bioengineering courses. Int. J. Scholarsh. Teach. Learn. 4, 1–11 (2010).3. Light, G., Calkins, S., Luna, M. & Drane, D. Assessing the impact of a year-long faculty development program on faculty approaches to teaching. Int. J. Teach. Learn. High. Educ. 20, 168–181 (2008).4. McKenna, A. K., Yalvac, B. & Light, G. J. The role of collaborative reflection on shaping engineering faculty teaching approaches. J. Eng. Educ. 98, 17–26 (2009).5. Finelli, C. J., Daly, S. R. & Richardson, K. M. Bridging the research-to-practice gap: Designing an institutional change plan using local evidence. J. Eng. Educ. 103, 331–361 (2014).6. Wenger, E. Communities of practice: Learning, meaning, and identity. (Cambridge University
relevance (specific to an engineer’s required understanding of the subject) 4. Evaluate for creativity (is the question contextualised? Authentic? Realistic? Higher order? Is this an excellent way to assess this knowledge/ability? Is the wording ideal?) 5. Solve – what answers might students provide? What is acceptable? What if any partial credit will be awarded? 6. Provide feedback: a. Identify and state the problem/s with the item b. State why it is a problem c. Suggest how the item could be rephrased d. State how the revised suggestion is better than the original 7. Pairs then review and evaluate the items brought to the workshop. Pairs decide whether the item would be suitable as
. When the 10-minute timer rang, all of the teams’ reports were collected and theinstructor facilitated a debriefing discussion about the ethics of data collection, including theprompts shown in Figure 4. The debriefing lasted about 30 minutes, and afterwards studentsworked in their teams to review two case studies on the ethics of data collection drawn fromwork by Branchaw, Pfund and Rediske17 and the National Academies;18 the case study handoutsused in this exercise are included as Appendix B. Approximately 30 minutes was allocated tothis review of the case studies in small groups, with a final 10-minute large group discussion onthe case study scenarios. (The remaining 10 minutes of the 90-minute seminar was used for“housekeeping” tasks like
think your engineering background influences the way you teach? ❏ Yes ❏ No26. If yes, please explain:27. What is the impact of engineers that become teachers? (Please give examples, if you have any.)Appendix B: CU Teach Engineering Focus Group Questions1. Why did you choose to pursue engineering and teaching? a. What are your goals and passions that inspire you to be a teacher and an engineer? b. Is it hard to study both engineering and teaching?2. What is the impact of engineers that become teachers? a. Describe
Learning Classrooms and Educational Alliances: Changing Relationships to Improve Learning. New Directions for Teaching and Learning, (137), 27–40. doi:10.1002/tl[2] Barrett, P., Zhang, Y., Moffat, J., & Kobbacy, K. (2013). A holistic, multi-level analysis identifying the impact of classroom design on pupils’ learning. Building and Environment, 59, 678–689. doi:10.1016/j.buildenv.2012.09.016[3] Barron, B. (2003). When Smart Groups Fail. Journal of the Learning Sciences, 12(3), 307–359. doi:10.1207/S15327809JLS1203_1[4] Barron, B., & Darling-Hammond, L. (2008). How can we teach for meaningful learning? In L. Darling- Hammond (Ed.), Powerful Learning: What we know about teaching for understanding (pp. 11–70). San
-targetedgroup of students. However, the numbers of minority students are low and retention rates havea high variance. a) b)Figure 2. Overall Retention to Engineering Department by gender. N represents the total number of engineeringstudents per group. The large arrows indicate when new freshman introductory engineering courses began, andwhen an introductory engineering course became a requirement. The dotted lines represent a three year rollingaverage. a) This graph illustrates the overall average retention rate (percent retained) of all male (red line) vs.female (blue line) engineering freshman since 1985. b) This graph illustrates the overall average retention rate(percent retained) of all targeted minority (blue line) vs. non-targeted (red line
research topic addressed either: (a) a unique aspect of the recently-published “tin-can” solarpower satellite; or (b) an issue expected to be of concern to the general public. The topics were: 1. Wireless Power Transfer with low side-lobe intensity – needed to avoid desense of terrestrial communications equipment and spectra. 2. Atmospheric Attenuation and Heating – important for comparisons to fossil fuel plants vis-à-vis global warming. 3. Rectenna Design and Emplacement – studying land-use changes, environmental impacts, and costs for receiving antenna arrays in temperate latitudes. 4. Structural Design of SPSs - structural framework and guy wires for a very large, rotating cylindrical shell held in tension to
