topic.Overall, students were observed to place more care in their experiments than they had in the past.This was especially evident in the final projects, where students took great care to minimizefluctuations in their system’s outputs. Accordingly, average final project scores were a half-letter grade higher than in past semesters (28 students each term; same instructor), reflecting thisincreased care and professionalism. For example, a group optimizing a paper airplane designselected heavy paper as it was found to lead to less fluttering; another group carefully designedtheir “bottle flip” experiment to minimize the human error; another meticulously determined arepeatable condition to test soap bubble lifetime. It is believed the new randomization
set to 1, the secondpoint is now selected as the nearest. Theincorrect selection of the data point causedthe error in the estimates seen in the validationdata set. During the Detailed DesignReview faculty and students determined Figure 4: An illustration of deficiencies foundthat sufficient prototyping was performed during prototyping. 2 dimensional example ofby the team. Issues with the preliminary measurement space. (top) Projection of that samedesign had been identified and a sufficient plan space onto 1 dimensional space. (bottom)existed to address those deficiencies. The teamupdated all documents to reflect the necessarychanges and maintained sufficient focus on the problem identified in the Concept
location • Feedback and discussion with peers from outside the institutionWhile the benefit of dedicated time was highlighted above, we found that having this workshopaway from campus was helpful. There is a growing body of literature pointing to the need forgroups to have so-called “other places”, particularly when working on innovative projects thatmay be counter to the prevailing culture of an organization.24,25 While we do not claim that thisactivity strictly follows the models that have been reported around corporate intrapreneurship,we do believe some of the benefits seen by groups working in these other places similarly helpedour time of reflection and planning. Lastly, it helped to get input from peers from otherinstitutions. Just as
. Student were asked to reflect on how intellectually stimulating the MatLab projects were,with a rating of 1 being “not very stimulating”, a rating of 3 being “just right” and 5 being “toomuch”. The overall results were mediocre, with an average score of 3.10 ± 0.71. We believe thisis because students equate intellectual stimulation with difficulty. Intellectual stimulation isdefined as being encouraged to innovate and be creative, as well as encouraged to critical thinkand problem-solve. Intellectual stimulation involves arousing students’ thoughts and imagination[8]. However students tend to think that more thought means more work and thus an increasedlevel of difficulty. When comparing the results of asking students about the difficulty level
rigorous, time-consuming endeavor. The intimateinvolvement of both instructors and mentors is absolutely essential during this phase to reassurestudents of their capabilities, to assuage worries about grading versus learning, and to encouragepersistence. Thus the vital role of healthy-functioning teams is clearly evidenced in promotingstudent success.Managing Large EnrollmentsOur chemical engineering undergraduate enrollment has continued to grow unrelentingly from alow of 175 in 2005 to repeated historic records each of the past five years with a currentenrollment of almost 450 undergraduates. This growth has expectedly been reflected in a surgein freshman enrollment (from 30-40 students in 2005) to an enrollment of 175 in the fall 2015semester
indicates that the cart was traveling at a speed of 0.017 cm/µs. Most groups will use theraw data as reported in centimeters and microseconds. When asked, students are satisfied with thesmall number that they determine for the speed. It is considered as a reasonable result until it is Figure 3: The header comment to the starter sketch controlling the Vernier Motion Detector.converted to 170 m/s, or half the speed of sound used in the sketch. The fact the 90% of labgroups report this result without reservation initially reflects student willingness to accept theresults that the computer reports with little critical evaluation. This leads to a discussion abouthow to modify the program to report the time that the cart is at each position and not the
temperatures. In addition, the antenna setup should be carefullyselected for temperature. For example, at room temperature, if the RFID antenna is required 2ftof antenna to antenna distance, the best distance between tag and the antenna is 3ft for the bestdetection rate. At the higher temperature, T = 130°F, if the tag is located 4ft away from thereading antenna, 4ft of antenna distance or DCA = 2ft is the best for the maximum reading rate.There are couple of limitations. First, the environmental temperature is simulated using smallbox and only the tag is inside of the box while the antennas are outside. This implies that onlythe tag is affected by the temperature, while the reflected signal from the passive tag is partiallyaffected. In other word
