. Issues in the vocational psychology of women. Handbook of Vocational Psychology, 1:83–159.[2] C. Hill, C. Corbett, and A. St Rose. Why so few? Women in science, technology, engineering, and mathematics. American Association of University Women, Washington, DC.[3] National Academy of Sciences. Rising above the gathering storm: Energizing and employing america for a brighter economic future. The National Academy Press, Washington, DC.[4] S. Olson and D.G. Riordan. Engage to excel: Producing one million additional college graduates with degrees. in science, technology, engineering, and mathematics. Report to the president. Executive Office of the President.[5] President’s council of advisors on science technology (pcast). (2012). report
institutionincreased the depth of CH102’s inquiry-based learning approach with the introduction of a waterquality laboratory sequence. We used five key elements to develop the laboratory curriculum.First, we determined that the laboratory curriculum must satisfy the course goals, which broadlyincluded learning safe laboratory practices, developing data analysis skills, and developinglaboratory techniques required for more advanced STEM courses (American Chemical SocietyCommittee on Professional Training, 2015). Second, we determined that laboratory work shouldprimarily be a hands-on experience in which students are provided the opportunity to carry outexperiments themselves (Larsen, et al. 2013; Obenland, et al., 2014). Third, we determined theintroductory
review of samples ofstudent work from previous classes.References[1] J. Mayer, “Visual Literacy across the Disciplines,” in Research within the Disciplines, 2nd ed., Lanham, MD: Rowman & Littlefield, 2014, pp. 277–299.[2] C. Walck, J. E. Huntoon, J. R. Baker, J. S. DeClerck, and N. Allred, “Web 2.0 Ethics Education: Patents and Copyright for STEM Students,” in 2012 ASEE Annual Conference & Exposition, 2012, pp. 25.1468.1-25.1468.13.[3] J. Y. Weinraub, “Harder to Find Than Nemo: The Elusive Image Citation Standard,” Coll. Res. Libr., vol. 79, no. 4, pp. 480–498, May 2018.[4] M. J. Schoen, “Teaching Visual Literacy Skills in a One-Shot Session,” Vis. Resour. Assoc. Bull., vol. 41, no. 1, pp. 1–12, Jan. 2015.[5] T
software algorithms. However, eLearningenvironments can be created that include some of the capabilities of expert teachers and allowstudents to work independently with a virtual teacher looking over their shoulder. Feedback to astudent in an educational software program can have significant and sometimes unintendedconsequences that impact learning effectiveness and persistence. The proposed mini-hintspresented here are an attempt to improve the learning environment in the Spatial Vis trainingapp, and have been developed using guidance from pedagogical theory. This is a Work inProgress, and the actual effectiveness of the mini-hints will have to be assessed througheducational trials.References[1] S. Sorby, “Educational research in developing 3-D
materials.References[1] L. D. Feisel and A. J. Rosa, The role of the laboratory in undergraduate engineering education, Journal of Engineering Education, vol. 94, no. 1, pp. 121-130, 2005.[2] E. Crawley, J. Malmqvist, S. Ostlund, and D. Brodeur, Rethinking engineering education, The CDIO Approach, vol. 302, pp. 60-62, 2007.[3] G. D. Catalano and K. Catalano, Transformation: from teacher-centered to student-centered engineering education, Journal of Engineering Education, vol. 88, no. 1, pp. 59-64, 1999.[4] D. Herzog, V. Seyda, E. Wycisk, and C. Emmelmann, Additive manufacturing of metals, Acta Materialia, vol. 117, pp. 371-392, 2016.[5] J. O. Milewski, Additive manufacturing of metals, Applied Mechanics and Materials
of discussions with the relevantdepartment chairs. Ultimately, the course creation proposal was signed by the chair of eachdepartment before moving forward through normal undergraduate curriculum approval channels.Course creation took approximately 1.5 years to marshal through university processes and takeeffect. During the life of the S-STEM project, three cohorts of undergraduates engaged inmultidisciplinary senior design projects: 2015-2016; 2016-2017; 2017-2018. Only the finalcohort (2017-2018) was able to enroll in GEEN 4301/4302. In 2016-2017, students enrolled inselected topics courses as a stop-gap while the course creation process was underway, and theselected topics courses were substituted for the relevant senior design courses
