Conference Session

Curricular Transformation

Collection

2018 ASEE Annual Conference & Exposition

Authors

Shawn Griffiths, University of Wyoming; Janel Seeley

Tagged Divisions

Educational Research and Methods

; a review ofTable 1. Schedule for class and laboratory. Week Class Lecture/Lab Section 1 1 1 Syllabus, Review of Mechanics 2 2 Circuits / Ohms law 3 Data acquisition / Signals and sampling 3 4 Planning a Monitoring program / Uncertainty / Accuracy 5 Strain Sensors / Vibrating wire gages 4 6 Foil Gages, theory and installation Section 2 7 Foil Gages, selection and voltage 5 8 Fiber optics / Load cells 9 Piezometers / Linear deformation

Conference Session

Works in Progress I

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ivan Detchev, University of Calgary; Elena V. Rangelova, University of Calgary; Scott C. Packer, University of Calgary ; Quazi K. Hassan, University of Calgary; Kyle O'Keefe P.Eng., University of Calgary

Tagged Divisions

Educational Research and Methods

the University of Calgary and leads the Earth Observation for Environmental Laboratory. His research interests include: (i) application of remote sensing in forecasting and monitoring of natural hazards/disasters, (ii) use of re- mote sensing and GIS techniques in understanding the dynamics of natural resources, and (iii) integration of remote sensing, GIS, and modelling techniques in addressing issues related to energy, environment, climate change, local/global warming and smart city. In addition, he is a passionate ’open educational resources’ developer; and serving the editorial board of two open access journals known as Scientific Reports (Nature Publication Group) and Remote Sensing (MDPI).Dr. Kyle O’Keefe

Conference Session

System 1 in Engineering Education and Research

Collection

2018 ASEE Annual Conference & Exposition

Authors

S. Zahra Atiq, Purdue University, West Lafayette (College of Engineering)

Tagged Divisions

Educational Research and Methods

performance during a laboratory exam activity,” JoVE J. Vis. Exp., no. 108, pp. e53255–e53255, Feb. 2016.[9] S. Afzal and P. Robinson, “Emotion data collection and its implications for affective computing,” in The Oxford Handbook of Affective Computing, R. A. Calvo, S. K. D’Mello, J. Gratch, and A. Kappas, Eds. New York: Oxford University Press, 2015, pp. 359 – 370.[10] E. A. Linnenbrink, “Emotion research in education: theoretical and methodological perspectives on the integration of affect, motivation, and cognition,” Educ. Psychol. Rev., vol. 18, no. 4, pp. 307–314, Dec. 2006.[11] S. Schukajlow, K. Rakoczy, and R. Pekrun, “Emotions and motivation in mathematics education: theoretical considerations

Conference Session

Problem Solving, Adaptive Expertise, and Social Engagement

Collection

2018 ASEE Annual Conference & Exposition

Authors

Oenardi Lawanto, Utah State University; Angela Minichiello P.E., Utah State University; Jacek Uziak, University of Botswana; Andreas Febrian, Utah State University

Tagged Divisions

Educational Research and Methods

: are they related?,” in American Society for Engineering Education Annual Conference, 2009.[20] T. A. Ward, “Common elements of capstone projects in the world’s top-ranked engineering universities,” Eur. J. Eng. Educ., vol. 38, no. 2, pp. 211–218, 2013.[21] B. J. Zimmerman, “Attaining Self-Regulation: A Social Cognitive Perspective,” in Handbook of Self-Regulation, M. Boekaerts, P. R. Pintrich, and M. . Zeidner, Eds. San Diego, CA, USA: Academic Press, pp. 13–39.[22] P. Rivera-Reyes, O. Lawanto, and M. L. Pate, “Students’ Task Interpretation and Conceptual Understanding in an Electronics Laboratory,” IEEE Trans. Educ., vol. 60, no. 4, pp. 265–272, Nov. 2017.[23] P. Rivera-Reyes, “Students’ Task Interpretation and

