engage her child in CT during integrated CT+engineering activities. The researchquestions addressed in this study are: What roles does a homeschool parent play that lead to their child’s engagement in computational thinking during (a) an integrated literacy, STEM, and CT curriculum at home, and (b) interaction with an engineering and computational thinking exhibit in a science center? MethodsResearch Design This is a qualitative study that utilized a single-case-study approach to investigate theroles that a homeschool parent plays in promoting CT in her six-year-old child. We employed acase study approach because a case study is an empirical inquiry which can provide
courses by comparing their effectiveness to regular State College courses in (a) student academic success and (b) student success in follow-up courses (e.g., relative success of students in Calculus after taking the prerequisite Pre-Calculus course.o Introduction to Programming offered at State Colleges. Because this course also has a high DFW (i.e., failure and withdrawal) rate, it serves as a barrier to students whose intent is to major in computer science. The objective of this project curriculum refinement component is to improve the conceptual framework of this course so it is optimally effective for State College students in terms of course achievement outcomes and retention in a STEM education degree track. The course
-Jones, Eds. Philadelphia: John Benjamins Publishing Company, 2000, pp. 17–29.[11] S. Wineburg, “Historical Problem Solving : A Study of the Cognitive Processes Used in the Evaluation of Documentary and Pictorial Evidence,” Journal of Educational Psychology, vol. 83, no. 1, pp. 73–87, 1991.[12] S. Wineburg, “Reading Abraham Lincoln: An expert/expert study in the interpretation of historical texts,” Cognitive Science, vol. 22, no. 3, pp. 319–322, 1998.[13] J. Lave, “Situating Learning in Communities of Practice,” in Perspectives on Socially Shared Cognition, vol. 2, L. B. Resnick, J. M. Levine, and S. D. Teasley, Eds. Washington, D.C.: American Psychological Association, 1991, pp. 63–82.[14] J. Lave and E. Wenger, Situated
. 107 - 112.[14] Wood, D. J. and Gray, B. (1991). “Toward a Comprehensive Theory of Collaboration”. Journal of Applied Behavioral Science 27 (2), pp. 139-162.[15] Russel, J.A., Weiss, A. and Mendelsohn, G.A. (1998). “Affect Grid: A Single-Item Scale of Pleasure and Arousal”, Journal of Personality and Social Psychology 57 (3), pp. 493- 502.[16] Koch, C., Neges, M., König, M. and Abramovici, M. (2014). ‘Natural Markers for Augmented Reality-Based Indoor Navigation and Facility Management‘. Automation in Construction 48, pp. 18-30.[17] https://anymotion.com/wissensgrundlagen/augmented-reality-marker[18] Lehmann-Willenbrock, N., Allen, J. A. and Kauffeld, S. (2013). „A Sequential Analysis of Procedural Meeting Communication: How Teams
of it in a coherentfashion.Figure 7: Coincident lines (Line A and Line B) on different planes in an isometric view.Figure 8: Student sketched chamfered corner where collinear vertical line represents two edgeson different planes (indexed 4c and 4d in data).Figure 9 shows a part with curved surfaces which the student found difficult to sketch. Incontrast, Figure 10 shows a very similar part that the student sketched without difficulty.Figure 9: Curved surface part that proved difficult for student to render orthographically.Figure 10: Similar curve surface part that the student sketched easily.In summary, the student learned to sketch isometric views of parts without the support of 3Dprinted parts. The isometric views were clear, and visually
balanced to prevent overrepresentation ofstudents from a single high school or program to reflect the demographics of New York City.Students typically had a grade point average of 87-93 out of 100. Scholarships were providedbased on family income after the student was accepted.Survey LogisticsAn entry (presurvey) and exit (postsurvey) questionnaire pair for 2018 was designed to evaluatestudent development through the use of Likert scale, checkbox, and open-ended questions,approved by the Cooper Union Institutional Review Board. The questions and selectableresponses to the presurvey are recorded in Appendix B, while those to the postsurvey arerecorded in Appendix C. Participants were students in the summer STEM program, with studentand parent
] Criteria for Accrediting Engineering Programs. Accreditation Board for Engineering and Technology (ABET), November 24, 2018.[3] B. Harding and P. McPherson, “What do employers want in terms of employee knowledge of technical standards and the process of standardization?,” in Proceedings of the 2010 ASEE Annual Conference & Exposition, Louisville, KY, USA, 2010, pp. 15.1364.1 – 15.1364.10. [4] D. Purcell, “Report on a survey of schools of engineering in the United States concerning standards education,” The Center for Global Standards Analysis, Spring 2004.[5] H. de Vries and T. Egyedi, “Education about standardization: Recent findings,” International Journal of IT Standards and Standardization Research, vol. 5, no. 2, pp. 11
