Austrian Federal Ministry of Science, Researchand Economy.References1. Kreiter, C.; Garbi Zutin, D.; Auer, M.E., "An HTML client for the Blackbody Radiation Lab," in RemoteEngineering and Virtual Instrumentation (REV), 2015 12th International Conference on , vol., no., pp.230-234,25-27 Feb. 20152. Mujkanovic, A.; Garbi Zutin, D.; Schellander, M.; Oberlercher, G.; Vormaier, M., "Impact of students'preferences on the design of online laboratories," in Global Engineering Education Conference (EDUCON),2015 IEEE , vol., no., pp.823-826, 18-20 March 20153. V. J. Harward, J. A. Del Alamo, S. R. Lerman, P. H. Bailey, J. Carpenter, K. DeLong, C. Felknor, J. Hardison,B. Harrison, I. Jabbour, P. D. Long, T. Mao, L. Naamani, J. Northridge, M. Schulz, D
concern to engineers exist; third,contexts specific to different fields of engineering, where ethical issues that are of particularconcern to these specific fields are present. Taking this approach allows educators to not onlyspecify the contents of “actions that have the potential to have a serious impact on the lives ofothers,” but also motivate the importance of ethical and reach better consensus among studentsregarding the nature of ethics in engineering.Towards these ends, in courses taught at SJTU, Shanghai, China and Purdue University, WestLafayette, IN, instructors have developed and used case studies on, for instance, the UeberlingenMid-Air Collision in Germany and Qihoo 360’s P1 Wireless Router in China. These cases arerelated to
this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.Bibliography[1] S. G.-O. a. E. O. Sheybani, "Retaining Minority Students in Engineering: Undergraduate Research in Partnership with NASA," in ASEE Annual Conference, San Antonio, Texas, June 2012.[2] C. a. Z. D. Alvarado, "Women in CS: an evaluation of three promising practices," in Proceedings of the 41st ACM technical symposium on Computer science education, 2010.
., and S. Hu. 2001. The Effects of Student-Faculty Interaction in the 1990s. Review of Higher Education 24: 309-32.2. Lundberg, C. A., and L. A. Schreiner. 2004. Quality and Frequency of Faculty-Student Interaction as Predictors of Learning: An Analysis by Student Race/Ethnicity. Journal of College Student Development 45: 549- 65.3. Kim, Y. E., and L. J. Sax. 2009. Student-Faculty Interaction in Research Universities: Differences by Student Gender, Race, Social Class, and First-Generation Status. Review of Higher Education 50: 437-59.4. Sax, L. J. , A. N. Bryant, and C. E. Harper. 2005. The Differential Effects of Student-Faculty Interaction on College Outcomes for Women and Men
that are generalizable to a largerpopulation 9. Qualitative researchers collect textual data through interviews, observations,documents, or other methods in an effort to understand the lived experiences of individuals orgroups 9. A mixed methods approach combines qualitative and quantitative approaches in aspecific way which best answers the desired research question(s) 9,11. My research follows thequalitative research tradition to explore the development of students as cross-disciplinary teammembers.Qualitative educational research often seeks to gain insight into the lived experiences of anindividual or group of people through direct interaction between the participant and theresearcher. This connection between the qualitative researcher and
aerospaceGraphic organizers are described in [56] by Felder and Brent who provide an example on page viof [56]. Graphic organizers “preview material to be covered in class and/or summarize what wascovered and put it in a broader context.”56In the case of this two-course sequence, the VLSI Graphic Organizer gave students the bigpicture of the circuit design process in the context of authentic industrial and aerospaceproblems. The use of a graphic organizer is expected to be helpful because approximately 80%of engineering students are visual learners [27, Table 1].2) Learning objectivesFor each homework assignment, laboratory exercise, and exam, students are provided with atable mapping each problem to the appropriate course learning objective(s). This