Conference Session

Maker Communities and Authentic Problem Solving

Collection

2018 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Educational Research and Methods

people had little interaction with computers at the time [14]. Throughout theeighties and nineties, he continued to explore ways for learners to use computers as “objects tothink with” [20, p. 23] and cofounded the MIT Media Lab, an interdisciplinary research centerwhose members developed and popularized much of the technology that is currently associatedwith Maker Education, from Makey Makey microcontrollers to the kid-friendly, visualprogramming language of Scratch [21].Another off-shoot of the MIT Media Lab was the Center for Bits and Atoms, a group thatemerged out of Neil Gershenfeld’s popular class “How to Make (Almost) Anything” and that ledto the creation of the first Fabrication Laboratories or “Fab Labs”, high-tech workshop spacesthat

Conference Session

Curricular Transformation

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nicholas D. Fila, Iowa State University; Seda McKIlligan, Iowa State University; Steven Joseph Abramsky, Iowa State University

Tagged Divisions

Educational Research and Methods

instructional designers through retrospectiveinterviews. Kirschner and colleagues27 compared university and business instructional designersthrough a Delphi-like study (using Visscher-Voerman’s 16 principles) and a short team designtask. In another study, Perez and colleagues28 compared expert and novice instructional designprocesses using a think-aloud protocol in laboratory setting. Although these studies do not reporton their findings as heuristics, they all rely on data collected from expert practices anddemonstrate several similarities, including an emphasis on learner and context analysis, theapplication of proven techniques, and problem framing. However, these studies also showimportant differences between contexts (e.g., university and business

Conference Session

Practice II: Curricular Innovations

Collection

2018 ASEE Annual Conference & Exposition

Authors

Monica H. Lamm, Iowa State University; Shuting Yan, Iowa State University ; Clark R. Coffman; Carly L. Manz, Iowa State University; Robert D Reason, Iowa State University

Tagged Divisions

Educational Research and Methods

in an Engineering ClassroomIntroductionThis research paper describes a study that examines a testing effect intervention deployed in anengineering classroom setting. The testing effect is based on the premise that learning isimproved when students engage with newly acquired information by challenging themselves toanswer questions about the content instead of using other means of interacting with the content,such as rereading a text. The testing effect has been established in laboratory research studies[1]. To translate this finding into educational practice, classroom research studies [2]-[6] aim todefine the conditions for which the testing effect remains robust in authentic classroom settings.In the classroom domain, a testing effect

Conference Session

Active Learning Methods in Action

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sourajeet Roy, Colorado State University; Branislav M. Notaros, Colorado State University; Ali Pezeshki, Colorado State University; Tom Chen, Colorado State University; Thomas J. Siller, Colorado State University; Anthony A. Maciejewski, Colorado State University; Laura B. Sample McMeeking, Colorado State University

Tagged Divisions

Educational Research and Methods

MANUFACTURING TECHNOLOGY.Prof. Branislav M. Notaros, Colorado State University Branislav M. Notaros is Professor in the Department of Electrical and Computer Engineering at Colorado State University, where he also is Director of Electromagnetics Laboratory. He received a Ph.D. in elec- trical engineering from the University of Belgrade, Yugoslavia, in 1995. His research publications in computational and applied electromagnetics include more than 150 journal and conference papers. He is the author of textbooks Electromagnetics (2010) and MATLAB-Based Electromagnetics (2013), both with Pearson Prentice Hall. Prof. Notaros served as General Chair of FEM2012, Colorado, USA, and as Guest Editor of the Special Issue on Finite

Conference Session

Practice I: Academic Success

Collection

2018 ASEE Annual Conference & Exposition

Authors

Markeya S. Peteranetz, University of Nebraska, Lincoln; Duane F. Shell, University of Nebraska, Lincoln; Leen-Kiat Soh, University of Nebraska, Lincoln; Elizabeth Ingraham, University of Nebraska, Lincoln; Abraham Flanigan

