eleven of ABET’s studentoutcomes (i.e., B and C) (“Criteria For Accrediting Engineering Programs,” 2017). Thus, ininformal, formal, and policy levels, there seems to be a shared understanding of the importanceof engineering design. While design is here to stay, emerging trends permeate the engineering educationecosystem. One of the trends that has gained a lot of traction over the years is the increasedemphasis on entrepreneurship and the entrepreneurial mindset. There are many indicators of itsincreasing prominence. The opportunity for engineering students to obtain entrepreneurship-related credentials (via minors, certificate programs, etc.) through their engineering programs is arelatively new phenomenon (e.g., at University of
were put in place starting in 2015: Engineer/Entrepreneur/Executive-in-Residence (E3iR – description of the position in Appendix B): A part-time professional appointment currently held by Mr. Trevor Wilkins. One (1) new regular faculty position in the area of technological entrepreneurship currently held by Dr. David Knox. One (1) new regular faculty position in the area of engineering design currently held by Dr. Patrick Dumond.2.3 Brunsfield Group Engineering Student Projects and Entrepreneurship Centre (the Brunsfield Centre)In 2010, a $250,000 ($50,000 per year during five (5) years) donation by another uOttawaEngineering Alumnus and recipient of a University of Ottawa Honorary Doctorate and by thecompany that he leads, the
. 26, no. 6, p. 371, Dec. 2014.[14] H.-F. Hsieh and S. E. Shannon, “Three approaches to qualitative content analysis,” Qual. Health Res., vol. 15, no. 9, pp. 1277–1288, 2005.[15] J. W. Creswell, Qualitative Inquiry and Research Design: Choosing Among Five Approaches. SAGE, 2012.[16] D. R. Krathwohl, Methods of educational and social science research. Longman, 1993.[17] J. Saldana, The Coding Manual for Qualitative Researchers. SAGE Publications, 2009.[18] M. B. Miles, A. M. Huberman, and J. Saldaña, Qualitative data analysis: A methods sourcebook, 3rd ed. Thousand Oaks, California: SAGE Publications, Incorporated, 2013.[19] J. A. Leydens, B. M. Moskal, and M. J. Pavelich, “Qualitative Methods Used in the Assessment of
coordinator interviews followed aprotocol (See Appendices A and B for sections of both). The observations focused on bothcoordinator and student behavior and dialogue. Did the coordinators talk about empathy? Didstudent interest change through different genres of participation (“hanging out,” “messingaround,” or “geeing out”)54 and pronoun evolution (from “them” to “me”).55,56 Were students andteachers able to connect and transition from feeling empathy to empathic design? Interviewquestions focused on how coordinators perceived the lesson instruction, lesson ability to conveyempathy, student and coordinator understanding of empathy, impact of lessons on studentinterest and student sense of belongingness.Student surveys. Open-ended student survey
willingness to commit the required time to the activities. As such, the selectionof EAP participants is a volunteer/self-section process. (a) (b) Fig. 1: Schematic of the mini-wave flume (a), and participating youths during testing (b) (a) (b) Fig.2: Schematic of the shake table (a) and participating youths during testing (b)From the faculty perspective, this program provides the opportunity to: interact with the studentsoutside of the classroom and in different environments, identify students’ skills, use out-of-classroom activities to develop students’ communication and teamwork skills, provide
States of America 111, 8410–5 (2014).4. Daniel, K. L. Impacts of Active Learning on Student Outcomes in Large-Lecture Biology Courses. The American Biology Teacher 78, 651–655 (2016).5. Elgin, G. et al. Insights from a Convocation: Integrating Discovery-Based Research into the Undergraduate Curriculum. Cell Biology Education 15, (2016).6. President’s Council of Advisors on Science and Technology. Engage To Excel: Producing One Million Additional College Graduates With Degrees In Science, Technology, Engineering, and Mathematics.7. Marra, R., Rodgers, K., Shen, D. & Bogue, B. Leaving Engineering: A Multi-Year Single Institution Study. Journal of Engineering Education 101, 6–27 (2012).8. Tajfel, H
. Rodgers, K. J., Boudouris, B., Diefes-Dux, H. A., & Harris, M. (2016). Integrating exposure to nanotechnology through projectwork in a large first-year engineering course. Proceedings of the 123rd ASEE Annual Conference and Exposition. New Orleans, LA. June 26-29.14. Strauss, J. & Corbin, A. (1990). Basics of qualitative research: Grounded theory procedures and techniques. Sage Publications.15. Zaiontz, C. (2013). Cohen’s kappa. Retrieved from http://www.real-statistics.com/reliability/cohens-kappa/.16. Fleiss, J.L. & Cohen, J. (1973). The equivalence of weighted kappa and the intraclass correlation as measures of reliability. Educational and Psychological Measurement, 33(3), 613-619.