no knowledge and 5 as complete knowledge), prior knowledge of numerical methods (1 as noknowledge and 5 as complete knowledge), final grade in the course (4.0-A, 3.7-A-, 3.3-B+, 3.0-B, 2.7-B-, 2.3-C+, 2.0-C, D-1.0, F-0.0). An ordinal logistic regression model was generated topredict the rating of disruption with the same variables as the correlation analysis listed above.ResultsBoth classes were surveyed at the end of the semester and given extra credit for performing thesurvey. The overall response from students on the survey was 98% for the 1st year course and87% for the 4th year course. The students were asked to rate their knowledge of the material inthe courses prior to the semester (Table 1). The median rating of previous course
. P., “An interactive MATLAB-based tool for teachingclassical systems and controls,” IEEE Frontiers in Education Conference, Vol. 2, 1996, pp. 624-627.6 Campbell, D., Palomaki, K., and Brown, G., “A Matlab simulation of “shoebox” room acoustics for use in researchand teaching,” Computing and Information Systems,” Vol. 9, No. 3, 48, 2005, pp. 48-51.7 Bowen, J. D., and Price, C. E., “An automated grading system for teaching MATLAB to freshman engineers,”Proceedings of the 2003 American Society for Engineering Education, 2003.8 Daku B., L., F., and Jeffrey K., D., “An Interactive Computer Based Tutorial for MATLAB,” IEEE Frontiers inEducation, Kansas City, MO, Nov. 2000.9 Daku B., L., F., and Jeffrey K., D., “Development of an interactive CD-ROM
Paper ID #14907Neuroscience 101: Might Your Teaching and Their Learning Benefit?Dr. Stuart G. Walesh P.E., S. G. Walesh Consulting Stuart G. Walesh, Ph.D., P.E., Dist.M.ASCE, and F.NSPE (stuwalesh@comcast.net, www.helpingyouengineeryourfuture.com) is an author; teacher; and an independent consultant providing leadership, management, and engineering services. Prior to beginning his consultancy, he worked in the public, private, and academic sectors serving as a project engineer and manager, department head, discipline manager, marketer, legal expert, professor, and dean of an engineering college. Walesh’s technical
obtained real steady state error (14,533%) is nearly the desired steady stateerror (15%)The proposed approach is also applied to Kirchhoff’s Laws experiments forundergraduate students in electrical circuit course.For this experiment the following services are available:Service 1: Measurements of Voltages. With this service for a given circuit the interestednodes are shown on the circuit. In order to measure voltage across given nodes, the userhas to: a) Select the appropriate nodes (number and polarity for each node); b) Select the amplitude of the voltage source to be applied to the circuit; c) Read the correspondent value on a numerical indicator.Service 2: Measurements of currents. With this service, for the nodes
instructors find, therecan be pushback or resistance on the part of the student to accept the new teaching practiceswhenever different or new instructional methods are introduced. This resistance can be exhibitedby a variety of behaviors that can impede the learning of not only the resistant student, but alsoother students in the class. As teaching practitioners and researchers, our goal in conducting this study was topromote active student knowledge construction by exploring how and why students resist anasynchronous, web-based active learning strategy. In this study, online forum participation wasconsidered to be an active learning activity because it a) encouraged student-initiated questionand answer style dialogue with the instructor and b
Paper ID #16152”Give Me Every Idea You Have”: Building with Improvisation in Engineer-ing EducationDr. Stephanie Pulford, Center for Engineering Learning and Teaching (CELT) Dr. Stephanie Pulford is an instructional consultant and research scientist within University of Washing- ton’s Center for Engineering Teaching & Learning, where she has coordinated the Engineering Writing & Communication Development Program. Dr. Pulford’s professional background in engineering includes a Ph.D. in Mechanical Engineering, an M.S. in Engineering Mechanics, and a B.S. in Aerospace Engineer- ing as well as industry experience as
. The difference betweenthe rotation rate and frame rate leads to the perception that the forward moving wheel is movingbackwards (or slowly forward). This is illustrated by Figure 27. (a) (b) Figure 27 – The Wagon Wheel Effect18 Figure 27a shows what appears to be a counterclockwise rotating wheel. However, this issimply an illusion caused by the relationship of the rotation rate and frame rate. Figure 27bshows the actual motion of the wheel. As the wheel rotates clockwise, a frame is taken.However, since the rotation rate is higher than the frame rate, it appears as if the wheel movedcounter clockwise due to the
: Historical BackgroundMuch consideration, both in the U.S. and internationally, has been given to lifelong learning asevidenced by thousands of published papers and journals devoted either entirely or in part to thetopic, organizations focused on promotion of lifelong learning, and institutions and agencieswhich sponsor centers in support of it.2 Reasons for emphasis on lifelong learning include a)sustaining lifelong learning processes is directly related to the living standards of citizens andtheir quality of life,9 b) lifelong learning is a means of providing people with the knowledge andskills needed to succeed in a rapidly changing world,7 c) there is an explosion of ICT whichenables knowledge to be produced at a rapid and an ever-increasing rate