Tagged Divisions

Educational Research and Methods

semester. The instructors of the two sectionscoordinated and synchronized their lecture topics, shared their lecture notes throughout thesemester, and met weekly—with their shared teaching assistants—to discuss issues related tostudent learning and course activities. Additionally, the two sections shared laboratory sections 3and used the same graded assignments and tests. Results of this study again showed that studentsin classes with CCEs score higher on the CS knowledge test than students in non-CCE classes,further supporting the hypothesis that CCEs contribute to learning core CS concepts.Recent Findings The most recent extension of our project is the investigation of the impact of CCEs

Conference Session

Works in Progress I

Collection

2018 ASEE Annual Conference & Exposition

Authors

Dong San Choi, University of Illinois, Urbana-Champaign; Michael C. Loui, Purdue University, West Lafayette (College of Engineering)

Tagged Divisions

Educational Research and Methods

-regulated learning, self-efficacy,and general well-being [5]. In our study, we explored whether we could help students persist inengineering by encouraging such positive learning dispositions and behaviors.In this work-in-progress paper, we report preliminary results from a one-credit course called“Engineering the Mind.” We used design-based research and the Transtheoretical Model (TTM)of Health Behavior Change to design the course and assess the outcomes. The goal of the coursewas to encourage students to adopt positive learning dispositions and behaviors by teaching themhow the brain works.BackgroundDesign-based research (DBR) is a research method that evaluates theory-based interventions(that were developed in laboratory conditions) in complex

Conference Session

Active Learning Methods in Action

Collection

2018 ASEE Annual Conference & Exposition

Authors

Megan Sanders, Colorado School of Mines; Sam Spiegel, Colorado School of Mines; Jennifer Zoltners Sherer, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

Curriculum Study (BSCS). Dr. Spiegel also served as Director of Research & Development for a multimedia development company and as founding Director of the Center for Integrating Research & Learning (CIRL) at the National High Magnetic Field Laboratory, Florida State University. Under Dr. Spiegel’s leadership, the CIRL matured into a thriving Center recognized as one of the leading National Science Foundation Laboratories for activities to pro- mote science, mathematics, and technology (STEM) education. While at Florida State University, Dr. Spiegel also directed an award winning teacher enhancement program for middle grades science teachers, entitled Science For Early Adolescence Teachers (Science FEAT). His

Conference Session

Practice I: Academic Success

Collection

2018 ASEE Annual Conference & Exposition

Authors

Pradeep Kashinath Waychal, Western Michigan University; Charles Henderson, Western Michigan University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

students. Martin et al.19 alsoemphasize the need for improving parental education regarding the processes for universityadmission, financial aid, expected engineering course load, and long-term benefits of earning anengineering degree. They specifically suggest considering language barriers while designingparents’ events.Transition The transition solutions focused on 1) making curricular changes and 2) developingsocial capital in community colleges for engineering. Hoit and Ohland showed, with statistically-significant evidence, that presenting the realengineering content, in the first-year itself, helps retain women students14. They introduced theintroduction to engineering course in a laboratory format, where they employed active

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

admitted (e.g., low STEM gender stereotypes), find more successas students and as professionals [22].In response to these findings, interventions developed to challenge students’ stereotypes ofSTEM professionals – with a goal of strengthening interest and buffering against attrition – arebecoming more frequent. Some have focused on the type of people who are interested andsuccessful in STEM: since biased representations of STEM professionals generally portray themas white and male, educators have attempted to change these portrayals by spotlighting thediversity that already exists in the field [23], [24]. Other stereotypes pigeonhole STEM careers asthose that focus excessively on laboratory work and mechanical tinkering, overlooking both thesocial

Conference Session

Institutional Change

Collection

2018 ASEE Annual Conference & Exposition

Authors

Shannon Massie Chance, Dublin Institute of Technology ; Gavin Duffy, Dublin Institute of Technology

