role of emotion in student learning, and synergistic learning. A recent research project uncovers the narratives of exemplar engineering faculty that have successfully transitioned to student-centered teaching strategies. She co-designed the environmental engineering synthesis and design studios and the design spine for the mechanical engineering program at UGA. She is engaged in mentoring early career faculty at her univer- sity and within the PEER National Collaborative. In 2013 she was selected to be a National Academy of Engineering Frontiers of Engineering Education Faculty Member.Karen Sweeney Gerow, University of Georgia Karen Sweeney Gerow is pursuing her PhD in the Lamar Dodd School of Art at the University
Education Annual Conference & Exposition, Chicago, IL.[3] MacAlpine, B., & Uddin, M. (2009). Integrating information literacy across the engineering design curriculum.Proceedings of the American Society for Engineering Education Annual Conference & Exposition, Austin, TX.[4] Williams, B., Blowers, P., Goldberg, J. (2004). Integrating information literacy skills into engineering courses toproduce lifelong learners. Proceedings of the American Society for Engineering Education Annual Conference &Exposition, Salt Lake City, UT.[5] Starkey, A., Kissick, B., Collins, J., & Oh, J. (2006). Faculty librarian partnerships for information fluencyinstruction: Planning and preliminary assessment. Proceedings of the American Society for
School. Eds: Bransford, J.D., Brown, A.L., Cocking, R.R..National Academy Press (Washington; 1999).3. Greenberg, J. E., Smith, N. T., and Newman, J. H. (2003) Instructional module in Fourier spectral analysis, basedon principles of ‘how people learn’. Journal of Engineering Education, 92, 155-1654. Pandy, M. G., Petrosino, A.J., Austin, B. A., and Barr, R. E. (2004) Assessing adaptive expertise in undergraduatebiomechanics. Journal of Engineering Education, 93(3), 1-125. Gunter H.E., Bonventre, J.V., D’Avila M.A., Sadeghpour S., Vijaykumar R. (2003), “Education Innovation inPhysiology” Proceedings of the American Society for Engineering Education Annual Conference. Nashville, TN,June 22-25, 2003.6. Henrickson S.E., Gunter H.E., D’Avila M.A
discovery phase; as a result, more emphasis was placed on creating descriptive behaviors of acurious individual that related to the discovery phase. This framework was used as a techniquefor item creation, not to ever be used in the final instrument. As an example of this type ofbehavioral description for Curious, we find the following displayed in Table 1: “Asks questionsto get to the root of the problem.” This describes a behavior related to problem definition, a keytask early on in the innovation process, specific to the discovery phase. The purpose of thesematrices was to provide the research team with a more structured approach for item creation; anexample of the full behavior matrix for Curious is shown in Appendix B. After compilingmatrices
the clearest connections between altruistic field and biochem-related engineeringdiscipline interests (b = .33, p < .001) and commercial field and technology discipline interests (b= .20, p < .001). When focusing on technology and biochem disciplines, fields with opposinglevels of gender parity, cis men reported a small positive relationship between altruistic fieldinterests and technology discipline interest (b = .06, p = .005) while students with marginalizedgenders reported the opposite (b = -.10, p = .002).Overall, these results suggest that there are some predictive patterns in students’ beliefs,priorities, and field interests. Most effect sizes were small to medium, with R2 values rangingfrom .09 to .30. Cis men and students with
-Report.pdf.4 Felder, R., (1995). A longitudinal study of engineering student performance and retention, IV. Instructionalmethods and student responses to them. Journal of Engineering Education, 84(4): p. 361-367.5 Zollman, A. (2012), Learning for STEM Literacy: STEM Literacy for Learning. School Science and Mathematics,112: 12–196 Bjorklund, S. and Fortenberry, N.L. (2005). “Measuring Student and Faculty Engagement in EngineeringEducation” Center for the Advancement of Scholarship on Engineering Education (CASEE), National Academy ofEngineering. August.7 Borrego, B., Froyd, J. E. & Hall, T. S. (2010). Diffusion of Engineering Education Innovations: A Survey ofAwareness and Adoption Rates in U.S. Engineering Departments. Journal of
comes in every morning to teach me.Sophia’s Usually, I will arrive to work around 6.10am, walk through the turnstile to Plant 1,response and arrive to the [hosting] department around 6.20am. This is the time to check on what might have happened at the plant during shifts B, and C (I work shift A) since the plant runs 24 hours a day. I'll check my emails, calls and messages from the day before and around 6.30am pick up reports from the printers. The reports simply show what errors cars have had during the last 24 hours at different parts of the line. I'll walk to plant 2 and put up some of the reports on a white board on the line, and return to my desk in plant 1