also include socialactivities to show that college can be fun, too.The Computer and Information Technology department actively participates in these outreachprograms. A variety of activities designed by faculty, undergraduate, and graduate students havebeen used in these sessions over the past ten years. Some example sessions included the use ofthe following tools: 1. Web page development (static HTML to dynamic ASP.NET) 2. Social media tools through a Twitter-enabled game 3. Programming languages a. Alice b. Scratch c. Scratch 4 Arduino d. C# 4. Physical computing a. Arduino board b. Phoenix Contact Nanoline microcontrollerThe remainder of this paper will present the
limitedincrease (both increases are not significant). This outcome is mainly due to fact that the onlinestudents have already high levels of individual interest in teamwork mainly because of their real-life work experience. Spring 2016 Mid-Atlantic ASEE Conference, April 8-9, 2016 GWU(a) Individual Interest (b) Engagement Interest Figure 1. Growth of interest in the face-to-face and online students across their academic standing.These findings have important ramifications for the main research objectives of this paper. Firstand foremost, we can use Interest as a reliable construct to assess teamwork proficiency. Aspredicted by MDL, learners acquire teamwork knowledge
) London: Springer-Verlagp. 2[5] Henson, Aaron B.; Fridley, Kenneth J.; Pollock, David; and Brahler, C Jayne, "Efficacy of Interactive Internet-Based Education in Structural Timber Design" (2002). Faculty Publications - Department of Mechanical and CivilEngineering. Paper 39. http://digitalcommons.georgefox.edu/mece_fac/39[6] Black, R.G., and Duff, S. A model for Teaching Structures: Finite Element Analysis in Architectural Education.Journal of Architectural Education, Vol48, no 1, September 1994[7] S. Vassigh. (2005). Interactive Structures: Visualizing Structural Behavior. CD-ROM, John Wiley and Sons,Hoboken NJ[8] Blum, J. Roof Insulation R-Values for Commercial Buildings under ASHRAE and “Above code” Standards.http://www.rci-online.org
, M. S., & Sanders, B. (1993). Is the gender difference in mental rotation disappearing? Behavior Genetics, 23(4), 337–41.8. Hamilton, C.J. (1995). Beyond sex differences in visuo-spatial processing: The impact of gender trait possession. British Journal of Psychology, 86(1), 1-20.9. Moe, A. (2009). Are males always better than females in mental rotation? Exploring a gender belief explanation. Learning and Individual Differences, 19(1), 21–7.10. McGee, M. G. (1979). Human spatial abilities: Psychometric studies and environmental, genetic, hormonal, and neurological influences. Psychological Bulletin, 86, 889–918.11. Immekus, J. C., & Maller, S. J. (2010). Factor structure invariance of the Kaufman Adolescent and Adult
any additional outcomes that the program wishes toarticulate. The current mechanical engineering student outcomes are: a) an ability to apply knowledge of mathematics, science, and engineering b) an ability to design and conduct experiments, as well as to analyze and interpret data c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability d) an ability to function on multidisciplinary teams e) an ability to identify, formulate, and solve engineering problems f) an understanding of professional and ethical responsibility g) an ability to
which are fruitful in considering technology inengineering education: (a) cognitively oriented technology innovations, (b) technology uses inprofessional practice, and (c) technology-general. We believe that there is risk for cross-talk inthe conversation when different interlocutors implicitly argue from different lenses. Thus, wemake these lenses explicit.Cognitively oriented technology innovationsFirst, we consider what Fishman and colleagues4 call cognitively oriented technology innovations(COTIs), innovations designed to foster deep thinking and meaningful learning. COTIs arelearning technologies developed around instructional design that is specifically “rooted incognitive and constructivist learning theories” (p. 45). With COTIs
Paper ID #16287Learning Engineering and Teaching Engineering: Comparing the Engineer-ing Epistemologies of Two Novice Teachers with Distinct Pedagogies of DesignKristen Bethke Wendell, Tufts University Kristen Wendell is Assistant Professor of Mechanical Engineering and Adjunct Assistant Professor at Tufts University, where she is also a Faculty Fellow at the Center for Engineering Education and Outreach.Ms. Jessica E. S. Swenson, Tufts Center for Engineering Education and Outreach Jessica Swenson is a graduate student at Tufts University. She is currently pursuing a Ph.D. in mechanical engineering with a research focus on
