the components of the tool and how tofill in these components of the tool. Then, students worked in teams to construct their own HoQassociated with designing a game to teach aerospace design. The assumption was that studentswere familiar with games, and they were familiar with what needs to be learned in aerospacebecause they spent 8 weeks learning about the field and how to analyze sub components of anaircraft system. Teams met during a regular 50 minute class session. The students were giventheir own room to work in and they had access to on-line resources and a projection device tofacilitate the entire teams‟ ability to view the HoQ diagram. The session was video recorded andresearchers observed and took field notes. Initial analysis
rigorously tested. Thus, another goal of our project is torigorously establish the link between students’ expectations and student resistance. We have recently been awarded a National Science Foundation grant to study studentresistance to nontraditional teaching methods through a range of observations, surveys,interviews, and focus groups capturing both student and faculty perspectives. In this paper, wefocus on the insights into student resistance that can be gained by interviewing students in afocus group setting. We compare the results of focus groups conducted at two institutions usingtwo similar sets of questions. We reflect on both the different insights from two differentpopulations of students, differences in the focus group protocols
education research and providing educational opportunities on sustainable assessment processes for program continual improve- ment worldwide.Dr. Steven W. Beyerlein, University of Idaho, Moscow Dr. Beyerlein has a Ph.D. from Washington State University and has taught at the University of Idaho since 1987. For the last fifteen years he has been the college coordinator for an interdisciplinary capstone design course that features industry sponsored projects. In 2012, the faculty team responsible for running this course was recognized by the National Academy of Engineering for creating a capstone course that is an example of real world engineering education.Dr. Patrick D. Pedrow P.E., Washington State University Dr
-level math and aerospace engineering courses during the Spring and Fall 2020 semesters.The major change was a move from face-to-face to remote learning during the mid of the Springsemester (March) and the fall semester. The face-to face in-class active learning (peer-to-peer,white board activities, team projects/presentations etc.) had to be aligned with the virtualdelivery/interaction modality. To encourage students prepare for the virtual lesson and watch thepre-class preparatory videos and other learning materials, graded short pre-class online quizzesusing the learning management system and virtual in-class quizzes were administered. Theauthors had provided several professional development workshops to the faculty on thesestrategies prior
from Malaysia,” Phys. Medica, vol. 80, no. July, pp. 10–16, 2020.[4] V. Singh, M. T. Khasawneh, S. R. Bowling, S. Kaewkuekool, X. Jiang, and A. K. Gramopadhye, “The evaluation of alternate learning systems in an industrial engineering course: Asynchronous, synchronous and classroom,” Int. J. Ind. Ergon., vol. 33, no. 6, pp. 495–505, 2004.[5] M. D. Roblyer, J. Freeman, M. B. Donaldson, and M. Maddox, “A comparison of outcomes of virtual school courses offered in synchronous and asynchronous formats,” Internet High. Educ., vol. 10, no. 4, pp. 261–268, 2007.[6] S. Morimoto et al., An Empirical Report of Project Based Learning with Asynchronous and Synchronous e-Learning* *This work was supported in
. An example of the weeklyannouncements is shown in Fig. 7.AssessmentsWe evaluated various options for course assessments, e.g., exam proctored by online proctoringservices such as Honorlock, written exam proctored by instructor through video conferencingsoftware Zoom, group projects or individual research papers. The final choice was written examproctored by instructor through Zoom. The examination results would be an indication of theattainment of the course learning outcomes. Fig. 6: a sample of the notes for solving the shaping of the dynamic response problemThe examination scores for the on-demand course in summer 2020 are shown in Table 1. Alsoshown in Table 1 for comparison purposes are the examination scores for the previous
. However, the COVID-19 protocolsimpacted the implementation of these lessons in a VR environment. The lessons were thereforeimplemented such that students could experience them on their computer screens at any time andfrom anywhere. The software platform allowed interaction with the 3D environment usingmouse/cursor controls. The methodology of the development of a VR lesson and links to the VRlessons are included in the paper. Attitude surveys were administered to students before and afterthe implementation of these interactive lessons. Results from these surveys are shared. Thispaper is based on an exploratory project funded by the NSF HBCU Target Infusion Projectsprogram.IntroductionLow self-efficacy associated with challenges in understanding
