Engineering Education, 97(3), 235-236. doi: 10.1002/j.2168-9830.2008.tb00973.x5. Cronbach, L. J., & Gleser, G. C. (1953). Assessing similarity between profiles. Psychological Bulletin, 50(6), 456-473. doi: 10.1037/h00571736. Aldenderfer, M. S., & Blashfield, R. K. (1984). Cluster analysis. Thousand Oaks, CA: SAGE Publications.7. Clatworthy, J., Buick, D., Hankins, M., Weinman, J., & Horne, R. (2005). The use and reporting of cluster analysis in health psychology: A review. British journal of health psychology, 10(3), 329-358.8. Worthington, R. L., & Whittaker, T. A. (2006). Scale development research: A content analysis and recommendations for best practices. The Counseling Psychologist, 34(6), 806-838.9. National
modified version of Plett et al.’s five items. In addition, we propose amodel of key factors affecting engineering graduate students’ identities as shown in Figure 1.Constructs capturing the key factors affecting engineering identity and research identity areadapted from the undergraduate science and engineering identity model (Carlone & Johnson,2007; Godwin, 2016; Hazari et al., 2010; Prybutok et al., 2016 ). Based on the identity model, weexpect that graduate students’ engineering identities will be affected by three factors: engineeringcompetence/performance, engineering interest, and recognition as an engineer by others. On theother hand, previous work on research identity does not provide a framework for measuringresearch identity
, and biology, in the commonpractice of creating microorganism by the billions even in undergraduate labs, have also movedfrom the domain of observing and explaining, into the creative domain of ‘making’. Likewise,engineers in academia as well as corporate and government labs carry out primary research,discovering the principles underlying complex artificial systems17. The line has been blurred.Nonetheless, for the typical engineer at a company and the typical scientist at a research lab,Billington’s distinction that “[s]cience is discovery[;] engineering is design” restated as“[s]cientists study the natural [while] engineers create the artificial”18 still stands in the majorityof cases.In creating the artificial, engineers design products that
further investigated (by interviews and by examining technical reports) for possiblereasons. Teams that dropped between surveys two and three did so for several reasons. Based onthe follow-ups, the reason for most drops were identified as arisen conflicts in the team at the timein which the surveys were administrated. Identified conflicts included: diverging ideas on system(s)integration, a lack of collaboration among one or more disciplines due to personalities, confusion16 FALL 2017ADVANCES IN ENGINEERING EDUCATIONSurvey Tools for Faculty to Quickly Assess Multidisciplinary Team Dynamicsin Capstone Courseson the direction to proceed that will produce
/10.5339/qproc.2014.wcee2013.4. Bishop, L.M., Tillman, A.S., Geiger, F.M., Haynes, C.L., Klaper, R.D., Murphy, C.J., Orr, G., Pedersen, J.A., DeStefano, L.,and Hamers, R.J. 2014. “Enhancing graduate student communication to general audiences through blogging aboutnanotechnology and sustainability.” Journal of Chemical Education 19: 1600–1605. Bennet, S., Maton, K., Kervin, L. 2008. “The ‘digital natives’ debate: A critical review of the evidence.” British Journalof Educational Technology 39: 775–786.14 FALL 2017ADVANCES IN ENGINEERING EDUCATIONUpdating Assessment Styles: Website Development Rather Than ReportWriting for
does not do one-to-one comparisons. That is, the number of observations in the pre and post surveys can bedifferent. For this statistical testing, we used an online tool (Astatsa, n.d.). Null hypothesis isassumed to be rejected if the p value is < 0.10, recorded below as Significant (S); otherwise, it isnot significant (NS) that is it is not certain there was a significant difference between the pre andpost-survey responses for that category. Table 3: Results from Pre and Post Surveys.Survey Question Pre-Survey (n = 34) Post-Survey (n = 42) p value and SignificanceImage Capture 1.94 + 1.91 2.63
“extension[s] of man”: the hammer is an extension of the hand, eyeglasses anextension of the eyes, the wheel an extension of the foot.14 Thus media are not separate from theircreators but intimately intertwined. And if media/technologies are physical extensions of people,it follows that they may also embody other human characteristics, such as ethics and values.Furthermore, the user has only limited choice for using a particular technological artifact, as eachhas a built-in bias. According to social critic Neil Postman, “It has within its physical form apredisposition toward being used in certain ways and not others.”15 Each medium“massages”—and hence changes—the information that flows through it.2 “The medium,”McLuhan famously declared, “is the
