Conference Session

Fostering and Assessing Effective Teaming

Collection

2008 Annual Conference & Exposition

Authors

Diane Zemke, Gonzaga University; Steven Zemke, Gonzaga University

Tagged Divisions

Educational Research and Methods

. Nordoes it give a statistical description of large populations.ConclusionInformal leaders on student teams have to manage the task and relationships. Successful informalleaders manage the task component by a) taking time to understand the task, b) being technicallycompetent, c) maintaining quality through questioning and informal assessment, d) keeping thegroup focused on the task.The observed informal leaders also managed team relationships, although they were lesseffective at it. At times other team members assisted in managing the relational component.Managing the relational aspect of teamwork involves a) creating and maintaining a collaborativeenvironment, b) exhibiting fairness and humility toward teammates, and c) using creativity

Conference Session

ERM Technical Session 2: The Study of Identity in Engineering Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Caroline Bolton, Bucknell University; Kaela M. Martin, Embry-Riddle Aeronautical University; Elif Miskioglu, Bucknell University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

which they recovered successfullyand one in which they recovered unsuccessfully. Failure is thus defined in terms of how thestudent views it, similar to what they view as successful and unsuccessful. This section iscomposed of two sets of seven open-response questions, one for an unsuccessful recovery andone for a successful recovery respectively. They are as follows: a. Approximately, how long ago did this incident occur? b. Briefly describe the incident. c. How did you react to this failure? Please elaborate. d. Describe, if applicable, any immediate effect on your behavior or actions you took in response to the failure. e. Why do you consider your recovery successful/unsuccessful? Please elaborate. f. Do you believe

Conference Session

ERM Technical Session 2: The Study of Identity in Engineering Education

Collection

2019 ASEE Annual Conference & Exposition

Authors

Nicole P. Pitterson, Virginia Tech; Ashish Agrawal, University of Cape Town; Jennifer M. Case, Virginia Tech; Kevin Krost, Virginia Tech

Tagged Divisions

Educational Research and Methods

understanding of introductory engineering concepts using active learning strategies.Dr. Ashish Agrawal, University of Cape Town Ashish Agrawal is a postdoctoral research fellow in the Department of Chemical Engineering at the Uni- versity of Cape Town. He received his PhD in Engineering Education from Virginia Tech. Prior to that, he completed his MS from Virginia Tech and B-Tech from Indian Institute of Technology Roorkee, both in Electrical Engineering. His research interests include sociology of education, experiences of faculty and students in engineering, and critical and inclusive pedagogies.Dr. Jennifer M. Case, Virginia Tech Jennifer Case is Head and Professor in the Department of Engineering Education at

Conference Session

Innovative Use of Technology and the Internet in Engineering Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Paul S. Steif, Carnegie Mellon University; Luoting Fu; Levent Burak Kara, Carnegie Mellon University

Tagged Divisions

Educational Research and Methods

knowledge-based expert system for tutoring in structural engineering, Computers & Structures, Volume 30, Issue 3, 1988, Pages 767-773 12. Ana Lilia Laureano-Cruces and Fernando De Arriaga-Gomez, Multi-Agent Architecture for Intelligent Tutoring Systems, Interactive Learning Environments, Volume 6, Issue 3 December 1998 , 225 - 250 13. Ana Lilia Laureano Cruces and Fernando De Arriaga, REACTIVE AGENT DESIGN FOR INTELLIGENT TUTORING SYSTEMS, Cybernetics and Systems, Volume 31, Issue 1 January 2000, 1 – 47 14. Anderson, J. R., Boyle, C. F., & Reiser, B. J. (1985). Intelligent tutoring systems. Science, 228, 456-468. 15. Newell, A., & Simon, H. A. (1972). Human Problem Solving. Englewood Cliffs, NJ

Conference Session

Identity and Engineering: ERM Roundtable

Collection

2015 ASEE Annual Conference & Exposition

Authors

Allison Godwin, Purdue University, West Lafayette; Gerhard Sonnert, Science Education Department, Harvard-Smithsonian Center for Astrophysics; Philip Michael Sadler, Harvard Smithsonian Center for Astrophysics