valence or affect [8]. The commonality ofaffective assessments underscores the importance of emotion in the learning process, especiallyin the context of game-based learning where play is an element of motivation. They write thatthe body of research on game-based learning in engineering, “nearly unanimously agree[s] thatstudents enjoy game-based learning” but there is a significant lack of studies demonstrating theimpact on learning outcomes. This is either due to a lack of validated measures (e.g. student self-assessment on individually developed surveys or questionnaires) or small sample sizes and/ormissing statistical analysis [8].While games may inspire thoughts of play, the two are overlapping but distinct topics in thecontext of education
).” [Online]. Available: https://www.epa.gov/p2. [Accessed: 08-Nov-2018].[3] P. US EPA, OCSPP,OPPT, “Grant Programs for Pollution Prevention.” [Online]. Available: https://www.epa.gov/p2/grant-programs-pollution-prevention#result. [Accessed: 08-Nov-2018].[4] P. US EPA, OCSPP,OPPT, “E3: Economy - Energy - Environment.” [Online]. Available: https://www.epa.gov/e3. [Accessed: 08-Nov-2018].[5] L. T. M. Bui and S. Kapon, “The impact of voluntary programs on polluting behavior: Evidence from pollution prevention programs and toxic releases,” J. Environ. Econ. Manage., vol. 64, no. 1, pp. 31–44, Jul. 2012.[6] P. US EPA, OCSPP,OPPT, “FY 2014 Pollution Prevention Grant Results Summary.” [Online]. Available: https
postsymposium surveys, and workshop evaluations. This paper discusses the outcomes of the firstyear of the three-year funded PFMF program, including survey results and lessons learned.Background and Structure of the PFMF ProgramPoor enrollment of African Americans and other underrepresented minorities in STEMdisciplines is a critical, established problem. Though estimates demand great increases in collegecompletion in STEM areas to drive the U. S. economy, less than a quarter of minorities havecollege degrees [1]. This makes minorities a critical focal point as the nation works to addressgaps in STEM degree production. Science leaders agree overwhelmingly that increased diversityin the sciences is critical [2]. Increased diversity in STEM thought
to create a repository with the results of thisand all subsequent projects and the ongoing test data to enable future teams of students to confidentlydevelop solutions and to enable faculty to organize and manage such projects.13References1. S. Murugesan, and I. Bojanova, "Encyclopedia of Cloud Computing", ISBN:9781118821978, Wiley,2016.2. Cisco Visual Networking Index: Forecast and Trends, 2017-2022 White Paper,https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white-paper-c11-741490.html3. S. T. Faraj Al-Janabi, A. Shehab, "Edge Computing: Review and Future Trends", ResearchGate (2019)https://www.researchgate.net/publication/335858067_Edge_Computing_Review_and_Future_Directions4. B. Varghese, R
Project for Introductory Students in Aerospace Engineering, Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, Texas.[12]. Liu, S. (2014, June), Implementing Project-Based Learning in Physics and Statics Courses, Paper presented at the 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana.[13]. Chang, G., & Peterson, W. (2009, June), Bridge Design Project: A Hands-On Approach To Statics And Strength Of Materials Learning, Paper presented at 2009 Annual Conference & Exposition, Austin, Texas.[14]. Kou, Z., & Mehta, S. (2005, June), Research In Statics Education – Do Active, Collaborative, And Project- Based Learning Methods Enhance Student Engagement, Understanding
. Vanderbilt University Center for Teaching. Retrieved January 2020 from https://cft.vanderbilt.edu/active-learning/.[4] Weeks, B. K., & Horan, S. A. (2013). A video-based learning activity is effective for preparing physiotherapy students for practical examinations. Physiotherapy (United Kingdom), 99(4), 292–297.[5] Kay, R. H. (2012). Exploring the use of video podcasts in education: A comprehensive review of the literature. Computers in Human Behavior, 28(3), 820–831.[6] Beheshti, M., Taspolat, A., Kaya, O.S., & Sapanca, H.F. (2018). Characteristics of instructional videos. World Journal on Educational Technology: Current Issues, 10(1), 61- 69.[7] Brame, C. J. (2016). Effective educational videos: Principles and
