practitioners, to enrich the academic process by bringing the practice into the classroom. After Foundation Engineering was over, and the final course grade was out, a“questionnaire” was sent to those who enrolled in the class seeking their opinions, evaluations,and any comment(s) they may wish to offer. Twenty six out of a total of 30 students returned the“questionnaire” on time! The opinions expressed and comments made were, by and large,positive to say the least. After regrouping, and rephrasing to correct the English language; thecomments offered by the ex- students, could be summarized as follows: The adjunct was easy to approach every time and everywhere, and was always helpful, His input into the course has dramatically
: 10.1080/19378629.2018.1550785.[16] R. Gutiérrez ”Why Mathematics (Education) was Late to the Backlash Party: The Need for a Revolution,” Journal of Urban Mathematics Education 10(2): 8–24, 2017.[17] D. Haraway “Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective.” Feminist Studies 14(3):575-599, 1988.[18] E.A. Cech and H.M. Sherick, “Depoliticization and the Structure of Engineering Education,” in International Perspectives on Engineering Education, S. Christensen, C. Didier, A. Jamison, M. Meganck, C. Mitcham, and B.Newberry, Eds. Cham, Switzerland: Springer, 2015, pp. 203-216.[19] W. Faulkner, “‘Nuts and bolts and people’: Gender-troubled engineering identities,” Social Studies
., Bouktache, E., Embedded System Design with Microchip’s 16F88 Microcontroller, 2008 ASEE Annual Conference & Exposition, Pittsburgh PA, pp. 13.482.1- 13.482.8.13. "ArduinoBoardDue". Arduino.cc. Archived from the original on 2013-01-17. Retrieved 2013-01-1814. Sentance, S., Waite, J., Hodges, S., MacLeod, E., & Yeomans, L. E. (2017), Creating Cool Stuff - Pupils' experience of the BBC micro:bit, Proc. 48th ACM Tech. Symposium on Computer Science Education: SIGCSE 2017 https://doi.org/10.1145/3017680.301774915. Mudrova, L., Jahoda, V., Porges, O., Krajnik, T., An omnidirectional mobile robot for large object handling, Proc. 2011 Research and Education in Robotics-EUROBOT, Prague, Czech Republic, pp.210.16. Hass, K., Joseph
solutions, 5) build/ program/complete a working model orprototype of the best solution or best two or three solutions, 6) test and validate the solution(s) toidentify problems, and 7) redesign and retest until a good working model of the solution isdeveloped. Included in the selection process (step 4) is a detailed engineering economics analysisand, if appropriate, statistical analysis. A compromise clearly must be struck between achievingas many of these objectives as possible and actually being able to secure projects. If cost, forexample is not an issue, then a class-wide, competitive project can be devised that accomplishesmost of these goals, although the time available for step 7 above is limited by the length of thesemester. A project idea
teach and assess this concept in hisclass. Also, the Center for Writing at Florida Atlantic University provided great feedback.X. References[1] P. Peebles, “Probability, Random Variables, and Random Signal Principles,” McGraw-Hill Science/Engineering/Math, 2000.[2] S. Takahashi, “The Manga Guide to Statistics,” No Starch Press, 2008.[3] B. Orlin, “Math with Bad Drawings,” Black Dog and Leventhal Publishers, 2018.[4] D. Huff, “How to Lie with Statistics,” W. W. Norton & Company, 1993.[5] S. Campbell, “Flaws and Fallacies in Statistical Thinking,” Dover Publications, 2004.[6] A. Gelman and D. Nolan, “Teaching Statistics: A Bag of Tricks,” 2002.[7] D. Rumsey, “Statistics for Dummies,” For Dummies, 2016.[8] C