directly linked to student persistence. The factors outlined in thisframework will be central to understanding student success at HBCUs and enable the connectionof the present study’s findings to existing literature.MethodsThe researchers implemented an iterative, descriptive research model by including the followingaction items: (a) engaging research participants; (b) developing data collection strategies; (c)defining variables and constructs; and (d) gathering information and investigating researchquestion(s). This paper focuses on the data collected currently from one institution. The presentresearch study findings are informed by quantitative data. Data from additional HBCUs will becollected and analyzed subsequently.ParticipantsParticipants
Change, 2004. 52(3): p. 509- 542.2. Kumar, P. and S. Mittal, Agricultural productivity trends in India: Sustainability issues. Agricultural Economics Research Review, 2006. 19(2006).3. World-Bank. A report on Indian country summary of higher education. 2006; Available from: http://worldbank.org. .4. PATEL, D.J.I., Education System in India. Education, 2013. 2(2).5. Tinto, V., Leaving college: Rethinking the causes and cures of student attrition (second edition). 1994: ERIC.6. Lee, W.C. and H.M. Matusovich, A Model of Co-Curricular Support for Undergraduate Engineering Students. Journal of Engineering Education, 2016. 105(3): p. 406-430.7. Felder, R.M. and R. Brent, Teaching and learning STEM
in Fig. 1. Fig. 1. Design Thinking Process.The first step in our design thinking process is empathetic understanding and ethicalconsideration of the human problem being undertaken. Empathy is the process whereby thedesigner understands the needs, experiences, and motivations of the person(s) they are designingfor (end users) and the stakeholders. Both emotional and cognitive empathy play a role in thisstep. Empathy can be achieved by various actions and activities. This includes observation,immersion, direct interaction with the end- users and stakeholders, reading, and storytelling [38]- [42]. Through this the designer develops a deeper understanding of the people and issuesinvolved. Ethical
author failed to state it, deepened their conceptual understanding. In terms of Brown, et. al.’s[5] distinction between rule learners and example learners, these students appeared to be examplelearners relative to example problems, but rule learners with other activities.Learning problem solution strategies and not basic concepts from example problems is notsurprising at all. Example problems are placed in textbooks with the intent of teaching solutionstrategies. However, some students focus primarily on the example problems as an instrumentalmeans of doing homework problems. This practice, of course, places the student’s learning ofconcepts at a disadvantage.Changing study habitsAt the end of the semester the students completed a final journal
perception of disabilities in engineering and the literature gaps can be mademore apparent. Furthering research and understanding in this field can potentially lead to a betterunderstanding of the recruitment and retention of disabled engineering students. References1. Long, M., Steinke, J., Applegate, B., Knight Lapinski, M., Johnson, M. J., & Ghosh, S. (2010). Portrayals of male and female scientists in television programs popular among middle school-age children. Science Communication, 32(3), 356-382.2. Thomas, N., & Smith, A. (2003). Preoccupied with able-bodiedness? An analysis of the British media coverage of the 2000 Paralympic Games. Adapted Physical Activity Quarterly, 20(2), 166
under Grant No.EEC 1623105. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] J. P. Lampi and T. Reynolds, "Connecting Practice & Research: From Tacit to Explicit Disciplinary Writing Instruction," Journal of Developmental Education, vol. 41, pp. 26- 28, 2018.[2] D. E. Gragson, J. P. Hagen, L. Diener, C. J. Nichols, L. F. Hanne, A. G. King, et al., "Developing technical writing skills in the physical chemistry laboratory: A progressive approach employing peer review," Journal of Chemical Education, vol. 87, pp. 62-65, 2010.[3] S. D. Loveland and S. D
College. Feedback from this group has been uniformly positive to these efforts to meetcurrent and emerging needs of business and industry. The College has been encouraged tocontinue to look to future needs and continue to develop programs that meet these needs throughcreative approaches to offering degree programs.References[1] World Economic Forum, “The Future of Jobs Report 2018,” World Economic forum, 2018. Available at http://www3.weforum.org/docs/WEF_Future_of_Jobs_2018.pdf.[2] J. Bughin, E. Hazan, S. Lund, P. Dahlstrom, A. Wiesinger, and A. Subramainian, “Skill Shift - Automation and The Future of the Workforce,” McKinsey Global Institute, McKinsey and Company, 2018. Available at https://www.mckinsey.com/featured-insights/future-of