' Thought Processes. Occasional Paper No. 72.[2] Stern, P., & Shavelson, R. J. (1983). Reading teachers' judgments, plans, and decision making. The Reading Teacher, 37(3), 280-286.[3] Gow, L., & Kember, D. (1993). Conceptions of teaching and their relationship to student learning. British journal of educational psychology, 63(1), 20-23.[4] Willcoxson, L. (1998). The impact of academics' learning and teaching preferences on their teaching practices: A pilot study. Studies in Higher Education, 23(1), 59-70.[5] Solomon, B. A., & Felder, R. M. (1999). Index of learning styles. Raleigh, NC: North Carolina State University. Available online.[6] Zywno, M., & Waalen, J. (2001). The effect of hypermedia
using35 infinitely slow reversible processes during which all properties are spatially uniform. The insight gained36 by following and understanding the derivation is not directly transferable to the second law analysis of37 any real system.38 b. Specific-to-general approach: The derivations are undertaken with specific devices (heat engines) and39 processes (reversible processes) but students are expected to apply the second law to general problems40 that do not use these particular devices or processes, e.g. exergy analysis of a real (irreversible) fuel cell.41 This specific-to-general approach is an exception to the general pedagogical practice of deriving results42 for a general situation that is then applied to specific cases
useris able to see the sequence of the construction by pushing button A and B on the Xboxcontroller, as shown in Figure 7. The end user is also able to go back to the previous step bypushing the left bumper (LB) button on the Xbox controller. Similar to the walkthrough, thedirectional movement of the camera is controlled by the right joystick while the headmovement is controlled by the Oculus Rift headset.Figure 7: Dynamic Interaction of the Construction Sequence using the Xbox Controller(the satellite image was from 2015 CNES/Astrium DigitalGlobe)Classroom Setting and UsageThe 3D modeling (static images and animations) and VR are helpful to use in high school orcollege courses teaching ancient history of engineering. Examples of courses where
Paper ID #18625Transitioning from University to Employment in Engineering: The Role ofCurricular and Co-curricular ActivitiesDr. Serhiy Kovalchuk, University of Toronto Serhiy Kovalchuk is a research associate at the Institute for Leadership Education in Engineering, Faculty of Applied Science and Engineering, University of Toronto.Dr. Mona Ghali, University of Toronto Researcher and InstructorMr. Mike Klassen, University of Toronto Mike Klassen is the Assistant Director, Community of Practice on Engineering Leadership at the Institute for Leadership Education in Engineering (ILead) at the University of Toronto. He designs
study will consist of the followingcomponents: a. Case Study Description: This document provides complete information of this active learning tool. It has four categories of information. The first part provides general information about the case study and includes details like the software security focus topic area, module name, prerequisite knowledge, learning outcomes, keywords, expected delivery duration, description of the scenes, and student exercise. The second part describes the instruction and assessment procedure. The third part has a list of possible discussion questions by scene. The final part of this document depicts the survey instrument. b. Student Handout: Student Handout includes
. Building the biomedical data science workforce. PLoS Biol. 2017 Jul 17;15(7). https://www.ncbi.nlm.nih.gov/pubmed/2871540719 A. Colin Cameron. EXCEL 2007: Multiple Regression. http://cameron.econ.ucdavis.edu/excel/ex61multipleregression.html Fall 2017 Mid-Atlantic ASEE Conference, October 6-7 – Penn State Berks20 G. Li, B. Dasgupta, G. Webb and A. K. Ram. Particle Motion and Energization in a Chaotic Magnetic Field. AIP Conf. Ser. 1183, 201–211 (2009) http://aip.scitation.org/doi/abs/10.1063/1.3266777 (uploaded onto Research Gate by Dasgupta on 23 October 2016. https://www.researchgate.net/publication/233884586)21 T. Molinski. Why utilities respect geomagnetically induced currents. Journal of
, Chicago, June 2006.[5] Slifka, M., “Active Learning Techniques For Engaging First Year Students In A Manufacturing Processes Course,” 2010 ASEE Annual Conference and Exposition, Louisville, June 2010.[6] Jack, H., “Perceptions in the Manufacturing Education Community,” 2010 ASEE Annual Conference and Exposition, Louisville, June 2010.[7] Wosczyna-Birch, K., Francillon, W., and Simoneau, R. W., “Manufacturing Strategies: NSF ATE Centers,” 2011 ASEE Annual Conference and Exposition, Vancouver BC, June 2011.[8] Anthony, B. W., and Hardt, D. E., “Revitalizing U.S. Manufacturing to Capitalize on Innovation,” 2012 ASEE Annual Conference and Exposition, San Antonio, June 2012.[9] Cox, D., and Schonning, A., “Industry
