Conference Session

Degree Pathways and Cocurricular Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Joanna Mirecki Millunchick, University of Michigan; Yixian Zhou

Tagged Divisions

Educational Research and Methods

Engineering Students’ Communication, Teamwork, and Leadership Skills, vol. 57, no. 3. Springer Netherlands, 2016.[5] B. A. Burt, D. D. Carpenter, C. J. Finelli, and T. S. Harding, “Outcomes of engaging engineering undergraduates in co-curricular experiences.”[6] L. C. Strauss and P. T. Terenzini, “The Effects of Students’ In- and Out-of-Class Experiences on their Analytical and Group Skills: A Study of Engineering Education,” Res. High. Educ., vol. 48, no. 8, pp. 967–992, Dec. 2007.[7] A. L. Miller, L. M. Rocconi, and A. D. Dumford, “Focus on the finish line: does high- impact practice participation influence career plans and early job attainment?,” High. Educ., vol. 75, no. 3, pp. 489–506, 2018.[8] S

Conference Session

Quantitative Research Methods

Collection

2017 ASEE Annual Conference & Exposition

Authors

Kevin A. Nguyen, University of Texas, Austin; Robert Matthew DeMonbrun, University of Michigan; Maura J. Borrego, University of Texas, Austin; Michael J. Prince, Bucknell University; Jenefer Husman, University of Oregon; Cynthia J. Finelli, University of Michigan; Prateek Shekhar, University of Michigan; Charles Henderson, Western Michigan University ; Cindy Waters, North Carolina A&T State University

Tagged Divisions

Educational Research and Methods

79 16 M Private R2 INTRO 140 17 F Private M1 INTRO 123* Carnegie classifications: R1 = Doctoral Universities: Highest Research Activity; R2 = Doctoral Universities: Higher Research Activity; M1 = Master's Colleges and Universities: Larger Programs; M3 = Master's Colleges and Universities: Smaller Programs; B-A/S = Baccalaureate Colleges: Arts & Sciences Focus; and B-DIV = Baccalaureate Colleges: Diverse Fields** Course disciplines: CBME = Chemical/Biomedical Engineering; CIVIL = Civil and Environmental Engineering; DESIGN = Design; EECS = Electrical Engineering/Computer

Conference Session

Motivation, Identity, and Belongingness

Collection

2018 ASEE Annual Conference & Exposition

Authors

Anita Patrick, University of Texas, Austin; Maura J. Borrego, University of Texas, Austin; Carolyn Conner Seepersad, University of Texas, Austin

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

of prior studies of STEM identity. Asengineering identity frameworks are further refined we can start to investigate theongoing work of identity formation amongst individuals and groups, thus broadening ourunderstanding of what it means to be an engineer.AcknowledgementsThis research was funded by the National Science Foundation through grants #1636449and #1636404. The authors wish to thank department chairs, faculty members,instructors, and students who made the collection of this data possible. Any opinions,findings, and conclusions in this article are the authors’ and do not necessarily reflect theviews of the National Science Foundation.ReferencesBlake-Beard, S., Bayne, M. L., Crosby, F. J., & Muller, C. B. (2011). Matching by race

Conference Session

Educational Research and Methods Division Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Brittany Bradford, Rice University; Margaret E. Beier; Michael Wolf, Rice University; Megan McSpedon, Rice University; Ann Saterbak, Duke University

Tagged Divisions

Educational Research and Methods

learning, which may inturn increase STEM grades. Finally, we will also determine whether the scale has predictivevalidity over longer time periods on the psychological variables assessed in this study.We are optimistic about the potential to develop a reliable measure of STEM study strategies, aswell as explore whether intervening to change students’ study behaviors can improve importantSTEM outcomes.AcknowledgementsWe are grateful to the National Science Foundation (NSF-DUE #1565032) for funding thisstudy.References[1] Rach, S., & Heinze, A. (2011). Studying mathematics at the university: The influence of learning strategies. Presented at the 35th Conference of the International Group for the Psychology of Mathematics Education, Ankara

Conference Session

Practice II: Curricular Innovations

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sarah Hug, Colorado Evaluation & Research Consulting; Suzanne Eyerman, Fairhaven Research and Evaluation

Tagged Divisions

Educational Research and Methods

access to materials and appear to participate in the activity Purposeful Cohesiveness of each portion 2.77 4 Activities of the lesson and evidence that suggests each element of the lesson relates to the STEM learning goal(s) Engagement with Opportunity for youth to 2.52 3 STEM construct understanding and actively participate in the cognitive work of the activity STEM content Youth can build and express 2.28 3 learning their STEM understanding, which is connected throughout the

Conference Session

They're Not "Soft" Skills!