Tagged Divisions

Educational Research and Methods

ofEngineering (level 8), Masters (level 9) and finally, PhD (level 10). As a result, the school has avery broad student demographic. Many students who cannot gain direct entry to a universityprogram join this technical institute at a lower point on the ladder, work their way up, andeventually sit beside those who entered directly from high school.Academic staff members are employed to teach and typically have 18 hours of classroom activityper week. Although research is encouraged, and the School has several highly regarded researchgroups, the majority of staff members devote most of their time to teaching—both in the classroomand the laboratory. Laboratory groups of 16 students per staff member facilitate close contact andallow staff and students to

Conference Session

Mentoring Practices and Project Teams

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ying Cao, Oregon State University; Christina Smith, Brown University; Benjamin David Lutz, Oregon State University; Milo Koretsky, Oregon State University

Tagged Divisions

Educational Research and Methods

up in the AIChE Concept Warehouse [8]. Each week, LAs received a promptasking them to read a short article about learning and pedagogy and relate that to their teachingexperiences through a 250-word written reflection.For recruitment of faculty to include LAs in their course instructional team, we targeted large-enrollment classes (over 100 students), but did not exclude other courses with enthusiasticinstructors. We specifically targeted introductory courses that had a history of hiringundergraduate students to facilitate laboratories and recitations. The LA Program added thepedagogy elements (both the workshop and the online reflection) and, in some cases, shifted tomore structured, regular meetings with the instructional team; thus, we

Conference Session

Active Learning Methods in Action

Collection

2018 ASEE Annual Conference & Exposition

Authors

Priya A. Manohar, Robert Morris University; Sushil Acharya, Robert Morris University; Peter Y. Wu, Robert Morris University; Mary A. Hansen, Robert Morris University

Tagged Divisions

Educational Research and Methods

impact of engineering solutions in a global and societal context i. Recognition of the need for and an ability to VII engage in life-long learning. j. A knowledge of contemporary issues V & VI k. An ability to use the techniques, skills, and VI & VII modern engineering tools necessary for engineering practiceTaxa I—Pre-knowledge Conceptual Experiences: hands-on laboratory experiences viademonstrations, physical models, practical applications to demonstrate, visualize and observebasic concepts.Taxa II—Basic Conceptual Knowledge: learning, understanding, memorizing basic engineeringconcepts, definitions, terms, symbols, theories

Conference Session

Institutional Change

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sam Spiegel, Colorado School of Mines; Megan Sanders, Colorado School of Mines; Jennifer Zoltners Sherer, University of Pittsburgh

Tagged Divisions

Educational Research and Methods

served as Director of Research & Development for a multimedia development company and as founding Director of the Center for Integrating Research & Learning (CIRL) at the National High Magnetic Field Laboratory, Florida State University. Under Dr. Spiegel’s leadership, the CIRL matured into a thriving Center recognized as one of the leading National Science Foundation Laboratories for activities to pro- mote science, mathematics, and technology (STEM) education. While at Florida State University, Dr. Spiegel also directed an award winning teacher enhancement program for middle grades science teachers, entitled Science For Early Adolescence Teachers (Science FEAT). His extensive background in science education

Conference Session

Social Dialogue on Diversity and Inclusion

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nelson S. Pearson, University of Nevada, Reno; Justin Charles Major, Purdue University, West Lafayette (College of Engineering); Allison Godwin, Purdue University, West Lafayette (College of Engineering); Adam Kirn, University of Nevada, Reno

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

investigated uses a semester long team-based designproject to introduce students to the engineering design process. Course enrollment representsapproximately 80% of all incoming first-year engineering students (total enrollment = 660; 525identified as first-year students). Other students in the course include upper level students thattook the course out of sequence from the traditional plan of study. Due to the volume of students,the course offered two large auditorium style lecture sections and multiple (32) smallerlaboratory sections. Each week students would meet in their smaller laboratory classes,maximum of 32 students. Additionally, students were required to attend one of the two largerlectures (~350 students per lecture), each week.Students