. Thehour-long, semi-structured interview was conducted by the researcher (graduate psychologystudent) and was audio recorded via a digital recorder. The interview consisted of questionspertaining to the participant’s reason(s) for pursuing a bachelor’s degree, challenges andstrategies they have encountered, and degree to which they feel connected to others in theirprogram. (Please see Appendix B for the full list of interview questions.) Once the interviewconcluded, participants were then given the demographics form, debriefed, and given monetarycompensation for their time. Page 25.136.6In an effort to preserve the participant’s anonymity, the
the evaluation of RQ1, an independent sample t-test was first used to compare twogroups: (a) students enrolled in remote learning and (b) students enrolled in traditional learning.The results of this initial analysis informed additional t-tests to further evaluate differences thatmay have been present between courses offered in both traditional and remote settings.While Likert-scale data are ordinal and better suited for non-parametric Mann Whitney tests, arecent study indicated that the results for parametric t-tests and the non-parametric MannWhitney counterpart produce almost equal type 1 errors and demonstrate very small differencesin statistical power between the two tests [35]. Thus, independent samples t-tests and MannWhitney tests
Paper ID #25202Work in Progress: An Intersectional Conceptual Framework for Understand-ing How to Measure Socioeconomic Inequality in Engineering EducationMr. Justin Charles Major, Purdue University-Main Campus, West Lafayette (College of Engineering) Justin C. Major is a third-year Engineering Education Ph.D student and National Science Foundation Graduate Research Fellow at Purdue University. Prior to graduate school, he completed Bachelor’s de- grees in both Mechanical Engineering and Secondary Mathematics Education at the University of Nevada, Reno with a focus on K-12 Engineering Education. Justin’s current research
learning styles,” presented at the Spring Mid-Atlantic ASEE Conference, 2016.[3] J. E. Caldwell, “Clickers in the large classroom: current research and best-practice tips.,” CBE Life Sci Educ, vol. 6, no. 1, pp. 9–20, 2007.[4] A. Kabalan, “Think–Pair–Share: A Case Study in an Electrical Engineering Class,” asee.org.[5] L. K. Michaelsen, W. Watson, and J. P. Cragin, “Team learning: A potential solution to the problems of large classes,” … Behavior Teaching …, 1982.[6] H. Lodish, D. Baltimore, A. Berk, and S. L. Zipursky, Molecular cell biology. 1995.[7] B. Alberts, Essential Cell Biology, 3rd ed. New York: Garland Science, 2010.[8] D. Richardson, “Kinemage.”[9] M. L. Epstein and G
Paper ID #26519Engineering Students’ Perceptions of Belongingness in Civil EngineeringDr. Lisa Benson, Clemson University Lisa Benson is a Professor of Engineering and Science Education at Clemson University, and the Editor of the Journal of Engineering Education. Her research focuses on the interactions between student mo- tivation and their learning experiences. Her projects focus on student perceptions, beliefs and attitudes towards becoming engineers and scientists, development of problem solving skills, self-regulated learn- ing, and epistemic beliefs. She earned a B.S. in Bioengineering from the University of
did not use in any way. Based on these general trends in thefeedback and discussions, actions will be taken to establish a more coherent flow in the lessonand tie together the simulation and synthesis. One way to do this is to implement the applicationcomponent of the lesson, which will require teachers to draw on the information they gleanedfrom experimentation with the quantum dots and the simulation. In this application component,the teachers will create a presentation for a fictional “company” that wants to use quantum dots,explaining a) how they function and b) why they would be useful for this particular application. Page
¨andrats. Jag uppmuntrar mina studenter att omstrukturera sina nuvarande kunskaper enligt det nya ATI08 tankes¨ att om ¨ amnet som de utvecklar under kursens g˚ ang. Jag anser att det ¨ ar b¨ attre f¨ or mina studenter att de skapar egna anteckningar j¨ amf¨ ort med att ATI15 de bara skriver ner det jag skriver p˚ a tavlan
. Subjects in the statics dataset often coordinated multiple representations whensketching a new representation, which we call a hybrid translation. For example, we observed astatics subject use both the schematic and shear force diagram to sketch their bending momentdiagram. For reference, students in statics courses are often taught to just use the shear forcediagram to translate to the bending moment diagram. Hybrid translations predominantly occurredin the statics dataset both in percentage of unique codes in the codebook (Figure 1a) and thepercentage of total instances of translation codes (Figure 1b).Figure 1: Percentage of a) total unique translation codes and b) total translation code instancesthat are hybrid translations.DiscussionWhen we