students to write a summary of what has been covered in the lectureto asking them to collaboratively work on real-world problems and projects. The effectiveness of activelearning strategies compared to the traditional lecture approach, when implemented well, has beenempirically validated and documented in engineering education literature. The purpose of this mixed-methods study was to explore engineering faculty’s use of active learning strategies in their teaching in aMidwestern university’s college of engineering context. Data sources included a survey about the facultyknowledge and use of active learning strategies and follow-up semi-structured interviews that aimed togather an in-depth understanding of their implementation of active learning
organisms. 3D printing can lead to betterinteractions between engineers and psychologists, produced standardized techniques that areneeded in the behavioral sciences, and encourage skills which may encourage students to enterthe STEM aspects of psychology.8. AcknowledgmentThe authors would like to acknowledge the Endeavor – Digital Manufacturing Maker Space atOklahoma State University’s College of Engineering, Architecture, and Technology. Thislaboratory was designed to increase undergraduate laboratory and exploratory time forinterdisciplinary, hands-on, and industry-aligned learning. We would also like thank Dr. BradRowland for providing the Endeavor facility for this project and Jon Bramsch and HannahLancaster for designing and printing the Y
. Finally, the students will meet with potential mentors todiscuss research opportunities and then write a synopsis of the meetings along with the positivesand negatives of each opportunity. The goal is for the students to identify a mentor and start theprocess of integrating into their mentor’s research lab. Following lectures on literature searches and reading the literature, the student will locatejournal articles of their mentors work and other related work. This assignment will also havethem write a synopsis of the articles and how it is connected with the student’s project. Later inthe semester, the students will enter the manuscripts into a reference manager. The scientificmethods will then be covered over three lectures. Future
Press, 2015.[12] P. Lencioni, The five dysfunctions of a team. John Wiley & Sons, 2006.[13] EDUCBA. "Effective & Useful Way to Deal with Difficult Team Members." https://www.educba.com/deal-with-difficult-team-members/ (accessed.[14] D. C. Rajapakse, Practical Tips for Software-intensive Student Projects. Damith C. Rajapakse, 2010.[15] L. L. Greer, L. Van Bunderen, and S. Yu, "The dysfunctions of power in teams: A review and emergent conflict perspective," Research in Organizational Behavior, vol. 37, pp. 103-124, 2017.[16] B. Oakley, R. M. Felder, R. Brent, and I. Elhajj, "Turning student groups into effective teams," Journal of student centered learning, vol. 2, no. 1, pp. 9-34, 2004.[17] M
, Purdue University-Main Campus, West Lafayette (College of Engineering) Carla B. Zoltowski is an assistant professor of engineering practice in the Schools of Electrical and Com- puter Engineering and (by courtesy) Engineering Education, and Director of the Vertically Integrated Projects (VIP) Program within the College of Engineering at Purdue. She holds a B.S.E.E., M.S.E.E., and Ph.D. in Engineering Education, all from Purdue. Her research interests include the professional for- mation of engineers, diversity, inclusion, and equity in engineering, human-centered design, engineering ethics, and leadership.Prof. Patrice Marie Buzzanell, Purdue University at West Lafayette Patrice M. Buzzanell is Professor and Chair of
Number of Number Example measurable learning objective effective mentoring Program of Effective mentors can… relationships Coordinators Students Developing a sense Create a welcoming or inclusive environment, especially at 2 2 of belonging transition points Continuously assess mentees’ development and design Fostering increasingly challenging tasks and projects to advance 2 3
and think deeply about what is going on, also time to clear one's mind to (AP) think more clearly.” Affect the Future “A moment in time when you stop and look back on where you have been, what you have (F) learned, and how this will impact the future.” * Value toward Reflection “Getting the actual time to slow down and think, with no other expectations on how I'm Time (T) spending that time.” Space (S) “Peace of mind, the ability to project one's thoughts” Improvements (I) “Reflection improves performance, and thus satisfaction, with time.” Making Meaning "Opening your mind’ to allow new perspectives
a research project focusing on academic resilience as a psychological tool for improving student engagement. The ongoing research investigates the concur- rent validity of an instrument (ARS-30) with an existing instrument (CD-RISC), an academic resilience instrument posed to measure resilience in an educational context. Besides his interests in game-based ac- tivities around the scholarship of teaching and learning, he is also interested in evidence-based practices through systematic reviews, meta-analysis and empirical research on engineering education issues. In addition, he is interested in measuring inventories development by examining the psychometric properties of instruments in engineering education.Dr
