; Majerich, D. M., & Parrish, N. V., & Ferri, A. A. (2014, June), Use of a MOOC Platform toBlend a Linear Circuits Course for Non-Majors Paper presented at 2014 ASEE Annual Conference, Indianapolis,Indiana. https://peer.asee.org/23237.[17] Connor, K. A., & Huettel, L. (2014, June), Virtual Community of Practice: Electric Circuits Paper presented at2014 ASEE Annual Conference, Indianapolis, Indiana. https://peer.asee.org/23292[18] Cherner, Y. E., & Kukla, M. M., & Hobbs, L. W., & Vasilev, S. V., & Fedorov, I., & Sigov, A. S. (2014, June),Use of a Virtual Multifunctional X-Ray Diffractometer for Teaching Science and Engineering Courses Paperpresented at 2014 ASEE International Forum, Indianapolis, Indiana. https
able to share their own experiences inengineering design and provide guidance to individual projects. Hands-on workshops inelectronics and CAD software were performed to enhance student’s prototyping skills and/oraddress deficiencies among students without an engineering background. Lastly, significant timewas made available for hands-on prototyping and proof of concept testing in the laboratory.Topic (s) BEFORE DURING AFTERNeeds Finding Videos Active Learning Team Project:Problem Definition and Need Update DHF,Statement
(2007).10. Pan, D., Tan, G. S., Ragupathi, K., Booluck, K., Roop, R., and Ip, Y. K. “Profiling teacher/teaching usingdescriptors derived from qualitative feedback: Formative and summative applications.” Research in HigherEducation 50(1): 73-100 (2009).11. Marsh, H.W. and Roche, L.A. “Making students’ evaluations of teaching effectiveness effective: The criticalissues of validity, bias, and utility.” American Psychologist 52(11): 1187-1197 (1997).12. Brent, R. and Felder, R.M. “A protocol for peer review of teaching.” Proceedings of the 2004 American Societyfor Engineering Education Annual Conference & Exposition (2004).13. Iowa State University Center for Excellence in Teaching and Learning. “Peer Evaluation of Teaching: LiteratureReview
of Creative Thinking. Creativity Research Journal, 23(4), 285-295.17. Kim, K. H., & Coxon, S. V. (2013). The Creativity Crisis, Possible Causes, and What Schools Can Do. In J. B. Jones & L. J. Flint (Eds.), The Creative Imperative (pp. 53-68). Santa Barbara, CA: ABC-CLIO.18. Rollo May: The Courage to Create. New York: Nortin, rev. ed., 1994.19. U. Bertram, W. Preißing, “Navigieren im offenen System: Unternehmensführung ist ein künstlerischer Prozess,”, Leonberg: Container Verl., 2007.20. J. A. Fodor, “A theory of the cild’s theory of mind,” in Cognition, vol. 44, 1992, pp. 282-296.21. S. H Schwartz, “Universals in the content and structure of values: Theory and empirical tests in 20 countries,” in M
our society is imperative. Inrecognition of this problem, the objective of this paper is to present the geothermal energy as oneof the clean and sustainable form of renewable energy that uses the heat stored in the Earth as itssource of energy. Its first commercial uses dates back to the early 1800’s and has continued togrow throughout the years. One of its most known and common uses is at a small scale as a heatsource for residences. It can also be used at a much larger scales. There are several questions thatcome up with large scale geothermal energy model. How much energy can be produced? Cangeothermal energy produce enough energy for a whole town, city, or country? What is the initialcost and lifelong cost of geothermal energy? Are there
overtheir foreign counterparts.”2 Grasso’s own educational practice exemplifies the kind of broadeducation he advocates for: He founded the Picker Engineering Program at Smith College, thefirst ABET accredited engineering program in a women’s liberal arts college, a program that“help[s] students hone their critical thinking using techniques usually associated with study inthe liberal arts and through structured problem solving, which is typically associated with anengineering education.”3Like Grasso, a number of American engineering educators consider the broad education in thehumanities, social sciences, and the arts an important strength of engineers educated in the U.S.4Yet the U.S. is not—at least no longer—unique in reserving a space for what
Society for Engineering Education, 2008.3. Brown C., Johnson M., Lax J., “Educational Classroom Technology: What Works Best in the Engineering Context”, 2007, 37th ASEE/IEEE Frontiers in Education Conference, Session S4J.4. Grady, H., and Codone, S., " From chalkboard to PowerPoint to the web: A continuum of technology," 2004 International Professional Communication Conference, pp. 217-222.5. Colegrove, Patrick. "Making It Real: 3D Printing as a Library Service." Why IT Matters to Higher Education: EDUCASE Review. EDUCASE, 27 Oct. 2014. Web. 18 Mar. 2016. .6. Johnson, L., Adams Becker, S., Cummins, M., Estrada, V., Freeman, A., and Ludgate, H. (2013). NMC Horizon Report: 2013 Higher