Collection

2011 ASEE Annual Conference & Exposition

Authors

Ruth Wertz P.E., Purdue University, West Lafayette; Meagan C. Ross, Purdue University, West Lafayette; Senay Purzer, Purdue University, West Lafayette; Michael Fosmire, Purdue University Libraries, West Lafayette; Monica E. Cardella, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

expedient manner, and wepresent results of data collected from 366 first-year engineering students. The instrumentrequires students to first read a technical memo and, based on the memo‟s arguments, answereight multiple choice and two open-ended response questions. The mean score on the multiplechoice portion was only 3.46 out of 8. A qualitative analysis of the open-ended responsesprovided more insights into students‟ abilities to identify and resolve conflicts betweeninformation sources, evaluate the reliability and relevancy of information sources, and usereliable information sources.IntroductionOne of the most important skills students can take away from a technical education is the abilityto become curious, persistent, and life-long learners

Conference Session

Special Session: Next Generation Problem-Solving

Collection

2010 Annual Conference & Exposition

Authors

Ronald Miller, Colorado School of Mines; Tamara Moore, University of Minnesota; Brian Self, California Polytechnic State University; Andrew Kean, California Polytechnic State University; Gillian Roehrig, University of Minnesota; Jack Patzer, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

1 2Instructor 3 2 --- 1 1 2 3 1 1 5 1 --- ---Instructor 4 2 1 1 4 1 --- 1 --- --- 4 2 1Instructor 5 2 --- 3 3 1 ---Instructor 1’s Case:Instructor 1 believes that MEAs have the potential to change the way that engineering studentslearn to be engineers. He is particularly interested in how MEAs can facilitate ethics education inengineering and how

Conference Session

ERM Potpourri

Collection

2006 Annual Conference & Exposition

Authors

Katie Sullivan, University of Utah; April Kedrowicz, University of Utah

Tagged Divisions

Educational Research and Methods

Conference Session

Engineering Cultures and Identity

Collection

2016 ASEE Annual Conference & Exposition

Authors

Anita Patrick, University of Texas, Austin; Maura Borrego, University of Texas, Austin

Tagged Topics

ASEE Diversity Committee, Diversity

Tagged Divisions

Educational Research and Methods

these identity frameworks in the broaderliterature. To be fair, in the broader literature there have only been a few claims that identity isexplicitly distinct from other constructs such as self-efficacy2 or the expectancy-value theory ofachievement motivation.3 However, in the last five years some have made this distinction. Forexample, Lent, R. W., Brown, S. D., & Hackett, G.4 expand on Bandura’s theory of self-efficacyto the extent of illuminating the importance of self-efficacy in academic persistence. While thisis not explicitly identity, self-efficacy is a theoretically relevant construct that had to be takeninto consideration in this review as it is often associated with identity measures.Table 1 Categorization of Identity Studies by

Conference Session

Teaching and Learning in Online Environments

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Javeed Kittur, Arizona State University; Jennifer M. Bekki, Arizona State University; Samantha Ruth Brunhaver, Arizona State University

Tagged Divisions

Educational Research and Methods

). Grade Increase: Tracking Distance Education in the United States. Babson Survey Research Group.2. Rovai, A. P., & Downey, J. R. (2010). Why some distance education programs fail while others succeed in a global environment. The Internet and Higher Education, 13(3), 141-147.3. Frydenberg, J. (2007). Persistence in university continuing education online classes. The international review of research in open and distributed Learning, 8(3).4. Heyman, E. (2010). Overcoming student retention issues in higher education online programs: A Delphi study. University of Phoenix.5. Carr, S. (2000). As distance education comes of age, the challenge is keeping the students. Chronicle of higher education, 46(23).6. Brady, L. (2001). Fault

Conference Session

Knowing our Students, Faculty, and Profession

Collection

2010 Annual Conference & Exposition

Authors

Samantha Brunhaver, Stanford University; Russell Korte, University of Illinois, Urbana-Champaign; Micah Lande, Stanford University; Sheri Sheppard, Stanford University

