Science Foundation (NSF) GraduateResearch Fellowship. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NSF.References:[1] P. J. Denning, “Viewpoint Remaining Trouble Spots with Computational Thinking,” pp. 33–39, 2016.[2] U. Ilic, H. I. Haseski, and U. Tugtekin, “Publication Trends Over 10 Years of ComputationalThinking Research,” Contemp. Educ. Technol., vol. 9, no. 2, pp. 131–153, 2018.[3] C. Concepts, A Framework for K-12 Science Education. 2012.[4] J. M. Wing, “Computational Thinking : What and Why ?,” no. November, pp. 1–6, 2010.[5] T. T. Yuen and K. A. Robbins, “A Qualitative Study of Students’ Computational ThinkingSkills in a
Work-in-Progress: Research Plan for Introducing Problem Solving Skills through Activities to an Introductory Computer Science Course Stephany Coffman-Wolph, Kimberlyn Gray, and Marcia Pool Department of Computer Science, The University of Texas at Austin 2317 Speedway, Austin, TX, 78712, USA E-mail: sscw@cs.utexas.edu Department of Chemical Engineering, West Virginia University Institute of Technology 512 S Kanawha St, Beckley, WV, 25801, USA E-mail: Kimberlyn.Gray@mail.wvu.edu Department of Bioengineering, University of Illinois at
reflected on the curriculum of theprogram.References[1] M. H. Hugos, Essentials of supply chain management. John Wiley & Sons, 2018.[2] M. E. Johnson and D. F. Pyke, “A framework for teaching supply chain management,” Prod. Oper. Manag., vol. 9, no. 1, pp. 2–18, 2000.[3] M. Christopher, Logistics & supply chain management. Pearson UK, 2016.[4] “Gross Domestic Product | U.S. Bureau of Economic Analysis (BEA).” [Online]. Available: https://www.bea.gov/data/gdp/gross-domestic-product. [Accessed: 10-Jan- 2019].[5] J. A. Periatt, S. Chakrabarty, and S. A. Lemay, “Using personality traits to select customer-oriented logistics personnel,” Transp. J., pp. 22–37, 2007.[6] P. Matkovic, P. Tumbas, M. Sakal, and V
Research, vol. 13, p. 24. 4. A. W. Combs, "Fostering maximum development of the individual," Issues in secondary education, pp. 65-87, 1976 5. S. J. Brown, A. Collins, and P. Duguid, ” Situated Cognition and the Culture of Learning”, Educational Researcher, Vol. 18, No. 1, pp. 32-42, 1989. 6. J. Choi, and M. Hannafin, “Situated cognition and learning environments: roles, structures, and implications for design”, Journal of Educational Technology Research and Development, 43 (2) pp. 53 – 69, 1995 7. R. P. Khotimah and M. Masduki, “Improving teaching quality and problem solving ability through contextual teaching and learning in differential equations: a lesson study approach”, Journal of Research and
1734834. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation. We also wish to thank Mr. William Michael Anderson and Ms. ClaudiaDesimone for help with data collection.References[1] S. Byun, J. L. Meece, M. J. Irvin, and B. C. Hutchins, “The role of social capital in educational aspirations of rural youth,” Rural Sociology, vol. 77, no. 3, pp. 355–379, 2012.[2] C. Carrico, H. M. Matusovich, and M. C. Paretti, "A qualitative analysis of career choice pathways of college-oriented rural central Appalachian high school students," Journal of Career Development, 2017.[3] Carrico, C.A., “Voices in the
), 1175-1184. doi:10.1037/0003-066X.44.9.1175[5] Brainard, S. G., & Carlin, L. (2013). A Six-Year Longitudinal Study of Undergraduate Women in Engineering and Science*. Journal of Engineering Education, 87(4), 369-375. doi:10.1002/j.2168-9830.1998.tb00367.x[6] Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.[7] Estrada, M., Woodcock, A., Hernandez, P. R., & Schultz, P. W. (2011). Toward a model of social influence that explains minority student integration into the scientific community. Journal of Educational Psychology, 103(1), 206-222. doi:10.1037/a0020743[8] Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students' academic performance: A
. Bill Gates came up for his service to society to improve societal conditions (e.g. global health and Gates scholars for low income students). Parents Mother or Father who were the primary caretakers and serve as an example of strong work ethics, risk taking and success. Parent(s) that took risks, such as immigrating to US to begin a career or seek a better life, starting their own business. Parent(s) that worked hard to endure economic hardship. Close Similar role model as a parent. They are role models of people that took risks Family such as starting their own business and were successful. Club Cub Scouts and Girl Scouts organization provided
