Conference Session

College Industry Partnerships Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Susan Gallagher, Montana State University; Natalie Marie Villwock-Witte P.E., Western Transportation Institute

Tagged Divisions

College Industry Partnerships

upon graduation reflect this emphasis.Respondents expected most or all graduates to be able to: identify and assess safety risks (88%);communicate the importance of safety to a broader audience (80%); identify and implementregulatory safety requirements (71%); develop a safety plan (66%); implement a safety plan(63%); and assess the effectiveness of safety measures (59%). These skillsets map back tocompetencies outlined in the ARTBA certification exam blueprint and reveal that some topicsgain more emphasis at the degree level than others.The authors utilize survey results to develop recommendations on how professional certificationsin general can be used by education providers as “industry benchmarks” to drive curriculumdevelopment. In

Conference Session

Cognitive Engagement

Collection

2018 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Educational Research and Methods

. 1 compares the overall (over the four topics included in the experiment) average percentagescore of the control and experimental groups. As seen from the figure, the experimental (KACIE)group average was 10 points higher than that of the control group (59 compared to 49 percent).To verify that this difference is a reliable, the t-test was performed assuming two-taileddistribution with unequal variance samples. The p-value was found to be 0.002 which is less thanthe typical alpha threshold of 0.05 indicating that the difference is reflective of the impact of theKACIE intervention. For additional insight the averages for each individual topic werecompared in the same figure. With a difference of 26 and 18 percentage points for the

Conference Session

Aerospace Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kenneth W. Van Treuren, Baylor University

Tagged Divisions

Aerospace

, instilling curiosity, connections, and creating value in the students.What results is a mindset and skillset which prepares Baylor students to be competitive in theworkplace. Making our students more aware of what will be faced in industry was a motivationto modify this course project to reflect the company setting when designing a lightweight utilityfighter. The ICE Workshop was a three day, hands-on workshop addressing active and collaboratelearning (ACL) as well as problem/project based learning (PBL) [2]. The workshop, run byLawrence Technological University and sponsored by KEEN, helped faculty understand thefundamental pedagogical techniques of EML, ACL and PBL. Faculty attending the workshop:  Experience firsthand examples of EML

Conference Session

Engineering and Public Policy Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Deanna H. Matthews, Carnegie Mellon University; H. Scott Matthews, Carnegie Mellon University

Tagged Divisions

Engineering and Public Policy

for that question (100% wouldmean a student selected only the correct boxes and none of the incorrect boxes), as well as thescores for the individual elements of a question (the percentage of students identifying one of theoptions as correct response, or not selecting an incorrect response). Few students were able to getall elements correct as reflected in the overall score, whereas certain elements were easilyidentified as the correct response.Table 1. Pre- and Post-Assessment Scores Question Pre-assessment percent correct Post-assessment percent correct Which of the following are examples 73% 83% of life cycle thinking? Which

Conference Session

Multidisciplinary Curricular Design and Assessment

Collection

2018 ASEE Annual Conference & Exposition

Authors

Chi-Ning Chang, Texas A&M University; Courtney Lavadia, Texas A&M University; Douglas Allaire, Texas A&M University; Debra A Fowler, Texas A&M University; Raymundo Arróyave, Texas A&M University

Tagged Divisions

Multidisciplinary Engineering

working in industry she completed a Ph.D. is in Interdisciplinary Engineering with a specific focus on engineering education from Texas A&M University. Her research areas of focus are faculty perspectives and growth through curriculum design and redesign, interdisciplinary teaching and learning, reflective eportfolios and professional development of graduate students related to teaching.Dr. Raymundo Arr´oyave, Texas A&M University Dr. Arroyave is a Professor in the Department of Materials Science and Engineering. He received his Ph. D. degree in Materials Science from the Massachusetts Institute of Technology. His teaching inter- ests include undergraduate courses on materials science and numerical methods and

Conference Session

NSF Grantees Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jean Mistele, Radford University; Sandra Nicks Baker, Radford University; Sarah L. Strout, Worcester State University; Prem Uppuluri, Radford University