Based Learning and Authentic Assessment in Digital Pedagogy: Embracing the Role of Collaborative Communities”. The Electronic Journal of e- Learning, 13(2), 68-83.Costa, A., & Kallick, B. (2008). Learning and Leading with Habits of Mind: 16 Essential Characteristics for Success. Alexandria: Association for Supervision & Curriculum Development.Harper, K., Baker, G. R., & Grzybowski, D. M. (2013). First Steps in Strengthening the Connections Between Mathematics and Engineering. PEER. Atlanta: American Society for Engineering Education.Holmegaard, H. T., Madsen, L. M., & Ulriksen, L. (2016). Where is the engineering I applied for? A longitudinal study of students’ transition into higher
careers in BME or other related fields. With a foundationin both the technical and social aspects of engineering, our hope is that the engineers graduatingfrom our integrated engineering program will approach biomedical engineering with aconsideration for the necessary engineering principles as well as the end user of the product,service or diagnostic they develop. We strive to give our students a “Changemakers” mindset topositively impact communities, companies, and society when they graduate.References1. Yoder B. Engineering by the Numbers. Am Soc Eng Educ. 2017;11–47.2. Linsenmeier RA, Harris TR, Olds SA. The VaNTH Bioengineering Curriculum Project. Proc Second Jt EMBS/BMES Conf. 2002;2644–5.3. Linsenmeier RA. What makes a biomedical
to Jacobson’s committee’sdeliberations. There is no clear recollection of how the group moved from here to the first set ofa-k learning, or “program” outcomes as it was originally called [32]. Criterion 3. Program Outcomes and Assessment Engineering programs must demonstrate that their graduates have: (a) an ability to apply knowledge of mathematics, science, and engineering (b) an ability to design and conduct experiments, as well as to analyze and interpret data (c) an ability to design a system, component, or process to meet desired needs (d) an ability to function on multi-disciplinary teams (e) an ability to identify, formulate, and solve engineering problems (f) an
Ebrahimzadeh a, Nick Safai b Department of Engineering, Des Moines Area Community College, Ankeny, IA 50023, USA b Engineering Department, Salt Lake Community College, Salt Lake City, UT 84123 USAAbstractMost freshmen engineering majors have very little or no background in programming. In the firstyear of college, they learn the basics of programming, so they can apply their computing skills forfuture engineering courses. Different schools use different programming languages, such asMATLAB, Visual Basic, C++, and Python for their engineering curriculum. However, Python isthe only one that is open source. Additionally, the language versatility, online community of users,and powerful analysis packages such as Numpy and Scipy have made this free
Paper ID #25480Board 20: Engagement in Practice: First Year Students as ”Engineer for aDay” for Middle School StudentsDr. Cynthia Helen Carlson PE, PhD, Merrimack College Dr. Carlson worked as a water resources engineer for 10 years prior to earning her doctorate, contributing to improved water management in communities within the United States, Middle East, and Singapore. She has been a licensed Professional Engineer (PE) since 2002. Dr. Carlson’s research interests are broadly characterized as ’how civil engineering impacts public health’, and include storm water man- agement, modeling environment/engineering/social
and none Analysis engineering standards,” in 2015 ASEE Annu. Conf. Expo., 2015.. https://doi.org/10.18260/p.24218. [7] G. E. Okudan and B. Osif, “Effect of guided research Effective Design experience on product design performance: A pilot study,” J. Project Eng. Educ., vol. 94, no. 2, pp. 255–262, 2005. Grades [8] B. Otis and L. Whang, “Effect of library instruction on Effective Citation undergraduate electrical engineering design projects,” in 2007 Analysis ASEE Annu. Conf. Expo., 2007. https://peer.asee.org/2620. [9] M. Phillips, S. Lucchesi, J. Sams, and P. J. van Susante, Effective
Research Experiences for Teachers (RET) site? Three perspectives on Big Data and Data Science Stephanie B. Philipp, Olfa Nasraoui, and Jason Immekus University of Louisville College of Education and Human Development & J.B. Speed School of Engineering Louisville, KY 40292 stephanie.philipp@louisville.edu olfa.nasraoui@gmail.edu jason.immekus@louisville.eduAbstractThis paper will share initial findings from the first year of a Research Experience for Teacherssite, supporting nine secondary STEM teachers from diverse schools in six-week