(CAM), and Computer Aided Engineering (CAE) [1]. The riseof digital manufacturing and the reliance on these technologies to reduce development timewhile improving product design and quality has been exponentially increasing over the past fewyear [2]. The reliance on digital manufacturing by industry has grown as high performancecomputing technology evolves. Recognizing the far reaching implications of this technology onresearch, several government programs in the 1980’s and 1990’s promoted the growth of highperformance computing. Today, programs such as XSEDE promote the use of high performancecomputing to conduct research in multiple fields such as engineering by supporting scholars andresearchers in using these computational resources [3
Teaching Innovation Professorship. The authors would like tothank the students for their feedback. This study complied with the University of Toronto’spolicies on research ethics.7.0 References[1] K. Barns , R. C. Marateo, and S. P. Ferris, “Teaching and Learning with the Net Generation,”Innovate: Journal of Online Education, vol. 3, no. 4, April 2007.[2] M. Prensky, “Digital Natives, Digital Immigrants,” On the Horizon, vol. 9, no. 5, pp. 67–85,Oct. 2001.[3] B. Mitra, J. Lewin-Jones, H. Barrett & S. Williamson, ‘The use of video to enable deeplearning”, Research in Post-compulsory Education, vol. 14, no. 4, pp. 405- 414, July 2010[4] A. Clifton, and C. Mann, “Can YouTube enhance student nurse learning”, Nurse EducationToday, vol. 31, no. 4
in a chronological order so a comparison and tracking thegrowth of CT practice might be possible. Nevertheless, this study contributes to the teaching andintegration of CT in K-12 science and engineering education. From the perspectives of researchas well as practice, learning environments are important for fostering student CT practice asresults show that specific CT practices seem to relate to specific design and redesign tasks(Yang, Swanson, et al., 2018). Therefore, the design of a suitable environment is critical for theintegration and fostering CT in students. ReferencesAn, S. & Lee, Y. (2014). Development of pre-service teacher education program for computational thinking. In M
and its resulting variables (roughness and rAVGCIR) byinvestigating relationships between the new experimental values and values of known relevancesuch as grade point average.Such computer-based assessments will prove to provide a more fair and equitable assessment ofdiverse student populations and their respective demographic subgroups. A better understandingof the individual components that comprise a student, especially when presented in a simple andeasily digestible manner, is surely to improve the instruction and learning experiences for allstudents.AcknowledgementsThis work is supported by NSF IUSE/PFE:RED - #1623141and covered under University ofIllinois IRB #14864.References[1] C. Ricketts and S. Wilks, "Improving student
pre-college students will help meet the growingdemand for engineers.References[1] Project Lead the Way, “About Us.” [Online]. Available: https://www.pltw.org/about-us. [Accessed: 20-Jan-2019].[2] I. Miaoulis, “K-12 Engineering: The Missing Core Discipline,” in Engineering in Pre- College Settings, S. Purzer, J. Strobel, and M. Cardella, Eds. West Lafayette: Purdue University Press, 2014, pp. 21–33.[3] R. L. Carr, L. D. Bennett IV, and J. Strobel, “Engineering in the K-12 STEM Standards of the 50 U.S. States : An Analysis of Presence and Extent,” J. Eng. Educ., vol. 101, no. 3, pp. 539–564, 2012.[4] T. J. Moore, K. M. Tank, A. W. Glancy, J. A. Kersten, and F. D. Ntow, “The Status of Engineering
. Codes whichappeared in a greater number of interviews were determined to indicate more significantelements of the data, and representative quotes accompanying these codes were used as supportfor conclusions. The codebook used is shown in Table 2.Table 2. Code Book with Definitions and Associated Leadership Styles Code Definition Leadership Style Association(s) Active listening Showing empathy, care about country-cub management opinions of employees, etc. team management Hands-off approach Allowing employees to be impoverished management autonomous, reach goals on their middle-of-the
, andconclusions or recommendations expressed in this material are those of the author(s) and do notnecessarily reflect the views of the National Science Foundation. ReferencesBarr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: what is Involved and what is the role of the computer science education community? ACM Inroads, 2(1), 48-54.Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 annual meeting of the American Educational Research Association, Vancouver, Canada.Computer Science Teacher Association (CSTA), & International Society for Technology in