Tagged Topics

NSF Grantees Poster Session

in between represent the agreement or disagreementto each statement from disagree (2), somewhat disagree (3) to somewhat agree (4) to agree(5). Each question is linked to one of the five MUSIC model components. The MUSIC modelquestions were modified for this study to reflect the program team-student relationship ratherthan a teacher-student relationship. The revised questions were reviewed by Dr. Jones toensure the theoretical integrity was not compromised. The modified Elites MUSICmotivation survey instrument was administered, online using QUALTRICS, during the fall of2016 with 14 (70%) of the Elite scholars responding.Data AnalysisThere were three sets of data that was analysed: data from the Elites program managementtool, the focus group

Conference Session

Electrical/Electronic ET Issues

Collection

2018 ASEE Annual Conference & Exposition

Authors

Steve C. Hsiung, Old Dominion University; Feng Jao, Ohio Northern University; Lijian Xu, Farmingdale State College; Marjaneh Issapour, State University of New York, Farmingdale

Tagged Divisions

Engineering Technology

cyber enabled learning in the academic community build up.Two previous funded NSF projects: (1) TUES Type 2: “Dissemination of MicroprocessorCourses through Classroom and Interactive Cyber-Enabled Technologies” and (2) I-Corp L:“Transform the Innovated Design and Development of an Embedded Design Training Systemand Associated Support Curricula into a Commercial Available Product” addressed the issues ofoutdated microcontrollers (68XXX and 80XXX series) with new microcontrollers from MicrochipPIC and Arduino ATMEL. The introduction of the Texas Instruments (TI) ARM M4 series was adirect reflection of the I-Corp L project results that the academic community is still in need of anadvanced microcontroller platform to meet industry technical

Conference Session

Materials Division Technical Session 3

Collection

2018 ASEE Annual Conference & Exposition

Authors

Matthew Cavalli, Western Michigan University

Tagged Topics

Diversity

Tagged Divisions

Materials

group has an especially high confidencein their understanding of class topics.Table 14 shows a breakdown of final grades in the course. The highest concentration of gradesfor distance students was at the ‘C’ grade, with over 10% of distance students in the D/F/Wcategory. In contrast, no on-campus students finished in the D/F/W range and over 80% finishedin the ‘A’ or ‘B’ ranges. With the exception of the semester project, the average grade forcampus students was higher in each of the grading categories than for distance students(homework, exams, final exam). The difference was smallest on the final exam (72.9% vs.72.5%) and largest in the homework category (108.1% vs. 91.4%). The greater than 100%average on homework for campus students reflects

Conference Session

Mathematics Division Technical Session 3

Collection

2018 ASEE Annual Conference & Exposition

Authors

Emre Tokgoz, Quinnipiac University

Tagged Divisions

Mathematics

! ! ! !function centered around x=1 and x=2 respectively. Some of the participating students respond by thinking thatthe “difference” stated in the question is the mathematical difference.Written responses of research participants 1, 4, 8, 13, 14, 16, and 17 given in Figures 3-9 reflected themathematical difference between the given two series approximations. During the interviews the participants wereshown Equation (1) given in Section 1 when f(x) = ex. Participants 1, 4, and 14 could not remember the locationaldifference between the two Taylor series approximations given in the question whereas participants 8, 16, and 17were able recognize the locational difference between the two terms and explain how they differ in center.Participant 13 tried to

Conference Session

Design and the Capstone Experience

Collection

2018 ASEE Annual Conference & Exposition

Authors

Shayne Kelly McConomy, Florida A&M University/Florida State University; Ruturaj Soman; Nikhil Gupta, Florida A&M University/Florida State University; Chiang Shih, Florida A&M University/Florida State University

Tagged Divisions

Design in Engineering Education

of engineering education where students will bring together their gained engineering knowledge and nontechnical professional skills such as teamwork, professionalism, communication, and project management. At the end of the second-semester, the Capstone Design course finishes with a whole-day open house event featuring team presentations, a poster session, and review session with panel judges. The audience is fellow students, faculty, external sponsors, and a panel of judges mostly comprised of the Mechanical Engineering Advisory Council (MEAC) members.Throughout the school year, the EDM and SDP classes are required to interact thus encouragingexchange of experiences, self-reflection, and

Conference Session

First-Year Programs Division - Visualization and Mathematics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Adetoun Oludara Yeaman, Virginia Tech; Diana Bairaktarova, Virginia Tech; Tamara Knott, Virginia Tech