Conference Session

Maker Communities and Authentic Problem Solving

Collection

2018 ASEE Annual Conference & Exposition

Authors

Robert Matthew DeMonbrun, University of Michigan; Cynthia J. Finelli, University of Michigan

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

. While these courses differ bydiscipline, all are similar in that they are lecture sections of the course (i.e., no laboratory ordiscussion sections), they are one of the first courses taken in the disciplinary sequence (i.e., asophomore-level gateway course), they typically enroll only students of sophomore status (afterstudents have declared their major), and they enroll a large number of students. Each section hadenrollments of between 73 and 148 students, with an average enrollment of 108 students. Thetotal population sampled was 539 students. No students were enrolled in more than one courseduring the survey administration. I employed a series of two student surveys, which were based on the Student Response toInstructional Practices

Conference Session

Assessment and Research Tools

Collection

2018 ASEE Annual Conference & Exposition

Authors

Carey Whitehair; Catherine G.P. Berdanier, Pennsylvania State University, University Park

Tagged Divisions

Educational Research and Methods

4,5,15,16.In engineering in particular, graduate education is highly understudied, and relies heavily onoutside disciplines to study graduate attrition. While it is likely that theories of socialization stillhold, and can be interpreted across disciplines, there are contextual differences in disciplinaryacademic culture that do not align well9,12,17. For example, reliable funding is one of the primarycauses for attrition in the humanities, although, as Crede and Borrego 18 note, this reasoning doesnot typically apply to graduate engineering students, who are upwards of 80% fully funded.Advisor relationships do still play a strong role in the attrition process, as does the laboratoryculture, since a student’s laboratory is like a family and plays

Conference Session

Works in Progress II

Collection

2018 ASEE Annual Conference & Exposition

Authors

Cristián Eduardo Vargas Ordóñez, Universidad de los Andes; Mariana Tafur-Arciniegas P.E., Universidad de los Andes

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

Paper ID #22535WIP: Exploration of Conceptions and Attitudes of Colombian and AmericanChemical Engineers about Chemical Engineering o˜Ing. Cristi´ n Eduardo Vargas Ord´ nez, Universidad de los Andes a Colombian chemical engineer with experience in industry, laboratories and educational programs. Cur- rently, I’m candidate of master in Sciencie, Technology and Society and studying a master in Education (STEM). My academical preferences are related with engineering education and education of socially responsible engineers.Dr. Mariana Tafur-Arciniegas, Universidad de los Andes Mariana

Conference Session

Curricular Transformation

Collection

2018 ASEE Annual Conference & Exposition

Authors

Janet Y. Tsai, University of Colorado, Boulder; Kevin O'Connor, University of Colorado, Boulder; Beth A. Myers, University of Colorado Boulder; Jacquelyn F. Sullivan, University of Colorado, Boulder; Derek T. Reamon, University of Colorado, Boulder; Kenneth M. Anderson, University of Colorado Boulder

Tagged Divisions

Educational Research and Methods

coursemodel traverses from one location in time and space to another.Background: Replication vs. Mutation of the Wright State Model for EngineeringMathematics EducationThe Wright State Model (WSM) is a semester-long math course that teaches fundamentalconcepts of Calculus 1, 2, 3, and Differential Equations in an engineering context through hands-on laboratory experiences and application-rich problems. The WSM is designed to disrupt thetraditional rigid sequencing of undergraduate engineering curricula by decoupling mathematicsprerequisites from engineering coursework—introducing undergraduates to sufficientmathematical tools in the one-semester course to enable them to get started and make progress intechnical engineering coursework, regardless of

Conference Session

Institutional Change

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ashish Agrawal, Virginia Tech; Cassandra J. Groen, Virginia Tech; Amy L. Hermundstad Nave, Virginia Tech; Lisa D. McNair, Virginia Tech; Thomas Martin, Virginia Tech; Marie C. Paretti, Virginia Tech