integrate LESs into F2F and online class activities, and evaluate which combina-tion(s) of LESs can be most effective on improving student learning.3 Pedagogical Approach using LESsIn this section we present our proposed LES integration model (LESIM), a brief overview of SEP-CyLE, and a description of how LESs are integrated into the F2F and online activities of a softwaretesting class. Preliminary results obtained by comparing the midterm exam scores prior to usingLESs and while using LESs in the classroom are also presented.3.1 LES Integration Model (LESIM)Conceptually LESIM is used to improve student learning based on the model shown in Figure1. The top of the figure shows the pedagogical approaches (LESs and traditional approach) thatare
Environmental Engineering Curriculum: American Society for EngineeringEducation Annual Conference and Exposition, June 20-23, 2004, Salt Lake City, UT, USA.[2] A. Mitchell and C. Savill-Smith, “The Use of Computer and Video Games for Learning, AReview of the Literature,” Learning and Skills Development Agency, 2004.[3] B. K. Sato, U. Alam, S. J. Dacanay, A. K. Lee, and J. F. Shaffer, “Brewing for Students: AnInquiry-Based Microbiology Lab,” Journal of Microbiology & Biology Education, vol. 16-2, pp.223-229, Dec. 2015.[4] D. J. Wood, “Beer Brewing as a Model for Improving Scientific Literacy in HigherEducation,” Journal of the Human Anatomy and Physiology Science, vol. 20, no. 2, pp. 19-27,Apr. 2016.[5] M. W. Pelter and J. McQuade, “Brewing Science
Science Foundation under award DUE-1626287.References[1] T. Grose, Ed., “Retention range: The wide variation among 2007 freshmen,” ASEE Connections, Feb. 2016. [Online]. Available: http://createsend.com/t/y-45B6B3EF48CE7A3C#databyte. [Accessed Oct. 4, 2017][2] E. Seymour and N. M. Hewitt, Talking About Leaving: Why Undergraduates Leave the Sciences. Boulder, CO: Westview Press, 1997.[3] R. M. Marra, K. A., Rodgers, D. Shen, and B. Bouge, “Leaving engineering: A multi-year single institution study,” J. Eng. Educ., vol. 101, no. 1, pp. 6–27, Jan. 2012.[4] O. Eris, D. Chachra, H. L. Chen, S. Sheppard, L. Ludlow, C. Rosca, T. Bailey, and G. Toye, “Outcomes of a longitudinal administration of the persistence in
). P-20 Interactions with Government The impact of government on P-20 cannot be ignored. The government defines themethods to assess the effectiveness of teachers and recommends the use of testing andassessment to determine student success. The government also provides the funding that allowsresearch and review of these educational activities (Education Research & Data Center, 2012). Many government programs are helpful in implementing reform to education in the USA.The Race to the Top is an example of one of these programs. This program advances new waysto educate students through a personalized approach (U. S. Department of Education, March 25,2016). Grants from these programs provide tools, information, and support to meet
Karis Boyd-Sinkler is a doctoral candidate in Engineering Education at Virginia Tech. She also serves as support staff for the Center for the Enhancement of Engineering Diversity where she is involved in the recruitment, outreach, and retention of engineering students. Her research interests include diversity in engineering and the role of engineering student support centers in regards to student attrition and persistence rates. Ms. Boyd received her B.S. in Engineering Science from the University of Virginia in 2014.Adam Stark Masters, Virginia Tech Adam S. Masters is a doctoral student and Graduate Research Assistant at Virginia Polytechnic Institute and State University. They received a B.S. in Mechanical
]. It is important to note that the framework is one model of the transition processand that as few or as many S’s as are deemed appropriate can be used to describe the transitionprocess. Figure 1 provides a visual representation of the cyclic nature of a transition and the fourmain aspects of this theoretical framework.Figure 1: The Schlossberg Transition Theory Framework (adapted from Schlossberg, 1981).Each S within this framework addresses an aspect of transition. Self describes personalcharacteristics of one’s image and their psychological resources. It also includes demographiccharacteristics, perceptions of themselves, and their value systems. Situation is rooted more inthe actual transition and the changes that are occurring. This is