Tagged Divisions

First-Year Programs, Mathematics

most ofthe mental processes students mentioned were exclusively happening in the mind, others wereuniquely different, for example drawing in air. In the case of John, his response reflects somesort of imagination or visualization (drawing from his own words), “I tried to visualize the partsbeing moved away from each other and what they would look like after they had moved apart.”Cindy on the other hand, took a more physical approach as indicated in her response, “Mystrategy for choosing the answer to each problem was drawing it out in the air with my hand andtrying to imagine myself looking down on it in order to figure it out.” Her approach involvedusing a physical process of drawing in the air to help her imagine what she expected to see in

Conference Session

Two-year College Potpourri

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nicholas Langhoff, Skyline College; Jenny Ngoc Le, Skyline College

Tagged Topics

Diversity

Tagged Divisions

Two-Year College

, Physics, Chemistry, Biology, Geology, or some EnvironmentalSciences. If we consider attrition from subsequent courses in these sequences, only about 33% ofstudents who enter the CHEM I and II sequence complete it, and only 40 of every 100 do so inthe Physics sequence.These attrition points reflect the reality that the vast majority of Skyline College students,including many interested in pursuing STEM-related careers, are not ready for college-levelmath when they get to the college. On the math placement test administered to students enrollingfor the first time in Fall 2014, only 16% of students placed in Transfer-Level Math(Trigonometry). Far fewer Latinos (5.4%), African Americans (7.1%), or Pacific Islanders(11.1%) did so. In fact, 60% of the

Conference Session

Integrating Experiential Learning into the Curriculum

Collection

2018 ASEE Annual Conference & Exposition

Authors

Félix Langevin Harnois, École de Technologie Supérieure; Jerome Harrison, École de Technologie Supérieure; Prasun Lala, École de Technologie Supérieure; Ghizlane El Boussaidi, École de Technologie Supérieure; Christian Desrosiers, École de Technologie Supérieure; Catherine Laporte, École de Technologie Supérieure

Tagged Divisions

Cooperative and Experiential Education

academia (professor,postdoc, research support, etc.) 6Research in industry 10Table 1. Career objectives of respondents (n=14).More than one choice allowed per respondent.Most responding lab members aspire to work in industry either in research or non-researchpositions, while few aim at becoming professors. This inclination may be a reflection of thestrong collaboration and co-op environment present in both our school and in this lab, whichworks closely with industrial partners on research problems with concrete applications.3.2 Setting up the SC-CoPThis pilot project was our first collaboration with an entire research group, and we decided to usean organic management style for its execution: we did not impose a hard

Conference Session

Minorities in Engineering Division Technical Session 4

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sharnnia Artis, University of California, Irvine; Marjorie C. Shavers, Heidelberg University; Stacie LeSure, American Society for Engineering Education; Breauna Marie Spencer, University of California, Irvine; Aishwarya P. Joshi, Heidelberg University

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering

contains multiple probing questions to help participants reflect deeply ontheir experiences as they relate to the research question. The protocol includes probing questionsdesigned to discover why people behave in a certain way by uncovering the assumed, mutualknowledge, symbolic meanings, motives and rules that provide the context for their actions [42].Analysis: Grounded theory was used as an analytic methodology to identify themes, whichincludes a two-stage, open, and axial coding process to analyze the data, followed by memowriting, theoretical sampling, and theoretical saturation [37]. The content analysis consisted ofresearchers coding themes independently followed by the five-member research team meeting asa group to reach consensus about

Conference Session

Computer-related Issues

Collection

2018 ASEE Annual Conference & Exposition

Authors

Charles McIntyre, Indiana University-Purdue University of Indianapolis; Sanjeev Adhikari, Indiana University-Purdue University of Indianapolis; Veto Matthew Ray, Indiana University-Purdue University of Indianapolis; James W. White, Indiana University-Purdue University of Indianapolis

Tagged Divisions

Engineering Technology

from allthat is available is problematic. Similar to our counterparts in the industry, educators must selectsoftware which satisfies a number of often competing requirements. Our software acquisitionsmust compliment the curriculum, integrate with the technical capacity of the institution, andprovide sufficient challenge to students, all the while reflecting current industry standards. Weare thus presented with a shared dilemma: how do both educators and industry decide whichsoftware application(s) to acquire?Software acquisition and adaptation decisions often involve comparing alternatives of severalcriteria. However, the end users of the software systems may not necessarily be familiar with theoverall decision-making criteria. To address this

