Conference Session

Using Classroom Technologies

Collection

2009 Annual Conference & Exposition

Authors

Joanna Garner, Pennsylvania State University; Allen Gaudelli, Pennsylvania State University; Sarah Zappe, Pennsylvania State University; Michael Alley, Pennsylvania State University

Tagged Divisions

Educational Research and Methods

decision to fill thebulleted textbox with text has led to the addition of redundant information. The slide violates themultimedia principle, the principle of coherence, and the principle of signaling. Synthesizing Diamonds • How would we feel about the uniqueness of diamonds if it was possible to make one in a laboratory, just like the real thing? • Science has finally found a way to replicate in a few days something that nature has taken millions of years to produce - diamonds. These synthetic diamonds are so close to the real thing, that they have the same atomic structure as natural diamonds. Even the most sophisticated machines are finding it hard to tell the difference. More

Conference Session

ERM Poster Session

Collection

2009 Annual Conference & Exposition

Authors

Dan Budny, University of Pittsburgh; Laura Lund, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

students to take a course in fluid mechanics (CEE 1402) with and accompanying lab. This course teaches principles that prepare engineers to basic design fluid mechanic design, such pumping systems, pipe systems, open channel flow, etc. The project was to help in the development of laboratory experiments designed to improve student learning of basic fluids concepts. Project will involve design and construction of various experiments requiring the use of the machine shop.J) Freshman Engineering Program, University of Pittsburgh. The project was to Design & Develop an Online Interactive Scholarship Information WebsiteBased on the experiences and the modifications the students had with these projects and our newgoals, we found

Conference Session

Using Technology to Enhance Education

Collection

2009 Annual Conference & Exposition

Authors

Tershia Pinder-Grover, University of Michigan; Joanna Mirecki Millunchick, University of Michigan; Crisca Bierwert, University of Michigan; Lindsay Shuller, University of Michigan

Tagged Divisions

Educational Research and Methods

. Her current research interests include the effect of instructional technology on student learning and performance, effective teaching strategies for new graduate student instructors, and the impact of GSI mentoring programs on the mentors and mentees.Joanna Mirecki Millunchick, University of Michigan Joanna Millunchick is Associate Professor of Materials Science and Engineering, and is affiliated with the Applied Physics Program and the Michigan Center for Theoretical Physics at the University of Michigan. Prior to joining UM in 1997, Millunchick was a Postdoctoral Fellow at Sandia National Laboratories. She received her B.S. in Physics from DePaul University in 1990, and her Ph.D. in

Conference Session

Innovative Classroom Techniques

Collection

2006 Annual Conference & Exposition

Authors

Todd Johnson, Washington State University; Reid Miller, Washington State University

Tagged Divisions

Educational Research and Methods

ways.For the field of engineering education, there has not been an embracement in the use of onlineeducation. Following an extensive review of engineering online programs, Bourne, Harris, &Mayadas31-32 found that a large number of them were available for master’s level, but there werefew bachelor’s degrees. A reason often noted to not developing engineering courses online is thechallenge of replicating hands-on laboratories over the internet, even though a great deal ofmodule development has been done in this area31-32. For these same engineering educationresearchers, they recommend that field of engineering learn more about methods for blendedlearning (in-class and online), different pedagogies for teaching and learning in onlineengineering

Conference Session

Faculty Development

Collection

2017 ASEE Annual Conference & Exposition

Authors

Staffan Andersson, Uppsala University; Arnold Neville Pears, Uppsala University

Tagged Divisions

Educational Research and Methods

Professorsand Lecturers who have the responsibility for the majority of the teaching activities and forthe instructional design and pedagogy of the course. PhD students are typically workingas laboratory assistants and teaching assistants helping students with exercises designed bymore senior staff.Academic status and credibility is an important aspect of academic teaching, this is reflectedin differences in perception in relation to ITTF4. ITTF4: I feel that I should know the answers to any questions that students may put to me during this subjectBeing able to always answer questions (ITTF4) is ranked Professor, Lecturer (high) vsResearcher and PhD student (low) (χ2 (2, N=487) = 13.12, p < 0.05). We interpret thisresult to mean that