Tagged Divisions

Educational Research and Methods

Thesecond study, conducted by Korte et al. in 2008, looked at 17 new engineers at a large,international car manufacturer which they termed Big Car Company. Like Polach, they showedthat new engineers in this organization relied heavily on coworkers for help and that anunderstanding of the larger organization was crucial to the understanding of their own day-to-daywork.6 Viewing these findings in terms of supports and barriers, high-quality relationships withcoworkers and an understanding of “the big picture”6 could be considered supports for newengineers while the lack of either could be considered barriers. This paper applies the samesupport/barrier framework to Korte et al.’s original data set, consisting of interviews with 59 newengineers at four

Conference Session

Thinking About the Engineering Curriculum

Collection

2012 ASEE Annual Conference & Exposition

Authors

Judith A. Sunderman, University of Illinois, Urbana-Champaign; Raymond L. Price, University of Illinois, Urbana-Champaign

Tagged Divisions

Educational Research and Methods

. 10 The curriculum incubator was developed as a protected space and time for faculty toexplore and adapt approaches to teaching and learning. Because the concept of curriculumincubation is new there is little research or theory to guide development of the incubator oranticipate its effectiveness. Since educational improvement is an institutional commitment withoutcomes demonstrated over a long period of time, it is important to determine whether theconcept of curriculum incubation has merit, the potential to produce innovative instructionaldesigns and long-term educational improvement.Incubation Theory The idea of incubation as a protected environment for nurturing change began in the1950’s with the invention of business

Conference Session

They're Not "Soft" Skills!

Collection

2011 ASEE Annual Conference & Exposition

Authors

Susan M. Lord, University of San Diego; Candice Stefanou, Bucknell University; Michael J. Prince, Bucknell University; John Chen, California Polytechnic State University; Jonathan D. Stolk, Franklin W. Olin College of Engineering

Tagged Divisions

Educational Research and Methods

norms would be mostappropriate. However, because no engineering students were included in the sample that producedthe means provided in the MSLQ, we felt it was important to obtain a reference point from which tounderstand where the engineering students in this study started. We compared our engineeringstudents in individual classes to the means in the MSLQ manual. The results of this analysis areshown in Table 2 and inform some of the discussion later in the paper.Table 2 shows significant differences between the MSLQ reference data and course-specificengineering student groups in this study. Instructor 1’s students reported significantly higher meanscores in the learning strategy of time and study environment; and lower mean scores in the

Conference Session

Understanding Students and Faculty

Collection

2011 ASEE Annual Conference & Exposition

Authors

Linda Vanasupa, California Polytechnic State University; Qiong Zhang, University of South Florida; James R. Mihelcic, University of South Florida; Julie Zimmerman, Yale University; Nina J. Truch, California Polytechnic State University

Tagged Divisions

Educational Research and Methods

, preserving nature [13] Unity with nature, fitting into nature [16] Respecting the earth, harmony with other species [14] Altruistic values Equality, equal opportunity for all [12] Social justice, correcting injustices, care for those who are less privileged [17] A world at peace, free of war and conflict [15]Methods of Instrument AdministrationThe instrument was administered in three parts at a private research university in the northeasternUnited States (E-group), a public research university in the southern United States (S-group) anda public masters university in the pacific coastal United States (P-group). Students wererequested to take the survey by the faculty in their courses. The

Conference Session

Research on Diversity, Equity, and Inclusion

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

David Ray Waller, Purdue University, West Lafayette; Yukiko Maeda, Purdue University, West Lafayette; Matthew W. Ohland, Purdue University, West Lafayette; Louis Tay, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

female and minoritized student representation. We will alsowork to identify other department-level metrics that could help explain disciplinary differencesin persistence.ReferencesAstin, A. W. (1985). Achieving educational excellence: A critical assessment of priorities and practices in higher education. San Francisco: Jossey-Bass.Astin, A. W. (1993). What matters in college? Four critical years revisited. San Francisco: Jossey-Bass.Berger, J. B., & Milem, J. F. (2000). Organizational behavior in higher education and student outcomes. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. XV, pp. 268–338). Agathon.Brawner, C. E., Lord, S. M., Layton, R. A., Ohland, M. W., & Long, R. A. (2015). Factors

Conference Session

Undergraduate Students' Development of Computational and Programming Skills

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Morgan M. Fong, University of Illinois, Urbana-Champaign; Seth Poulsen, University of Illinois at Urbana-Champaign; Geoffrey L. Herman, University of Illinois at Urbana-Champaign