, instructional designers, and administrators.IntroductionConsiderable research focuses on the course structures, course content, and specific teachingpractices within first year courses and programs. However, much less research focuses on thedevelopment of such courses and programs and how they evolved to the current state. One of thefew studies that reported this process was conducted by Froyd and Rogers [1] in the 90’s thatanalyzes the process of development and creation of a first year engineering program, and therehave not been more significant studies since then that focus on first year engineering programs.We consider that research describing the process of development and improvement of first yearprograms is important and necessary in engineering
Industrial Engineering and Applications (ICIEA), April 21-23, 2017, Nagoya, Japan, pp. 275-278.[4] O. Lawanto and A. Febrian, “Student self-regulation in Capstone design courses: A case study of two project teams,” in Proc. IEEE Frontiers in Education Conference, Oct 12-15, 2016, Erie, PA, pp. 1-5.[5] W. Lee, “Assessment of self-regulated learning in senior capstone design,” in Proc. 8th Annual Process Education Conf., June 14-17, 2018, Erie, PA, pp. 1-8.[6] M.M. Vázquez, M.C. Rodríguez, and M.L. Nistal, “Analysis of Self-Regulated Learning Strategies Oriented to the Design of Software Support,” in Proc. 2014 Frontiers in Education Conf. (FIE), Oct. 22-25, 2014, Madrid, Spain, pp. 1-9.[7] K. Arnsdorff, A. Chen, R. McCord, and S
Margolis and colleagues demonstrated in2010 that an unnamed high school in east Los Angeles, near or in the Boyle Heights region, hadsufficient computer technology but lacked CS courses that required critical thinking. SinceMargolis et al.’s landmark study, LAUSD has made progress in addressing this disparity. In 2016,LAUSD’s Instructional Technology (IT) Task Force recommended “[p]rofessional learningopportunities for all stakeholders [are] imperative to educate leaders on how to incorporate digitallearning tools and how to adapt instruction to the opportunities afforded by digital tools” 11 . Since2019, LAUSD has become the first district in the nation to adopt ISTE Student Standards and tojoin forces with California Emerging Technology Fund for
possible that differencesobserved between sections is due not to the performance of teams but to the instructor(s) whosestudents examined those teams. We spoke to the faculty prior to their use of the rubric tohighlight each of the items and what they were intended to measure. The faculty have alsoworked extensively with the course’s project rubrics and hence the authors feel comfortable withwhat should be looked for in student’s report when grading.ConclusionsWe implemented a project related to the design of children’s toys, that leverage the principles ofUniversal Design, in a multidisciplinary, first-year engineering course. The project alsointentionally integrated aspects of EM by incorporating them into the overall project learningoutcomes
the end-of-course review process. Any flag in assessment must have a documented discussion about it, whether it includes anyrecommended course improvements or not. It was decided to have two levels of flags for low performance, and onlyone for high performance in order to not oversaturate the process. The green flags are good for indicating what maybe excessively high grades and their implications, but between a 2.0 and 2.75 EAMU Average computes to an averagegrade in the 80’s, and this is not considered excessively high, particularly since the institution is considered “highlyselective.” The flags being triggers for discussion ensures that ABET assessment is directly tied to curricularcontinuous improvement. Flags are also addressed in the
randomly selecting threeassignments from each of the 18 discussion sections. We first identified the type of activitiesstudents completed most frequently. Following a constant comparative method analysis, we thenidentified salient themes related to two broad categories: a) reasons to choose a specific type ofactivity and expectations of potential learning from it; and b) gains from the experience,expressed in terms of expectations being met, benefits obtained or learning generated byaccomplishing the task(s).Results & DiscussionMid-Semester Feedback Session & SurveyDuring the MSF session, 23 out of 58 small groups of students reported that homeworkassignments were a strength of the course, specifically identifying Homework #7