(Lichtenstein & Plowman, 2009;Sullivan & Pines, 2016). It is a shared discipline of collective action. As participants follow thesesimple rules, new interactions take place and new outcomes emerge. Using simple, but not easyquestions, participants develop both a shared outcome and a project to move toward theiroutcome. The project represents a short-term experiment. Participants learn whether they canmove toward their shared outcome through the collective action they design. The process isiterative: as they learn, they move forward to complete some projects, adjust others and keepgoing, and take on new projects to reach their identified strategic outcome(s). Given thealignment between this approach and the complex nature of the university
Paper ID #18662An Exploratory Study of Power Dynamics and Feedback in Design ReviewsMr. Mitchell James Cieminski, Franklin W. Olin College of Engineering Mitchell J. Cieminski was born in Fontana, CA in 1995 and grew up in Greeley, CO. He received a B.S. in electrical and computer engineering from Franklin W. Olin College of Engineering in Needham, MA in May 2017, and currently studies science and technology studies at Rennselaer Polytechnic Institute. In 2014, he worked at Insper University in S˜ao Paulo, Brazil as a Junior Partner and visiting student to their developing engineering program. His research interests
] Hockaday, L. A., K. H. Kang, N. W. Colangelo, P. Y C Cheung, B. Duan, E. Malone, J. Wu,L. N. Girardi, L. J. Bonassar, H. Lipson, C. C. Chu, and J. T. Butcher. "Rapid 3D Printing ofAnatomically Accurate and Mechanically Heterogeneous Aortic Valve Hydrogel Scaffolds."Biofabrication 4.3 (2012): 035005. Web. Fall 2017 Mid-Atlantic ASEE Conference, October 6-7, Penn State Berks[7] Cho, RENEE. "What Happens to All That Plastic?" State of the Planet What Happens to AllThat Plastic Comments. N.p., Jan. 2012. Web. 08 Aug. 2016.[8] Leigh S J, Bradley R J, Purssell C P, Billson D R and Hutchins D A 2012 A simple, low-costconductive composite material for 3D printing of electronic sensors PLoS One 7 e49365[9] Jiao X, He H, Li G, Qian W, Shen
shared interest presents promise in providing an the authors to believe that complementary personalities mustoverall positive experience for students, further modification also be considered in order to further improve upon theto the process is required. In subsequent iterations of the student experience.course, two additional methods are planned. 1) Skills-based assigned teams that includes consideration for complementary personalities REFERENCES through a preliminary personality test. [1] Karlin, J., & Kellogg, S. (2009). ‘Metrics and the Holistic Learner’. 2) A Hybrid approach that assigns large teams for a Proceedings
reflection in classroom activities. Turns andMany students enter the engineering disciplines unprepared colleagues define reflection as “an intentional and dialecticalto be successful in the rigors of engineering academia. thinking process where an individual revisits features of anEngineering student retention continues to be a significant experience with which he/she is aware and uses one or morearea of research, partially due to lack of academic preparation lenses in order to assign meaning(s) to the experience that canor skill when entering a higher education institution. One guide future action (and thus future experience).” [10]. Turnstheoretical framework that describes the needed skills to et al
aninstructional module for 9th-12th grade students in a science or engineering class. The moduleconsists of a lecture with hands on activities to help students understand Boolean Logic. It willintroduce the PLC and Ladder logic programming.Learning Objectives: After this lesson the student should be able to (a) describe what aProgrammable Logic Controller is (b) understand basic AOI Boolean Logic (c) be able to write asimple Ladder Logic program.Administer: Pre-Test (Appendix A)Concepts for Teachers:The first PLC was introduced in the late 1960s. The first commercial and successfulProgrammable Logic Controller was built by Modicon Corp. as a replacer part for GeneralMotors. Originally, it was a machine with thousands of parts, but in the late ‘70’s with
.6. Acknowledgments This material is based upon work supported by the National Science Foundation under GrantNo. 1504030. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author and do not necessarily reflect the views of the National ScienceFoundation. Photos in Figures 2 and 3 are courtesy of Adafruit.com.Bibliography[1]. S. A. Ambrose et al., How Learning Works: Seven Research-Based Principles for Smart Teaching. Jossey-Bass, 2010.[2]. C. J. Atman, et al., Enabling Engineering Student Success: The Final Report for the Center for the Advancement of Engineering Education, 2010.[3]. S. Sheppard, et al., Educating Engineers: Designing for the Future of the Field. Jossey
administrative pathways 2.50 2.00 3.33Note: The results are reported as an average on a scale of 1 to 4 (1 = strongly disagree; 2 = disagree; 3 =agree; 4 = strongly agree).ReferencesBerk, R. A., Berg, J., Mortimer, R., Walton-Moss, B., & Yeo, T. P. (2005). Measuring the effectiveness of faculty mentoring relationships. Academic Medicine, 80(1), 66-71.Blackwell, J. E. (1989). Mentoring: An action strategy for increasing minority faculty. Academe, 75, 8-14.Cawyer, C. S., Simonds, C., & Davis, S. (2002). Mentoring to facilitate socialization: The case of the new faculty member. Qualitative Studies in Education, 15(2), 225-242.Fowler, E. J. (2009). Survey research methods