Conference Session

Motivation and Engagement

Collection

2017 ASEE Annual Conference & Exposition

Authors

Allyson Jo Barlow, Oregon State University; Nicole P. Pitterson, Oregon State University; Shane A. Brown P.E., Oregon State University; Kathleen Quardokus Fisher, Florida International University; Sean Lyle Gestson, Oregon State University; Denise Rutledge Simmons P.E., Virginia Polytechnic Institute and State University; Olusola Adesope, Washington State University

Tagged Divisions

Educational Research and Methods

. For this study, the case was the CSCE instrument with each facultymember serving as an individual unit of analysis. The courses taught by the faculty participantsranged from small (46 students) to large (over 200 students). The course structures were alsodifferent and included lectures, laboratories, workshops, and recitations (mandatory groupproblem solving sessions). In addition, the range of experience between faculty membersencompassed first time instructors to others with over five years of teaching at the same institution.Description of caseThe CSCE instrument consists of two major sections. Section one is split into two main categories,in-class and out-of-class activities. In category one, students are expected to answer

Conference Session

ERM Technical Session 5: Assessment

Collection

2019 ASEE Annual Conference & Exposition

Authors

Aaron W. Johnson, University of Michigan; Jessica E. S. Swenson, University of Michigan; Max William Blackburn, University of Michigan; Cynthia J. Finelli, University of Michigan

Tagged Divisions

Educational Research and Methods

explanations [9]. However, thefield of engineering has not yet established a clear idea of what “disciplinary engagement”means.Engineering at its core is about creating solutions to problems using mathematics, science, andcreativity through a design process. The engineering curriculum reflects this by containingdifferent types of courses that teach the mathematical models of natural phenomena (i.e.engineering science courses, or technical core courses), laboratory and experimental techniquesand processes (i.e. lab courses), and fundamentals of engineering design (i.e. design courses).These courses all ask students to engage disciplinarily in different ways, all in support of theoverall practice of engineering to create new solutions. Prior research

Conference Session

ERM Technical Session 7: Learning and Research in Makerspaces

Collection

2019 ASEE Annual Conference & Exposition

Authors

Colin Dixon, Concord Consortium; Lee Michael Martin, University of California, Davis

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Influence in Robotics Engineering Activity,” J. Learn. Sci., vol. 23, no. 4, 2014.[10] B. Latour and S. Woolgar, Laboratory life: The construction of scientific facts. Princeton, NJ: Princeton University Press, 1986.[11] J. L. Lemke, Talking Science: Language, Learning, and Values. Norwood, NJ: 1990, 1990.[12] J. Bransford, “Preparing People for Rapidly Changing Environments,” J. Eng. Educ., vol. January 20, pp. 1–3, 2007.[13] S. A. Kirch, “Identifying and resolving uncertainty as a mediated action in science: A comparative analysis of the cultural tools used by scientists and elementary science students at work,” Sci. Educ., vol. 94, pp. 308–335, 2010.[14] J. Roschelle, “Learning by collaboration: Convergent conceptual

Conference Session

ERM Technical Session 16: Faculty Development and Teaching Contexts

Collection

2019 ASEE Annual Conference & Exposition

Authors

Waddah Akili, Iowa State University

Tagged Divisions

Educational Research and Methods

, laboratory skills, data analysis and reduction skills, writing skills, presentation skills, etc.) should be willing to pass it on, and/ or share it with their group members;  Collaborative skills- Groups cannot function effectively if members do not have (be willing to learn) or use some needed social skills. Such as: leadership, decision-making, trust building, and conflict management;  Monitoring progress- Groups need to discuss amongst themselves whether they are achieving their set goals. They need also to prioritize the scheduled activities, introduce changes when needed, and solicit advice and assistance with the consent of the instructor.Success in implementing active learning, including