, male workforce that ignores systems of oppression.Our Proposed Use and Future WorkWithin the neighborhood context, we will attempt to use structural equation modeling to modelthe factors we have described prior into early measurement frameworks through: (1) the deliberatecreation of intersectional comparison groups, and (2) the weighting of variables based on genderedand racialized differences presented in various peer-reviewed literature and government reports.To create intersectional groups, we will follow the procedures outlined by Bahnson et al. [33] tocreate separate race-gender groups that go beyond controlling for race and gender (i.e. “Black-Women”, “Hispanic-Men, “White-Women”, etc). Within outside grant projects, we will thenassign
member, track chair, or senior program committee of several Data mining, Big Data, and Artificial Intelligence conferences, including ACM KDD, WWW, RecSys, IEEE Big Data, ICDM, SDM, AAAI, etc. In summer 2015, she served as Technical Mentor/Project Lead at the Data Science for Social Good Fellowship, in the Center for Data Science and Public Policy at the University of Chicago. She is a member of ACM, ACM SigKDD, senior member of IEEE and IEEE-WIE. She is also on the leadership team of the Kentucky Girls STEM collaborative network.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
levels of engagement.Objectives of the StudyThe purpose of this work-in-progress is to report a project that used the Chi and Wylie’s [7]Interactive, Constructive, Active, and Passive (ICAP) framework to survey the degree to whichLow-Cost Desktop Learning Modules (LC-DLMs) helped foster different forms of cognitiveengagement as students learned about a venturi meter in a fluid mechanics and heat transfercourse.MethodParticipantsThe participants for this study were 67 undergraduate students of chemical engineering at a largepublic university in the Pacific Northwest of the United States. Students were enrolled in juniorlevel Fluid Mechanics and Heat Transfer course, the only fluid mechanics course that chemicalengineering students in the
expected [10] for most situations. Rationalistic responseswere even found to questions that were supposed to elicit emotive responses. For example, afterbeing asked “In arriving at your decision, did you take into consideration the feelings orperspectives of anyone else? If so, how did this affect your decision making?”, Subject 155responded: “I took into consideration the kids who I guess ... who, who are LGBTQ+ or who have people in their lives who are close to them who are...then I looked at the perspective or I guess the, the benefits and downfalls of the class as a whole…”The emotive response was observed less often (39 out of 132 coded phrases or 30%), usually inone of two ways; first, subjects would project their own
perceptionsof doing engineering work, regardless of occupational title. We also believe that a sequentialregression model will show that engineering belief measures predict a significant proportion ofvariance in perceptions of having jobs “related to” engineering, over and above SCCT variables.AcknowledgementsThe authors would like to thank the Purdue University Davidson School of Engineering, whosePipeline Center funded this project. This work was also supported by the NSF (DGE-1333468).Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] E. Cech, “The Self-Expressive Edge of Occupational Sex Segregation
attempt to understand student learning and meaning-making is toinvestigate their methods of constructing study guides. By understanding how students constructand, ultimately, use their study guides, we may be able to determine best-practices in theconstruction and utilization of the study guides.Ten participants, all students enrolled in ChE 3020 (Chemical Engineering Thermodynamics II),were requested to participate. At the first class meeting of the semester, the research project wasexplained to the students and informed consent forms were passed out. If they agreed toparticipate, they were asked to return their informed consent forms. We used qualitativemethods, specifically two semi-structured individual interviews, one focus group, and
AC 2007-804: A PEER-LED TEAM LEARNING PROGRAM FOR FRESHMENENGINEERING STUDENTS: IMPACT ON RETENTIONPilar Pazos, Northwestern University PILAR PAZOS is Research Associate at the Searle Center for Teaching Excellence at Northwestern University. She holds a Ph.D. in Industrial Engineering from Texas Tech University. She is involved in evaluation of undergraduate programs, specifically the GSW Program.Denise Drane, Northwestern University DENISE DRANE is Assistant director at the Searle Center for Teaching Excellence at Northwestern University. She holds a Ph.D. in Speech and Language Pathology from Northwestern University. In addition to overseeing various research projects at the