Tagged Divisions

Educational Research and Methods

engaging incritical thinking and metacognition.Perceived teaching approaches. The second theme describes how students perceive facultyteaching approaches within their departments, again with two emergent dimensions: traditionalversus contemporary and prescribed versus open-ended. The traditional versus contemporarydimension focuses on the pedagogical practices used in non-laboratory and laboratory courses.Traditional approaches are those considered prototypical of engineering. For example, studentsdescribing traditional approaches talk about classes dominated by lectures in which students arerequired to take notes or read PowerPoint ® slides, and course assessments consist mostly ofindividual assignments and quizzes. Similarly, students in

Conference Session

Motivation, Attitudes, and Beliefs

Collection

2018 ASEE Annual Conference & Exposition

Authors

Allison Adams, Kansas State University; Amy Rachel Betz, Kansas State University; Emily Dringenberg, Ohio State University

Tagged Divisions

Educational Research and Methods

Paper ID #22427Validation of an Interview Protocol to Explore Students’ Beliefs about Intel-ligenceAllison Adams, Kansas State University Allison Adams is a graduate student at Kansas State University, in the Mechanical Engineering program.Dr. Amy Rachel Betz, Kansas State University Dr. Amy Betz is an Assistant Professor and the director of the Multiphase Microfluidics Laboratory at Kansas State University. She received her PhD from Columbia University and her Bachelor of Science in Mechanical Engineering from the George Washington University. Her research aims to acquire new fundamental understanding of phase-change

Conference Session

Design Thinking and Creativity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kevin Calabro, University of Maryland, College Park

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

 of improving students’ development along one or more of the patterns.  Additionally, we believe CSR is a particularly appropriate method for this study because the method permits teaching practices to be studied in the context of a real classroom.  The classroom setting within our case study contrasts the laboratory setting used by a large number of studies that have informed the development of the matrix (e.g., [6]­[9]).  The controlled conditions of these research studies do not accurately reflect engineering practice which often requires engineers to work on teams over long durations to solve complex problems. Additionally, the clinical setting does not reflect an educational setting in which a teacher is available to help guide and

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

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

Design Thinking and Creativity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Catherine T. Amelink, Virginia Tech; Kirsten A. Davis, Virginia Tech; Barbara G. Ryder, Virginia Tech; Margaret O'Neil Ellis, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

as Head of the Department of Computer Science at Virginia Tech, and retired on September 1, 2016. Dr. Ryder served on the faculty of Rutgers from 1982-2008. She also worked in the 1970s at AT&T Bell Laboratories in Murray Hill, NJ. Dr. Ryder’s research interests on static/dynamic program analyses for object-oriented and dynamic programming languages and systems, focus on usage in practical software tools for ensuring the quality and security of industrial-strength applications. Dr. Ryder became a Fellow of the ACM in 1998, and received the ACM SIGSOFT Influential Educa- tor Award (2015), the Virginia AAUW Woman of Achievement Award (2014), and the ACM President’s Award (2008). She received a Rutgers School of

Conference Session

Problem Solving, Adaptive Expertise, and Social Engagement

Collection

2018 ASEE Annual Conference & Exposition

Authors

Janna H. Ferguson, Northeastern University; Jennifer Lehmann, Northeastern University; Yevgeniya V. Zastavker, Franklin W. Olin College of Engineering; Susan Chang, Northeastern University; Reid P. Higginson, Harvard University; Cigdem P. Talgar, Northeastern University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

clearly and rigorously identify adaptive expertise in practice.Evaluations of adaptive expertise have taken several approaches: the direct observation of theperformance of adaptive expertise, either in authentic or laboratory conditions; interview andreflection protocols designed to elicit self-reports about responses to complex environments; andsurvey instruments, in which respondents rate their agreement with statements pertaining toeither attributes related to adaptive expertise or the prevalence of actions characteristic of theperformance of adaptive expertise [9].Across all of these studies, different sub-components of adaptive expertise have emerged. Whilethere is broad consensus that adaptive expertise is built on top of subject expertise