that had five possible answers. Question 8 asks: The thermal efficiency (effectiveness) of a fin is defined as the ratio of the actual heat transfer from the fin to the maximum possible heat transfer. Circle the letter of the statement that best describes the physical meaning of how the maximum possible heat transfer could be achieved. The possible answers for Question 8 are: A The fin has a uniform temperature equal to that of the surrounding air B The fin is infinitely long C The fin has zero thermal conductivity D The convection heat transfer coefficient is infinite E The fin has a uniform temperature equal to that of its baseThe increase in the
) 0.819 associated with the ERC field(S) of studySkill SetsItems evaluating participant skill sets were presented using the following item stem: “How muchhas your participation in the ERC impacted the following skills.” Two highly correlated items (r= 0.885) were identified in this section: “finding relevant literature,” and “making connectionsbetween existing literature and research” (see Appendix B).A two-factor structure also emerged from the EFA (Table 2): 1) communication skills, and 2)research skills. Both factors achieved good reliability levels; Cronbach’s alpha value of 0.907 forcommunication skills and 0.962 for research skills. Two items - “networking across universities”and “teaching and mentoring others” - also demonstrated low
AC 2010-118: SUPPORTS AND BARRIERS THAT RECENT ENGINEERINGGRADUATES EXPERIENCE IN THE WORKPLACESamantha Brunhaver, Stanford University Samantha Brunhaver is a second year graduate student at Stanford University. She is currently working on her Masters in Mechanical Engineering. Her research interests include engineering education and design for manufacturing. She earned a BS in Mechanical Engineering at Northeastern University in 2008.Russell Korte, University of Illinois, Urbana-Champaign Russell Korte is an Assistant Professor of Human Resource Education at the University of Illinois at Urbana-Champaign. He is currently a Fellow with the iFoundry project in the College of Engineering at
Analysis.Journal of Engineering Education, 94(4), 363-371.3. Goodridge, W. H., Villanueva, I., Call, B. J., Valladares, M. M., Wan, N., and Green C. (2014, 22-25 Oct. 2014).Cognitive strategies and misconceptions in introductory Statics problems. In 2014 IEEE Frontiers in EducationConference (FIE) Proceedings, 2152-2159.4. Litzinger, T. A., Lattuca, L. R., Hadgraft, R. G., & Newstetter, W. C. (2011). Engineering Education and theDevelopment of Expertise. Journal of Engineering Education, 100(1), 123-150.5. Case, J. M., & Light, G. (2011). Emerging Methodologies in Engineering Education Research. Journal ofEngineering Education, 100(1), 186-210.6. Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five approaches (Third
evaluations from the freshman and sophomore coursesfrom two different semesters. Specifically, the format of the course evaluations changed fromSpring semester 2004 to Fall semester 2004. The Spring 2004 course evaluations in both classesconsisted of primarily forced choice items with only a few open ended questions see appendicesA and B). The Fall 2004 course evaluations in both classes consisted of only open endedquestions that were very specific (see appendices C and D). It is important to note that althoughthe students in ME 1000 and ME 2000 were different across semesters the engineering professor,the communication instructors and the assignments and curriculum in each class were the same.Quantitative Data Summary ME 1000 and 2000 Spring 2004The
theserecognized minoritized groups, and b) is more a “matter of extent” than being one-half of adichotomous category [2].Horn [3] proposed a framework comprising seven age- and socioeconomic statistical risk factorsfor undergraduate attrition for characterizing the degree to which an undergraduate differs fromthe traditional “norm.” These nontraditional student characteristics include:• Delaying enrollment (does not enter postsecondary education in the same calendar year that high school graduation);• Attending part-time for at least part of the academic year;• Working full-time (35 hours or more per week) while enrolled;• Being considered “financially independent” (i.e., is not a dependent of a parent or guardian) for the determination of eligibility
) Students’ interpretation ofinquiry results; and (4) Actions in conducting projects. Additionally, creative thinkingand product design were also plotted into four instructional steps: (A) Activating priorknowledge; (B) Practices of creative ideas; (C) Selection of the proper one frommultiple creative actions; and (D) Task review to confirm creativity achievement.Finally, a final presentation has been held for a panel of experts to evaluate projectoutcomes.The outcome evaluation of curricular renewal is manageable, but the process ofevaluation is often very challenging. Process evaluation is commonly conducted bytechniques such as observation, interview, or case study that are often criticized forusing a small sample size and may result in findings