department’s role inpreparing physics teachers: The Colorado learning assistant model." American Journal ofPhysics 78.11 (2010): 1218-1224. 2 Reckinger, S. M, Reckinger, S. J., “An Interactive Programming Course Model for MechanicalEngineering Students”, Proceedings of the American Society of Engineering Education AnnualConference, Indianapolis, IN, June 15-18, 2014. URL:http://www.asee.org
not on track for successful completion. Sign in at website to view your Academic Status Report(s). Each class that has a status report will have an orange Academic Status Report icon next to it. Click this icon to view the status report details. Your instructor has noted your current performance level and may have included a reason and recommended actions to help you succeed in this course. Please visit the Academic Status Report Resources Web page at http://students.asu.edu/asrr for information on tutoring, health and wellness resources, and other student support services available to you. Note: The absence of an academic status report for a course does not indicate satisfactory performance in
tr e S d o M Preference Figure 3: Distribution of the learning styles for female students in ENGG 349.same as the male students. However, the data suggests that 10% more of the males are active andvisual learners than are the females. In a comparative study of engineering students, a verysimilar trend in the differences in learning styles between male and female
students’ understanding and ability to both conceptualize and integrate information,further work will include textual analysis of reports and presentations, to identify the extent towhich students using the reasoning diagram develop syntactic coherence through identifying thelogical relationship between concepts, rather than through narrating the sequential relationshipbetween actions.References1. ABET. Criteria for accrediting engineering programs. Baltimore: ABET; 2014. 27 p.2. Novak, Joseph D. Learning, Creating and Using Knowledge. New York, NY: Routledge; 1998. 316 p.3. Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M., & Norman, M. K. How Learning Works: Seven Research-Based Principles for Smart Teaching. San Francisco, CA
: Binary, Octal, and Hexadecimal Initial Keychains Materials: Pony Beads in 2 colors (binary), 8 colors (octal), and 16 colors (hexadecimal) 3 pieces of Cord cut at approximately 10 inches for each participant 1 Keyring for each participant ASCII Table(s) showing binary, octal, and hexadecimal Prep: Purchase pony beads Place each color of bead in a separate container with a tag or sign to designate the number it represents. Using containers with easily removable and
- Predictor Variables Model 4: Overall Satisfaction in the Classroom (y) Predictor Predictor Description x Instructor Interaction and Feedback t Classroom Environment z Modes of InstructionOrdinal Logistic Regression as a Modeling TechniqueOrdinal logistic regression models are a specific extension of multiple regression models, whichuse many predictor variables that have an effect on the dependent variable. These models areused to explain an ordinal dependent variable given one or more independent variable(s).25Specifically, this model was chosen because the
reflect the views of the National ScienceFoundation.References1. Swail, W.S., Redd, K.E., & Perna, L.W. (2003). Retaining minority students in higher education: A framework for success. ASHE-ERIC Higher Education Report, Adrianna J. Kezar, Series Editor, 30, 2. San Francisco, CA: Jossey-Bass.2. Bairaktarova, D., Reyes, M., Nassr, N., & Carlton D.T. (2015). “Spatial Skills Development of Engineering Students: Identifying Instructional Tools to Incorporate into Existing Curricula,” Proceedings of the 2015 American Society for Engineering Education Annual Conference & Exposition, Seattle, WA, June 14-17, 2015. USA: American Society of Engineering Education.3. Metz, S., Sorby, S., Reap, J., Berry, T., &
instructions were left vague on purpose to foster avariety of results and encourage later discussion. This approach succeeded, as some teamsaccepted the task as an engineering challenge and worked hard to calculate error ranges anddegrees of precision, while other teams were satisfied to find an answer online and submit theirreport quickly. Table 2: Summary of student teams' project reports. AVERAGE MEASUREMENT # DATA TEAM # MEMBERS # TUBES LENGTH METHOD(S) POINTS