noted, students in the orbitalmechanics class are from two different tracks (aeronautics or astronautics) as well as differentclass years (juniors and seniors). While these students have shared aspects of their curricularexperiences, they have not taken all of the same core technical courses together. The separationscourse, on the other hand, is a class of chemical engineering juniors who have shared their entiredisciplinary coursework. Thus, the variability in their experiences with respect to instructor andchemical engineering curriculum is negligible. This may reflect why the chemical engineeringcourse showed no statistically significant results, and the relatively small variability in answersobserved. In fact, all students in the
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. Nate Poling, Texas A&M University As an educator and faculty developer, Nate is interested in leveraging the power of popular culture and multimedia to help facilitate effective learning. In a teaching career that has ranged from the K12 to the Ph.D. levels, he has always stressed the importance of using relevant material in motivating and engag- ing students in the learning process. At the Center for Teaching Excellence at Texas A
carwas only able to see one wall of the hallway, it did not always steer correctly back to the centerof the hallway, as it would detect both lane boundary lines on the same wall as shown in Figure 5below. Other times, the car would stop before reaching the end of the hallway due to notdetecting any lane boundary lines. Figure 5. Example of detecting both lane boundary lines on the same wall.Issues that need to be solved include (1) failure to detect lane boundaries due to the gradientbetween the baseboard and its reflection on the floor being below the detection threshold; (2)incorrect steering actions when only one lane boundary is detected; and (3) S pattern or zig-zagsteering actions when the PlayStation Eye camera is off-center or
GROUP LEADER’S REPORT (Confidential) Today's Date: This report is to be turned in to the TA personally the day the report for the experiment is due. All the information in this report must be completed as accurately as possible, failure to do so will reflect on the Group Leader's performance and appraisal. Group Number: Experiment Number: Title: Lab Session No.: Group Leader's Name: Teaching Associate's Name: I. Time Report Group Members Time in Laboratory Time in Calculations If absent from lab or
problem-solving and the skills necessary to useprogramming to solve real-world problems. We believe that learning a second language helps toaccomplish this goal, as it demonstrates to students that the connection between programmingand problem-solving is not language dependent, but rather that it revolves around a core set ofskills. Additionally, students are exposed to the idea that they can apply these skills to newprogramming languages. As the final exam was undertaken in MATLAB, the students in AIDEgroups could not observe a direct link between the project and preparing for the final. Thisobservation may reflect perceptions on behalf of the students that the course is a “MATLAB”course, rather than a more general programming course. In the
Postsecondary Education: Reflections on Principles and their Application," Journal of Postsecondary Education and Disability 19.2, 2006.
services librarian at Kelvin SmithLibrary, Case Western Reserve University, for the invaluable feedback on the project. References1. White, M. A., The history of the Engineering Libraries Division, Part 1 - 1893 to 1960. In2016 ASEE Annual Conference & Exposition, New Orleans, LA, 2016.2. Youngman, D. C., Changing roles for science and technology librarians as reflected in thehistory of Engineering Index. Issues in Science and Technology Librarianship 1998, Spring.3. Hubbard, D. E., Analysis of ASEE ELD Conference Proceedings: 2000-2009. In 2010Annual Conference & Exposition, Louisville, Kentucky, 2010.4. Price, D. J. d. S., Networks of scientific papers. Science 1965, 149
in the field studies reported here. Any opinions,findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation.References1. Arnold, A. (1999). Retention and persistence in postsecondary education: A summation of research studies. Texas Guaranteed Student Loan Corporation, 5.2. Chang, M. J., Sharkness, J., Hurtado, S., & Newman, C. B. (2014). What matters in college for retaining aspiring scientists and engineers from underrepresented racial groups. Journal of Research in Science Teaching, 51(5), 555-580.3. Hayes, R. Q., Whalen, S. K., & Cannon, B. (2009). Csrde stem retention report, 2008–2009. Center for
empathy and reflection in engineering learning, and student development in interdisciplinary and interprofessional spaces.Mr. Joshua M Cruz Joshua Cruz is a PhD student studying education at Arizona State University. He is interested in in- novating qualitative methods in research, how students transition between high school and college-level coursework, student writing, and student engagement studies. He currently teaches educational founda- tions courses at Arizona State University’s Mary Lou Fulton Teachers College. c American Society for Engineering Education, 2017 Connected Ways of Knowing: Uncovering the Role of Emotion in Engineering Student Learning“Connected