template will beavailable in the summer of 2017. At that time, all existing problems will be updated to this templateversion.Example 1 – filling a weigh tankWe outline the variable parameter problem creation process with an example from an introductory coursein Chemical Engineering. The original example problem, with highlighted regions of the values that willbecome variable parameters, is shown in Figure 2. A mass of 1500 pounds of liquid having a specific gravity of 1.2 and molecular weight of 150 is pumped into an empty weigh tank over the course of 25 seconds. The tank is cylindrical with a diameter of 3 ft. Determine the: a) average mass flow rate (lb/s) b) average volumetric flow rate (gal/min) c) average molar flow rate (lbmole/s) d
versus attentively viewing the videos and taking notes likein a regular classroom setting. Several traditional students mentioned that after the midtermexamination, they had to modify their approach due to the online nature of the course. Spring2017 is providing the first opportunity to compare online and on-campus student performance inEEE 460 for identical term lengths, specifically, a full 15-week semester.References1. Online Programs Accredited by ABET, Accreditation Board for Engineering and Technology (ABET), http://www.abet.org/accreditation/new-to-accreditation/online-programs/, accessed January 13, 2017.2. S. M. Phillips, M. Saraniti, “A fully online accredited undergraduate electrical engineering program,” ASEE
completeunderstanding.The author hopes to institute a hybrid format between traditional lectures and the flipped format.For less difficult concepts, the author may use the flipped format directly. However, for manysubjects, the traditional lecture format is required to maintain satisfactory progress throughcourse topics. The lecture videos can be used by students after in-class lectures to reviewdifficult ideas and also to review and prepare for exams. Hence, the author believes that videoproduction is a worthwhile endeavor.References 1. M. Stickel, “Teaching Electromagnetism with the Inverted Classroom Approach: Student Perceptions and Lessons Learned,” 121st ASEE Annual Conference and Exposition, Indianapolis, IN, June 15-18, 2014 2. S. Freeman, S
At the outset of the test, the participants listed three areas of interest in aerospace. They weregiven a few minutes to look around the webpage and share initial impressions. Afterfamiliarizing themselves with the site, they were presented with three compulsory tasks related totheir area(s)8 of interest: ● Find a research database ● Find an article ● Find a bookAfter the three above tasks were completed, optional tasks followed: ● Find information about senior projects guidelines ● Find industry-based standards that might be of use for a project or paper ● Find formatting guidelines for an American Institute of Aeronautics and Astronautics (AIAA) report ● Find where to get help if struggling to find information ● Make an
tools. Spring 2017 Mid-Atlantic ASEE Conference, April 7-8, 2017 MSUReferences1. Gaudin, S. (2007). Security Breaches Cost $90 To $305 Per Lost Record. InformationWeek. April 2007.2. Bureau of Labor Statistics (2017). Information Security Analysts. Retrieved from https://www.bls.gov/ooh/computer-and-information-technology/information-security-analysts.htm.3. Richards, R., Konak, A., Bartolacci, M. R. and Nasereddin, M. (2015). Collaborative Learning in Virtual Computer Laboratory Exercises. Spring 2015 Mid-Atlantic ASEE Conference, 2015 Villanova University,1-13.4. Konak, A. and Bartolacci, M. R. (2016). Using a Virtual Computing Laboratory to Foster Collaborative Learning for Information Security and
right of center) directed at optical detectors with audio amplifier andspeakers located to the left and right outside of the image. Spring 2017 Mid-Atlantic ASEE Conference, April 7-8, 2017 MSUReferences. 1. James L.Huff, Carla B. Zoltowski, and William C.Oakes, “Preparing Engineers for the Workplace through Service Learning: Perceptions of EPICS Alumni,” Journal of Engineering Education (January 2016): 43 – 69. 2. John S. Lamancusa, Jose L, Zayas, Allen L. Soyster, Lueny Morell, and Jens Jorgensen , “The Learning Factory: Industry-Partnered Active Learning,” Journal of Engineering Education (January 2008): 5 - 11. 3. Alan J. Dutson, Robert H. Todd, Spencer P. Magleby, Carl D. Sorensen, “A Review of
to the S language and environment which was industrializedat Bell Laboratories. It was developed by John Chambers and his colleagues. R is considered tobe enhanced and has an upgraded implementation of the S language. Most of the code written forS runs unaltered on the R platform. R provides a wide variety of statistical and graphical techniques, mainly linear andnonlinear modelling, classical statistical tests, time-series analysis, classification and clustering.R is also used as the vehicle of choice for research in statistical methodology and this platformprovides an open source route to participation in this activity. One of R’s key advantages is thatit is easy to work with and it is well-designed for publication of quality plots