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

result, ** represents a statistical significance less than 0.01 but greater than or equal to 0.001, and *** represents a statistical significance less than 0.001. b. Effect size calculated using Cohen’s w. Effect sizes are indicated as small 0.10, medium 0.30, and large 0.50.A practical example of this can also be seen in traditionally taught thermodynamics classes in thediscussion of an Otto cycle. This cycle is typically taught in most text books by describing a 4-cycle engine38 often without detailed discussion about how an ignition piston system works. Thisexample scaffolds tinkering experiences that vastly more male engineering students (65.5%)have than female engineering students (38.6%). Creating ways to incorporate all

Conference Session

Curricular Innovations 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Aidsa I. Santiago-Roman, University of Puerto Rico, Mayaguez; Jairo Andres Agudelo, University of Puerto Rico, Mayaguez; Arturo Ponce P.E., University of Puerto Rico, Mayaguez

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

datacompares negatively to Engineering Graphics Design (EGD), the previous engineering courserequired in their program of studies that has had a failure rate around 15% (refer to Figure 1). Figure 1. Failure percentage for A&P versus EGD17Research DesignProposed Teaching MethodologyAlgorithmic thinking is a collection of skills that are allied to conceptualize and comprehendalgorithms. According to Gerald Futsckek18 it includes “the ability to (a) analyze givenproblems, (b) specify a problem precisely, (c) find the basic actions that are adequate to the givenproblem, (d) construct a correct algorithm to a given problem using the basic actions, (e) thinkabout all possible special and normal cases of a problem, and (f) improve

Conference Session

Efforts to Understand and Support Students' Socioemotional Factors

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Joana Marques Melo, Purdue University, West Lafayette; Allison Godwin, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

(Salem, Mass.), vol. 95, no. 5, pp. 877–907, 2011, doi: 10.1002/sce.20441.[3] S. Y. Yoon, M. Dyehouse, A. M. Lucietto, H. A. Diefes-Dux, and B. M. Capobianco, "The Effects of Integrated Science, Technology, and Engineering Education on Elementary Students' Knowledge and Identity Development: Effects of Integrated STEM Education on Students," School science and mathematics, vol. 114, no. 8, pp. 380–391, 2014, doi: 10.1111/ssm.12090.[4] O. Pierrakos, T. K. Beam, J. Constantz, A. Johri, and R. Anderson, "On the development of a professional identity: Engineering persisters vs engineering switchers," in 2009 39th IEEE Frontiers in Education Conference, 2009, pp. 1–6.[5] B. Geisinger and D. R. Raman, "Why They Leave

Conference Session

Understanding Student Behavior and Experiences

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Arif Mohaimin Sadri, Florida International University

Tagged Divisions

Educational Research and Methods

entities also allows the experiment of highlydynamic behavior of the network agents that exist and interact within the complex architecture.Some promising research questions related to complex network systems may include: (a) how dointeractions between network agents (nodes/vertices) help to develop new ideas or informationwhile disseminating through the network? (b) is there any threshold at which the informationdissemination becomes a global cascade? (c) what is the rate and extent at which the informationdisseminates? The answer to these questions can be found in many empirical studies of real worldsystems, such as, disease transmission [7, 8]; transmission of computer viruses [9, 10]; collapse infinancial systems [11], failures of power grid

Conference Session

ERM Technical Session 10: Understanding Student Experiences

Collection

2019 ASEE Annual Conference & Exposition

Authors

Chris C. Martin, Georgia Institute of Technology; Joseph M. LeDoux, Georgia Institute of Technology; Wendy C. Newstetter, Georgia Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

believe our studies are useful in comparing social psychological theoriesbefore a theory is leveraged for novel interventions. They suggest that ODT-I should becombined with other theories to obtain a full picture of need satisfaction and affect amongstudents.AcknowledgmentsThis research was funded by NSF Award 1730262.References[1] G. J. Leonardelli, C. L. Pickett, and M. B. Brewer, “Optimal Distinctiveness Theory: A Framework for Social Identity, Social Cognition, and Intergroup Relations,” in Advances in Experimental Social Psychology, vol. 43, 2010, pp. 63–113.[2] M. B. Brewer and L. R. Caporael, “An evolutionary perspective on social identity: Revisiting groups,” in Evolution and social psychology, M. Schaller, J. A

