2006 assessments. It ishoped that a portion of this work will be completed for inclusion in the presentation at theconference in June.Bibliographic Information 1. “Department ABET Information.” The University of Maryland Baltimore County Chemical and Biochemical Engineering Department Webpage. http://www.umbc.edu/cbe/abet, accessed January 3, 2007. 2. Wheeler, J., J.M. Ross, T.M. Bayles, C. Parker, B. Jarrell and J. Raczek, "Engineering New Curricula for Technology Education", Paper # 1369 published in the Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition. Presented in the Emerging Trends in Engineering Education
customers, in practice and research. REFERENCES[1] Rasdorf, W. J., “Computer Programming in the Civil Engineering Curriculum,” Journal of Professional Issues inEngineering, 111:4, pp. 141-148, October 1985.[2] Accreditation Board for Engineering and Technology (ABET), Accreditation Criteria for Engineering Programs,2007-2008, Baltimore, MD, 2007 (http://www.abet.org/forms.shtml).[3] Brady, A. H., “The Introductory and Service Courses in Computing: Some Experiences and a CriticalAssessment,” ACM SIGCE Bulletin, 2:2, pp. 31-36, June-July 1970.[4] Gruener, W. B., and S.M. Graziano, “A Study of the First Course in Computers,” ACM SIGCSE Bulletin, 10:3,pp. 100-107, August 1978.[5] Austing, R.H., B.H. Barnes
field trip.Art Activity: The art activity was offered by a local high school teacher to allow the teachers toend their long day on a creative note. Teachers were taught a special technique of using a gridon an existing picture and preparing their own paintings. This exercise was also connected toengineering via simple examples such as the following: a) the role of engineers in developing materials such as paints, colors, dyes etc. b) the legacy of Leonardo Da Vinci to engineering c) the infusion of grids and the concepts of scaling.Assessment: Data is available from the summer of 2006 when the first ECT workshop wasoffered. Daily surveys were conducted to gauge the quality of the workshop activities.Participants were also encouraged to
thatscore very high in one column and very low in the others. Students with a high number in anyone column are encouraged to volunteer for the activity. This creates a collective sample ofindividuals that strongly represent each category.TABLE II – PERSONALITY STYLES SURVEY Page 26.1147.7The “A” student volunteers are grouped together, then the “B” group, and so on. Each group istold to plan a party and sent to separate private areas for ten minutes. During this time, thepresenting mentor explains to the class the different characteristics represented by each columnand predicts the type of behavior expected from each party-planning group. After ten
the Advancement of Engineering Education. Center for the Advancement ofEngineering Education.Brozina, C. (2018). Measuring commuter student support and success through academicintegration. In 2018 IEEE Frontiers in Education (FIE) (pp. 1-4). San, Jose, CA. IEEE.Chen, Y., Johri, A. & Rangwala, H. (2018). Running Out of STEM: A Comparative Study acrossSTEM Majors of College Students At-Risk of Dropping Out Early. Proceedings of LearningAnalytics and Knowledge (LAK).Duck, S. (1991). Diaries and Logs. In B. Montgomery & S. W. Duck (Eds.) StudyingInterpersonal Interaction. Guilford: New York, 1991. pp 141-161.Johri, A. (2019). The Age of Analytics. ASEE Prism, 28 (6), 21-21Johri, A. (2018). Absorptive Capacity and Routines: Understanding
results reported here were influenced by the students’ exposure not only toengineering practitioners in MEE Practice I and II but also to STEM classes underlying the MEEcurriculum. Over both semesters, students’ top cited reason for selecting mechanical and energyengineering as their major was “interest” (Tables 3 and 4). When asked to indicate the top twofactors influencing them to major in mechanical and energy engineering, 25 to 35 percent of therespondents indicated A) an interest in math, science, technology, logic, and problem-solving; or B)a love for building things and “working with their hands.” Notably, “Interest” as a determiningreason for majoring in mechanical and energy engineering was cited more often at the beginning ofMEE
acceptable. They are graded based on the rubric in Table 1.Table 1 - The rubric for the Puzzle Project. This table provides an outline of the expectations forthe Puzzle Project. For a full grading scale with an exact point breakdown see the Puzzle Projectdocumentation in the Appendix. A Innovative, unique puzzle. Leads the user to a Reviews show an understanding solution through its design (without being trivial of another person’s work and to solve). Elevator pitch conveyed the idea offers constructive, positive behind the puzzle and excited the audience. criticism to improve the puzzle. B Clever puzzle. Fulfills the requirements above Reviews offer constructive
