. Students then analyzed Energy ManagementOpportunities (EMOs), Green Energy Opportunities (GEOs) and life cycle costs and stated theirprioritized recommendations, including an evaluation of installed and possible future greenmeasures. Finally, during an oral presentation, the buildings, EMOs and GEOs were compared.Results were assessed through both student feedback and project quality. Students appreciatedthe realistic project and being able to look at energy efficiency and the economics ofsustainability. Projects were assessed by the instructor and 78% of the class had a B+ or higheron the project, exceeding expectations. The oral presentation had similarly positive results.IntroductionIn modern engineering design, green engineering and
National Science Foundation underGrant Number EEC- 1664231 through the Research in the Formation of Engineers program. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe authors and do not necessarily reflect the views of the National Science Foundation.References[1] Committee on STEM Education. (2018). Charting A Course for Success: America’s Strategy for STEM Education. Retrieved from https://www.whitehouse.gov/wp- content/uploads/2018/12/STEM-Education-Strategic-Plan-2018.pdf[2] Schell, W. J., & Hughes, B. E., & Tallman, B. (2018, June), Board 130: The Formation of Undergraduate Engineers as Engineering Leaders Paper presented at 2018 ASEE Annual Conference
3rd ed., Upper Saddle River, NJ: Prentice Hall, 1998[7] J. Jones, Integrated Logistics Support Handbook 3rd ed., New York, NY: McGraw Hill, 2006[8] “Can project management be defined? Program Management Institute [Online] Available: https://www.pmi.org/learning/library/project-management-defined-concept- 1950[9] National Research Council, Building a better NASA workforce: Meeting the workforce needs for the national vision for space exploration, The National Academies Press, Washing, DC, 2007.[10] S. A. H. McMullen, M. J. McMullen, K. L. Witcher, and B. D. Fiske, “Exploring current and projected skills and knowledge areas to meet U.S. commercial space industry needs,” in Proc of the AIAA SPACE
system (ground source heat pump) [1-2].The geothermal heat pump (HP) has the same components as the standard forced-air heat pumpsystem. It has an evaporator, compressor, condenser, expansion device, and a four-way valve thatallows the refrigeration cycle inversion. Those known as ground source heat pumps are among themost energy efficient systems available today for HVAC applications. Depending on geographicallocation, typical energy savings from a geothermal heat pump system are from 25% to 75% [1-2].Underground temperature values and approximate ground water temperatures in the United Statesare shown in Figure 3a-b. The geothermal energy available in the ground is essentially the energythat the earth has absorbed from the sun’s radiation. The
Paper ID #25912Using LEGO Mindstorms and MATLAB in Curriculum Design of ActiveLearning Activities for a First-year Engineering Computing CourseDr. Shelley Lorimer, Grant MacEwan University Shelley Lorimer is an Associate Professor in Engineering (BSEN) Transfer Program at MacEwan Univer- sity. She is an instructor in the introductory engineering courses as well. The BSEN program at MacEwan has grown from forty students since in started almost fifteen years ago, to the current 216 students. The majority of the students in the program transfer to second year engineering at the University of Alberta. Shelley is a graduate of
National Institutes of Health under Award NumberR25EB012963. The content is solely the responsibility of the authors and does not necessarilyrepresent the official views of the National Institutes of Health.References1 S. Purzer, N. Fila and K. Nataraja, "Evaluation of Current Assessment Methods in EngineeringEntrepreneurship Education", Advances in Engineering Education, vol. 5, no. 1, 2016.2 B. Przestrzelski and J. DesJardins, "The DeFINE Program: A Clinical Immersion forBiomedical Needs Identification", in American Society for Engineering Education ConferenceProceedings 2015, Seattle, 2015.3 B. Moyer, "Collaborative Efforts to Encourage Entrepreneurial Mindsets", in American Societyfor Engineering Education Conference Proceedings 2016, New