author is happily willingto disseminate all Concept Quiz prompts to any faculty interested in use of the method (they arenot explicitly published here to avoid students accessing quiz prompts through ASEE’s website);please email the author at –redacted during ASEE review phase–.Bibliographic Information1. B. Brooks, D. Gilbuena, J. Falconer, D. Silverstein, R. Miller, M. Koretsky. Preliminary development of the AIChE Concept Warehouse. Reviewed 2012 ASEE Annual Conference Proceedings, Paper ID AC 2012-4310 (2012).2. M. Koretsky, J. Falconer, B. Brooks, D. Gilbuena, D. Silverstein, C. Smith, M. Miletic. The AIChE Concept Warehouse: a web-based tool to promote concept-based instruction. Advances in Engineering Education 4 (1), 1-27
. A. Mohammed, "Design and Hardware Implementation of Laboratory-Scale Hybrid DC Power System for Electrical Engineering Education Purposes", 2015 ASEE Annual Conference & Exposition, paper #12974, Seattle, Washington.9. Curricular Focus. ABET. Retrieved20 May 2012, available at "www.abet.org/accreditation/new- to-accreditation/engineering-vs-engineering-technology/"10. R. M. M. Azizur, “National Electrical Code in Power Engineering Course for Electrical Engineering Curriculum”, US-China Education Review B 1 (2011) 46-52
science concepts that relate to the context of the design problem. Thisprior knowledge improves design performance and prompts inquiry learning 1.Crismond and Adams propose the Informed Design Teaching and Learning Matrix as acomparison between novice and informed designers1. We adopt the [matrix] as a framework toidentify patterns in the student artifacts that can help us determine if informed design is beingdisplayed. The Crismond and Adams framework identifies nine design strategies that designers –both beginners and informed – typically engage with and specify behaviors that are indicative ofboth novice and informed designers. These are (a) understand the design challenge (problemsolving vs. problem framing), (b) build knowledge (skipping vs
Robot-ics course is the accumulation of robots over time. Through a combination of grants, industrialdonations (gifts-in-kind), horse trading, and internal support from the Dean and Provost, we havemanaged to accumulate seven working industrial robots, and we are currently working on gettingan eight on line as well. The current equipment for labs includes: • Two Denso HS-45552E/GM 4-axis SCARA robot arms, • Two Denso VS-6577GM-B 6-axis articulated robot arms, • One Fanuc LR Mate 200i 6-axis articulated robot arm, • One FANUC CERT Cart with M-1iA 6-axis parallel-link robot with vision system, • A manufacturing cell with a FANUC M-6i 6-axis articulated robot arm, a HAAS SL10 CNC lathe, and a HAAS VF2 mill, and • A
) Critical thinking skills: Critical thinking skills are assessed using the Critical Thinking Assessment Test (CAT, developed by Tennessee Tech) and activities done in class [4, 12, 13]. b) Academic success is assessed using grades in Math and Sciences, GPA at the end of the semester, and number of credit hours approved versus total number of credit hours attempted. c) Engineering Identity: measured, from the entrance and exit surveys, using questions from Jones et al. [14]. d) Interest in engineering: changes in interest in engineering were measured using entrance and exit surveys [15, 16]. e) Persistence in engineering: the number of students that continued pursuing a degree in engineering was obtained
about X that interested you? b. What do you see yourself doing in the future? 2. How did you choose X university/X program? 3. How did you become involved with the engineering ambassadors? 4. How did you prepare for the workshop? 5. Please tell me about your experiences of the workshop, from beginning to end. a. Prompts were provided if necessary, e.g. “What happened on Saturday?” and “Tell me more about your presentation topic.” 6. What were some of the biggest highlights for you of the weekend? 7. What were some of the biggest challenges or dilemmas that you faced? 8. Moving forward into the school year, how do you see yourself in the role of engineering ambassador? 9. Do you have
and studied in the future as well.References 1. Allen and Seaman, (2014). Grade Change: Tracking Online Education in the United States, Babson Survey Research Group. 2. Badurdeen, F., Marksberry, P., Hall, A., & Gregory, B. (2010). Teaching Lean Manufacturing With Simulations and Games: A Survey and Future Directions. Simulation & Gaming. 123. Boersema, M. (2013, January 28). Lean Simulations. Retrieved August 1, 2014, from http://www.leansimulations.org/2013/01/the-name-game-aka-hldittwan.html4. Cleg, B. (2010) ‘A study into the effectiveness of quality management training: A focus on tools and
engineering programs due to ABET accreditation criteria. Frontiers in Education Conference 2011: p. S1B-1-S1B-6.8. Eisen, A., Berry, R., The Absent Professor: Why we don't teach research ethics and what to do about it. The American Journal of Bioethics, 2002: p. 38-49.9. Newberry, B., The Dilemma of Ethics in Engineering Education. Science and Engineering Ethics, 2004. 10: p. 343-351.10. Corey, G., Student workbook for Ethics in Action. Pacific 1 Grove, CA: Brooks/Cole, 1998.11. Duncan, J., Case Study: Public Access to Government Data. GISProfessional Ethics Project, 2009.12. Hamilton III, J., The Seven Step Method for Analyzing Ethical Situations. 1990.13. Jersey, T., Procedures for Analyzing Ethical Dilemmas. 2001.14. Pimple, K., Using