of ELNs vs. paper notebooks performance in logistical categories, with eachcategory rated not well, moderately well, or very well. (a) Students, (b) Student Assistants, (c) Instructors. Eachnumber corresponds to a category listed in the key, with those highlighted in gray indicating ELNs performed better Page 26.293.7than paper notebooks.Instructional logistics were surveyed for student assistants and instructors only. Studentassistants and instructors were asked to rate the ease of completing various tasks in the ELN vs.paper notebooks, such as notebook viewing, performing notebook checks, and findinginformation. A
[5] Mentzer, N. (2014). Team based engineering design thinking. Journal of Technology Education 25.2 (2014): 52-72.[6] Atman, C. J., Adams, R. S., Cardella, M. E., Turns, J., Mosborg, S., & Saleem, J. (2007). Engineering design processes: A comparison of students and expert practitioners. Journal of Engineering Education, 96(4), 359–379.[7] Schön, D. (1979). Generative metaphor: A perspective on problem-setting in social policy. In A. Ortony (Ed.), Metaphor and Society (pp. 254–283). Cambridge: Cambridge University Press.[8] Dorie, B. L., Cardella, M., & Svarovsky, G. N. (2014). Capturing the design thinking of young children interacting with a parent. 2014 ASEE Annual Conference &
closeproximity, the touch sensors detected physical contact and the actuators propel the robot. Theactuators were controlled by the microcontroller and were coded to move at a specific speed. Thepower supply was a 2200mAh battery that powered the microcontroller, actuators and thesensors. The microcontroller acted as the brain of the unit and received signals from the differentcomponents. and reacted according to how the students coded.The success of these two projects along with other team projects emphasized the importance ofthe interdisciplinary knowledge being taught to freshmen engineering majors.Figure 1 (a) Infrared sensor attached to an actuator to rotate a cube; (b) EV3 Mindstorms Brick (Controller) Figure 2 The
second year re- enrollment. Journal of College Student Retention, 7 (1-2).[7] Mulinazzi, T. (1996). The 60-Hour Rule. Success 101, Issue 1.[8] Landis, R. B. (2013). Studying engineering: A road map to a rewarding career, 4th Edition. Burbank, Calif: Discovery Press.
University Press.[3] Uttal, D. H., Meadow, N. G., Tipton, E., Hand, L. L., Alden, A. R., Warren, C. & Newcombe, N. S., (2013). The malleability of spatial skills: A meta-analysis of training studies. Psychological Bulletin, 139(2), pp. 352-402. doi: 10.1037/a0028446.[4] Uttal, D. H. & Cohen, C. A. (2012), Spatial Thinking and STEM Education: When, Why, and How? In B. H. Ross (Ed.), The Psychology of Learning and Motivation, 57, pp. 147-181, Elsevier.[5] Hegarty, M. (2011). The role of spatial thinking in undergraduate science education. In Third Committee Meeting on Status, Contributions, and Future Directions of Discipline-Based Education Research. Available: http://www7. nationalacademies. org/bose
exam, Ioften wind up with a low score (meaning, a B, instead of an A; or the rare C). So, I’m alittle nervous.My exam is now in my hands – both parts. I can’t see a score readily visible; there aretwo stapled sections, each with multiple problems, each problem with a score. I startadding them up to see my total. My professor has a very interesting model for givingmath exams. Because our class periods are only 50 minutes in duration, he allots twodays for each exam, so that we have enough time to answer the problems. He gives theexam in two parts. Part 1 was given on Wednesday, in the fifth week of classes, and wasworth 80% of the possible points. We read on the professor’s website3 that part 1 isdesigned with a strategy of being a combination
.26176[13] A Behrens, L. Atorf, R. Schwann, B. Neumann, R. Schnitzler, J. Balle, T. Herold, A. Telle, T. Noll, K. Hameyer, T. Aach, “MATLAB Meets LEGO Mindstorms-A Freshman Introduction Course into Practical Engineering,” IEEE Transactions on Education, Vol. 53(2), pp. 306-317, 2010.[14] M. E. Beier, M.H. Kim, A. Saterbak, V. Leautaud, S. Bishnoi, and J.M. Gilberto, “The Effect of Authentic Project-Based Learning on Attitudes and Career Aspirations in STEM.” Journal of Research in Science Teaching, Vol. 56, pp. 3-23, 2019.[15] M. A. Hutchison-Green, D. K. Follman, G. M. Bodner, “Providing a Voice: Qualitative Investigation of the Impact of a First-Year Engineering Experience on Students’ Efficacy Beliefs
= 0.04, p = 0.74). Course effort was not associated withperformance (r = 0.03, p = 0.80).We further exploratorily investigated how the intention intervention changes the influences ofmotivation on course effort and performance. With exam grade as a covariate, course effort andperformance separately were regressed on each motivation sub-component, condition (0 = thecontrol condition, 1 = the intention intervention condition), and the interaction of the two. Wefound that the intention intervention buffered the negative effect of amotivation on performance(b = 0.29, p = 0.05, 95% CI = [0.01, 0.57], see Figure 1). Specifically, participants assigned toFigure 1. The moderating effect of the intention intervention on the relationship
