. At Stanford she has served a chair of the faculty senate, and recently served as Associate Vice Provost for Graduate Education.Dr. Helen L. Chen, Stanford University Helen L. Chen is a research scientist in the Designing Education Lab in the Department of Mechanical Engineering and the Director of ePortfolio Initiatives in the Office of the Registrar at Stanford University. Chen earned her undergraduate degree from UCLA and her Ph.D. in Communication with a minor in Psychology from Stanford University in 1998. Her current research interests include: 1) engineering and entrepreneurship education; 2) the pedagogy of ePortfolios and reflective practice in higher education; and 3) reimagining the traditional academic
the total activity time and total lecture time on a specific concept. From Figure9(b), we observe that the basics concept had the highest weight in the exam. However, the pointsallocated to exam questions on conditions and functions does not align well with the timeallocated for class time. Conditions, which has the least class time, accounted for 9.17% of theexam grade, whereas functions accounted only for 5.42%, despite devoting the highest amount ofclass time. This analysis empowers instructors to design fair exams based on their in-class timeallocation or adjust the in-class activities to reflect the exam expectations.Preceptor SurveyTo measure the overhead of the FEAL form administration and its impact on the preceptors’ability to
engineeringdesign and problem solving. Both coding word sets identified these points.Looking back, what part of the program was most rewarding for you?“It was incredibly rewarding we finished building the prototype, tested it, and got very promising results! Thefact that we had designed and built a functioning device from nothing was impressive.“Providing students with the opportunity to develop their own solutions from design to prototypingallows them to develop a personal investment in the project. Creating a functional prototype for ahumanitarian client can be incredibly rewarding for students as they reflect on not only the skillsthey have developed but the lives they can improve. This personal investment significantly boostsstudent motivation and
Incorporation of Incorporation of Incorporates some Engineering engineering practices engineering some engineering opportunity for Practices are evident and practices are evident practices are evident students to carry Engages students in include opportunities and include and include out an investigation authentic and for students to: opportunities for opportunities for meaningful 1. Ask questions (for students to: students to: scenarios that reflect science) and defining 1. Ask questions (for 1. Ask questions (for the practice of problems (for
wereimportant in helping them decide their major. Self-led exploration of the engineering disciplineswas the top occurrence, followed by advice from people not at Purdue, advice from other Purduestudents, and several others. Interviews with students confirmed the survey results. Students’own research and initiative to talk to others helped them identify which pathway to take. In aseparate survey, students answered the question “Did activities help you decide whichprofessional school to enter? Explain.” Course presentations were, by far, listed most often. Thisis similar to the results of the study presented in this paper.Continuous RefinementThere are numerous ways to support students in reflecting upon their interests and goals.Students were given the
learning. This research needs to continue in otherengineering courses, including upper-level undergraduate courses, to understand similarities anddifferences in this established framework.AcknowledgmentThis work was made possible by a grant from the National Science Foundation (NSF EEC1227110). Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author and do not necessarily reflect the views of the National ScienceFoundation.Bibliography1. Zawojewski, J. S., Diefes-Dux, H. A., & Bowman, K. J. (Eds.) (2008). Models and modeling in engineering education: designing experiences for all students. The Netherlands: Sense Publishers. (change 10 to 1, add 1 up to 10 to all so would be 12)2
, Writing and Learning Disabilities Vol. 6, pp. 223-247.9. Johnson, D.W., Johnson, R.T. & Smith, K.A. (1991), “Active Learning Cooperation in the College Classroom,”Edina, MN: Interaction Book Company.10. Fairhurst, A.M., & Fairhurst, L.L. (1995), “Effective Teaching, Effective Learning,” Palo Alto, CA: Davies-black Publishing11. Dale, E. (1969), “Audiovisual Methods in Teaching,” (3rd ed.), New York: Dryden Press.12. Wankat, P.H. (1999), “Reflective Analysis of Student Learning in a Sophomore Engineering Course,” Journal ofEngineering Education, Vol.88, (no.2), 195 -203.13. Finelli, C., Klinger, A., & Budny, D.D. (2001), “Strategies for Improving the Classroom Environment,” Journalof Engineering Education, Vol 90, (no.4), pp. 491