; Ferguson, C. W. (2019) Project Based Learning Program for Nuclear Workforce Development Phase I: Outreach, Recruiting, and Selection. ASEE General Conference, Conference Proceedings, Tampa, FL.2. Sutton, H. (2017). Reframe your advising pathways to maximize adult completion. Recruiting & Retaining Adult Learners, 19(4), 1–53. Eastman, M. G., Christman, J., Zion, G. H., & Yerrick, R. (2017). To educate engineers or to engineer educators?: Exploring access to engineering careers. Journal of Research in Science Teaching, 54(7), 884-9134. Shadding, C. R., Whittington, D., Wallace, L. E., Wandu, W. S., & Wilson, R. K. (2016). Cost-effective recruitment strategies that attract underrepresented minority
Education Virginia Department of Education, Richmond, Virginia, 2016, [Online]. Available: http://www.doe.virginia.gov/instruction/career_technical/cybersecurity/cybersecurity- white-paper.pdf, [Accessed Jan. 16, 2020].[2] Virginia Department of Education. “Computer Science Standards of Learning (SOL)”, Computer Science, Virginia Department of Education, 2017, [Online]. Available: http://www.doe.virginia.gov/testing/sol/standards_docs/computer-science/index.shtml, [Accessed Jan. 16, 2020].[3] S. B., Fee, A. M. Holland-Minkley. “Teaching computer science through problems, not solutions”. Computer Science Education, 2010. vol. 20. no. 2. pp. 129-144.[4] Code.org. Hadi Partovi, Code.org, 2019, [Online
, the value of the1st and 3rd quartiles, and the standard deviation. Finally, we computed an average across allweeks to determine the average times students pivot each week. Only nine weeks were includedin our calculations since week 10 has no programming assignments. Students who did notattempt any of the assigned programs for a given week were excluded from weekly calculations.4.2 ResultsFigure 1's box-and-whisker plot summarizes the number of pivots students did each week.Above each whisker are the average number of pivots and the standard deviation. The averagenumber of pivots across all weeks is shown in the top-right corner. The x-axis is the weeknumber and the y-axis is the average number of pivots. Fig. 1. Box-and-whisker plot to show
grow [9]. Students are entrusted with a great amount of freedom: from choosingwhich problem(s) to tackle and pitching their ideas, to recruiting other classmates to join theirteam, setting up meeting times via online conferencing tools, and working together to createdeliverables from various locations across the U.S. [10]. This model aims to produce qualitydeliverables, which students can own as their personal intellectual property and innovation. Thejournal publications, poster presentations, business plans, outreach activities, inventiondisclosures, awards, and products developed are among the deliverables students can produce[8]. The students gain experience working within a team that includes students from othermajors, universities
undergraduates in mechanical engineering.To complete this project, students should go through these steps: investigation and survey,conceptual design, modeling and simulation, detailed design, fabrication and assembly,prototype and test. It can be found that these steps are highly in accordance with a generalscientific research or an actual engineering project (Fig. 1). To be more specific, “handwritingrobot” should be capable of drawing lines and arc (for basic level), writing alphabets andsimple Chinese characters (for intermediate level) and writing complex Chinese characters(for advanced level) while lifting and dropping the pen. The main performance indicators arethe stroke not less than 350 mm, speed not slower than 30 mm/s, and largest
2003Figure 3: Do you use a chemical process simulator and, if so, which software package(s) do you use? (multiple answersallowed)Respondents were asked how they are trained to learn new software programs. Similar to 1997and 2003, the most reported method is “self-taught,” followed by “colleagues,” and then“company-provided training.” A detailed summary of methods is shown in Figure 4. 5 with 5 as primary source and 1 did not use. 4 Average Rating 3 2 1