Conference Session

Maker Communities and Authentic Problem Solving

Collection

2018 ASEE Annual Conference & Exposition

Authors

Muhammad Pervej Jahan, Miami University; Shahnaz J. Aly, Western Kentucky University

Tagged Divisions

Educational Research and Methods

school and jobs. Lapatto [2] investigated the influence of research on the educationalexperience of undergraduates in science by conducting an online survey from 41 institutions. Itwas found that 85% of the participants continued on to postgraduate education after finishingtheir undergraduate research. On the other hand, a small portion of the participants who didn’tcontinue to postgraduate studies also reported comparatively poor gains from their undergraduateresearch experience. Learning laboratory techniques, understanding the research process andreadiness for more demanding research were some of the positive effects of undergraduateresearch experience mentioned in the survey. Webber et al. [3] conducted a survey research byanalyzing 110,000

Conference Session

Research Methods

Collection

2018 ASEE Annual Conference & Exposition

Authors

Catherine G.P. Berdanier, Pennsylvania State University, University Park; Natascha Trellinger Buswell, University of California, Irvine; Zixuan (Victoria) Zhao, Purdue University

Tagged Divisions

Educational Research and Methods

goggles or headgear). As a result, allactivities on the screen are also captured in addition to the screens solely devoted to the writingprocess: If a participant checks email, searches for literature, changes music, or instant messagesa friend, all those activities are also recorded. Though the resulting data is messy, we argue thatthe “messiness” is actually demonstrative of an authentic writing process, which does not happenin a laboratory setting. In real life, the “writing” process of experts might require significant timesearching for literature or checking manuscript/task requirements to comply with the evaluationcriteria. The video data recorded offers a wealth of data to analyze. In our past work, we providea literature-based commentary

Conference Session

Quantitative Research Methods

Collection

2017 ASEE Annual Conference & Exposition

Authors

Andrew Jackson, Purdue Polytechnic Institute; Nathan Mentzer, Purdue University, West Lafayette (College of Engineering)

Tagged Divisions

Educational Research and Methods

Engineering Education, 104(1), 74-100. doi: 10.1002/jee.2006612. Lin, C.-C., & Tsai, C.-C. (2009). The relationships between students' conceptions of learning engineering and their preferences for classroom and laboratory learning environments. Journal of Engineering Education, 98(2), 193-204. doi: 10.1002/j.2168-9830.2009.tb01017.x13. PÉRez, C. D., Elizondo, A. J., GarcÍA-Izquierdo, F. J., & Larrea, J. J. O. (2012). Supervision typology in computer science engineering capstone projects. Journal of Engineering Education, 101(4), 679-697. doi: 10.1002/j.2168-9830.2012.tb01124.x14. Kumsaikaew, P., Jackman, J., & Dark, V. J. (2006). Task relevant information in engineering problem solving. Journal of Engineering Education, 95

Conference Session

ERM Technical Session 3: Working in Teams

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ed LeRoy Michor, Oregon State University; Susan Bobbitt Nolen, University of Washington; Milo Koretsky, Oregon State University

Tagged Divisions

Educational Research and Methods

university-level physical chemistry class,” Chem Educ Res Pr., vol. 14, no. 1, pp. 81–94, 2013.[21] M. J. Ford and E. A. Forman, “Redefining Disciplinary Learning in Classroom Contexts,” Rev. Res. Educ., vol. 30, no. 1, pp. 1–32, Jan. 2006.[22] M. D. Koretsky, E. Nefcy, S. B. Nolen, and A. B. Champagne, " Affordances of computer and physical laboratory-based design projects for engaging student teams in engineering practice," Cogn Instr, 2009.[23] K. A. Smith, “Cooperative learning: effective teamwork for engineering classrooms,” in Proceedings Frontiers in Education 1995 25th Annual Conference. Engineering Education for the 21st Century, 1995, vol. 1, pp. 2b5.13-2b5.18 vol.1.[24] D. L. Schwartz, C. C. Chase, and J. D