learning outcomes[1]. Some alternative approaches can be implemented to compare the effectiveness of the proposedrobot-based approach with that of the alternative approaches. The studies will need to be moreorganized and systematic.References 1. S. M. M. Rahman, V. J. Krishnan, V. Kapila, “Optimizing a teacher professional development program for teaching STEM with robotics through design-based research,” in Proc. of 2018 ASEE Annual Conference & Exposition, June 24 - 27, 2018, Salt Lake City, Utah, USA, Paper ID #21572, pp.1-20. 2. S. M. M. Rahman, S. M. Chacko, S. B. Rajguru, V. Kapila, “Determining prerequisites for middle school students to participate in robotics-based STEM lessons: a computational
MacDougall Saylor for her invaluable experience withsystematic reviews and guidance in developing the search protocol. References[1] S. Lipson, S. Zhou, B. Wagner, K. Beck, and D. Eisenberg, “Major Differences: Variations in Undergraduate and Graduate Student Mental Health and Treatment Utilization Across Academic Disciplines,” Journal of College Student Psychotherapy, 30(1), pp.23-41, 2015.[2] M. Schmidt and E. Hansson “Doctoral students’ well-being: a literature review,” International Journal of Qualitative Studies on Health and Well-being, 13(1), p.1508171, 2018.[3] J. Hyun, B. Quinn, T. Madon and S. Lustig, “Graduate Student Mental Health: Needs Assessment and
faculty usingcollaborative autoethnography [2] and collaborative inquiry [3]. The results obtained from thisinitial phase will then be explored more broadly in Phase II, by expanding our study populationto include other early career engineering education faculty. The combination of collaborativeautoethnography and collaborative inquiry methods allows us to highlight the diversity of ourtraining, perspectives, and goals [4]. More specifically, in Phase I, we seek to generate initialresponses to the following research questions: RQ1. What impact do early career faculty members hope to have within engineering education? RQ2. How do (a) institutional, (b) individual, and (c) disciplinary field and societal features influence
Spring 2017, only4.4 % of students had a perfect score on the AP, in Fall 2017 the number was 2.2 %, in Spring2018 it was 5.1 %, and in the Fall 2018, the number went up to 20.3 %. Perhaps the reason whysuch a small number of students get a perfect score on this AP is that the statements provided bythe AP are broad and some may be misunderstood.Table 3 – Percentage of students that marked statements as related to the greenhouse effect.Correct statements are indicated with an asterisk. Statement Fall 2018 Spring 2018 Fall 2017 Spring 2017 Average (n = 59) (n = 59) (n = 51) (n = 68) (n = 237) A* 96.6 98.3 92.2 100.0 96.8 B 0.0
parts a and c of theproblem. Lines 10-12 perform calculations to generate answers for parts b, d, and e. Lines 13 and14 define variables to be used by gnuplot: $omegaplot is in units of milliseconds for plotting, and$function is the function definition to be plotted. Note that all of the variables are Perl variablesexcept for “x”, which is the horizontal axis variable in the plot.Figure 8 shows the XML code that calls gnuplot. Line 22 defines general parameters, such as the Figure 8: XML code to call gnuplot and graph sine wavetype of plot, width, alignment, and font size to be used. The subsequent statements define theplotting range, axis labels, line style, and function to be plotted ($function from the Perl script).The
Conferences, June 2013, https://peer.asee.org/19352. [6] R. L. Avanzato, “Collaborative mobile robot design in an introductory programming course for engineers,” in 1998 Annual Conference. Seattle, Washington: ASEE Conferences, June 1998, https://peer.asee.org/6966. [7] D. Bolick, R. Drushel, and J. Gallagher, “Increasing accessibility to a first year engineering course in mobile autonomous robotics,” in 2005 Annual Conference. Portland, Oregon: ASEE Conferences, June 2005, https://peer.asee.org/14879. [8] T. Sharpe, R. Maher, J. Peterson, J. Becker, and B. Towle, “Development and implementation of a robot based freshman engineering course,” in 2005 Annual Conference. Portland, Oregon: ASEE Conferences, June 2005, https