Tagged Divisions

Educational Research and Methods

, Inc, 2013. doi: 10.1145/2534860.[2] R. Bockmon, S. Cooper, J. Gratch, J. Zhang, and M. Dorodchi, “Can Students’ Spatial Skills Predict Their Programming Abilities?,” in Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, Trondheim Norway, Jun. 2020, pp. 446–451. doi: 10.1145/3341525.3387380.[3] S. Cooper, K. Wang, M. Israni, and S. Sorby, “Spatial Skills Training in Introductory Computing,” in Proceedings of the eleventh annual International Conference on International Computing Education Research - ICER ’15, Omaha, Nebraska, USA, 2015, pp. 13–20. doi: 10.1145/2787622.2787728.[4] S. Jones and G. Burnett, “Spatial Ability and Learning to Program,” Hum. Technol

Conference Session

Innovative Pedagogies Afforded Through Technology and Remote Learning

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Manjina Shrestha, Georgia Institute of Technology

Tagged Divisions

Educational Research and Methods

. Owen, "Implementing virtual learning environments: Looking for holistic approach." Journal of Educational Technology & Society 3.3 (2000): 39-53.[3] J. M. Spector, “The potential of smart technologies for learning and instruction,” Int. j. smart technol. learn., vol. 1, no. 1, p. 21, 2016.[4] B. J. DiSalvo and A. Bruckman, “Questioning video games’ influence on CS interest,” in Proceedings of the 4th International Conference on Foundations of Digital Games - FDG ’09, 2009.[5] M. Papastergiou, “Digital Game-Based Learning in high school Computer Science education: Impact on educational effectiveness and student motivation,” Comput. Educ., vol. 52, no. 1, pp. 1–12, 2009.[6] N. Jain, P. Youngblood, M. Hasel, and S

Conference Session

Academic Success and Retention

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Nong Ye, Arizona State University; Ting Yan Fok, Arizona State University; James Collofello, Arizona State University; Tami Coronella, Arizona State University

Tagged Divisions

Educational Research and Methods

and numeric data together and uncover multivariate data associations fromdata. The PVAD algorithm was used to obtain data associations. Each association is in the formof X  retention = YES, where X represents specific value(s) of one or multiple variables.Hence, X in each data association reveals characteristics of students whose retention variable(s)indicates them staying in engineering after the first year at ASU. In this study, we looked intoonly 1-to-1 data associations with X containing one variable and its specific value, because p-to-1 data associations, p > 1, with X containing multiple variables and their specific value are oftencombinations of characteristics from 1-to-1 data associations. A supporting instance of a 1-to-1data

Conference Session

Motivation, Attitudes, and Beliefs

Collection

2018 ASEE Annual Conference & Exposition

Authors

Heather Lee Perkins, North Carolina State University; Mary Wyer

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

of factors promoting the retention and persistence of students of color in STEM,” J. Negro Educ., vol. 80, no. 4, pp. 491–504, 2011.[11] S. Cheryan, V. C. Plaut, P. G. Davies, and C. M. Steele, “Ambient belonging: How stereotypical cues impact gender participation in computer science.,” J. Pers. Soc. Psychol., vol. 97, no. 6, pp. 1045–1060, 2009.[12] S. Jones, “More than an intervention: strategies for increasing diversity and inclusion in STEM,” J. Multicult. Educ., vol. 10, no. 2, pp. 234–246, 2016.[13] D. M. Wilson, P. Bell, D. Jones, and L. Hansen, “A cross-sectional study of belonging in engineering communities,” Int. J. Eng. Educ., vol. 26, no. 3, pp. 687–698, 2010.[14] R. A. Lazowski, “A Meta-Analytic Tutorial

Conference Session

Practice III: Multimedia Learning

Collection

2018 ASEE Annual Conference & Exposition

Authors

John T. Solomon, Tuskegee University; Eric Hamilton, Pepperdine University; Vimal Kumar Viswanathan, San Jose State University; Chitra R. Nayak, Tuskegee University; Firas Akasheh, Tuskegee University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

NationalScience Foundation. The authors would like to acknowledge Dr. Zengjun Chen for assisting withCAT test evaluation. Partial findings from the preliminary studies have been presented in theASEE Annual Conferences in 2016 (Paper #16685) and 2017 (Paper #17913).References: 1. Crawley, E.F., Malmqvist, J., Östlund, S., Brodeur, D.R., and Edström, K., "Historical accounts of engineering education", Rethinking engineering education: Springer, 2014, pp. 231-255. 142. Froyd, J.E., Wankat, P.C., and Smith, K.A.," Five major shifts in 100 years of engineering education", Proceedings of the IEEE Vol. 100, No. Special Centennial Issue, 2012, pp. 1344-1360.3. Graham, R.," Achieving excellence in