percentage of engineering students, and no guarantees regardingfuture Project Categories, a more systematic and strategic method for Capstone team formationmight be required. This could include recruiting specific types of projects, forming singlediscipline teams when beneficial, and attempting to maintain a balance between enrollment inengineering and engineering technology degree programs.6. References[1] R. Vaz, “High Impact Practices Work.” Accessed: January 26, 2020. [Online]. Available:https://www.insidehighered.com/views/2019/06/04/why-colleges-should-involve-more-students-high-impact-practices-opinion[2] W.N. Bender, Project-Based Learning: Differentiating Instruction for the 21st Century.Thousand Oaks, CA: Corwin Press, 2012.[3] S. Boss and
problem in its simplest terms and “fix” it without understanding what the issue really is or if it [i]s an issue at all. I think deep listening is an essential tool for being an engineer. We have to learn to listen, to understand things deeply and from multiple perspectives, and then approach the problem with all these things in mind. 7Another student expressed similar sentiments about the need for empathy and perspective takingfor engineering to have positive impacts: Engineers need to be more than tech-smart, we need to be able to empathize and connect with the world, see it for what it truly is and
characteristics,” Retrieved January, vol. 12, p. 2010, 2008.[8] M. R. Hammer, M. J. Bennett, and R. Wiseman, “Measuring intercultural sensitivity: The intercultural development inventory,” Int. J. Intercult. relations, vol. 27, no. 4, pp. 421–443, 2003.[9] S. Guth, “The COIL Institute for Globally Networked Learning in the Humanities,” Final report. New York, NY SUNY COIL Cent., 2013.[10] B. Chandra, K. Landa, R. Smolar, R. Mukherji, P. P. Torcivia, and S. Jagendorf-Sobierajski, “Cross-Cultural Experiential Learning Evaluation Project,” 2013.[11] M. L. Loughry, M. W. Ohland, and D. DeWayne Moore, “Development of a theory-based assessment of team member effectiveness,” Educ. Psychol. Meas., vol. 67, no. 3, pp. 505
their help and make specific requests for all aspects of the project. There will be somecasual advice provided, but it is the students’ responsibility to seek the information they need tomake progress. Table 1. Due Dates and Assessment Weighting for Formal Course Deliverables. % of Due Date(s) Deliverable Final Location Mark Friday Project Site Visit -- Project Site Week 2 Friday Technical Scope and 10 Submitted electronically Week 3 Project Proposal Friday
. W. Aulls, H. Dedic, K. Hubbard, and N. C. Hall, “Exploring Student Persistence in STEM Programs: A Motivational Model,” Can. J. Educ. / Rev. Can. l’éducation, vol. 38, no. 1, pp. 1–27, Jan. 2015.[3] Y. Xie, M. Fang, and K. Shauman, “STEM Education,” Annu. Rev. Sociol., vol. 41, no. 1, pp. 331–357, Aug. 2015.[4] J. Katsillis and R. Rubinson, “Cultural Capital, Student Achievement, and Educational Reproduction: The Case of Greece,” Am. Sociol. Rev., vol. 55, no. 2, pp. 270–279, Jan. 1990.[5] M. K. Orr, N. M. Ramirez, and M. W. Ohland, “Socioeconomic Trends in Engineering: Enrollment, Persistence, and Academic Achievement,” in American Society for Engineering Education, 2011.[6] S. K. N
IEEE 12th Digital Signal Processing Workshop 4th IEEE Signal Processing Education Workshop, pp. 456–459, Sept 2006.[2] S. H. Mousavinezhad and C. Xu, “Ece teaching and learning: Challenges in teaching digital signal processing,” in 2017 ASEE Annual Conference & Exposition, (Columbus, Ohio), ASEE Conferences, June 2017. https://peer.asee.org/28195.[3] P. Lifshits, A. Eilam, Y. Moshe, and N. Peleg, “Dsp in heterogeneous multicore embedded systems - a laboratory experiment,” in 2014 22nd European Signal Processing Conference (EUSIPCO), pp. 2495–2499, Sept 2014.[4] K. D. Coonley and J. Miles, “Upgrading digital signal processing development boards in an introductory undergraduate signals and systems course,” in 2015 ASEE Annual