was allowed to work on this assignment inpairs (same as the 2018 cohort in the redesigned course), while the 2016 cohort was required towork on this assignment individually. This difference in performance further motivates the moveto incorporate more collaborative assignments into this course. A BFigure 2. Assessment of Student Achievement on Major Course Assignments. (A) Students’performance on a major midterm project (as rated on a four-point scale) is presented as thepercentage of students who achieved a grade in each category for the ’16 (black), ’17 (grey), and’18 (white) offerings of the course. (B) Students’ performance on the final course examination ispresented as the raw average score for the cohort
) 1 from these two oils how many ounces of the second must be added to 10 ounces of the first in order for the dressing to have 14 % saturated fats.Table 1 (continued). Analysis of individual problems from chemical engineering 4. One thousand kilograms per hour of a mixture of benzene (B) 9.3 12.5 p=0.0169 and toluene (T) containing 50% benzene by mass is separated by (n=21) (n=34) distillation into two fractions. The mass flow rate of benzene in the top stream is 450 kg B/h and that of toluene in the bottom stream is 475 kg T/h. The operation is at steady state. Calculate the unknown component flow rates in the output streams. 5. Two methanol-water mixtures are contained in separate flasks. 4.8 11.88 p=0.0014
first five labs are mainly construction labs where students are developing practical, hands-onskills and gaining familiarity with common prototyping practices. These skills include (a)utilizing a 3-D printer in order to create the chassis, wheels, and sensor mounts, (b) disassembly,modification, and reassembly of two servo motors, and (c) assembly and soldering two custom-designed printed circuit boards (PCB)—totaling approximately 50 components and 200 solderpoints. Once all the subsystems are complete, they are screwed together, along with a batterypack and front contact sensing bumper.In the final six labs, the students systematically build-up the various digital designs needed inorder to autonomously control their individually-built mobile
Chinese faculty will be able to teach courses that will accommodatemost American students who are more comfortable with active learning.Interestingly, within the Chinese culture, students, parents, educators, and policymakers are allchallenged by the dominant image of Chinese education that is focused on “rote learning,memorization, examination, constant testing, large classes, competitive motivation, examination,authoritarian and didactic teaching and learning methods, passivity, and compliance” [19, p. 6].Unfortunately, the positive aspects of Confucian learning (e.g., focusing on deeper-level, self-reflective learning) mainly conceptualized by Western scholars such as David A. Watkins andJohn B. Biggs [20] are not very much appreciated by the
circumstances and in what ways can engaging students inmicro-reflection activities function as a site for professional development? Specifically, we 2wonder for a specific set of educators in a specific situation, (a) what micro-reflections are takenup?, (b) in what ways does the experience advance their teaching knowledge?, and (c) whatfeatures of the situation emerge as significant for appreciating the micro-reflections used and theadvancement of teaching knowledge identified?We explored these questions with an approach that combined three ways of knowing: ● a proof-of-concept mentality (a focus on exploring potentials and informing future
-going decisions they were making in their capstone designteams and to elaborate on their beliefs about the role of the three types of reasoning (rationalistic,empathic, and intuitive) for those decisions throughout the semester. The reflection prompt andinterview protocol can be found in Appendix A and B respectively. Participants werecompensated with a $20 gift card for their interview and a $10 gift card for each writtenreflection.Data AnalysisAfter collecting interviews and reflection prompts, we analyzed the data. Two members of theresearch team (Guanes and Thanh) individually coded them utilizing holistic and values codinglenses [26]. Holistic coding focuses on analyzing the data as a whole and identifying themes.Values coding focuses on