Conference Session

Motivation, Attitudes, and Beliefs

Collection

2018 ASEE Annual Conference & Exposition

Authors

Justine Chasmar, Goucher College; Katherine M. Ehlert, Clemson University

Tagged Divisions

Educational Research and Methods

motivate studentswithin their class by customizing course instruction and materials reflective of their students’future goals. With this additional motivation, students are more likely to use self-regulatorystudy strategies and behaviors, which has been shown to be a positive predictor of classroomsuccess [61]–[64].References[1] J. Husman and D. F. Shell, “Beliefs and perceptions about the future: A measurement of future time perspective,” Learn. Individ. Differ., vol. 18, no. 2, pp. 166–175, 2008.[2] S. E. Tabachnick, R. B. Miller, and G. E. Relyea, “The relationships among students’ future-oriented goals and subgoals, perceived task instrumentality, and task-oriented self- regulation strategies in an academic environment.,” J

Conference Session

Design Thinking and Creativity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Andrew Valentine, RMIT University; Iouri Belski, RMIT University; Margaret Hamilton, RMIT University

Tagged Divisions

Educational Research and Methods

idea to one (or more) of the eight fields ofMATCEMIB. Idea flexibility was then established as the number of fields of MATCEMIBthe student had used in the generation of all their ideas. Therefore, idea fluency had nomaximum range, while idea flexibility was limited to a maximum value of eight. Theevaluation of the three assessors was then checked for inter-rater reliability. Results showedthat agreement was high, with values of Cronbach‟s alpha above 0.9 for idea fluency and ideaflexibility. The values of idea fluency and flexibility for each student were then set as theaverage of the values independently allocated by the three assessors.ResultsAnalysis showed that the mean number of ideas generated for first year students was 10.53,while

Conference Session

ERM Technical Session 12: Creativity and Problem Framing

Collection

2019 ASEE Annual Conference & Exposition

Authors

Michael Lawrence Anderson P.E., United States Air Force Academy; Karen Elaine Anderson, Destination Imagination Inc.; Daniel D. Jensen, Singapore University of Technology and Design/MIT International Design Center

Tagged Divisions

Educational Research and Methods

. The proposed creativity enhancing activitieswere created by Destination Imagination, a non-profit educational organization dedicated toteaching the creative process [28, 29].2. Background and MotivationCreativity is a construct that is commonly used, yet in research related terms, it evades consensusin definition [17] - [19]. This can undermine consistent findings when examining the efficacy ofcreativity enhancement and assessment. Although a single agreed upon definition has not beenestablished, Plucker, et al.’s survey of research on creativity found that there appears to be someconsensus that creativity has two basic characteristics: originality and usefulness [17]. For thisstudy, the definition proposed by Plucker, Gehetto, and Dow will

Conference Session

Student Success I: Interventions and Programs

Collection

2016 ASEE Annual Conference & Exposition

Authors

Sara Hahler, Louisiana Tech University; Marisa K. Orr, Louisiana Tech University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

1 = Black/African American Louisiana Residency (State) 0 = Non-Resident 1 = Resident High School Rank (HSRank) 0.2 – 100 High School GPA (HSGPA) 1.59 – 4.0 ACT component scores Science Score (ACT S) 7 – 36 Mathematics Score (ACT M) 14 – 36 English Score (ACT E) 11 – 36 Reading Score (ACT R) 12 – 36ParticipantsThe participants involved in this study include first-time-in-college (FTIC) freshmen whoentered the university in any school year between 2006 and 2015 and declared an engineeringdiscipline as their major. Enrollment in a university seminar class that all FTIC freshmen

Conference Session

New Models for Teaching and Learning

Collection

2007 Annual Conference & Exposition

Authors

Margherita Landucci, Liceo Artistico Statale; Fabio Garganego, Municipality of Venice

Tagged Divisions

Educational Research and Methods

of formulae. For example, ourintuition tells us that the words tree or eat can not be broken down into any meaningful parts.In contrast, the words trees and eating seem to be made up of two parts: the word tree, eatplus an additional element, -s (the ‘plural’) or –ing (the ‘past o present participle’). In thesame way, our intuition tells us that the chemical word Fe can not be broken down into anymeaningful parts. In contrast, the word Fe(s) seems to be made up of two parts: the word Feplus an additional element (s), which indicates the solid state of aggregation.Inflectional versus derivative morphemes‘Tree’, ‘eat’ and ‘Fe’ are called free morphemes; while ‘–s’, ‘-ing’ and ‘(s)’ are called boundmorphemes. Two or more morphemes in