learning, which may inturn increase STEM grades. Finally, we will also determine whether the scale has predictivevalidity over longer time periods on the psychological variables assessed in this study.We are optimistic about the potential to develop a reliable measure of STEM study strategies, aswell as explore whether intervening to change students’ study behaviors can improve importantSTEM outcomes.AcknowledgementsWe are grateful to the National Science Foundation (NSF-DUE #1565032) for funding thisstudy.References[1] Rach, S., & Heinze, A. (2011). Studying mathematics at the university: The influence of learning strategies. Presented at the 35th Conference of the International Group for the Psychology of Mathematics Education, Ankara
," in American Society for Engineering Education Annual Conference & Exposition (ASEE), Atlanta, GA, 2013.[12] L. J. Bottomley, E. A. Parry, L. T. Coley, L. Deam, E. Goodson, J. Kidwell, J. Linck and B. Robinson, "Lessons learned from the implementation of a GK-12 grant outreach program.," in American Society for Engineering Education Annual Conference & Exposition (ASEE), Albuquerque, NM, 2001[13] S. K. Horowitz and I. B. Horowitz, "The effects of team diversity on team outcomes: A meta- analytic review of team demography," Journal of Management, vol. 33, no. 6, pp. 987-1015, 2007.[14] S. E. Jackson and A. Joshi, "Work team diversity," in APA Handbook of Industrial and Organizational Psychology, Vol. 1, S
graduates prepared to engage in entrepreneurial and intrapreneurialactivities?The research team is pursuing these questions through a multi-method approach, includingqualitative and quantitative methods. The work meets the requirements of Design andDevelopment Research, as specified by the Common Guidelines for Educational Research in thatit contains: 1) Development of a solution based on a well-specified theory of action appropriateto a well-defined end user; 2) Creation of measures to assess the implementation of thesolution(s); 3) Collection of data on the feasibility of implementing the solution(s) in typicaldelivery settings by intended users; and 4) Conducting a pilot study to examine the promise ofgenerating the intended outcomes [22].Theory
recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] E. W. Kimball, R. S. Wells, B. J. Ostiguy, C. A. Manly, and A. A. Lauterbach, "Students with disabilities in higher education: A review of the literature and an agenda for future research," in Higher Education: Handbook of Theory and Research. vol. 31, M. B. Paulsen, Ed., Switzerland: Springer, Cham, pp. 91-156, 2016.[2] U.S. Department of Education and National Center for Education Statistics. National Postsecondary Student Aid Study: Major Field of Study of Undergraduate by Disability Status. [accessed 2019 1/28]; Available: https://www.nsf.gov
teamwork efforts and as the literature suggests, this could differentially influencelearning, self-efficacy, and continued STEM interest.AcknowledgementsThis material is based upon work supported by the National Science Foundation EngineeringEducation and Centers under Grant Number DRL-1614710, 1614739, and 1615143. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe author(s) and do not necessarily reflect the views of the National Science Foundation.ReferencesAAUW. (1998). Seperated by Sex: A critical look at single-sex education for girls. Washington, DC: American Association of University Women Educational Foundation.Achilles, C. M., & Hoover, S. P. (1996). Exploring problem-based
]. Thedifference was that the second study tracked not whether the woman was “employed full-time”but if she was employed in an engineering job. Thus, even seemingly simple constructs like“persistence” or “retention” for engineering women requires careful thought match data tointended research questions.Another troublesome issue of definition is what population of women to study. Some researchhas been focused exclusively on engineering, but much research is generalized to STEM(science, technology, engineering, and math), or just SET (science, engineering, and technology),S&E (science and engineering), or Tech (technology or high-technology). Some studies defineSTEM to include all the social sciences and some studies include all technology
. computer lab work and group exercises [25].Table 3. Description of categories within the Assessment Methods theme. Description Example Student reflections Students are asked to report A five-point scale was used to on their perceptions of the ask students about the course innovation(s), impacts of an engineering typically using Likert scales professor visiting precalculus and/or open response courses [17]. questions. Pre
-valence emotions to positive-valence emotions. Traditional moral emotions discussed in the previous section appeared in ourdata (e.g., anger, disgust, guilt, pride), but students also used other expressions to describeemotions they experienced. Emotional expressions could be classified into three broad themes:subsequent negative emotions, anticipatory negative emotions, and positive emotions. Thiscategorization was influenced by Pekrun [30]’s classification of achievement emotions. Pekrunclassified achievement emotions in academic settings into activity emotions and outcomeemotions and divided the outcome emotions into prospective/anticipatory emotions andretrospective emotions based on the time at which the emotions are experienced. Some