Conference Session

ET Projects

Collection

2018 ASEE Annual Conference & Exposition

Authors

Ghassan T Ibrahim, Bloomsburg University

Tagged Divisions

Engineering Technology

and impede its performanceinclude:• Distance between RFID reader antenna location and the passive tag• Angular orientation of passive tag with respect to RFID reader antenna• RF noise interference• RF signal reflections from ground or walls• RF signal reflection of metal surfaces to which the RFID tags attachedTag Performance Evaluation The following RFID tags were tested by the students under guidance of the advisor todetermine the most suitable tag to be used: The Alien Technology Squiggle Tag, The AlienTechnology ALN-9540-WR 2x2, the Alien Technology ALM-9554-WR Inlay, Omni-ID, andOmni-ID Max Rigid, a metal tag coated in silicon, Key Fob Tag, and Mango Key Fob tag. Threetests were performed to validate the tags’ performance

Conference Session

Electrical and Computer Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Daria Gerasimova, George Mason University; Jill K. Nelson, George Mason University; Margret Hjalmarson, George Mason University

Tagged Topics

Diversity

Tagged Divisions

Electrical and Computer

profiles developed. In contrast to the study described in [6], wedifferentiated between two dimensions of engagement – behavioral and emotional – andseparately explored the levels of engagement in each dimension. We also used a differenttimeframe; rather than considering a single class period, we asked students to reflect on theirengagement across the entire semester. These differences allowed us to develop a comprehensivepicture of student engagement profiles, which we hope will be useful for electrical engineeringinstructors. Specifically, knowledge of students’ engagement profiles may help instructors tounderstand the various ways students engage in a course. This knowledge may also help informinstruction and course management

Conference Session

Construction Division Technical Session 2: K-12 through Adult Learning

Collection

2018 ASEE Annual Conference & Exposition

Authors

Saeed Rokooei, Mississippi State University

Tagged Divisions

Construction Engineering

professions. Thesefeatures range from professional socialization to critical thinking. They require that studentsengage in in-depth analysis of problems and apply creativity, critical thinking, problem-solving,collaborative interaction, negotiation, and teamwork to achieve satisfactory outcomes. Studio-and project-based learning provides a way to increase the relevance of course content byrequiring that students not only synthesize information but apply it to actual projects. It alsorequires that they engage in an iterative process that necessitates reflection as well defense.Finally, in many cases, the studio replicates the collaborative environment in which students willenter as professionals.The Building Construction Science program at Mississippi

Conference Session

Middle School Students' Engineering Identity, Efficacy, Attitudes, and Perceptions

Collection

2018 ASEE Annual Conference & Exposition

Authors

Alexis Basantis, Rowan University ; Megan DiPietroantonio; Amy B. Geary, Rowan University; Melanie V. Ware, Rowan University; Kaitlin Mallouk, Rowan University; Cheryl A. Bodnar, Rowan University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

, active/reflective, and sequential/global.Complementary teaching styles can be matched to each of the learning styles, and the traditional“chalk and talk” style can in no way encompass all of them. Several institutions found that amixed-mode approach which balances active learning and passive learning is best for teachingstudents, especially in early stages of development [4]. Thus, in order to teach STEM topics toall students, supplementary teaching tools should be utilized.There are some assignable causes linked to the lack of engagement and success in STEMclassrooms. Many times teachers themselves do not have adequate training to teach STEMtopics. This problem was illustrated in a study done in 2007 that revealed the United Statesranked 41 out

Conference Session

Cognitive Engagement

Collection

2018 ASEE Annual Conference & Exposition

Authors

Allyson Jo Barlow, Oregon State University; Shane A. Brown P.E., Oregon State University; Benjamin David Lutz, Oregon State University

Tagged Divisions

Educational Research and Methods

?Preliminary findings suggest students’ interpretation of items points to a discrepancy betweenresearcher and student meaning of engagement. Though the survey was intended to target in-class engagement, students often conflated their in- and out-of-class engagement behaviors.Moreover, students did not distinguish between language we intended to reflect different levelsof cognitive activity. As we continue to develop surveys surrounding engagement, this studygives useful insight into how we can interpret student responses and provide meaningfulfeedback to faculty. This is accomplished by understanding the ways in which researchers,faculty, and students talk about engagement differently, and how that might lead us towardsshared