Conference Session

Learning From Experts

Collection

2011 ASEE Annual Conference & Exposition

Authors

Sarah E. Parikh, Stanford University; Sheri Sheppard, P.E., Stanford University; Kenneth E. Goodson, Stanford University

Tagged Divisions

Educational Research and Methods

, which one and why? If not, why? b) Would one of the bags of ice cool the punch to a lower temperature? If so, which one and why? If not, why? Inspiration: Concept inventory questions on rate versus temperature12, 13.7. Egg I have always wondered if the saying “it was hot enough to fry an egg on the sidewalk” could be true. Please describe how you would determine if this could really happen. State any assumptions you would make. State any additional information that you would need and what you would do with the additional information. Inspiration: Comprehensive question including conduction, convection, radiation, temporal components, and material properties.8. Car You are buying a new car and the only thing that

Conference Session

Works in Progress: Classroom Practice

Collection

2016 ASEE Annual Conference & Exposition

Authors

M. Austin Creasy, Purdue University (Statewide Technology)

Tagged Divisions

Educational Research and Methods

Conference, Terre Haute, Indiana.9. Hattie, J., and Timperley, H. (2007) The Power of Feedback, Review of Educational Research 77, 81-112.10. Erickson, F. (2011) Uses of video in Social Research: A Brief History, International Journal of Social Research Methodology 14, 179-189.11. Powell, A. B., Francisco, J. M., and Maher, C. A. (2003) An Analytical Model for Studying the Development of Learners’ Mathematical Ideas and Reasoning Using Videotape Data, The Journal of Mathematical Behavior 22, 405-435.12. Tolbert, D., and Cardella, M. E. (2014) CAREER: Mathematics as a Gatekeeper to Engineering: The Interplay be-tween Mathematical Thinking and Design Thinking–Using Video Data, In Proceedings 121st ASEE

Conference Session

Project-Based Learning

Collection

2017 ASEE Annual Conference & Exposition

Authors

Sudhir Kaul, Western Carolina University; Bill Yang, Western Carolina University; Robert Scott Pierce P.E., Western Carolina University; Wesley L. Stone, Western Carolina University

Tagged Divisions

Educational Research and Methods

collection was performed in Spring 2016. From the larger section (Section A), 30students (out of 32) responded to the survey. Only 10 students (out of 19) responded to thesurvey from the smaller section (Section B). Since the survey was part of the end-of-semesterStudent Assessment of Instruction (SAI), an Institutional Review Board (IRB) request forHuman Subjects Research was not necessary. The survey was conducted in the electronic formatonly and students had access to the survey during the last four weeks of the semester. Studentswere asked to respond to the following statements in the survey: 1. The instructor explains the subject matter clearly. 2. The instructor answers questions appropriately. 3. The instructor stimulates my

Conference Session

Approaches to Assessment and Student Reflection

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ephraim Zegeye, Liberty University; Tom Eldredge, Liberty University

Tagged Divisions

Educational Research and Methods

rigid structure. The diameters of the bars are given in the figure. If the yield strengths of the steel and aluminum rods are 295 Mpa and 240 Mpa, respectively, a. Find the safe load P that should be applied on the rigid bar without yielding the two rods b. Find the deformations caused on each rod due to the load found in part (a). Take modulus of elasticity for steel and aluminum as 220 Gpa and 70 Gpa, respectively. No Criteria pts Your score

Conference Session

Methodological & Theoretical Contributions to Engineering Education 3

Collection

2014 ASEE Annual Conference & Exposition

Authors

Micah Lande, Arizona State University, Polytechnic campus; Shawn S. Jordan, Arizona State University, Polytechnic campus

Tagged Divisions

Educational Research and Methods

Education, 101 (2), 220-243.22. Geertz, C. (1973). The interpretation of cultures: Selected essays. New York: Basic Books.23. Clark-Ibanez, M. (2004). Framing the social world with photo elicitation interviews. American Behavioral Scientist, 47(12), 1507-1527.24. Harper, D. (2002). Talking about pictures: A case for photo elicitation. Visual Studies, 17(1), 13-26.25. Harrison, B. (2002). Photographic visions and narrative inquiry. Narrative Inquiry 12 (1), 87-111.26. Prosser, J. (1998). Imaged-based research. London: Falmer Press.27. Jordan, S., Adams, R., Pawley, A., & Radcliffe, D. (2009). Work in progress: The affordances of photo elicitation as a research and pedagogical method. Proceedings of the Frontiers in Education (FIE