, transfer status, and number of part time semesters have also beencollected.The 2003-2013 time period was chosen to extend the sample across two academic policies.From 1999-2009 almost all 100 and 200 level classes were graded on an A, B, C, D, and NoCredit (NC) basis with NC grades being excluded from GPA calculations. The NC policy wasenvisioned to encourage students to attempt more challenging coursework without concerns thata lower grade would adversely affect their GPA. Unfortunately, the policy had the effect ofenabling students that were not making good academic progress to remain enrolled withouttriggering any academic interventions. The policy was abolished in 2009, but students are stillallowed unlimited course withdrawals that also do
focuses on the expectation of how one will perform on atask and how much one values a task or its outcomes.10 EVT posits that three maincriteria must be met for motivated action: a) With enough effort, the performancecan be achieved; b) If achieved, performance will lead to desired outcomes; and c)Those outcomes will lead to satisfaction.10 EVT research has shown thatengineering students with higher expectations will have better academic performance,and those who see higher value for a task will persist longer on that task.5 EVT hasbeen developed to examine students’ motivations toward long-term goals at a degree orcourse level.10For this work, EVT was operationalized to assess expectancy, or how studentsexpected to do in an introductory
) "Neutral" 2006 N (2006) "Neutral" (6-9) a. With service learning, it is possible to meet course learning objectives in a credit-bearing 44 6.43 * 45 6.07 * 38 6.50 * 73.7% course while also meeting real community needs. b. When service-learning is done well, students learn the subject matter better than in 45 6.36 44 6.57 * 38 6.71 * 76.3% a traditional classroom. c. With service-learning, students become 46 6.28 * 45 6.73
. He received his PhD in biomedical engineering from Drexel University and was an NSF Graduate STEM Fellow in K-12 Education (GK-12).Dr. Diane C. Bates, The College of New Jersey Dr. Diane C. Bates is a Professor of Sociology, with research interest and expertise in education in quantitative methods and retention in higher education in STEM disciplines.J. Lynn Gazley, The College of New Jersey J. Lynn Gazley is Associate Professor of Sociology at TCNJ. Her research interests focus on diversity and inclusion in the sciences, and how these processes shape scientific knowledge-making. She has served as a Research Associate and Visiting Scholar with Northwestern University’s Scientific Careers Research and Development
,physics, and chemistry. Math topics include limits, derivatives, half-lives, and graphingfunctions. Physics topics include gravity and force balances, acceleration and trajectories, andkinetic and potential energy. Chemistry topics include chemical equilibrium, heat, pH, acids,bases, oxidation-reduction, and phase changes. Faculty developed the test by selecting relevantquestions from existing Concept Inventories in the three subjects and excluded items withpossible bias. The exam is multiple choice, 4-5 answer choices per question, and students aregiven 75 minutes of in-class time to complete the test. Thus far, the exam has been administeredtwice: Fall 2017 and 2018. (b) Senior Proficiency Concept TestOur team developed a Senior
Development of a National Workshop to Teach Norwegian Ph.D. students in engineering and science: how to communicate research,” ASEE, 2009.[12] B. Newberry, and K. Austin, et.al. “Acclimating International Graduate Students to Professional Engineering Ethics,” Science and Engineering Ethics, vol. 17, pp. 71-194, 2011.[13] J. Piirto, “Teaching Writing to Engineering Students: Toward a Nontechnical Approach,” Journal of Technical Writing and Communication, vol. 26, no. 3, pp. 307-313, 1996.[14] J.J. Lee, “International students’ experiences and attitudes at a US host institution: Self-reports and future recommendations,” Journal of Research in International Education. vol. 9, no. 1, pp. 66-84, 2010.[15] E. Gareis
performance of the freshman has been greatly improvedsince the mentor program was created. The percentage of students on first semester honors(above 3.5) has increased, the number of students on first semester probation (below 2.0) and thenumber of students with a GPA below 1.5 has been reduced, the GPA has increased by almost ahalf a point (C+ to a B-) and the number of students leaving engineering has been reduced.Regarding the transfer population, the 9.18% transfer out value consists of two parts: 1) Transferto another program within the university and 2) Students that leave the university. Part of thehomework assignments in the student’s first semester courses is for the students to also learnabout other fields in the sciences that are related
2006-2042: REPRESENTATION ISSUES IN ENGINEERING EDUCATION:ENGINEERING ISSUES AND PARALLELS FROM THE VISUAL &PERFORMING ARTSWilliam Lee, University of South Florida Bill Lee is a Professor of Chemical Engineering with a significant interest in the practical and philosophical aspects of the educational process. He currently has several projects with faculty in the Visual and Performing Arts, exploring issues in the educational process, problem solving, and creativity.Mernet Larson, University of South Florida Mernet Larson is a Professor of Art History who has written and taught in the areas of art history, art theory, art criticism, and educational aspects of art. She is also a professional