Conference Session

MET and Mechatronics

Collection

2018 ASEE Annual Conference & Exposition

Authors

Wei Dai Vian, Purdue University, West Lafayette; Nancy L. Denton P.E., Purdue University, West Lafayette

Tagged Divisions

Engineering Technology

factors affect experimental results, thetensile testing experiment was expanded to incorporate thermoplastic specimens made bythree distinctly different processes. Student roles included manufacture of the specimens,measurement of necessary dimensions, conducting the tensile tests, generating stress-strain curves for each specimen, and determining the corresponding Young’s modulusand ultimate tensile strength values. Reflection on the effects of process and geometricvariation on their property results became a new report requirement. This article willpresent the complete laboratory experience, results, and initial student response to thisenhanced tensile testing experiment.Keywords: Tensile test, Tensile strength, Specimen preparation, Specimen

Conference Session

PCEE Evaluation Studies

Collection

2018 ASEE Annual Conference & Exposition

Authors

Vanessa LeBow, University of Arkansas; Michelle L. Bernhardt-Barry, University of Arkansas; Jyotishka Datta, University of Arkansas

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education

0.05 isconsidered significant.Table 5​. ​Parameter estimates β and their exponentiated values, and P-values for the effect ofsession, gender, and language spoken at home. Effects Estimate Exp.Estimate P.value Significance (Intercept) 0.45 1.61 3.2×10​−3 Yes Gender 0.48 1.6 0.16×10​−3 Yes Session Pre −0.61 0.54 0.81×10​−5 Yes Session WB 0.26 1.3 0.97×10​−3 Yes Language 0.41 1.5 6.4×10​−3 YesTable 5 shows the parameter estimates and their exponentiated values, which reflects the

Conference Session

Aerospace Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mary E. Johnson Ph.D., Purdue Polytechnic Institute; Yue Gu, Purdue University; Lorraine E. Holtaway, Purdue Polytechnic Institute

Tagged Divisions

Aerospace

engineering, computer science, human factors,psychology, and aviation technology. In this paper, the inclusion of sustainability in the firstplace design packages from 2007 to 2017 is examined.This paper explores the topics of previous winning design packages, the departments of thefaculty advisors, and the inclusion of sustainability. Insights from students and faculty ofwinning teams are highlighted. Statistics are used to analyze trends. The trends in the winningteam proposals may reflect the level of importance of sustainability in industry and may supportthe need for explicitly including sustainability in courses in engineering and technology. Thelevel and type of sustainability analyses may inform future competition teams and may be usedby

Conference Session

Division for Experimentation & Lab-oriented Studies Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Nebojsa I. Jaksic, Colorado State University, Pueblo; Bahaa I. Kazem Ansaf, Colorado State University, Pueblo

Tagged Divisions

Experimentation and Laboratory-Oriented Studies

experiments. There are two simple explanationsthat could account for this result. Either the undergraduate student assistants were too helpful inexplaining the process and assisting the CIM students in operating the 3D printers, or the CIMstudents are already so proficient in using FFF 3D printers that the use of DLP 3D printers did notpresent a significant gain in their proficiency. In the future, this question will be changed to onlyaddress DLP 3D printers and the student assistants will be instructed to help only when asked bythe CIM students.Question 5 of the survey was purposefully written in a positively biased form. It was not meant asan assessment tool but as a motivational tool. While self-reflections are important parts ofexperiential

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

activity and is presented in accurate ways. Inquiry Extent to which youth get to 2.28 4 direct their learning through use of scientific practices (including engineering design) in authentic ways Reflection Extent of youth opportunity to 2.03 3 reflect on their experiences, build new knowledge and discuss how what they learn in the current activity relates to prior knowledgeTable 2: Dimensions of Success Tool Comparative DataThe tool is not available publicly and requires an extensive training for its

Conference Session

Military and Veterans Division Technical Session 2: Veteran Identity & Inclusion

Collection

2018 ASEE Annual Conference & Exposition

Authors

Thomas L. Davis, Kent State University; D. Blake Stringer, Kent State University; Maureen Regan McFarland, Kent State University