Conference Session

ERM Technical Session 3: Working in Teams

Collection

2019 ASEE Annual Conference & Exposition

Authors

Saira Anwar, Purdue University, West Lafayette; Muhsin Menekse, Purdue University, West Lafayette; Asefeh Kardgar, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

Engineering, Proceedings of the International Conference, 2010, vol. 30, p. 305.[39] H. S. Tan, “Learning and motivational aspects of using interactive digital media (IDM),” Motiv. Pract. Classr., pp. 315–340, 2008.[40] M. Menekse, R. Higashi, C. D. Schunn, and E. Baehr, “The role of robotics teams’ collaboration quality on team performance in a robotics tournament,” J. Eng. Educ., vol. 106, no. 4, pp. 564–584, 2017.[41] J. B. Weinberg, W. W. White, C. Karacal, G. Engel, and A.-P. Hu, “Multidisciplinary teamwork in a robotics course,” in ACM SIGCSE Bulletin, 2005, vol. 37, no. 1, pp. 446– 450.[42] B. Balamuralithara and P. C. Woods, “Virtual laboratories in engineering education: The simulation lab and

Conference Session

Works in Progress: Facilitating Student Success and Inclusion

Collection

2016 ASEE Annual Conference & Exposition

Authors

Saryn R. Goldberg, Hofstra University; Jennifer Rich, Hofstra University; Amy Masnick, Hofstra University; Marie C. Paretti, Virginia Tech; Cassandra J McCall, Virginia Tech; Benjamin David Lutz, Virginia Tech; Lisa D. McNair, Virginia Tech

Tagged Divisions

Educational Research and Methods

, S. Crosby, B. Flugman, S. Issac, H. Everson, and D. B. Clay, "Using formative assessment and metacognition to improve student achievement," Journal of Developmental Education, vol. 37, p. 2, 2013.7 J. Emig, "Writing as a Mode of Learning," College Composition and Communication, vol. 28, pp. 122-128, May 1977.8 J. M. Ackerman, "Reading, Writing, and Knowing: The Role of Disciplinary Knowledge in Comprehension and Composing," Research in the Teaching of English, vol. 25, pp. 133-178, May 1991.9 J. L. Auerbach, C. M. Bourgeois, and T. R. Collins, "Do Students Benefit? Writing-to- Learn in a Digital Design Laboratory Course," Proceedings - Frontiers in Education Conference, vol. 1, pp. T1F-20

Conference Session

Classroom Practice III: Student-Centered Instruction

Collection

2016 ASEE Annual Conference & Exposition

Authors

Hayden Fennell, Purdue University Polytechnic Institute; Camilo Vieira, Purdue University; Genisson Silva Coutinho, Instituto Federal de Educação, Ciência e Tecnologia da Bahia; Alejandra J. Magana, Purdue University, West Lafayette; R. Edwin García, Purdue University, West Lafayette

Tagged Divisions

Educational Research and Methods

of Engineering Education Annual Conference. Pittsburgh, PA. (2008).6 Chi, M. T. H., Feltovich, J. & Glaser, R. Categorization and representation of physics problems by experts and novices. . Cognitive Science 5, 121-152 (1983).7 Kozma, R. B., Chin, E., Russell, J. & Marx, N. The roles of representations and tools in the chemistry laboratory and their implications for chemistry learning. Journal of the Learning Sciences, 105-143 (2000).8 Kozma, R. B. in Innovations in science and mathematics education: Advanced designs for technologies of learning (eds R. Jacobson & R.B. Kozma) 11-46 (Erlbaum, 2000).9 Roth, W. M. Toward an anthropology of graphing: Semiotic and activity-theoretic perspectives. (Kluwer