Conference Session

Epistemic Research

Collection

2012 ASEE Annual Conference & Exposition

Authors

Erick Jacob Nefcy, Oregon State University; Edith Stanley Gummer, Education Northwest; Milo Koretsky, Oregon State University

Tagged Divisions

Educational Research and Methods

the laboratory notebooks. The notebooks are intended to contain allideas and notes over the course of the project and provide evidence of the models that studentteams use as well as their model progression and the strategies that they consider. This source iscomplemented by the written assignments and the experimental records from the virtuallaboratory database. These latter sources serve to confirm, explain or expand upon the notebookcontent.“Think-Aloud” Protocol AnalysisTwo teams, labeled Team A and Team B, were observed and audio recorded for the completeduration of the project, which represents 15.3 and 9.5 hours of recorded work, respectively.During this time, students were instructed to verbalize their thoughts but were not encouraged

Conference Session

Knowing Our Students II

Collection

2006 Annual Conference & Exposition

Authors

Jennifer Turns, University of Washington; Steve Lappenbusch, University of Washington

Tagged Divisions

Educational Research and Methods

and to introduce the next activity. The activitiesin the cross-curricular program included: a) learning about portfolios in general, b) evaluatingother portfolios, c) writing a professional statement, d) finding artifacts, e) deciding whichartifacts to include in the portfolio, f) writing annotations for the artifacts, g) getting peer andprofessional feedback, and h) presenting the portfolio to others. The interaction amongst peersand the teaching faculty member provided ample opportunity to deeply explore the issuesstudents faced, the component activities, and how those issues and activities interacted during theportfolio creation.Six students participated in this study. These students included two seniors on the verge ofgraduating, two

Conference Session

Data-informed Approaches to Understanding Student Experiences and Outcomes

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Qin Liu, University of Toronto; Greg Evans, University of Toronto

Tagged Divisions

Educational Research and Methods

data and enhance data efficacy. Engineering schools could then demonstrate a stronger capability in implementing student data analytics. • For engineering education researchers. Researchers should equip themselves with two types of knowledge: (a) knowledge on data science and machine learning, which is a driver of the fourth Industrial Revolution; and (b) knowledge specific to the types of student experiences (i.e., curricular and co-curricular) of their research interest. These two bodies of knowledge appear to be increasingly important to the interdisciplinary field of engineering education. Researchers also need to keep an open mind and explore a wider range of

Conference Session

Student Attitudes and Perceptions

Collection

2010 Annual Conference & Exposition

Authors

Jennifer Atchison, Drexel University; Dorothea Holmes-Stanley, St. Cyprian's School; Adam Fontecchio, Drexel University; Eli Fromm, Drexel University

Tagged Divisions

Educational Research and Methods

Education: Perspectives and challenges for Developing School Science.” Studies in Science Education, vol. 43, 2007 7. Herrigton, Jan., and Anthony Herrington, “Authentic Assessment and Multimedia: How University students respond to a model of authentic assessment” Higher Education Research and Development, vol. 17, Iss. 3, 1998 Page 15.1325.12 Appendix 1: Graphic Novel Rubric 1. Pick a topic: 2. Research your topic a. Create reference cards b. 10 facts that must be included in your story 3. Outline the plot of your story

Conference Session

Student Teams and Project-Based Learning

Collection

2007 Annual Conference & Exposition

Authors

Steven Zemke, Gonzaga University; Diane Zemke, Gonzaga University

Tagged Divisions

Educational Research and Methods

(b) Design Tasks Dialogue 5. Draw Plausible Connections 4. Characterize Major between Session Design and Features of the Student Student Dialogue Dialogue 6. Create List of Plausible “Best Practices” for Session DesignFigure 1. Steps to Surface “Best Practices” for Active Session Design3.1. Basic Structure of SessionsThe class was divided into four-person teams for the active sessions. At the beginning of eachsession, the four-person teams were divided into pairs and given a short exercise. The purpose ofthe paired exercises was to get the