universities.AcknowledgmentsThe authors would like to thank the Edwards Lifesciences Center for Advanced CardiovascularTechnology for the use of its facilities and Assistant Director Ann Fain for making this programpossible.References[1] T. Roberts, C. Jackson, M. J. Mohr-Schroeder, S. B. Bush, C. Maiorca, M. Cavalcanti, D. Craig Schroeder, A. Delaney, L. Putnam, and C. Cremeans, "Students' perceptions of STEM learning after participating in a summer informal learning experience," Int J STEM Educ, vol. 5, p. 35, 2018.[2] C. Kovich, M. Carapezza, and A. M. Kyle, "Hk Maker Lab: An Engineering Design Summer Program for High School Students," The Journal of STEM Outreach, vol. 1, 2018.[3] (2019, 28 August). What is Tissue Engineering
Oneself. Harvard Business School Publishing Corporation.6. Pistrui, D., Layer, J. and Dietrich, S. (2013). Mapping the Behaviors, Motives and Professional Competencies of Entrepreneurially Minded Engineers in Theory and Practice: An Empirical Investigation. The Journal of Engineering Entrepreneurship, ASEE Special Issue, Vol. 4, No. 1, pp. 39-54.7. Dietrich, S. (2012). A Critical Examination of the Construct Validity of the TTI Performance DNA Survey for the Purpose of Differentiating the Entrepreneurially-Minded Engineer. Doctoral Dissertation, College of Technology, Eastern Michigan University, Ypsilanti, MI.8. Pistrui, D., Bonnstetter, R., Bonnstetter, B. and Fry, C. (2011). Creating, Educating and Assessing a New Class of
basic concepts of µPs/ µCs as presented in [1,2],and using troubleshooting problem-solving method to teach high school students as presented in [3], justto name a few. Back to 90’s a traditional course on µPs/ µCs mainly involves assembly programming andsoftware-only lab using simulators as mentioned in [4] and the references therein. Nowadays, more andmore college-level courses on µPs/ µCs would cover scopes from the architecture of processors to the bigpicture of embedded systems, and combine lectures with mixed software/hardware-based labexperience. This trend of introducing the ever-growing complexity of µPs/ µCs to students and preparingthem to design larger and more complex systems have brought educators big challenges and discussionson
., MIT, Cambridge, MA, 2007.[3] S. Bante, and E. Hilton, and K. Talley, and K. Shryock, and J. Linsey, and T. Hammond, “Board 65: Changing Homework Achievement with Mechanix Pedagogy,” in 2019 ASEE Annual Conference & Exposition, Tampa, Florida, June 2019. https://peer.asee.org/32398[4] B. Williford, and M. Runyon, and J. Cherian, and W. Li, and J. Linsey, and T. Hammond, “A Framework for Motivating Sketching Practice with Sketch-based Gameplay,” in Chi Play ’19, Barcelona, Spain, October 22-25, 2019. doi: 10.1145/3311350.3347175.[5] R. Brooks, and J. Koh, and S. Polsley, and T. Hammond, “Score Improvement Distribution When Using Sketch Recognition Software (Mechanix) as a Tutor: Assessment
Association of American Colleges and Universities, High-impact educational practices: what they are, who has access to them, and why they matter. Washington, DC: Association of American Colleges and Universities, 2008.[3] C. F. RIEHLE and S. A. WEINER, “High-Impact Educational Practices: An Exploration of the Role of Informatio...,” College & Undergraduate Libraries, no. 20, pp. 127–143, 2013, doi: 10.1080/10691316.2013.789658.[4] M. Talikka, R. Soukka, and H. Eskelinen, “Effects of Brief Integrated Information Literacy Education Sessions on Undergraduate Engineering Students’ Interdisciplinary Research,” New Review of Academic Librarianship, vol. 24, no. 1, pp. 48–62, Jan. 2018, doi: 10.1080/13614533.2017.1365735.[5] M
- Life Sciences Education, vol. 9, no. 4, pp. 453-461, winter 2010.[8] E. Ince, “An overview of problem solving studies in physics education,” Journal of Education and Learning, vol. 7, no. 4, pp. 191-200, 2018.[9] M. V. B. Reddy and B. Panacharoensawad, “Students problem-solving difficulties and implications in physics: An empirical study on influencing factors,” Journal of Education and Practice, vol. 8, no. 14, pp. 59-62, 2017.[10] A. J. Mason and C. Singh, “Surveying graduate students’ attitudes and approaches to problem solving,” Physical Review Special Topics - Physics Education Research, vol. 6, no. 2, 020124, 2010.[11] K. Cummings, S. Lockwood and D. M. Jeffrey, “Attitudes toward problem