within the team. Students were alsoless likely to exhibit the largest negative shifts in teaming attitudes (bottom quartile) if they hadpositive shifts in their multicultural awareness - openness. Results of this quantitative work wereused to further refine instruments and data collection protocols for replication in the subsequentphases of the project.Diversity OrientationsQualitative results indicate that students consistently described why diversity was important intheir teams and in engineering as a field. These descriptions reflected conversations within theirclasses and the language used by instructors to discuss why diversity and working in teams wereimportant learning objectives in the courses. However, when talking about their
were contributing to research, they often mentioned it was because they were staying withinwhat is already known, rather than seeking something new. In contrast, other participants believethat performing research or experimentation alone makes one a researcher. Some studentsexpressed a temporal aspect to their researcher identity, dependent on their level of activitywithin the research community. This was reflected in comments such as, “[…] I stopped doingresearch at the end of my junior year (I am currently a senior), so I don't really consider myself aresearcher currently […]”. Many students discussed how research needed to contribute to societyand have altruistic goals, whether through the outcomes of their research, the products theycreate
, conceptual design is considered the most cognitively intensive inthe engineering design process (Kim, 2011). Therefore, throughout the whole design process,students may have engaged in their task differently, behaviorally emotionally and cognitively.Thus, we perceive the videos recording their design processes as temporal data. In order toanalyze such data, we used sequence analysis – a temporal data analysis method (Abbott,1995). Each video was divided into a number of two-minute segments for adequate coding,and each segment was watched and compared with predetermined indicators that reflect thethree types of engagement and thus record the presence of each type of engagement at thesub-group level. Due to space limit of this paper, these indicators
from Cognitive Information Processing theory to moreaccurately reflect SVE decision making about majoring in engineering. Practically, the resultscan inform military transition assistance programs and improve university efforts to ensure thatstudent veterans experience a successful transition from their military career to higher educationand engineering studies.This work focuses on two research questions. For Research Question # 1 “What are somebroader influences on the decision to major in engineering?” three themes emerged from ourdata. Theme 1: Decision to major in engineering was made prior to military service. Theme 2:Decision to major in engineering was prompted through the encouragement from otherindividuals. Theme 3: Decision to major
developing standards-based lesson plans.In turn, it was expected that teachers’ research experience(s) and implementation of theinstructional modules in their classrooms would thus impact upon their students’ learning andmotivation to pursue studies in STEM areas16.The success of the RET program has been reflected, in part, by the number of teachers whocontinued to seek a place in the RET programs that followed each summer. One such teacherwas a participant in the first RET program, and since then has been invited back each year toparticipate in the program; the only teacher to have been invited back for each of the ten years ofthe program to continue development of engineering curricula for her high school and serve as amentor for other teachers in
of the summer research experience (See Figure E)as well, with general attitudes reflecting an extremely positive experience for most respondents;a majority of responses were “Strongly agree,” and the following statements received 75% ormore “Strongly agree” responses: “My position provided me with opportunities for learning andprofessional growth”, “There was a positive value to the research project in which I wasengaged”, “I would be interested in another research experience at CIAN”, and “I wouldrecommend this program to my colleagues.”Figure E. 2010-2016 Aspects of ExperienceParticipant Reported Perception of ExperienceROKET participants were asked to rate their overall experience, to which 89% indicated it was“Excellent” (97% indicated