. The proposed creativity enhancing activitieswere created by Destination Imagination, a non-profit educational organization dedicated toteaching the creative process [28, 29].2. Background and MotivationCreativity is a construct that is commonly used, yet in research related terms, it evades consensusin definition [17] - [19]. This can undermine consistent findings when examining the efficacy ofcreativity enhancement and assessment. Although a single agreed upon definition has not beenestablished, Plucker, et al.’s survey of research on creativity found that there appears to be someconsensus that creativity has two basic characteristics: originality and usefulness [17]. For thisstudy, the definition proposed by Plucker, Gehetto, and Dow will
was particularly challenging to think of an activity that would not Incorporating Challenges in only be about the topic but would also ensure that the specific SEP three dimensions NGSS-plus-5E was being met. I also had to research the concepts at a much greater of NGSS implementation detail than I had initially anticipated.” “I was a little afraid of [Facilitator 4]’s lesson plan. It was so detailed How to and wordy. I don’t think I would have the stamina or the attention incorporate 5E’s
varysubstantially.Date: Lesson: Observer: Time Notes Code(s)Camera(s) & Audio Recorder(s): School/Grade/Teacher:Figure 2. Field note template for LiveScribe equipment For the case study phase, field notes were collected using an Apple Pencil and iPad Prothrough the Notability application. Key information about how to collect field notes moreeffectively for the project was divided into six main categories: Case Study (CS) Attendance. For the CS Attendance column, write each student’s initials to clarify who is in the classroom. Teacher ID. For the Teacher ID column, please do not use the teacher’s name. Rather, please use their
design.1 Thereintroduction of modern day senior capstone design in the 1980’s and 1990’s served to bring thepractical application of technical topics back to university level engineering.2,3 It was recentlyidentified that corporations also yearned for students entering industry to have a greaterunderstanding of problem solving, critical thinking, and presentation and communication skills.4Senior capstone design serves as a transition from compartmentalized learning experienced inintroductory level engineering courses to the design and application desired by students enteringindustry. Further, it provides students the opportunity to work on a project where they can bothaddress both technical requirements and learn how to manage projects.5 Prior
, 1524601, and 1524607. Any opinions, findings and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References1. K. Schneider, A. Bickel, and A Morrison-Shetlar, “Planning and implementing a comprehensive student-centered research program for first-year STEM undergraduates,” Journal of College Science Teaching, vol. 44, no. 3, pp. 37-43, 2015.2. K. Schneider and A. Bickel, “Undergraduate research apprenticeship model: graduate students matched with STEM first-year mentees,” Council on Undergraduate Research Quarterly, vol. 36, no. 1, pp. 25-31, 2015.3. J. Frechtling. “The 2002 user-friendly handbook for project evaluation,” National
Individual Approach Our Team Approach Number of Interviewers One Four Number of Interviews 20-30 42 (plus four pilots) Number of Analysts One Seven Expertise of Analyst(s) Expert/Near Expert Novice to Expert Number of Critics Involved 1-3 All Critics’ Knowledge of Data Limited Comprehensive Interdisciplinary Expertise None (or minimal) Yes (broad)Research Quality in PhenomenographyWalther et al. [2] argued that quality should permeate all aspects of the research design. They de-veloped the Q3 framework to help
-solving skills and provide them with the culminates in a final design project that requires students totheoretical technical background required in any engineering construct and program a robot that is capable of playingfield. Students are typically required to take a physics and/or “soccer.” It should be noted that direct contact with suchother science course(s), a math course, and an introduction to advanced applications is frequently not encountered until theengineering course. This introduction to engineering course last two years of study.may focus on teamwork, interdisciplinary collaboration,design principles, and a conceptual overview of the various BACKGROUNDengineering disciplines. In