downstream courses does not reflect as many students as captured inthe upstream data.With this caveat in mind, the data for ME 320 (Dynamics) are presented in Figure 4 and Figure5. Figure 4 shows the grade distributions for ME 682 (downstream course) as a function ofwhether students in ME 682 took ME 320 with or without UGTFs. It can be seen that theaddition of UGTFs to the ME 320 classroom in Spring 2016 correlated with a reducedpercentage of students getting a D or F in the downstream course by 5.4%, and increasedthe percentage of students earning a C (8% compared to 1.8%), but did not improve thepercentage of students scoring an A or B.This data may be further parsed by examining Figure 5, which shows grades between ME 320and ME 682 correlated
they need technical support. It isinteresting to note that these findings were consistent among students regardless of their levels ofexperience with online and face-to-face course formats. We might conclude that these aregenerally universal needs for all students, and thus, issues of prompt communication andfeedback may merit solid attention from course designers and faculty members.Value for instructor roles related to technologyOverwhelmingly student responses to the question “What can your instructor do with technologyto better support your academic success?” requested more use of technology. This reflects apositive outlook for the use of technologies to increase learning. Because students saw greatopportunities to enhance their success
transformed into themental model, and the author believe that virtual and physical laboratory sessions are strongeducational tools for facilitating this transformation. Moreover, those laboratory sessions alsohelp completing the optimal learning path consisting of Concrete Experience, ReflectiveObservation, Abstract Conceptualization, and Active Experimentation [14]. To cite an instance,providing the students second chance to improve their grades might set an example for reflectiveobservation, where the student might observe himself/herself based on already received grade,and reflects and improves their standing by actually improving the answers based on the finaldiscussion. It has been indicated that this scheme is supported by the students, and
of two entangled beams of photons aimed at asubstance and measure the interference pattern in the reflected beams. The use of entanglementsignificantly increases the information content gathered as the measurement of one photon willgive you information about the other. This technology has a great potential in medical use wherenon-invasive, real-time imaging of a living organism is desirable. [17] Similar techniques inastronomy are expected to improve the performance of interferometers in astronomy. Forinstance, while LIGO finally detected gravitational waves from colliding black holes in 2015using Michelson interferometers, entanglement enhanced interferometry can help detect weakergravitational waves. [18]2. Quantum Communications &
, interdisciplinary teaching and learning, reflective eportfolios and professional development of graduate students related to teaching.Prof. David E. Claridge P.E., Texas A&M University David Claridge is the Director of the Energy Systems Laboratory and the Leland Jordan Professor of Mechanical Engineering at Texas A&M University and a Professional Engineer. He holds a B.S. in Engineering Physics from Walla Walla College and M.S. and Ph.D. degrees in physics from Stanford University. He is internationally known for his work on energy efficiency. He pioneered development of the process of existing building commissioning which is today generally recognized as THE most cost-effective way to reduce energy use in buildings
and can be easily incorporated into an existing curriculum.7. Acknowledgments This material is based upon work supported by the National Science Foundation under GrantNo. 504030. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author and do not necessarily reflect the views of the National ScienceFoundation. Photos in Figures 3 and 6 are courtesy of Adafruit.com.Bibliography[1]. S. A. Ambrose et al., How Learning Works: Seven Research-Based Principles for Smart Teaching. Jossey-Bass, 2010.[2]. C. J. Atman, et al., Enabling Engineering Student Success: The Final Report for the Center for the Advancement of Engineering Education, 2010.[3]. S. Sheppard, et al
for brainstorming include: there are no dumb ideas; Successful: do not criticize other people’s ideas; build on other people’s Visual, hands- ideas; and reverse the thought of “quality over quantity” on-activity, qualitative meaning the more ideas the better and the quality of an idea data, is not as important at this phase. encourages new ideasPareto Analysis A Pareto analysis reflects the frequency or impact of Initially problems. The
analyzed the aggregated course-specific and instructor-specific metrics, and we have listed all of the free-response studentcomments from each of the semesters that mentioned team formation one way or the other (totalof 11 in both intervention and control years). Quantitative responses were based on a 5-pointLikert response (5 = strongly agree, 3 = neutral, and 1 = strongly disagree) to statements specificto the course (e.g. “I learned a great deal in this course,” “Overall, this was a worthwhile course,”etc.) and specific to the instructor (e.g. “Instructor was well-prepared for class,” “Overall thisinstructor was an effective teacher,” etc.). Mean responses reflect a weighted average based uponthe number of students assigning a specific