of the 3D printing model via a website using webcams. In addition,students should be able to print their own design using standard or alternative plastic materials withspecific attributes such as flexibility, transparency, electrical conductivity or any other material thatis compatible with the printer. Of utmost importance, this model has to be able to be escalated to acampus-wide system to allow access to the entire student body.IntroductionThe earliest 3D printing technology was developed in the late 1980’s and was referred to as rapidprototyping technology. The idea of rapid prototyping came to be from the need for quicker andcost-efficient design testing for product development within the manufacturing industry. It wasn’tuntil 2009
, Susan; Wiens, Gloria J.; Kazerounian, Kazem; Allen, Janet Katherine; and Jacobson, Kathy. Broadening Participation: A Report on a Series of Workshops Aimed at Building Community and Increasing the Number of Women and Minorities in Engineering Design, .Mechanical Engineering Conference Presentations, Papers, and Proceedings 2013, Paper 11.3. Williams, W. M. & Ceci, S. J. National hiring experiments reveal 2:1 faculty preference for women on STEM tenure track. Proceedings of the National Academy of Sciences 112, 5360-5365, doi:10.1073/pnas.1418878112 (2015).4. Hager, M. A., Engagement Motivations in Professional Associations. Non-Profit and Voluntary Sector Quarterly, Vol 43 (2S), Pg. 39S-60S (2013).5. Parker, M., Welch
individual engineering topic attended andthe effectiveness of their lead engineering advisor. The initial surveys included 20 parallelstatements with responses of strongly agree, agree, undecided, disagree, and strongly disagree.The evaluations asked the teachers to anonymously rate the workshops by providing the sessionand professors name and followed the same format with 12 survey questions and 3 short answerresponses, for example “What aspect(s) of the workshop did you most appreciate or enjoy?” and“What do you need more of to be able to do the work discussed in today’s workshop?” Based on the work done, teachers were then asked to draft their individual lesson plansand continue to work with their specific engineering professor towards a
), and 5 (definitely). The baseline is set at 1meaning no increase in understanding, assuming nobody felt they had less understanding as aconsequence of this course. In addition, space was provided for the students to specify “in whatway(s)”. From the 98 responses, the mean was 3.35 with a standard error of 0.12 (see Figure 1and Table 1). 72% of the students elaborated on their numerical response, which includedstatements like “thinking about how engineering really applies to real world technologicalapplications” and “my actions as an engineer have the ability to change lives.” 35! Number of students! 30
a complex waveform in the frequencydomain – and back. Each of the elements in this instruction module was important as an isolatedtopic, and the module endeavored to achieve the broader goal of tying these topics together.Bibliography1. Hake, Richard R. "Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses." American Journal of Physics 66, no. 1 (January 1998): 64 - 74.2. Hammer, David. "Discovery Learning and Discovery Teaching." Cognition and Instruction 15, no. 4 (1997): 485 - 529.3. Streveler, Ruth A, Thomas A Litzinger, Ronald L Miller, and Paul S Steif. "Learning Conceptual Knowledge in the Engineering Sciences: Overview and Future Research
“grit”, self-determination and social cognitive careertheories are used to explore self-efficacy, goal orientation and perception of institutionalculture as mediators of academic achievement. A significant part of this paper analyzesresponses to interventions designed to support retention of students lacking the mathbackground to “hit the ground running” upon entering a large, public predominantlywhite institution (PWI)’s college of engineering, with a disproportionate number ofminorities in the underprepared category. Targeted retention interventions for first yearstudents yielded statistically significant improvement in math course progression,particularly for minority students. Overall attrition decreased by 10% in two successiveyears
is supported by National Science Foundation under grant number 1426989.References[1] Ziaeefard, S., N. Mahmoudian, M. Rastgaar and M. Miller, “Engaging Students in STEM Learning through Co-Robotic Hands-On Activities (Evaluation),” Proc. ASEE Annual Conf. and Exp., 2016.