Tagged Divisions

Military and Veterans

the schedule.Student-Veterans’ Contributions to SuccessVeterans have unique qualities when compared to their non-veteran peers. These assets,according to Lord et al, are reflected by their “experience in planning, implementing, and leadingteams” [4]. Additionally, these traits are bolstered by other attributes typically held by veteranssuch as problem-solving, organizational, and time management skills [2], [5]. This indicates alikelihood that student-veterans are better equipped to navigate difficult projects pressured bytime and resource constraints. Student-veterans’ experience and problem-solving abilities makethem well-suited to technological projects and, more specifically, leadership roles within theseprogram types [5], [6]. For this

Conference Session

Mechanical Engineering Division Technical Session 4

Collection

2018 ASEE Annual Conference & Exposition

Authors

Brett Batson, Trine University

Tagged Divisions

Mechanical Engineering

the syllabus. _____ 4. Worked Practice Problems for understanding, not just to complete them. _____ 5. Taught concepts to others. _____ 6. Asked Dr. Batson (in class or in his office) or a tutor for help when needed. _____ Total: _____ Figure 1. Questionnaire 1 completed by students after the first lecture on metacognition.Questionnaire 1 may also be considered an exam wrapper [8]. A commonly stated objective ofexam wrappers is that of personal reflection among the students, and most authors focus on thispurpose. The Center for

Conference Session

Supporting Faculty in Course Development and Pedagogy

Collection

2018 ASEE Annual Conference & Exposition

Authors

Lydia Ross, Arizona State University; Eugene Judson, Arizona State University; Casey Jane Ankeny, Northwestern University; Stephen J. Krause, Arizona State University; Robert J. Culbertson, Arizona State University; Keith D. Hjelmstad, Arizona State University; Lindy Hamilton Mayled, Arizona State University; Kristi Glassmeyer, Arizona State University; James A. Middleton, Arizona State University; Kara L. Hjelmstad, Arizona State University

Tagged Divisions

Continuing Professional Development

times: one at the beginning of theprofessional development program (fall 2016), and the other at the end of the semester after theworkshops (spring 2017). This study was framed by the following research question: To what extent are faculty beliefs about student-centered strategies reflected in instructional practices in the undergraduate engineering classroom?Literature ReviewStudent-Centered Teaching in EngineeringStudent-centered teaching, or active learning practices, engage key course concepts and materialin an adaptive and interactive manner. Scholars have conducted many empirical studies whichdemonstrate the effectiveness of student-centered teaching practices in higher education. Thesestudies have shown that student

Conference Session

Research Methods

Collection

2018 ASEE Annual Conference & Exposition

Authors

Cory Hixson, Rowan University; Ella Lee Ingram, Rose-Hulman Institute of Technology; Rachel McCord Ellestad, University of Tennessee, Knoxville; Julia M. Williams, Rose-Hulman Institute of Technology

Tagged Divisions

Educational Research and Methods

mustfit the criteria established by the constraints of the system. Impractical solutions are notentertained other than to remove them from consideration. Continual reflection (e.g., “Am Icloser to solving the problem?”) guides all the remaining considerations. Pragmatism is forward-looking (what can and should be done) rather than focused on exploring the past. In this way, thepragmatic approach is direct and actionable; practitioners seek a direction and justification to thenext steps one should take.The theoretical frameworks most suited to the Lean LaunchPad®/Customer Discovery processare action research and design-based research (DBR). The practitioners and scholars engaging incustomer discovery, action research, or DBR are vested in the

Conference Session

Materials Division Technical Session 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Spencer Seung-hyun Kim, Rochester Institute of Technology (CAST)

Tagged Divisions

Materials

3 during the periods. Them-POGIL laboratory practices require the students to work for meaningful learning activities bythe guided inquiry and thus, students think about what they are doing in the activity assigned.These positive attitudes for active learning environment reflected the effectiveness of learning invarious lab activities. The m-POGIL method expects students to use knowledge to solve any kindof problem. The average of learning outcomes increased from 67.0% to 92.9% during theperiods. The study reported an increased level in all areas surveyed and provided strongconfidence to use a proper skill level in practices with growth.In the results of the assessment and evaluation, the study found that the process cycle proposedin Figure