, July 20-23, 2009. Curran Associates, Inc., pp. 247-252.[3] J. Sweller, “Cognitive load during problem solving: effects on learning,” Cognitive Science, vol. 12, n. 2, pp. 257-285, April 1988.[4] Y. Tang and H. Bai, “Develop a better way to practice to enhance students’ experience in learning dynamics,” in Making Value for Society: Proceedings of the 122nd Annual ASEE Annual Conference and Exposition, Seattle, WA, June 14-17, 2015.[5] D. Hesterman, S. Male, and C. Baillie, “Some potential underlying threshold concepts in engineering dynamics,”. Australasian Association for Engineering Education Conference 2011, Fremantle, Western Australia.[6] R. Hibbeler, Engineering Mechanics: Dynamics, 14th Edition
controllers of the system, the type of data can be collected, andwhere the data can be collected. Data sources need to be identified when any type of attackperformed to the system. Needless to say, documentation of the actions taken during this phase iscritical and essential for a forensically sound investigation.Phase 3- Preservation, Prioritizing, and Collection: In this phase, the identified data is collectedfrom the known locations, and it is preserved and prioritized for the purpose of repeatability andpresentation. In this phase, it is also critical to collect volatile data as it might be destroyed easily.For instance, data can be collected from databases, computer workstation(s), PLC, etc.Phase 4- Examination: The purpose of this phase is the
. Innovative Course Modules for Introducing ECE to Engineering Freshmen. 2016 ASEE Annual Conference & Exposition, June 2016. ISSN 2153-5965. [3] Charles Carlson and Dwight Day. Transformation of an Introductory Computer Engineering Course Utilizing Microprocessors and a Focus on Hardware Limitations. 2017 ASEE Annual Conference & Exposition, June 2017. [4] Dhananjay V. Gadre, Ramesh S. Gaonkar, Nikhilesh Prasannakumar, and Sneha N. Ved. Embedded Systems and Internet of Things (IoTs) - Challenges in Teaching the ARM Controller in the Classroom. 2017 ASEE Annual Conference & Exposition, June 2017. [5] Samuel J. Dickerson. Introducing the Internet-of-Things to the Next Generation of Engineers. 2017 ASEE Annual
𝑑𝑑𝑑𝑑the angular velocity, 𝜔𝜔, as well as to the angle θ of the motor shaft. Since 𝜔𝜔 = 𝑑𝑑𝑑𝑑 it means thatthe relationship at all times between 𝜔𝜔 and θ is differentiation or integration depends on how welook at it. By plotting the input voltage V𝑎𝑎, and the outputs ω, and θ of the DC motor we get a clearvisualization of integration and differentiation (Figure 19).Figure 19: Relation between angular velocity and angular position of a DC motorAfter transforming the equations to the s-domain and then to block diagram we obtain (Figure20): Figure 20: Integrator block diagram – DC motorTo complement the understanding of
in Section 4.0 from the McGraw Hill Connectmaterials, which are reused with permission of McGraw Hill Education / S&P Global, Inc. Theauthors also acknowledge the facilities, equipment, and support of the REDACTED.References1. Snyder, T.D., C. de Brey, and S.A. Dillow, "Digest of Education Statistics 2014, NCES 2016-006," National Center for Education Statistics, 2016. Table 325.47.2. Jamil, M., R. Tariq, P. Shami, and B. ZAKARIYS, "Computer-based vs paper-based examinations: Perceptions of university teachers," TOJET: The Turkish Online Journal of Educational Technology, 2012. 11(4).3. Thelwall, M., "Computer-based assessment: a versatile educational tool," Computers & Education, 2000. 34(1): p. 37-49.4