at least one criterion in the category” (1); “Adequate evidence to meet all three criteria inthe category” (2); and “Extensive evidence to meet at least two criteria” (3). The 5E ILPv2 rubricwas developed for use in evaluating teachers’ inquiry-based 5E lesson plans. The rubric containsa total of 21 items: three items for elaborate phase; four items for each phase of engage, explore,and evaluation; and six items for the explain phase. Each item is a Likert-type scale that rangesfrom 0-Unacceptable to 4-Excellent with a total of 84 points (see Appendix B).In this study, analyzing lesson plans using the rubrics provided opportunities for suggestions andfeedback for improvement to developers and it informs the development of new lessons by
,andhencecomputationalmethodsforprocessingimagedataareofcriticalimportance. Extracting useful information from raw images involves a broad range ofmathematical techniques and algorithms including but not limited to optimization,modeling, discrete algorithms, and methods for high‐level image understanding.Researchers are creating new algorithms in a range of applications, from astronomy, toreconstructing volume data from medical scans, to automatically reconstructing 3Dgeometryfrom2Dphotos.WeeklyAgenda:Week1IntroductiontoDigitalCameraandPhotographya. IntroductiontoDigitalPhotographyb. IntroductiontoCameras a. CameraSensors b. Lensesc. IntroductiontoMatlabImageProcessingToolboxd. CameraBasicse. FundamentalofDigitalImagesf. ColorPhotographyg. IntroductiontoPhotographyFilters Labs1
large area.There are numerous challenges in detecting wandering behavior: a) sensor data collected from amobile phone has a lot of noises which may not reflect the real route or motion of the dementiapatients, b) wandering behavior itself varies a lot, caused by not only the diversity of wanderingpatterns but also the individual difference. So, it is not easy to construct a uniform model thatdetects wandering behavior, and c) since human’s regular travel pattern sometimes also includeswandering like a pattern, it is hard for machines to distinguish between the two. Hence in ourapplication, for analysis, we have applied the following two techniques: a) one idea isrepresenting wandering traces as loops, the problem of wandering detection is
].The assignment given to the students as part (20%) of the weekly homework assignment was: For class on Wednesday October 17, please bring in your trash for the week--use the bag that was provided to you. Do not change your habits- only add that which you would be normally throwing away. *Please no perishable items (i.e. bananas) or identifying information (i.e. bills). a) Calculate each team member’s individual waste disposal for the week [lb/day] b) Calculate the average waste disposal per person per day for your group [lb/day] c) Using the below reference, compare your team’s average daily waste disposal to that of: i. San Diego County and the state of California ii. Your San Diego County
].5. B. Jaeger and E. LaRochelle, "EWB (2)-Engineers Without Borders: Educationally, a World of Benefits," in Proceedings of the 2009 ASEE Annual Conference & Exposition, 14-17 June 2009, Austin, TX [Online]. Available: ASEE Conferences, https://peer.asee.org/4961. [Accessed: 25 Jan. 2018].6. T. J. Kriewall and K. Mekemson, "Instilling the entrepreneurial mindset into engineering undergraduates," Journal of Engineering Entrepreneurship, vol. 1, no. 1, pp. 5-19, 2010.7. KEEN, "KEEN - Mindset Matters", Engineeringunleashed.com, 2018. [Online]. Available: https://engineeringunleashed.com/Mindset-Matters.aspx. [Accessed: 25 Jan. 2018].8. P. Singh and M. V. Moncada, "Instilling the Entrepreneurial Mindset by
quality process analysis and was offered as a technical elective in an engineering technologyand management program. The course included both traditional components (classroom lectures,homework, and in-class work), as well as the project component. Below is information related tothe scope of the project: 1. Each of the assigned projects was open-ended with no known solution 2. Engineering laboratories were utilized for making actual products. The three processes involved were: a. Thermoforming (plastics) b. Rotational molding (plastics) c. Additive manufacturing (3-D printing - plastics) It should be noted here that students engaged in a lab competency for any of the mentioned processes at the