Manufacturing since 2010 and International Journal of Computational Materials Science and Surface Engineering since 2007.Dr. S. Hossein Mousavinezhad, Idaho State University Dr. Mousavinezhad was the principal investigator of the National Science Foundation’s recent research grant, National Wireless Research Collaboration Symposium 2014; he has published a book (with Dr. Hu of University of North Dakota) on mobile computing in 2013. Professor Mousavinezhad is an active member of IEEE and ASEE having chaired sessions in national and regional conferences. He has been an ABET Program Evaluator for Electrical Engineering and Computer Engineering as well as Engineer- ing Education. He is Founding General Chair of the IEEE
then learn more about the pumps, heat transfer and oxygenation through a series ofhands-on exercises. Finally, students investigate ways to make fluid flow and learn how fluidflow is measured and described quantitatively. Following hands-on exploration, students useonline models and animations to illustrate the “non-visible” mechanism(s) driving many of theobserved macroscopic events. Concepts of molecular motion and heat transfer are stressed,linking the online visualization to the hands-on activities. Computer-based mathematicalsimulations are utilized prior to the final design and build phase allowing students to alter avariety of design parameters and quantify their impact on the system efficiency (STEMPractices). Students then plan, build
persistence of engineering students’ misconceptions in heat transfer. Journal of Engineering Education. 101, 3, 412-438.[4] Prince, M., Vigeant, M., and Nottis, K. 2016. The Impact of Inquiry-Based Learning Activities on the Retention and Transfer of Conceptual Learning in Heat Transfer. Chemical Engineering Education. In press.[5] Koretsky, M., Falconer, J., L., Brooks, B. J., and Gilbuena, D. 2014. The AIChE Concept Warehouse: A Tool to Promote Conceptual Learning. Advances in engineering education. 4, 1.[6] Prince, M., Vigeant, M., and Nottis, K. 2012. Using inquiry-based activities to repair student misconceptions related to heat, energy, and temperature. Frontiers in Education.[7] Koretsky, M., Mihelic, S., Prince, M
scaf-fold on prior learning and experiences, addressing a continuum of lower level to higher levelthinking and deep learning as appropriate for the curriculum. Reflection essays, class discussion,individual and group projects/products, peer review and feedback, or other types of activities willbe used to measure learner progress on the learning objectives, and to provide timely and rele-vant feedback to both the instructor and learner. This information will be used by both the in-structor and learner(s) to guide decision making and engagement in bio-inspired design. Rubricsor grading guidelines will be created for each formative assessment to ensure they align with theproject goals and learning objectives. Summative assessment will occur at
having access to a role model, we created a code for servingas a role model or having a role model. We define a role model as a person(s) whom theparticipant observed and was inspired by without necessarily having any prior relationship orcommunication. For example, many participants explained that their faith in their own ability tobecome an engineer was strengthened after seeing someone excelling within an engineeringprogram who “looked like them” or came from a similar background. Their role models inspiredand motivated them to work harder. Additionally, many participants described increasing theirinvolvement in NSBE/SHPE as a result of observing role models. As one participant said, “she isdoing all these things— if she can do it I can do it
.193-212. 8. Rogowsky, B.A., Calhoun, B.M. and Tallal, P., 2015. Matching learning style to instructional method: Effects on comprehension. Journal of Educational Psychology, 107(1), p.64. 9. Dekker, S., Lee, N.C., Howard-Jones, P. and Jolles, J., 2012. Neuromyths in education: Prevalence and predictors of misconceptions among teachers. Frontiers in psychology, 3. 10. Peterson, E.R., Rayner, S.G. and Armstrong, S.J., 2009. Researching the psychology of cognitive style and learning style: Is there really a future?, Learning and Individual Differences, 19(4), pp.518-523. 11. Allen, I.E. and Seaman, J., 2013. Changing Course: Ten Years of Tracking Online Education in the United States. Sloan
= = 𝑅𝐶𝑠 + 1 1 1 𝑠 + 𝑅𝐶 𝑠+ 1 𝑠 + 1000 𝑅𝐶 10𝑘Ω ∗ 0.1µ𝐹The following four lines of codes can be used to find the Bode plot:num = [1000];den = [1, 1000];TF = tf(num,den)bode(TF)1000/(s+1000) Bode Diagram 0 -5 -10 -15 Magnitude (dB) -20 -25 -30 -35 -40 0 Phase (deg