Conference Session

Student Success I: Interventions and Programs

Collection

2016 ASEE Annual Conference & Exposition

Authors

Joanna Perry Weaver, University of Louisville; Marci S. Decaro, University of Louisville; Jeffrey Lloyd Hieb, University of Louisville; Patricia A. Ralston, University of Louisville

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

teacher (7-12) and taught in public schools and museums from 2003-2013.Dr. Marci S. DeCaro, University of Louisville Marci DeCaro is an assistant professor in the Department of Psychological and Brain Sciences at the University of Louisville. Her research focuses on the role of cognitive factors such as working memory in learning and performance situations. She studies these topics with adults and children in laboratory and educational contexts.Dr. Jeffrey Lloyd Hieb, University of Louisville Jeffrey L. Hieb is an Associate Professor in the Department of Engineering Fundamentals at the Univer- sity of Louisville. He graduated from Furman University in 1992 with degrees in Computer Science and Philosophy

Conference Session

Examining "Big" Data

Collection

2015 ASEE Annual Conference & Exposition

Authors

Issam Wajih Damaj, American University of Kuwait; Ashley Ater Kranov, Washington State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Conference Session

Concepts and Conceptual Knowledge

Collection

2015 ASEE Annual Conference & Exposition

Authors

Julie Direnga, Hamburg University of Technology; Bradley Presentati, Hamburg University of Technology; Dion Timmermann, Hamburg University of Technology; Andrea Brose, Hamburg University of Technology; Christian H Kautz, Hamburg University of Technology

Tagged Divisions

Educational Research and Methods

various disciplines, with an additional focus on basic science knowl-edge in the medical domain. The three study types consist of so-called (1) laboratory studieswith short RIs of only a few hours or days, (2) classroom studies (like ours) with RIs of a fewyears, and (3) naturalistic studies with RIs spanning tens of years. In many naturalistic studies theknowledge is measured at the end of the RI. Knowledge at the beginning of the RI can only bereconstructed by e. g. counting the cumber of courses taken on the subject and respective gradesachieved. Across all study types and disciplines, many of the results were adequately describedby the Ebbinghaus forgetting curve. 3 This curve models retention over time as a fast decay atthe beginning

Conference Session

Measurement and Instrumentation

Collection

2015 ASEE Annual Conference & Exposition

Authors

Adam Kirn, University of Nevada, Reno; Lisa Benson, Clemson University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

, perceptions of the present (perceived instrumentality), and the interconnections between future goals and present actions. The results of this work indicated three unique student profiles based on their FTPs and have been described previously.18 For the quantitative portion of this work, engineering students at a western land grant institution in fall of 2014 who were enrolled in a first year engineering course required of all engineering majors (except computer science and engineering) were invited to participate (n=682). Students completed the optional survey (n=360, 52.8% response rate) during the first week of class in laboratory sessions of the course. Instrument Motivation was assessed using the Motivations and Attitudes in Engineering that had

Conference Session

Diffusion and Adoption of Teaching Practices

Collection

2015 ASEE Annual Conference & Exposition

Authors

Kari L. Jordan, Embry-Riddle Aeronautical Univ., Daytona Beach; James J. Pembridge, Embry-Riddle Aeronautical Univ., Daytona Beach; Sarah Anne Blackowski; Heidi M Steinhauer, Embry-Riddle Aeronautical Univ., Daytona Beach; Timothy A Wilson, Embry-Riddle Aeronautical Univ., Daytona Beach; Douglas Holton, Embry-Riddle Aeronautical Univ., Daytona Beach

Tagged Divisions

Educational Research and Methods

perspective, Unstructured-Organizational. Cultural norms and past learningexperiences are also present in this quadrant as they are typically learned over a duration of timeas a result of being a member of a broader social interaction and therefore develop knowledgefrom the culture. When asked about some practices and how they learned about it, severalparticipants noted that they either saw them in their own educational experiences or somethingthat they had done in their own practice and did not recognize it as an EBIP until they saw it in amore organized setting such as a conference session, conference paper, or journal article. "I mean my previous institution, they were already employing active learning in hands-on laboratories. I did a