the impactof bonus depreciation and questions whether bonus depreciation makes after-tax analysis lessnecessary.Table4.BeforeandAfterTaxCashFlows (d) (e) (a) (c) 21% After-Tax Before-Tax (b) Taxable Income Income Taxes Cash Flow † Year Cash Flow Depreciation (a) − (b) −0.21(c) (a) + (d) 0 −$25,000 −$25,000 * $5250 −$19,750 1 8,000
conclude that help systems should strive todetect as many one-off errors as possible and provide hints for those (the list may be huge), andthat students struggling for more than some period of time should have a way to get quick help.We intend to make use of these finding to improve our own teaching and content, and to begindeveloping an automated help system for coding homework problems.References[1] Beaubouef, T. & Mason, J. Why the high attrition rate for computer science students: somethoughts and observations. ACM SIGCSE Bulletin, ACM, 2005, 37, 103-106.[2] McCauley, R.; Fitzgerald, S.; Lewandowski, G.; Murphy, L.; Simon, B.; Thomas, L. &Zander, C. Debugging: a review of the literature from an educational perspective. ComputerScience
, we briefly review how design methodologies can be categorized by three dis-tinct conceptions of logic. In so doing we also intend to portray some of the common narratives onrationality of engineering and design.2.1 Classical logicThe first category of design methodologies are those committed to three axioms of classical logic,namely, a. the law of identity which states everything is identical to itself, b. the law of contradiction (or non-contradiction) which states that contra- dictions are not acceptable, c. and the law of excluded middle which states if a proposition is not true its negation must be true.In the following we first review two major developments in this domain
Paper ID #26372Mandatory but not Required: Examining Change in the Year Two Imple-mentation of a Novel Engineering Mathematics CourseDr. Janet Y. Tsai, University of Colorado, Boulder Janet Y. Tsai is a researcher and instructor in the College of Engineering and Applied Science at the University of Colorado Boulder. Her research focuses on ways to encourage more students, especially women and those from nontraditional demographic groups, to pursue interests in the eld of engineering. Janet assists in recruitment and retention efforts locally, nationally, and internationally, hoping to broaden the image of engineering
in and Earning a STEM Degree: An Analysis of Students Attending a Hispanic Serving Institution," American Educational Research Journal, vol. 46, pp. 924-942, 2009.[4] S. Hurtado, C. B. Newman, M. C. Tran, and M. J. Chang, "Improving the rate of success for underrepresented racial minorities in STEM fields: Insights from a national project," New Directions for Institutional Research, vol. 2010, pp. 5-15, 2010.[5] L. Perna, V. Lundy-Wagner, N. D. Drezner, M. Gasman, S. Yoon, E. Bose, et al., "The Contribution of HBCUS to the Preparation of African American Women for Stem Careers: A Case Study," Research in Higher Education, vol. 50, pp. 1-23, February 01 2009.[6] A. Byars-Winston, Y. Estrada, C. Howard, D. Davis, and J. Zalapa
systems selected are (Figure 1): garbage compactor [11], and b)punching press. These are relatively commonplace and simple systems that students will be ableto relate to their operation, and more important to be able to have good discussion aboutcapabilities, specifications, options, and provides opportunity for potential improvements of thesystems. (a) garbage compactor (b) punching press Figure 1. Systems used for development of materials on fluid power.The corresponding hydraulic systems to be used as the base for the materials and furtherdevelopment are the ones shown below in Figure 2. In these systems, the important takeaway isthat they have the basic components and there is some type of
action research brings together multiple disciplines and stakeholders whocollaboratively aim to simultaneously investigate and ameliorate real-world problems, to act incommunity and institutional settings, and actively monitor whether that action is achievingdesired goals, is sustainable, and is not producing new problems. Pohl and Hadron [16] definetransdisciplinary research as research that “deals with problem fields … in such a way that it can:(a) grasp the complexity... of problems, (b) take into account the diversity … of life-world …and scientific perceptions of problems, (c) link abstract and case-specific knowledge, and (d)develop knowledge and practices that promote what is perceived to be the common good” [pp.431-32]. Perrin [17] notes
disciplines at a large southwestern university. The project,funded by the Kern Family Foundation, began in fall of 2018 with the aim of institutionalizingthe entrepreneurial mindset (EM), improving and expanding evidence-based pedagogicalstrategies in capstone courses, and creating a faculty Community of Practice to share resourcesand best classroom practices.Sixteen capstone faculty from multiple engineering disciplines participated in three workshopsand three coaching sessions in the fall semester. The workshops promoted the EM andevidence-based pedagogical best practice and covered topics including: (a) ‘cultivatingcuriosity’ for opportunity recognition, (b) writing measurable student learning objectives, (c)‘making connections’ in the design