Conference Session

Motivation and Self-Efficacy

Collection

2013 ASEE Annual Conference & Exposition

Authors

Philip Reid Brown, Virginia Tech; Holly M Matusovich, Virginia Tech

Tagged Divisions

Educational Research and Methods

Paper ID #6950Unlocking Student Motivation: Development of an Engineering MotivationSurveyMr. Philip Reid Brown, Virginia Tech Philip Brown is a Ph.D. candidate in Virginia Tech’s Department of Engineering Education. He has a B.S. from Union College and a M.S. from Duke University, both in Electrical Engineering. His research interests include informed career decisions, mixed methods research, motivation and learning theories and intervention development.Dr. Holly M Matusovich, Virginia Tech Page 23.1284.1

Conference Session

Institutional and Curricular Reform

Collection

2008 Annual Conference & Exposition

Authors

David Goldberg, University of Illinois at Urbana-Champaign; Andreas Cangellaris, University of Illinois at Urbana-Champaign; Michael Loui, University of Illinois at Urbana-Champaign; Raymond Price, University of Illinois at Urbana-Champaign; Bruce Litchfield, Univ Of Illinois-Urbana Champaign

Tagged Divisions

Educational Research and Methods

rise of the creative class. New York: Basic Books. 13. Spalter-Roth, R., N. Fortenberry, & Lovitts, B. (2007). The acceptance and diffusion of innovation: A cross-disciplinary approach to instructional and curricular change in engineering. Washington, DC: American Sociological Association. 14. iFoundry (2007). Whitepaper for an Illinois foundry for tech vision and leadership (Technical Report). iFoundry, University of Illinois at Urbana-Champaign, Urbana, IL. Page 13.684.8

Conference Session

Physics Education Research (PER) Relevant for Engineering Education

Collection

2008 Annual Conference & Exposition

Authors

David Maloney, Indiana University Purdue University, Fort Wayne (Eng)

Tagged Divisions

Educational Research and Methods

value is not the goal, so they needto think of some means besides an equation to reach this goal. And in the latter case thestudent may simply think they can use the heuristic of process of elimination to rank thechoices on the basis of one of the parameters given.Ranking tasks can also be used to help students better understand equations as models—representations—of physical systems and how common sense ideas they have affect howthey try to apply equations. For example, the ranking task shown in Figure 4 was givenas a homework task in a general physics course enrolling engineering technology majorsafter Newton’s second law had been introduced. Two thirds of the students (19/29)produced a ranking of E first, A and D tied for second, C fourth, B

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

Persistence and Retention

Collection

2015 ASEE Annual Conference & Exposition

Authors

Jennifer Van Dyken, Clemson University; Lisa Benson, Clemson University; Patrick Gerard, Clemson University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Course – Calculus II -0.4045 0.1546 Grade – A 1.4914 0.1914 Grade – B 1.3151 0.1894 Grade – C 0.6959 0.1957 Grade – D 0.3919 0.2455 Grade – F 0.1231 0.2084 Page 26.1225.5 Grade – P 1.2672 0.2541 Gender

Conference Session

Novel Pedagogies 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

M. Razi Nalim P.E., Indiana University Purdue University, Indianapolis; Manikanda K Rajagopal, Indiana University - Purdue University Indianapolis; Robert J Helfenbein, Indiana University-IUPUI, School of Education

Tagged Divisions

Educational Research and Methods

-relatedprinciples: (a) developing a long-term time-line, (b) using theory and data to inform decisions, Page 23.591.6(c) paying attention to formative and summative components of the study, (d) creating sharplyfocused causal questions regarding impact of the program, and (e) using a variety of quantitativeand qualitative evidence to support claims.B. Research Questions   1. How are instructors implementing (or not) PEL in their classrooms? 2. How does the implementation of PEL in gateway engineering classrooms follow “best practice” as identified by the research? 3. How supported (by all stakeholders) do

Conference Session

Retention and Persistence in Engineering

Collection

2013 ASEE Annual Conference & Exposition

Authors

Geoff Potvin, Clemson University; Zahra Hazari, Florida International University; Leidy Klotz, Clemson University; Allison Godwin, Clemson University; Robynne M. Lock, Department of Engineering and Science Education, Clemson University; Jennifer Dawn Cribbs, Western Kentucky University; Nicole Barclay, Clemson University