Conference Session

Examining Social Ties and Networks

Collection

2015 ASEE Annual Conference & Exposition

Authors

Peter A Simon, Carnegie Mellon University; Susan Finger, Carnegie Mellon University; David Krackhardt, Carnegie Mellon University; Daniel P. Siewiorek, Carnegie Mellon University; Asim Smailagic, Carnegie Mellon University

Tagged Divisions

Educational Research and Methods

Engineering Research Center and previously served as Department Head of the Human Computer Interaction Institute. He has been the recipient of the AAEE Terman Award, the IEEE/ACM Eckert-Mauchly Award, and the ACM SIGMOBILE Outstanding Contributions Award. He is a Fellow of IEEE, ACM, and AAAS and is a member of the National Academy of Engineering.Dr. Asim Smailagic, Carnegie Mellon University Professor Asim Smailagic is a Research Professor in the Institute for Complex Engineered Systems and Department of Electrical and Computer Engineering at CMU. He is also the Leader of Research Thrust on Virtual Coaches at the Quality of Life Technology Center, an NSF ERC, and Director of the Laboratory for Interactive Computer

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

Administration from Harvard University. One of his major research interests has been the impact of gender on science careers. This research has resulted in two books (both authored with the assistance of Gerald Holton): Who Succeeds in Science? The Gender Dimension and Gender Differences in Science Careers: The Project Access Study.Dr. Philip Michael Sadler, Harvard Smithsonian Center for Astrophysics Philip Sadler holds a B.S. in Physics from MIT and an Ed.D. from Harvard. He co-authored the first integrated computer and laboratory introductory calculus course in 1975. He has taught middle school mathematics, engineering, and science and both undergraduate science and graduate teaching courses at Harvard. His research

Conference Session

Measurement and Instrumentation

Collection

2015 ASEE Annual Conference & Exposition

Authors

Claudia Elena Vergara, Michigan State University; Michael Cavanaugh, Michigan State University; Subashini Nagendran Sivakumar, Michigan State University; Daina Briedis, Michigan State University; Thomas David Dionise, Michigan State University; Abdol-Hossein Esfahanian, Michigan State University; Jon Sticklen, Michigan Technological University; Mark Urban-Lurain, Michigan State University

Tagged Divisions

Educational Research and Methods

90s, Dr. Sticklen founded and led a computer science laboratory in Page 26.1589.1 knowledge-based systems in the College of Engineering, Michigan State University that focused on task specific approaches to problem solving, better known as expert systems. Over the last fifteen years, Dr. Sticklen has pursued engineering education research focused on early engineering with an emphasis on hybrid course design and problem-based learning. Dr. Sticklen assumed the chairperson of Engineering c American Society for Engineering Education, 2015

Conference Session

Student Approaches to Problem Solving: ERM Roundtable

Collection

2015 ASEE Annual Conference & Exposition

Authors

Benjamin James Call, Utah State University; Wade H. Goodridge, Utah State University; Christopher Green, Utah State University

Tagged Divisions

Educational Research and Methods

aboveaverage. Below Average Average Above Average 24-45% 46-70% 71-85% Spring Study 5 3 3 Fall Study 2 2 3 Total % 38.9% 27.8% 33.3%Table 1. Performance Groupings within the Study Problem SetData CollectionData was collected in a laboratory setting. To facilitate this study, students were video-recordedas they took part in the study. Selected participants also participated in video-recorded open-ended post-interviews at the conclusion of the study. During the first semester of the study,participants were asked to solve a number of Statics problems

Conference Session

Classroom Practice I: Active and Collaborative Learning

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Educational Research and Methods