they bring, dominant and marginal identities, to thedepartment. The results suggest the course does NOT make salient these surface-level diversityattributes and that students lack an understanding or appreciation of the impact these attributescan have on how individuals experience the team, or how this may impact overall team function.References:1 Casper, W. J., Wayne, J. H., & Manegold, J. G. (2013). Who will we recruit? Targeting dep- and surface-level diversity with human resource policy adversity. Human Resource Management 52(3):311-332.2 Data USA. (2018). Biomedical engineering. Available from: https://datausa.io/profile/cip/1405/#demographics.3 Horwitz, S. K. & Horwitz, R. B. (2007). The
students’ scores of the two groups. It can be seen that students’ performance of thetreatment group is significantly better than that of the control group in the midterm exam. Morenoticeably, the number of students who received “A”s in treatment group is twice of that in thecontrol group. Figure 2. Students grade distribution in mid-term exam Figure 3. Comparison of midterm exam score distributionFigure 4. Stacked bar graph of mid-term exam score (A: 90~100; B: 80~89; C: 70~79; Below C: 69 or lower)Similar to the study done for the midterm performance, the results and comparison of students’final exam scores of the two groups are shown in Figures 5 through 7, where
Annual meeting for the American Society for Engineering Education, St. Louis, MS, 2000.2 Ingram, B., M. Jesse, S. Fleagle, J. Florman, and S. Van Horne, Cases on Higher Education Spaces: Innovation, Collaboration, and Technology, IGI Global, Hershey, PA, 2013, pg. 165-185. Proceedings of the 2017 ASEE Gulf-Southwest Section Annual Conference Organized by The University of Texas at Dallas Copyright © 2017, American Society for Engineering Education 2017 ASEE Gulf-Southwest Section Annual ConferenceDavid J. Ewing –Earned a Bachelor of Science degree in Mechanical Engineering fromPensacola Christian College and a PhD in
during the Summer 2020 semester. These sessions will consist of at least3 spaced training sessions before the scheduled session class (traditional). The periodic trainingwill be one training session per week for the “experimental” section, and it will be comparedwith the “control” section. The student's feedback pointed out that more training sessions couldhelp to improve the approach to achieve the targeted tolerance dimensions. Therefore, a feedbacksurvey will be implemented for the Summer 2020 cohort.Bibliography[1] Y. Weinstein, C. R. Madan, and M. A. Sumeracki, “Teaching the science of learning.,” Cogn. Res. Princ. Implic., vol. 3, no. 1, p. 2, 2018.[2] S. H. K. Kang, “Spaced Repetition Promotes Efficient and Effective Learning
actuators and programthe car in order to accomplish the following tasks upon execution of the program: 1. The desired speed of the car is taken from the user in m/s unit. Once the user enters the speed, the car starts moving. 2. The car follows a 2.5cm-wide black line on a white surface. 3. If there is an obstacle on the way, the car stops, goes around the obstacle, and continues its path.In addition to these features, students should be able to control the car manually from their phoneor their computer. Figure 1: Osoyoo Robot CarIII. A. HardwareThe main components in our robot car project are as follows: i. Line follower sensors ii. Ultrasonic sensor iii. Camera iv. DC motors v
by promoting the use of authenticliteracy practices while engaging in the solution process of a complex engineering problem.AcknowledgementsSupport for this work is provided by the National Science Foundation under Award No. EEC1664228. Any opinions, findings, conclusions, or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. Some of this material is based on work accomplished while serving at the NationalScience Foundation.References[1] R. Schoenbach, C. Greenleaf, and L. Murphy, Reading for understanding: How reading apprenticeship improves disciplinary learning in secondary and college classrooms, 2nd ed. San Francisco, CA: WestEd