proposal Program Scientific Grants See also the IC’s programmatic descriptions Director Review Specialist (http://www.nih.gov/icd/index.html). OfficerNIH Program Officials: your primary contactPre-Application During the Award Assess the “fit” to the IC, Program(s) Discuss problems in execution Start the conversation early: develop (rebudgeting, re-scoping, your ideas together extensions…) Choose the right activity/mechanism Find an administrator to
either a student or team to participate in a discussion with the instructor.These generally followed an ACL activity where the individual team outcomes were presented forthe benefit of the entire class. Figure 1: Image of audience taken by video recording system during traditional lecture potion of control lecture. Seats A1-F13 were evaluated as part of the study. The [#]s are the ordinal values assigned to each studentIn total, 59 video clips 20-30 seconds in length were analyzed from the five lecture recordings.Data points were selected such that they were spaced throughout the lecture and contained a singleactivity (e.g. the lecturer talking, a random-calling activity, or an active-collaborative learningactivity). Each clip was played on
. References[1] Cazden, C. (1988). Classroom discourse: The language of teaching and learning. Portsmouth, NH: Heinemann.[2] Kutz, E. (1997). Language and literacy: Studying discourse in communities and classrooms. Portsmouth, NH:Boynton Cook.[3] van de Weghe, R. (2003). Classroom discussions of literature. English Journal, 93(1), 87-91.[4] Langer, J.A. (2001). Beating the odds: Teaching middle and high school students to read and write well.American Educational Research Journal, 38, 837-880.[5] Nystrand, M., & Gamoran, A. (1991). Instructional discourse, student engagement, and literature achievement.Research in the Teaching of English, 25(3), 261-290.[6] McNeill, K. L, & Pimentel, D. S. (2009). Scientific discourse in three urban classrooms
their own work experience, if they have any, that is related to acourse topic.Architecture and engineering professors who have worked as architects/engineers prior to orwhile teaching have an advantage. They bring a wealth of real-world knowledge to theclassroom that they share through relating personal experiences related to each course topic andconcept. This is the same for other licensed professionals who become professors, such asdoctors, dentists and lawyers. They share their professional experience with their students as apedagogical tool. Students enter these professional programs expecting to learn from professorswho have real world experience in their area(s) of expertise. However, many engineering facultyhave not worked outside of
persist in engineering are not creative, it is by our instructionthat creativity is neglected and then phased out. Enhancing the creative skills of engineeringstudents can begin by incorporating the practices of art education, not necessarily to reconstructengineering courses, but to pepper our existing courses with material borrowed from the morecolorful side of campus.References1 Bairaktarova, D. (2016). Syllabus - Introduction to Spatial Visualization.2 O’Connor, A. J., Nemeth, C. J., & Akutsu, S. (2013). Consequences of Beliefs about theMalleability of Creativity. Creative Research Journal, 25(2), 155–162.https://doi.org/10.1080/10400419.2013.7837393 Dweck, C. (2006). Mindset: The new psychology of success. Random House.4 Matusovich
earned his B.S. in Product Devel- opment Engineering Technology at ETSU in 2013. Mr. Craig also has held a Master Plumber License as well as a natural gas license since the early 1980’s. He owned and operated Lenny’s Plumbing and Water Treatment in the 1980’s and 1990’s. He currently works in the Educational Leadership and Policy Analysis department at ETSU as a doctoral fellow while pursuing his Ed.D. in Private Sector Educational Leadership. c American Society for Engineering Education, 2017 The Development of Engineering Management Education in K-12 Schools: A Longitudinal Case StudyAbstractIn partnership with Bristol Tennessee Essential Services (BTES) whose
. comparison” Change Changing the original claim “Yeah, this has a greatest change, of Claim sorry” “Oh no, metal A was the greatest and for the melting point, it should be metal C” Question Asking for explanation, “That is the one, right?” clarification or approval. “Does this make it more elastic?” “Which one?” Response Providing any type of “No, relation is between bond response(s) to peer’s yes/no strength and elastic
. in ASEE annual conference proceedings (2012).2. US Congress Joint Economic Committee. STEM Education: Preparing for the jobs of the future. (2012).3. Carreno, S., Palou, E. & Lopez-Malo, A. Eliciting P-12 mexican teachers’ images of engineering: What do engineers do? in ASEE annual conference proceedings (2010).4. Tsui, L. Effective strategies to increase diversity in STEM fields: A review of the research literature. Journal of Negro Education 555–581 (2007).5. Demetry, C. et al. Supporting young women to enter engineering: Long-term effects of a middle school engineering outreach program for girls. Journal of Women and Minorities in Science and Engineering 15, (2009).6. Leggon, C. B. &