Tagged Divisions

Educational Research and Methods

& Sullivan, T. N. Engineering students' perceptions of engineering specialties. Journal of VocationalBehavior; 2005, 67, 87-101.[8] Zhang, G., Thorndyke, B., Ohland, M., Carter, R., & Anderson , T. Demographic Factors and AcademicPerformance: How Do Chemical Engineering Students Compare with Others? In American Society for Engineering Page 23.438.10Education Conference; 2003.[9] Dee, K. C.; Nauman, E.; Livesay, G. & Rice, J. Research report: learning styles of biomedical engineeringstudents. Annals of Biomedical Engineering; 2002, 30, 1100-1106.[10] Johnson, H.; Singh, A. The personality of civil engineers. Journal

Conference Session

Assessment of Student Learning 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jesse Pappas, James Madison University

Tagged Divisions

Educational Research and Methods

Paper ID #7256Multisource feedback for STEM students improves academic performanceDr. Jesse Pappas, James Madison University Jesse Pappas studied self-insight, intentional self-development, and the role of emotion in self-perception at the University of Virginia, where he received a Ph.D. in social psychology. His dissertation project involved adapting established professional development tools to facilitate the personal and academic suc- cess of college students and others. As a research fellow in the School of Engineering at James Madison University, Jesse currently leads efforts to equip future scientists and

Conference Session

Team Facilitation and Effectiveness

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

P.K. Imbrie, University of Cincinnati; Jutshi Agarwal, University of Cincinnati; Gibin Raju, University of Cincinnati

Tagged Divisions

Educational Research and Methods

University Press, 1999.[15] L. K. Michaelsen, A. B. Knight and L. D. Fink, Team-Based Learning: A Transformative Use of Small Groups in College Teaching, Sterling, VA: Stylus Publishing, 2004.[16] P. Gallegos and M. Peeters, "A measure of teamwork perceptions for team-based learning," Currents in Pharmacy Teaching and Learning, vol. 3, no. 1, pp. 30-35, 2011.[17] P. Lewis, D. Aldridge and P. M. Swamidass, "Assessing Teaming Skills Acquisition on Undergraduate Project Teams," Journal of Engineering Education, vol. 87, no. 2, pp. 149-155, 1998.[18] M. A. Campion, G. J. Medsker and A. C. Higgs, "Relations between work group characteristics and effectiveness: Implications for designing effective work groups," Personnel Psychology, vol

Conference Session

Motivation and Self-Efficacy

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hannah Kolar, Arizona State University; Adam R Carberry, Arizona State University; Ashish Amresh, Arizona State University

Tagged Divisions

Educational Research and Methods

-Collegiate Factors Influencing the Self-Efficacy of Engineering Students', Journal of Engineering Education 100(3), 604--623.11. Hutchison, M.; Follman, D.; Sumpter, M. & Bodner, G. (2006), 'Factors influencing the self-efficacy beliefs of first-year engineering students', Journal of Engineering Education - Washington 95(1), 39.12. Kilgore, D., Atman, C.J., Yasuhara, K., Barker, T.J. and Morozov, A. 2007. “Considering Context: A Study of First-Year Engineering Students.” Journal of Engineering Education, Vol. 96 (4), pp. 321- 334.13. Marra, R.,M. Rodgers, K.A., Shen, D., and Bogue, B. 2009. “Women Engineering Students and Self- Efficacy: A Multi-Year, Multi-Institution Study of Women Engineering Student Self

Conference Session

Life After Graduation

Collection

2017 ASEE Annual Conference & Exposition

Authors

Bernhard Schadl, Stanford University; Sheri Sheppard, Stanford University; Helen L. Chen, Stanford University

Tagged Divisions

Educational Research and Methods

describedin Table 2 on a five-point Likert scale (“Definitely will not”, “Probably will not”, “Might ormight not”, “Probably will” and “Definitely will”).Table 2: The Eight EMS Career Options in Q20 (A) Work as an (B) Work as an (C) Work as an (D) Work as an employee for employee for a small employee for a medium- employee for a non- the government, military, or business or start-up or large-size business profit organization public agency (excluding a company school or college/university) (E) Work as a teacher (F) Work as a faculty (G) Found or start your (H) Found or start your own or educational