reflect that they haveunderstood well all the basic ingredients of the modeling techniques and design of the renewable energysystems. They were also very pleased with the approach used to teach them. Our experience with theincorporation of renewable energy topics in the senior project design courses demonstrated that theabstract knowledge acquired by the students during their first three years of studies was put into practice.The students in these projects gained extensive knowledge of electronics and mechanical components andtheir characteristics, environmental and structural constraints, separating different aspects of the project,such as generator or converter type, its parameters and characteristics, and what are the final outputs andits
manufacture and passed quality control checks, while the wiring diagram on the ProbotixPBX-BB Wiki webpage may have been updated to reflect a new design. With the input DCvoltage matching the polarity of the markings of the board, there was no measured voltage on theoutput pins. The polarity of the input DC voltage was changed to match the wiring diagram andwith 31.97VDC applied to the input terminals, 7.36VDC was measured on the breakout board 5VDC output pins. According to BeagleBone.org, the maximum voltage that may be applied tothe BeagleBone’s power terminals is 5.2VDC [7]. If a voltage greater than 5.2VDC is applied tothe power terminals, the BeagleBone will not power up. These findings further supported thehypothesis that the voltage regulator
. Malmberg, “Students’ qualification in environmental and sustainability education — epistemic gaps or composites of critical thinking?,” Int. J. Sci. Educ., vol. 38, no. 2, pp. 259–275, 2016.[30] S. Perini, M. Margoudi, M. Fradinho, O. Marco, and M. Dipartimento, “Increasing middle school students’ awareness and interest in manufacturing through digital game-based learning (DGBL),” Comput. Appl. Eng. Educ., no. January, 2017.[31] L. Stanszus et al., “Education for sustainable consumption through Mindfulness Training: Development of a consumption-specific Intervention,” J. Tea, vol. 19, no. 1, pp. 5–22, 2017.[32] C. Ormond et al., “Environmental education as Teacher Education: Melancholic reflections from an emerging
natural environment” [6, p. 21]. Theimpact that the studio course was perceived to have on the students may be one driver for facultyto continue to teach the course. Additionally, the multiple publications describing the courseshow how the faculty members used the interdisciplinary course for research [6], [15] [16].From the faculty reflections from course published by Sochacka and colleagues [6], theinstructors speak of their openness to learning more about each other’s fields as well as thediscomfort that came with it. Through the design studio, the authors state that in workingtogether, they questioned “the values, beliefs, and understandings [they] hold of [their]disciplinary selves and of each other” [6, p. 19]. From an institutional
GrantNumber DUE1525775. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] R. M. Felder, D. R. Woods, J. E. Stice, and A. Rugarcia, "The future of engineering education II. Teaching methods that work," Chemical Engineering Education, vol. 34, pp. 26-39, 2000.[2] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt, et al., "Active learning increases student performance in science, engineering, and mathematics," Proceedings of the National Academy of Sciences, vol. 111, pp. 8410- 8415, 2014.[3] B. Kerr, "The flipped classroom in engineering
. We plan to attempt using other means of reinforcement forthis question in future. We have presented other examples and discussion of connectivity withengineering concepts in another publication in this conference [14].To summarize, the current trend of student performance reflects neglect of importantmathematical concepts, and answering without proper technical considerations. If this trendpersists for long irrespective of our instructional efforts, subjects requiring more in-depthdeliberations would be difficult to deliver. Unable to recall relevant concepts required to solve aquestion during an examination, students usually guess or reply using a layman’s approach [2]. Itis therefore the responsibility of engineering educators to
design-build-test process,particularly during ideation, brainstorming, and design/redesign. Upon completion of the project,students then “raced” each other to determine whether their prototype functioned as appropriate,and wrote a final report that reflected upon their design and redesign process. An example photoof students racing their wheelchair lever arm drivers is presented in Figure 1 below, along withthe students’ resulting assembly design.Figure 1: (left) Image of students testing their prototype on “race day”, (right) resulting assembly model of a student team’s prototype design.Learning Outcomes Measured:Students were provided with individual lap-sized whiteboards (12” x 18”) and markers at thebeginning of