., Using LEGO Bricks to Conduct Engineering Experiments. Proceedings of the ASEE Annual Conference and Exposition. 2004.[3] Bain. K., Creating a Natural Critical Learning Environment in Large Lecture Classes. Invited lecture, Stevens Institute of Technology. 2005.[4] Engineering Trends. 2005. Synopses of New Reports in Inside Engineering Education on the Engineering Trends Web Site. Engineering Trends Quarterly Newsletter, Summer 2005.[5] National Science Board. Science and Engineering Indicators 2004. Chapter 2: Higher Education in Science and Engineering. 2004.[6] Pomalaza-Ráez, C. and Henry Groff, B. Retention 101: Where Robots Go…Students Follow. Journal of Engineering Education. Vol. 91, No.1, 2003.[7
emphasis on industrial engineering and manufacturing. b.) An automated titration apparatus using a Vernier Ph sensor that illustrates applications of environmental and chemical engineering. c.) A model bridge strut equipped with the Vernier Dual Force sensor in selected crossbeams that allows the student to observe static tensile and compressive forces. This demonstration mostly concentrates on civil engineering, with supplementary mechanical engineering principles. This presented body of work includes supporting schematics of all model demonstrations,including detailed descriptions of their functionality and operation, for other universitiesinterested in developing their own representative models for student
Mind Trekkers lesson planfocused on the knee and how it worked.Students measured the range of motion of theleg and compared it with their own using agoniometer. An example STEM concept thatstudents could learn from this activity was thatmore force can be generated with a largerrange of motion. In this case, students couldmove the leg back at increasing angles andkick a ball with more force into a tower ofcups. (The lesson plan for our biomechanicsproject can be found in Appendix B).We also developed supplemental posters toprovide students with more information asshown in Figures 1 and 2. The wind energyposter detailed basic information on how theblades work, how much power can begenerated, and where the wind potential canbe found in the United
- loop and the while-loopDuring day 3, students were assigned a project to analyze blood pressure in order to practice dataacquisition and analytics. They were introduced to the basics of the topic, such as what bloodpressure was, stages of blood pressure, effects of exercise on blood pressure, etc. The project wasoutlined as the following: a. Measure resting blood pressure b. Raise blood pressure (stressed) c. Measure stressed blood pressure d. Import data e. Analyze data in MATLABFigure 1 shows the collected and analyzed day. Blood Pressure Baseline vs Stressed 140 130
Education: Innovations and Research, 14(2), 29.9. Li, Q., Swaminathan, H., & Tang, J. (2009). Development of a classification system for engineering student characteristics affecting college enrollment and retention. Journal of Engineering Education, 98(4), 361.10. Doolen, T., & Long, M. (2007). Identification of retention levers using a survey of engineering freshman attitudes at oregon state university. European Journal of Engineering Education, 32(6), 721-734. doi:10.1080/0304379070152078411. Jonassen, D., Strobel, J., & Lee, C. B. (2006). Everyday problem solving in engineering: Lessons for engineering educators. Journal of Engineering Education, 95(2), 139-151.12. Strobel, J., & Pan, R
universities. A total of six experts withexperience in pre-college engineering, first-year engineering, and engineering education researchreviewed the instrument and provided feedback on both the content and language which weincorporated to create an initial version of the instrument.A total of 279 domestic students (152 from University A and 127 from University B) completedthe initial instrument using Qualtrics online survey software. Reliability analysis of theinstrument focused on the items related to ways of experiencing the transition from pre-collegeto first-year engineering, and we assessed the reliability of individual items, reliability of the fiveconstructs which the items measured, and the overall reliability of the instrument. To
. Long is a native of Dayton, OH. He is a proud graduate of Dayton Public Schools and Wright STEPP - Wright State University’s Science, Technology, and Engineering Preparatory Program (STEPP). Dr. Long’s research interests include: (a) students’ technology use, (b) diversity and inclusion, as well as (c) student retention and success, with a particular focus on students in STEM fields. He has helped to lead research, funded by the NCAA Innovations in Research and Practice Grant, to improve the well- being of the student-athlete. Dr. Long has also assisted with research, funded by NSF, to study factors that broaden minority student participation and success in STEM fields. He has conducted and published research
. Lotkowski, V.A., Robbins, S.B., and Noeth, R. J. 2004. The Role of Academic and Non-Academic Factors inImproving College Retentino. ACT Policy Report.3. French, B. F., Immekus, J. C., & Oakes, W. C. (2005). An examination of indicators of engineering students'success and persistence. Journal of Engineering Education, 94(4), 419-425.4. Veenstra, C. P., Dey, E. L., & Herrin, G. D. (2009). A model for freshman engineering retention. Advances inEngineering Education, 1(3), 1-31.5. Zhang, G., Anderson, T. J., Ohland, M. W., & Thorndyke, B. R. (2004). Identifying Factors InfluencingEngineering Student Graduation: A Longitudinal and Cross‐Institutional Study. Journal of EngineeringEducation, 93(4), 313-320.6. Knight, D. W., Carlson, L. E