. Journal of Engineering Education, 97(1), 27-36.[6] Retrieved from https://www.colorado.edu/oda/institutional-research/student-data/retention-graduation-rates-and-time-degree/undergraduate[7] Knight, D. W., Carlson, L. E., and Sullivan, J. F. (2003, June). Staying in engineering:Impact of a hands-on, team-based, first-year projects course on student retention. ASEEConference and Exhibition.[8] Huq, N. A., Xu, W., Movafaghi, S., and Hemmati, M. (2017). Evaluating the effectiveness ofimplementing active learning opportunities for first year engineering students who are takingmath, physics, and chemistry, 2017 ASEE Annual Conference & Exhibition.[9] Krause, S. J. (2015). Factors Impacting Retention and Success of UndergraduateEngineering Students
Energy Industries. Proceedings of the ASES Annual ConferencePortland, Oregon. (2004)[13] J. Cleary and A. Kopicki. Preparing the Workforce for a Green Jobs: Economy. HeldrichCenter for Workforce Development (2009). Available at:https://www.issuelab.org/resource/preparing-the-workforce-for-a-green-jobs-economy.html[14] S. White, l. Dresser, and J. Rogers. Greener Skills: How Credentials Create Value in theClean Energy Economy. Center on Wisconsin Strategy (2010). Available at:https://www.cows.org/_data/documents/1124.pdf[15] S. White, L. Dresser, and J. Rogers. Greener Reality: Jobs, Skills, and Equity in a CleanerU.S. Economy. Center on Wisconsin Strategy (2012). Available at:https://www.cows.org/_data/documents/1306.pdf[16] P. Jennings. New
Research Data Management Course Content: Teaching the Data Management Plan (DMP). in 2018 ASEE Annual Conference & Exposition. 2018. Salt Lake City, UT.28. Madihally, S., Reviving graduate seminar series through non-technical presentations. Chemical Engineering Education, 2011. 45(4): p. 231.29. Burrows, V. and S. Beaudoin, A Graduate Course in Research Methods. Chemical Engineering Education, 2001. 35(4): p. 236.30. Ollis, D., The Research Proposition. Chemical Engineering Education, 1995. 29(4): p. 222.31. Ollis, D., Catalyzing the Student-to-Researcher Transition: Research Initiation and Professional Development for New Graduate Students. Chemical Engineering Education, 2016. 50(4): p. 221-229.32
[BLINDED FOR REVIEW]. Students in the program participate voluntarily in research projects lead bymentors who are part of the academic staff of the department. The Icarus Program was developed with threeprimary goals: • to boost undergraduate student interest and experience in diverse and interdisciplinary projects; • to foster close collaboration between academic mentors and small groups of students, and • to leverage this engagement to elevate student learning pathways, student career outcomes, and [BLINDED FOR REVIEW]’s national and international reputation for producing the leaders of tomorrow. The Icarus program was created on several premises: 1. Research
theoutcome, but also a sense of ownership or internal valuing of the outcome. Hence the committeeresurrected idea of assessing each outcome in the affective domain, using the Taxonomy ofEducation Objectives Volume II - Affective Domain [7] as a guide.Educational TaxonomiesFrameworks for assessing intellectual and emotional development have existed since at least thelate 1800s, but a common framework and language that defined activities and concepts toeffectively classify and assess intellectual and emotional development across the disparategroups in education did not exist [8]. In the mid-twentieth century a group of educationalexaminers, led by Benjamin S. Bloom, committed themselves to create this common framework.They met annually as a working
. Background information on the problem. The “Problem Statement” (state the problem as a set of facts). The “Creative Challenge” (state the problem as a question). The best creative solution to the problem. The alternative solution (second best solution) to the problem. A written description of the physical model representing the problem and solution. The main idea generation technique(s) used to stimulate the imagination for solving the problem. A sketch of the physical model.(2) Second, students were required to visualize and create a Physical Model (made primarily ofPopsicle Sticks) representing the problem and solution to that problem. The requirements for theModel: 1. 70%-100% of the Model must be