provide a good balance of high performance, small code size, low power consumption andsmall silicon area. However, these enhancements add more challenges in teaching thearchitecture of the ARM controller.Initializing General Purpose I/O (GPIO) PortsThe ARM architecture includes eight I/O Ports labeled as A, B, C, D, E, F, G and H with eachport having possible 32 pins (B31-B0). However, it is left to the chip manufacturer to design thenumber of ports, the number of pins per port, and which pins to use, based on its intendedapplications and design. The ARM architecture has assigned the address range of 5 MB from4000_0000H to 5FFF_FFFFH to GPIO ports. However, it is left to the manufacturer to assignspecific addresses to GPIO Ports A to H. If we
F '14 S '15 F '15 S '16 F '16 A B C D F ave Fig. 1. Grade distribution and overall score average vs semester. Percent Grade Distribution 60 50 40 30 20 10 0 F '14 S '15 F '15 S '16 F '16 A B C D F Figure 2. Grade distribution vs semester. Percent Grade Distribution 60 50 40 30 20 10 0
in enforcing them. Thestudents were asked to submit reviews of these talks which were assessed by the instructor. Thepresentations were on five academic research topics such as Stream - Aquifer InteractionAssessment Using Riparian Evapotranspiration Estimates from Remote Sensing Algorithms,three industrial topics such as Industrial Waste Management and Environmental Engineeringcareers, and two on local and federal government agencies such as Careers in NRCS andRegional Air Pollution Control Agency & Ambient Air Quality Monitoring. Appendix-B providesthe assessment summary for EPS Fall 2010.However, to engage the students more and to include additional E&P issues into the course, theinstructors felt a need for a more traditional
Paper ID #18762Building Middle School Teacher Mathematics and Science Content Knowl-edge through Engineering Design (Fundamental)Prof. Reagan Curtis, West Virginia University Reagan Curtis, Ph.D., is Professor of Educational Psychology and chair of the Department of Learning Sciences and Human Development at West Virginia University. He pursues a diverse research agenda in- cluding areas of interest in (a) the development of mathematical and scientific knowledge across the lifes- pan, (b) online delivery methods and pedagogical approaches to university instruction, and (c) research methodology, program evaluation, and
Technology (ABET) has Engineering Accreditation Commission (EAC) whichhas laid out Student Learning Outcomes in General Criterion 3. Criterion 3 documents studentoutcome with respect to engineering modeling and design courses in outcomes 3(a), 3(b), 3(c),3(e) and 3(k)16. These outcomes state that: (3a) An ability to apply knowledge of mathematics, science, and engineering. (3b) An ability to design and conduct experiments, as well as to analyze and interpret data (3c) An ability to design a system, component, or process to meet desired needs (3e) An ability to identify, formulate, and solve engineering problems 3
design. In Proceedings Frontiers in Education 1995 25th Annual Conference. Engineering Education for the 21st Century, volume 1, pages 2a1.8–2a111 vol.1, Nov 1995. [6] K. Beckman, N. Coulter, S. Khajenoori, and N. R. Mead. Collaborations: closing the industry-academia gap. IEEE Software, 14(6):49–57, Nov 1997. [7] L. Massay, S. Udoka, and B. Ram. Industry-university partnerships: A model for engineering education in the 21st century. Computers & Industrial Engineering, 29(1):77 – 81, 1995. [8] T. Reichlmay. Collaborating with industry: Strategies for an undergraduate software engineering program. In Proceedings of the 2006 International Workshop on Summit on Software Engineering Education, SSEE ’06, pages 13–16. ACM, 2006
,” descriptions of the relationshipbetween engineers and “the public”). As might be expected, in the process of coding, weencountered additional themes (e.g., societal problems in need of engineering solutions,engineers’ “social footprint” over time). At the end of the trial process, we examined our threeseparate codebooks and worked to combine them into one, by a) reaching consensus on thewording and meaning of each code, 1 and b) eliminating codes we deemed far too specific to oneof the three initial documents to justify their inclusion in the codebook. 2 There was nodisagreement about whether any of the codes we developed were valid or about whether codeswe retained should have been eliminated and vice versa. Once we entered the second phase ofcoding
StylesLSs was first introduced by Kolb [18]. Since then, multiple versions of LS models [19] weredeveloped by the psychologists and validated its use in academic environment [10]. This studyutilized Felder Silverman Learning Style model [20] and an instrument known as Index ofLearning Styles (ILS) that is used to measure LS of individuals [21]. The ILS is an onlinequestionnaire (empirically validated for its reliability and construct validity [22]) that consists of44 questions where each dimension has 11 questions. A brief description of four LS dimensionsis described in Figure 1(a). The LS score of an individual across four dimensions is denoted by‘X’ on the top of a category as shown in Figure 1(b). A score between 5-7 and 9-11 states that