design/safety factors 8. Describe mechanisms of brittle and ductile fracture 9. Define creep and conditions under which it occurs and calculate steady-state creep rate2 Mechanical System Design and Construction2.1 Testing Machine StructureThe structure for the material testing machine was built exclusively with materials availablefrom a local steel supplier. Plain carbon steel with a material thickness as close as possible to1/8 in was used, which allowed for high strength and easy weldability. This meant choosing ei-ther a 1/8 in (0.125 in) or 11 ga (0.120 in) thickness. The list of materials used to build the steelstructure and cost is shown in Table 1. Prices shown reflect those advertised by online suppliermetalsdepot.com. This was done
Count of Studentsfrom which to draw conclusions. 25Students were provided space to offer 20 Stronglycomments on each statement. Overall, the 15 Agreecomments reflected the positive effect ofcandy on the classroom atmosphere and in 10 Disagree Stronglyproviding incentives to participate, as
were clarified. Students came to lab more familiar with the circuit and the process to buildit. All these effects contributed to prevent mistakes in the process.To sustain these improvements, the revisions to the lab assignment will be made permanent; theinstructor and teaching assistants will look for clarifications in other assignment instructions. In thefuture, students will be asked to anticipate failure modes and how to prevent them as part of the pre-laboratory assignment, then reflect on those predictions in lab report conclusions. Training on otherLean Six Sigma techniques will be included in the curriculum.This project demonstrates that even a brief, 75 minute Kaizen event held for freshman circuits studentscan improve their
and pre and postprogram assessment that includes both academic and interest outcomes. Various statistical testsincluding an ANOVA analysis of mean differences as well as a regression analysis of the studentand mentor data should be conducted. Additionally, as introduced within the limitations section,an analysis of classroom mentors opened-ended questions should be analyzed for qualitativeresearch purposes. This is especially important for those mentors who had negative experiencesand may have reflected that information within the survey.BIBLIOGRAPHY[1] Afterschool Alliance (2004). American After 3 PM: Afterschool Programs in Demand.[2] Afterschool Alliance. (2011). Afterschool: A vital partner in STEM education. Retrieved from http
be able to keepup or handle the stress.” These comments point to the need to understand student confidencelevels and provide more support and opportunities for students to improve their confidence inengineering in order to increase retention.ConclusionsIn this study, survey data collected during a first-year engineering course designed for undecidedstudents showed significant trends in student attitudes towards the required math, chemistry, andphysics classes throughout the semester. Students viewed math as being more important toengineering than chemistry, which reflects the emphasis placed on a strong math foundation tobe successful in studying engineering. Students found math, chemistry and physics morechallenging at the end of the
include discipline-specific elements of arguments, such as weighing and justifyingtrade-offs based on prioritized criteria and constraints, which are features of argumentation inengineering.21 Thus, more discipline-specific instruments are needed to assess students’argumentation in engineering.Some existing instruments can be used to determine the quality of students’ writing inengineering. Most notably, Abts and colleagues developed the Engineering Design ProcessPortfolio Scoring Rubric,22 which includes the following two elements: “evaluation, reflection,and recommendations” and “presenting the project.” These elements might be related toargumentation, in the sense that students are expected to present the project “for the audiencesand purposes
were able to analyze their experimental processes from differentperspectives to explain and present in a professional manner. It seems well consistencythat students with higher assessment scores in the six criteria have higher course grades.Some team members with lower performances were mainly due to not the adequatethroughout project development, which was reflected on the quality of requested deliverables,including the final presentation. This means that students are lack of enough knowledge orhave a wealth of disconnected knowledge and do not know how to build relationships amongthem. Students become more confident to face and deal with the laboratory problems aftertraining with the design-based course modules. In addition
flight.Results and Analysis Made by the StudentsThe work objective of the vibration team for this project was to assemble the inner spool of the 3Dprinted jet engine on the GUNT Hamburg machine, balance it, and then study its vibrations fordifferent faulty bearings through envelope analysis. The team had 6 weeks to conduct theexperiment, collect the data and analyze them, after they complete the setup of the jet engine. Thefaulty bearings were taken from the GUNT machine which has five different faulty bearings (B,C, D, E and F while bearing A has no faults). The difference between the bearings is the locationand severity of the faults, which is reflected in the envelope analysis plots for each bearing. TheGUNT software generated the plots for the