circumplexare grouped together as negative affective states, and ‘Neutral’ affective state forms its owncategory. We observe that there was a net change (n = 5, 6.49%) from negative and neutralemotions to positive after the robotics-enhanced lesson was implemented. Plots showing thechange in affective states for individual classrooms are presented in Appendix A.The TOSRA (robotics enjoyment) data was scored, and descriptive statistics, such as mean,median, and mode were calculated. Mean TOSRA (robotics enjoyment) score was 25.39 (standarddeviation = 7.18) on a scale from 0 to 40, with 0 reflecting the most negative attitudes towardsrobotics and 40 the most positive. Overall, students displayed a positive attitude towards robotics-enhanced classes (mean
information independently[66]. This mechanism reduces the cognitive load of storing information and allows for greaterinformation processing capacity.When engaging in problem solving, experts have been shown to participate in systematic real-time “reasonability” checks, contrasted with novices who proceed to the end without taking timeto reflect [67]. This behavior of expert problem-solvers perfectly aligns with our definition ofengineering intuition as the ability to assess solutions. In real-world engineering, ill-definedproblems are of particular interest. Studies have shown that ill-defined problems are often notsolved systematically, but rather through reactionary, intuitive processes to navigate thedecisions of problem-solving [68].Motivation
increases in confidence for this high school students were in Computer Engineering (from 2.7 to 7.3), Biomedical Engineering (from 3.8 to 7.4), and Neurology (from 1.3 to 7.4). The data reflects their confidence in their knowledge, not their knowledge of that material. We did not conduct any final examinations on the material. The increase in confidence can be traced to the interaction between the high school students, undergraduates, graduate students, faculty, and industry professionals working in that area. When the students were working on their project, their knowledge was constantly being strengthened and reinforced by their partners. Therefore, a potential benefit of the proposed holistic approach is significantly
Learner Capstone Panels Approach In this approach, the students select their preferred technical focus in computer systems design topicsamong a set of 5 to 7 technical focus topics such as reliability, circuit energy, memory read/write powerconsumption, etc. as identified by the course Instructor. Students are mentored on extending the coursematerial from a topic list by the laboratory Graduate Teaching Assistants (GTAs) and the courseInstructor. The students gain experience composing a scholarly article and produce a substantial paperthat reflects a deep understanding of a topic having narrow breadth. Extra Credit (EC) is allotted to thoselearners who go beyond the baseline requirements and explore additional papers in order to provide amore
, error bars that overlap reflectstatistically similar data whereas error bars that do not overlap reflect statistically different data.The asterisk denotes percentages that do not add to 100% due to some students not filling out aspecific demographic.Overall, environmental knowledge increased from the beginning to the end of EV300. This isnot surprising because EV300 is the course focused on learning environmental knowledge, andthis is in line with previous studies [8], [10], [11], [15], [25]. Initial assessments showed thatmales had more environmental knowledge than females, which has also been found in Robelia’sassessment of six previous studies. Statistically significant differences in knowledge wereremoved by the end of EV300, and although
upon work supported by the National Science Foundation under Grant No.1741611 Encouraging Civil Engineering Retention through Community and Self-EfficacyBuilding. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] "Infrastructure Report Card." American Society of Civil Engineers. (accessed 2 Feb., 2019): https://www.infrastructurereportcard.org/.[2] S. Hatch, Diversity by Design: Guide to Fostering Diversity in the Civil Engineering Workplace. Reston, VA: American Society of Civil Engineers, 2008.[3] "Criteria for accrediting engineering programs 2019-2020." ABET. (accessed 2
andindividualism [32]. In many individualistic cultures, practices reflecting the ethic resulted in self-esteem and a new spirit of enterprise, commitment, and excellence [49]. As defined in theHofstede study [35], the United States has low power distance, weak masculine, and weakuncertainty avoidance dimensions compared to the Arab nations, characterized as having highpower distance, strong masculine traits, and high uncertainty avoidance [35]. Elenkov [25]suggested that the culture-specific way people deal with lower power distance and uncertaintyavoidance is important and may be indicative of intra-country, i.e., economic activities within thecountry. Franke [27], and Hofstede [36] similarly noted that in general, rich nation’s scores showlow power