. (2014). Resilience assessment for geotechnicalinfrastructure assets. Infrastructure Asset Management, 1(4), 95-104.[5] American Society for Civil Engineers (2009). The Vision for Civil Engineering in 2025.Reston, VA: ASCE.[6] Dong, J. and Chen, P. (2014). A Case Study: How Collaborative PBL Affects Learning ofMinority Students in Engineering Courses at Senior Level. ASEE Annual Conference &Exposition, Indianapolis, IN.[7] Fernandes, S. R. G. (2014). Preparing graduates for professional practice: findings from a casestudy of Project-based Learning (PBL). Procedia-Social and Behavioral Sciences, 139, 219-226.[8] Wu, W. and Hyatt, B. (2016). Experiential and project-based learning in BIM for sustainableliving with tiny solar houses. Procedia
option could be provided to expandthe filter size indefinitely or to have multiple filters16-20. The prototype is shown in Figure 1. (a) (b) Figure 1. Prototype Design with (a) Front view and (b) Side view The prototype device consists of one inlet and two outlets (one exhaust and one leading toa water tank). The inlet and outlets are all equipped with solenoid valves. Near the inlet and exhaustare carbon dioxide sensors that are constantly monitoring the concentration of CO2. In betweenthe inlet and outlets is a vacuum pump air compressor. The prototype design is a two-stage system:Adsorption and Regeneration. During the Adsorption stage, the inlet and exhaust solenoid
survey.“Engineering self-efficacy 1” indicates a student’s perception of their ability to earn an A or B inphysics, math, and engineering courses and succeed in an engineering curriculum while not givingup participation in their outside interests. The student’s perception of their ability to completeengineering requirements such as math, physics, chemistry and also their general ability to succeedin any engineering major is indicated by “engineering self-efficacy 2.”The MSLQ was designed and developed by a team of researchers from the National Center forResearch to Improve Postsecondary Teaching and Learning (NCRIPTAL) and the School ofEducation at the University of Michigan [24]. Consisting of 81 items, the 1991 version of theMSLQ has 15
theory. A case study is the study of a specific phenomenon bounded to a system thatcan be analyzed individually to understand the phenomenon under specific circumstances [14,15]. The process of competencies transfer in industrial engineering students was our case ofstudy. According to Merriam [14], some of the characteristics of a case study are: a. Particularistic: referring to the particular situation of the process of professional internships done by industrial engineering students from the [blinded for review] b. Descriptive: the final product of the study is a rich and dense description of the internship phenomenon c. Heuristic: gives rise to new meanings of the process of transfer of competencies in [blinded for review]´s
Society, 2015.[4] B. Swartz, S. B. Velegol, and J. A. Laman, “Three Approaches to Flipping CE Courses : Faculty Perspectives and Suggestions,” 120th ASEE Annu. Conf. Expo., 2013.[5] A. Lee, H. Zhu, and J. A. Middleton, “Effectiveness of flipped classroom for mechanics of materials,” ASEE’s 123rd Annu. Conf. Expo., no. May, 2016.[6] A. B. Hoxie, T. Shepard, and R. Feyen, “The Flipped Classroom : A Means to Reduce Cheating?,” 122nd ASEE Annu. Conf. Expo., no. Paper ID #11445, p. 16, 2015.[7] J. Laman, M. L. Brannon, and I. Mena, “Classroom Flip in a Senior-Level Engineering Course and Comparison to Previous Version,” in American Society for Engineering Education, 2012.[8] G. S. Mason, T. R. Shuman, and K
what was going on and successfully completing the tasks. Also in Classroom A thelead teacher was not the only one leading the class; aids would also pitch in with instructions andguidance. Classroom B was presented information at a much faster pace. Students in the focusgroups noted the instructor talked fast, so students in that room were getting lost more frequentlyand relied heavily on the classroom aids to help them one on one. Classroom B had one extra pairof students so all aids couldn’t help everyone at the same time. We also noticed that Classroom Bwas louder than Classroom A as so many different side conversations were going on. Bothclassrooms were able to complete the given tasks, only one group struggled to finish their finalproject