determine word relevance in document queries. In Proceedings of the first instructional conference on machine learning.Schellings, G., & Van Hout-Wolters, B. (2011). Measuring strategy use with self-report instruments: theoretical and empirical considerations. Metacognition and Learning, 6(2), pp. 83-90.Sultana, F., Charles, S., & Govardhan, A. (2012). Spam comment detection in blog comments from blog rss feed by modified TF-IDF algorithm. International Journal of Engineering Science and Technology, 4(3).Tarricone, P. (2011) The Taxonomy of Metacognition. New York, NY: Psychology Press.Van Hout-Wolters, B. (2000). Assessing active self-directed learning. In R. Simons, J. van der Linden, & T. Duffy (Eds
2017 ASEE International Forum:Columbus , Ohio Jun 28 Paper ID #20747Special Aspects in Implementing the Project-Based Learning in Russian Uni-versitiesDr. Vasiliy Grigoryevich Ivanov, KAZAN NATIONAL RESEARCH TECHNOLOGICAL UNIVERSITY Vasily Ivanov graduated from Kazan State Chemical and Technological Institute (today Kazan National Research Technological University, KNRTU) in 1976. He continued his research and obtained a Ph.D. in Engineering in 1986. At the same time, he held the administrative positions in the regional system of education management. He received the
Paper ID #18439Introducing Coding in Freshman Physics Laboratories using ArduinosDr. Carl K Frederickson, University of Central Arkansas Dr. Frederickson has taught physics at UCA for 22 years. He is the current department chair and is leading the development of a new Engineering Physics degree program. c American Society for Engineering Education, 2017 Introducing Coding in Freshman Physics Laboratories using ArduinosAbstractDuring the fall semester 2015 Arduino microprocessors were introduced into the second semestercalculus based physics laboratory. The
Programs,” Conference Proceedings,American Society for Engineering Education Annual Conference & Exposition. Columbus, OH.Paterson, K. 1999. “Student Perceptions of Internet-Based Learning Tools in EnvironmentalEducation,” Journal of Engineering Education, V.88, No. 3, pp.295-204.Pawley, A., C. Schimpf, and L. Nelson. (2016). "Gender in Engineering Education Research: AContent Analysis of Research in JEE, 1998–2012." Journal of Engineering Education 105(3):508-528.Ruutmann, T., & Kipper, H. 2013. “Rethinking effective teaching and learning for the design ofefficient curriculum for technical teachers.” International Journal of Engineering Pedagogy, V.3N.1, pp. 44-51.Yoder, B. L. 2013. Engineering by the Numbers. http://www.asee.org/papers
of of sub- time c Reference (min) a Semester Total Test group problems sections b (min) group Fall 2016 120 21 99 2406 322 642 7.5 Spring 2016 134 43 91 5682 567 1351 10 All semesters 254 64 190 8088 889 1993 8.7 a. The total time that students used the app for studying and solving problems b. Total number of
Paper ID #18779Elementary Student Reflections on Failure Within and Outside of the Engi-neering Design Process (Fundamental)Dr. Pamela S. Lottero-Perdue, Towson University Pamela S. Lottero-Perdue, Ph.D., is Associate Professor of Science Education in the Department of Physics, Astronomy & Geosciences at Towson University. She has a bachelor’s degree in mechanical engineering, worked briefly as a process engineer, and taught high school physics and pre-engineering. She has taught engineering and science to children in multiple informal settings. As a pre-service teacher educator, she includes engineering in her
., & Thornton, M. A. (2012, June), Faculty and Student Perceptions of OnlineLearning in Engineering Education Paper presented at 2012 ASEE Annual Conference & Exposition, SanAntonio, Texas. https://peer.asee.org/21387Owalabi, O. (2016, Oct-Dec), Effective Learning Activities and Tools Adopted in an Online EngineeringClass, Transactions on Techniques in Stem Education, vol. 2, no. 1, pp. 97-106.Sarder, M. B. (2014, June), Improving Student Engagement in Online Courses Paper presented at 2014ASEE Annual Conference & Exposition, Indianapolis, Indiana. https://peer.asee.org/20611iImmersive Terf® is the 3D platform created by 3D ICC. Terf® is an immersive 3D avatar-based online environmentthat requires a subscription. For more information
the John B. Peatman Distinguished Professor and a GRA Eminent Scholar at Georgia Tech. He directs the Arbutus Center for the Integration of Research and Education and is the founder of the Vertically Integrated Projects (VIP) Program and the VIP Consortium. He was a co-recipient of the National Academy of Engineering’s 2005 Bernard M. Gordon Award for Innovation in Engineering and Technology Education and the 1997 Chester F. Carlson Award from the ASEE. Dr. Coyle is a Fellow of the IEEE and his research interests include systemic reform of higher education, wireless and sensor networks, and signal and information processing.Ha Hang Ai c American Society for Engineering Education, 2017