school cafeteria to another, in the target landing zone (Figure5). The whole idea of the race was to be consistent with the problem that youth were trying tosolve and help deliver supplies to a disaster struck area. The youth who were able to successfullydeliver maximum supplies in shortest time won the race. Figure 2. Youth drawing sketch of the skyhook he would want to 3D printDesign of 3D AR Visualizer3D AR Visualizer allows youth to view 3D models of skyhooks in a virtual environment and inthe real world using marker-based AR. We chose this specific type of marker (Figure 3(a))because it allows for the most precise placement of the model in the augmented context (Figure3(b)). There is only one type of marker used for this since the
-year career plan results, we see that students who enter theprogram with specific plan for a career in engineering have a much higher probability of retentionthan those with other plans.In terms of academic achievement, not surprisingly, students who remain in the program insophomore year have higher grades in the EG 10111/2 courses, and higher overall semestergrade-point averages, than students who leave in the fall or the spring. Retained studentsgenerally performed at the B+ level, while students who left generally performed at the B to B-level (all differences statistically significant at the 0.000 level) and yet were also in good academicstanding. But, it is important to note that, at least for the fall survey data, students do not
these courses are indicated inTable 1. Initial registrations were even higher for 2009, but a number of students who pre-registered chose to drop the course within the first week of classes.Table 1: Course enrollments A term (B term) 2007 2008 2009 Feed the World 38 (36) 24 (23) NA Power the World 63 (52) 81 (71) 57 (47) Heal the World NA 46 (45) 66 (62) Grand Challenges NA 55 (54) 54 (53)In 2009 both PTW and GC had population limits of 60 and significant numbers of students onthe waitlist at the beginning of the year. The numbers within parentheses indicate the number ofstudents who registered for the second half of the course. The most common reasons studentscited for
of students who placed into Calculus I by AP Calculus Credit, standardized test score,PCALC score or were erroneously enrolled in the course earned an A or B in the course. It isdifficult to discuss the success of the erroneously enrolled students, but it is most likely that thesestudents have been exposed to Calculus I course material at some point and just did not meet theminimum qualification of AP score or passing grade in transfer course credit.Students are encouraged to enroll in the appropriate math course at summer orientation (beforetheir fall semester) based upon the qualifications outlined in this paper. However, some studentswill elect to retake Calculus I, even though they earned credit for the course through AP exams,either out
-enjoyment, t(283) = 9.627, p < .001; b) sense of learning, t(283) = 4.109, p < .001; and c)perception of its helpfulness, t(284) = 4.377, p < .001. Page 15.533.6Figure 2 - Comparing the Motivation Measures for GMA and DAA activitiesResults from the motivation measures were further supported by the unprompted additionalcomments students’ provided on the post lab survey. Of the seventy-one students that providedadditional comments, seventy-six percent referred to satisfaction, enjoyment or learning derivedfrom engaging in the lab tasks. A representation of these comments is shown in Table 3Table 3 - Sample Student Comments from Post lab Survey
expected time on the problem framing. They may not haverecognized the importance of discussing the possible problems of the company through thequestions.Table 1. The first strategies followed by the teams to generate individual questions. Team strategy Teams Explore the data and post individual questions (as proposed). G, K Not show the exploration of the data and post the individual questions. A Explore the data, post the individual questions, and provide general F, H, L, M, P findings from all the questions. Explore the data, post the individual questions, and fully answer and B, C, D, J, N, E, analyze each of the questions.Individual Data-exploratory
explore the use of intrusive advising techniques with first-time full time freshmenidentified as high risk for attrition based upon academic indicators. The goal was to increasethe first-time freshman one-year retention rate. This study is in preliminary phases butexpands upon previous research to further enhance retention.Purpose & problemRecently, Arizona State University, a 4-year public institution, established two institution-widegoals: (a) improve one-year freshman retention rates to 90% and (b) improve 6-yeargraduation rates to 75%-80% and 25,000 graduates. The six-year graduation rate for a fall2010 admitted freshman in the Fulton Schools of Engineering at Arizona State University was66.4%, below Arizona State University institution’s