amico, M. M., Atwell, A. K., Spriggs, J. N., and Cox, J. A., 2021, “Are We Doing Enough? COVID Responses from Urban and Rural Community Colleges,” Community College Journal of Research and Practice, pp. 1–8.6. Liu, C., & Ammigan, R. (2022). "Humanizing the academic advising experience with technology: An integrative review", COVID-19 and higher education in the global context: Exploring contemporary issues and challenges (pp. 185-202). STAR Scholars.7. Naughton, M. R., 2021, “Cracks to Craters: College Advising During COVID-19,” AERA Open, 7, pp. 1-12.8. Bouchey, B., Gratz, E., Kurland, S., (2021) "Remote Student Support During COVID-19: Perspectives of Chief Online Officers in Higher

Conference Session

CIT Division Technical Session #3

Collection

2022 ASEE Annual Conference & Exposition

Authors

Teresa Ober, University of Notre Dame; Emmanuel Johnson, University of Southern California; Philip Gonsalves; Mayank Kakodkar, Purdue University at West Lafayette (COE); Janice Zdankus

educational standards: Is d´etente possible? Theory into practice, 44(3):234–244, 2005.[11] Matthew L Bernacki, Meghan J Greene, and Nikki G Lobczowski. A systematic review of research on personalized learning: Personalized by whom, to what, how, and for what purpose (s)? Educational Psychology Review, 33(4):1675–1715, 2021.[12] Candace Walkington and Matthew L Bernacki. Appraising research on personalized learning: Definitions, theoretical alignment, advancements, and future directions, 2020.[13] Robert M Aiken and Richard G Epstein. Ethical guidelines for ai in education: Starting a conversation. International Journal of Artificial Intelligence in Education, 11:163–176, 2000.[14] Wayne Holmes, Kaska Porayska-Pomsta, Ken Holstein

Conference Session

Miscellaneous Mechanics

Collection

2022 ASEE Annual Conference & Exposition

Authors

James Lord, Virginia Polytechnic Institute and State University

measures of both students and faculty, and the effects on student learning of increased reliance on teaching-faculty without tenure. © American Society for Engineering Education, 2022 Powered by www.slayte.com Hiring instructional faculty improves student achievement in large foundational engineering mechanics courses.AbstractOver the past several decades, faculty demographics at US institutions have shifted from amajority of instructional faculty being in tenure lines in the 1970’s to now a majority being non-tenure-track (NTT). There are concerns about the effect this shift has on the quality of educationstudents receive.Teaching large foundational