the ASME Journal of Manufacturing Science & Engineering). 2018.6. IIoT: Combining the Best of OT and IT. Available from: Industrial Ethernet Book Issue 95/14, http://www.iebmedia.com/index.php?id=11673&parentid=63&themeid=255&hft=95&show detail=true&bb=1.7. Jeschke, S., et al., Industrial Internet of Things and Cyber Manufacturing Systems, in Industrial Internet of Things. 2017, Springer. p. 3-19.8. Robberts, F. 9 examples of manufacturers making IIoT work for them. internet of business - IoT, AI, Data and Edge Computing in the Connected World 2016; Available from: https://internetofbusiness.com/9-examples-manufacturers-iiot/.9. McKewen, E. Smart Manufacturing Requires a New Kind of Workforce (Part 4
this round of development are listed in Table 1.These topics cover the scope for the first half of the course before the midterm exam. There aretwo 1.5-hour lectures per week so two topics are covered each week. This course is offered in thefirst term of first year, so it was decided to carry out the study in weeks 5 and 6, when thefreshmen should have settled down into the routine of university life. The topics involved areLecture 9 Moments and Couples in Three Dimensions, and Lecture 10 Resultants in ThreeDimensions (part 1)The structure of each piece of media generally comprises of: • an introduction; • a review of an earlier related module; • the theory of the current module; • sample problem(s); • the solving of practice
Harms, who allowed us to incorporate this activity in their classrooms and our research students Sarah Goldstein and Joshuah Carlani. REFERENCES: [1] C. J. Atman et al, "Engineering Design Processess: A comparison of students and expert practitioners," Journal of Engineering Education, pp. 359-‐379, 2007. [2] D. P. Crismond and R. S. Adams, "The Informed Design Teaching and Learning Matrix," Journal of Engineering Education, vol. 101, (4), pp. 738-‐797, 2012. [3] C. L. Dym et al, "Engineering design thinking, teaching, and learning," J Eng Educ, vol. 94, (1), pp. 103-‐120, 2005. [4] A. J
principles and trends), this participant rated them 16, 17, 15, 8, and 3 outof 100, respectively. The variation in faculty responses, as shown in Figure 3, promptedquestions regarding the potential role and impact that faculty training, development, and supportprograms may have on faculty knowledge of leadership; the source(s) of prior faculty training;and the potential alignment between industry and academia regarding these competencies. Figure 3: Faculty agreement with industry for selected competenciesWe recognize that, as a qualitative data collection instrument, these survey responses werelimited and devoid of context. However, aligning with our conceptual framework, weacknowledge that such responses are imbued with a variety of contextual
. The impact of thebias reduction in the purpose sampling could lead to objectivity obtained by probabilisticsampling subject to future studies.References[1] L. A. Palinkas, S. M. Horwitz, C. A. Green, J. P. Wisdom, N. Duan, and K. Hoagwood, "Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research," Administration and Policy in Mental Health and Mental Health Services Research, vol. 42, pp. 533-544, 2015.[2] C. L. Livneh, "Characteristics of lifelong learners in the human service professions," Adult Education Quarterly, vol. 38, pp. 149-159, 1988.[3] M. Q. Patton, "Two Decades of Developments in Qualitative Inquiry: A Personal, Experiential Perspective
trends and the career outlook,” March 2016. [3] S. Mertle, “How cars have become rolling computers,” March 2017. [4] B. O’Donnell, “Your average car is a lot more code-driven than you think,” June 2016. [5] Z. Supalla, “The future of the IoT job market,” June 2016. [6] A. Godwin, “The development of a measure of engineering identity,” in 2016 ASEE Annual Confer- ence & Exposition, no. 10.18260/p.26122, (New Orleans, Louisiana), ASEE Conferences, June 2016. https://peer.asee.org/26122. [7] H. B. Carlone and A. Johnson, “Understanding the science experiences of successful women of color: Science identity as an analytic lens,” Journal of Research in Science Teaching, vol. 44, no. 8, pp. 1187–1218, 2007. [8] Z. Hazari, G. Sonnert, P