STEMinstruction, theories and instruments are not particularly well-developed to support claims aboutthe types of instruction (traditional, group active and individual active) we studied and howrepresentative they are of engineering instruction nationally. Similarly, the sample is not largeenough to understand the effects of varying instructor rank/experience level and other coursecharacteristics including laboratory and recitation sections. Nonetheless, we reported results forthree different courses and explored alternative explanations which lay the foundation for futurework. The StRIP Survey is still in iterative development to refine factors to describe instructorstrategies, student participation and other outcomes. Here, we analyzed and

Conference Session

Applied Frameworks

Collection

2017 ASEE Annual Conference & Exposition

Authors

Darren K. Maczka, Virginia Tech; Jacob R. Grohs, Virginia Tech

Tagged Divisions

Educational Research and Methods

-goals(e.g. add a feature) and engage in multiple sub-problems (e.g. debugging, feature testing). Bytaking a discourse perspective, we can view the relationship between subject and problem as anegotiation between multiple sub-problems, each which may take the focus of the participant atdifferent times, e.g. while implementing a new feature, the participant may notice a bug andengage in a debugging process before returning back to feature implementation.Example caseIn this section we describe an ongoing study that is utilizing these methods. While this study isconducted in a laboratory setting which restricted participants’ range of options, it provides aconvenient example of how the theoretical framework of sociomateriality might be combinedwith

Conference Session

Motivation, Attitudes, and Beliefs

Collection

2018 ASEE Annual Conference & Exposition

Authors

Andrew Jackson, Purdue Polytechnic Institute; Nathan Mentzer, Purdue Polytechnic Institute; Rebecca Kramer-Bottiglio, Yale University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

. Carrico and C. Tendhar, "The use of the social cognitive career theory to predict engineering students’ motivation in the produced program," in 2012 ASEE Annual Conference & Exposition, San Antonio, TX, 2012.[18] H. Wickham and G. Grolemund. (2017). R for data science : Import, tidy, transform, visualize, and model data. Available: http://r4ds.had.co.nz/[19] A. Jackson, N. Mentzer, R. Kramer, and J. Zhang, "Maker: Taking soft robotics from the laboratory to the classroom," in Make It! Event during the 2017 ASEE Annual Conference & Exposition, Columbus, OH, 2017.[20] A. Jackson, J. Zhang, R. Kramer, and N. Mentzer, "Design-based research and soft robotics to broaden the STEM pipeline (work in

Conference Session

Faculty and Student Perspective on Instructional Strategies

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Roxana Maria Carbonell, University of Texas at Austin; Audrey Boklage, University of Texas at Austin; Patricia Clayton, University of Texas at Austin; Maura J. Borrego, University of Texas at Austin

Tagged Divisions

Educational Research and Methods

Schumpeter Laboratory for Innovation. Paper presented at the International Symposium on Academic Makerspaces, New Haven, CT.

Conference Session

Engineering Education Research Practices and Community

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Samantha N. Cruz, Arizona State University; Jeremi S. London, Virginia Polytechnic Institute and State University; Taylor Lightner, Virginia Polytechnic Institute and State University

Tagged Divisions

Educational Research and Methods

intervention: An application of diffusion of innovation theory. Journal of Autism and Developmental Disorders, 41(5), 597–609. https://doi.org/10.1007/s10803-010-1081-0Elrod, S., & Kezar, A. (2017). Increasing student success in STEM: Summary of a guide to systemic institutional change. Change: The Magazine of Higher Learning, 49(4), 26-34.Fiske, T., & Earle-Richardson, G. (2013). Farm safety research to practice: The long road from the laboratory to the farm. Journal of Agromedicine, 18(1), 11–17. https://doi.org/10.1080/1059924X.2012.743381Flaspohler, P., Duffy, J., Wandersman, A., Stillman, L., & Maras, M. A. (2008). Unpacking prevention capacity: An intersection of research-to-practice models and community