solving physical problems.K-12 members’ perceptions seem to hinge on building an understanding and appreciation ofwhat engineering is and how it impacts society, and of preparing and motivating students tobecome engineers. Open-ended responses provided phrases like integrating STEM intoactivities, projects, presentations, scoring rubrics, and assessment shared across the members. Abroader view included educating both students and the general public on the importance of,process of and implementation of engineering in the world today. K-12 members also viewedengineering education as a research field of teaching and learning. Members of this group wereopen to the PhD in traditional engineering with interest in teaching or a PhD in education
. (2008). Engineering for a changing world (Technical Report). Millennium Project, University of Michigan, Ann Arbor, MI. 8. Grayson, L. P. (1993). The making of an engineer: An illustrated history of engineering education in the United States and Canada. New York: Wiley. 9. Goldberg, D. E. (1996). Change in engineering education: One myth, two scenarios, and three foci. Journal of Engineering Education, 85(2), 107–116. 10. Friedman, T. (2005). The world is flat: A brief history of the 21st century. New York: Farrar, Straus and Giroux. 11. Pink, D. (2005). A whole new mind: Moving from the information age to the conceptual age. New York: Riverhead Books. 12. Florida, R. (2002). The
,Nakao and Treas’ index12 was similarly challenging in our opinion because prestige varies byculture, geography, society – and with the ever-changing American economy, over time.Researchers have also used zip codes as a means by which to infer SES (inapplicable to foreign Page 13.1091.3students) and financial aid status, which is not always known by the student, and which in anycase requires the same projections and assumptions on the part of researchers as other methods.When determining a university student’s SES, researchers rely on their literature-groundedapproximation being more accurate than one the respondent may make. We question the
Faculty for the Master of Science in Wireless Communications degree program. He teaches and carries out research in wireless systems, computer security, and applications of advanced technology in education. He also teaches global business. As Principal Investigator for a Hewlett-Packard Technology for Teaching – Higher Education – Grant received from HP, he is conducting research into the effectiveness of advanced technology in teaching complex information structures. He is a member of the Steering Committee for Project Inkwell (www.projectinkwell.com). Prior to joining the National University faculty, he was President/CEO, SegWave, Inc., an educational technology
MeetingArea 1 1Discussions 1 1SpecificAssignment 2 1 1 2 1 7Assignments/Homework 1 1 2Cases/Projects 1 1 2Quizzes/Exams 1 2 3Resources/ Links 1 1 2Course Survey
atMissouri University of Science and Technology. The principal conclusion is that it is imperativeto the success of this type of program to provide a mechanism for frequently collecting feedbackin order to prioritize and schedule activities to best meet the needs of participants.IntroductionThe National Science Foundation (NSF)-funded project “A Program to Facilitate ScholasticAchievement in Computer Science, Engineering, and Mathematics” at Missouri University ofScience and Technology (Missouri S&T) ran from August 15, 2004 through July 31, 2009. Thegoals of this program were to address: (1) the decline in the number of students pursuing degreesin mathematics, computer science, and engineering, and (2) the minimal rate of low-incomestudents
2006-493: MEASURING CHANGES IN MOTIVATION AND LEARNINGSTRATEGIES: COMPARING FRESHMAN TO OTHER UNDERGRADUATESTodd Johnson, Washington State University Dr. Johnson is Assistant Professor in Educational Psychology. His primary teaching activity includes theoretical foundations of learning and instruction, educational statistics, educational measurement,assessment of learning, and program evaluation. He served as Co-PI on an NSF ?Bridging Engineering Education? grant called the CyberMentor (Mathematics and Engineering via New Technologies: Outreach and Recruitment) project. A major part of this grant was to promote and develop partnerships and interdisciplinary initiatives connecting education
an asset-based perspective to recognize knowledge that is often ignored [13], [14].This framework has largely supported primary and secondary educators’ efforts to create culturallyrelevant pedagogical practices by leveraging students’ lived experiences (see [15]–[17]. Forexample, the work of Mejia and Wilson-Lopez [18] captured how Latino/a adolescents leveragedtheir engineering-related funds of knowledge to create a solution in a design project or in problemsfaced in their everyday lives. Their study found that high school students’ funds of knowledge canbe relevant to engineering bodies of knowledge, skills, and habits of mind such as systemsthinking, scientific or mathematical knowledge, production and processing [19], [20]. The