Conference Session

Methodological & Theoretical Contributions to Engineering Education 3

Collection

2014 ASEE Annual Conference & Exposition

Authors

Rachel Louis Kajfez, Ohio State University; Elizabeth G. Creamer, Virginia Polytechnic Institute and State University

Tagged Divisions

Educational Research and Methods

Research Questions Question(s) Qual Research Question Question Mixing in One Mixing in Two Mixing in Three Phases of Mixing No Mixing Phase Only Phases or More Phases Mention

Conference Session

Understanding Our Students

Collection

2011 ASEE Annual Conference & Exposition

Authors

Samantha Ruth Brunhaver, Stanford University; Sheri Sheppard, Stanford University; Ozgur Eris, Franklin W. Olin College of Engineering

Tagged Divisions

Educational Research and Methods

-engineering extracurricular activities and internship experiences, her m/c peer viewed suchactivities as encroaching on her limited time. We argue that a student‟s level of non-academicinvolvement is related to the importance she ascribes to professional and interpersonal skills inengineering. Implications for engineering educators and suggestions for further research arediscussed.IntroductionFindings from the recent Academic Pathways Study (APS) sponsored by the Center forAdvancement of Engineering Education (CAEE) have shown that intrinsic psychologicalmotivation to study engineering and confidence in professional and interpersonal skills are keypredictors of engineering seniors‟ future plans1. Sheppard et al. (2010) have also shown that,when taken

Conference Session

Team Facilitation and Effectiveness

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Benjamin Emery Mertz, Rose-Hulman Institute of Technology; Ashley Bernal, Rose-Hulman Institute of Technology; Patrick Cunningham, Rose-Hulman Institute of Technology; Shraddha Sangelkar, Rose-Hulman Institute of Technology

Tagged Divisions

Educational Research and Methods

experiences. It seems like there iscurrently a lack of clarity around the current learning objectives for teaming. Future work willbe dedicated to completing the interviews and analysis. After that, the results will bedisseminated in order to build a shared vision within the department regarding learningobjectives for teaming and scaffolding instruction to achieve the desired goals.References[1] ABET. https://www.abet.org/accreditation/accreditation-criteria/ (accessed 20 January, 2020).[2] M. Borrego and C. Henderson, "Increasing the use of evidence‐based teaching in STEM higher education: A comparison of eight change strategies," Journal of Engineering Education, vol. 103, no. 2, pp. 220-252, 2014.[3] S. Sangelkar, B. E

Conference Session

Student Engagement, Socioemotional Needs, and Social Support During Pandemic

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sarah E. Zappe, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Sam Spiegel, Colorado School of Mines; Deb Jordan, Colorado School of Mines; Ariana C. Vasquez, Colorado School of Mines

Tagged Divisions

Educational Research and Methods

: I = industry, RRCC = Red RocksCommunity College, M = Mines, S = student/personal] –assessments and modules will initially be piloted in industry,then additional resources will be rolled out to all four settings.AcknowledgementThis material is based upon work supported by the National Science Foundation under GrantNumber 1935674. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.ReferencesAguilar, L., Walton, G., & Wieman, C. (2014). Psychological insights for improved physics teaching. Physics Today. 67(5): 43-49.Bandura, A. (1997). Self-efficacy: The Exercise of Control. W H Freeman/Times Books

Conference Session

Reflection

Collection

2017 ASEE Annual Conference & Exposition

Authors

Kristine R. Csavina, Colorado School of Mines; Adam R. Carberry, Arizona State University; Trevor Scott Harding, California Polytechnic State University, San Luis Obispo; Patrick Cunningham, Rose-Hulman Institute of Technology

Tagged Divisions

Educational Research and Methods

Materials Science Engineering from Alfred University, and received his M.S. and Ph.D., both from Tufts University, in Chemistry and Engineering Education respectively. Dr. Carberry was previously an employee of the Tufts’ Center for Engineering Education & Outreach and manager of the Student Teacher Outreach Mentorship Program (STOMP).Dr. Trevor Scott Harding, California Polytechnic State University, San Luis Obispo Dr. Trevor S. Harding is Professor of Materials Engineering at California Polytechnic State University where he teaches courses in materials design, biopolymers, and nanocomposites. Dr. Harding has served as PI of a multiinstitutional effort to develop psychological models of the ethical decision making of