in engineering: Investigating variation across high schools comparing who could go versus who does go int,” in ASEE Annual Conference and Exposition, 2018.[13] J. Eccles, “Expectancies, values, and academic behaviors,” in Achievement and Achievement Motives, J. T. Spence, Ed. 1983, pp. 75–146.[14] A. Wigfield and J. S. Eccles, “Expectancy-value theory of achievement motivation,” Contemp. Educ. Psychol., vol. 25, pp. 68–81, 2000.[15] M. B. Miles, A. M. Huberman, and J. Saldana, “Chapter 4: Fundamentals of qualitative data analysis,” in Qualitative Data Analysis, 2013, pp. 69–103.[16] S. J. Tracy, “Qualitative quality: Eight ‘big-tent’ criteria for excellent qualitative research,” Qual. Inq., vol. 16, no. 10, pp
American Society for Engineering Education ByLaws, 20172. University of Puerto Rico Office of Institutional Planning and Continuous Improvement 2018-19 Data Enrolment. Downloaded from https://oiip.uprm.edu/dtos-estadisticos/3. B. L. Yoder, “Engineering by the numbers,” report for the American Society for Engineering Education, 20164. Robert G. Bringle & Julie A. Hatcher (1996) Implementing Service Learning in Higher Education, The Journal of Higher Education, 67:2, 221-239, DOI: 10.1080/00221546.1996.11780257
, "Developing an Integrated Curriculum-wide Teamwork Instructional Strategy," in ASEE Annual Conference & Exposition, Salt Lake city, UT, 2018.[9] A. S. o. C. Engineers, "the Vision for Engineering in 2025," ASCE, Reston, VA, 2007.[10] A. S. o. M. Engineers, "Vision 2030: Creating the Future of Mechanical Engineering Education," ASME, NY, 2012.[11] S. G. S. C. H. L. D. K. L. G. E. Ö. L. M. &. T. G. Sheppard, "Exploring the Engineering Student Experience: Findings from the Academic Pathways of People Learning Engineering Survey (APPLES) (TR-10-01)," Center for the Advancement for Engineering Education., Seattle WA, 2010.[12] K. J. B. Anderson, S. S. Courter, T. McGlamery, T. M. Nathans-Kelly and C. G. Nicometo
., 2002.[5] B. Palmer and R. M. Marra, “Individual Domain-Specific Epistemologies: Implications for Educational Practice,” in Knowing, Knowledge and Beliefs, M. S. Khine, Ed. Dordrecht: Springer, 2008, pp. 325–350.[6] J. H. Yu and J. Strobel, “Instrument Development : Engineering-specific Epistemological , Epistemic and Ontological Beliefs,” Proc. Res. Eng. Educ. Symp. 2011 - Madrid, pp. 1–8, 2011.[7] J. P. Gee, How to do discourse analysis: A toolkit., 2nd ed. Thousand Oaks, CA: Routledge, 2014.[8] J. Maeda, “STEM + Art = STEAM,” STEAM J., vol. 1, no. 1, 2013.[9] A. Oner, S. Nite, R. Capraro, and M. Capraro, “From STEM to STEAM: Students’ Beliefs About the Use of Their Creativity,” STEAM J., vol. 2, no. 2
PM and3:30 PM−4:45 PM on Tuesdays and Thursdays.The class time was spent on the following: a) students individually answered three to six conceptual questions followed by peer-to-peer discussion and explanation by the instructor [9] - [11], b) students worked on as many procedural exercises out of the six assigned per topic, and c) instructor delivered micro-lectures on topics requiring extra explanation based on what students struggled with in the pre-class assignments.Only the conceptual questions were graded.Summary of ResultsResults and outcomes based on an analysis of the ALP performance metrics, final examination,surveys, and focus groups were determined and are summarized below.The student-level ALP metrics included
engineering education. Kitana is an active member of the American Institute of Chemical Engineers (AIChE) at WSU, and serves as their Graduate Student Chair for the 2018-19 academic year.David B. Thiessen, Washington State University David B.Thiessen received his Ph.D. in Chemical Engineering from the University of Colorado in 1992 and has been at Washington State University since 1994. His research interests include fluid physics, acoustics, and engineering education.Prof. Bernard J. Van Wie, Washington State University Prof. Bernard J. Van Wie received his B.S., M.S. and Ph.D., and did his postdoctoral work at the University of Oklahoma where he also taught as a visiting lecturer. He has been on the Washington State
to Out-of-Class Participation: Profile of Civil Engineering Student Engagement,” J. Prof. Issues Eng. Educ. Pract., vol. 144, no. 2, p. 04017015, 2018.[7] A. J. Barlow, B. D. Lutz, N. P. Pitterson, N. Hunsu, O. Adesope, and S. A. Brown, “Development of the Student Course Cognitive Engagement Instrument ( SCCEI ),” Rev., 2018.[8] B. D. Lutz, A. J. Ironside, N. Hunsu, C. J. Green, S. A. Brown, and O. Adesope, “Measuring Engineering Students ’ In-class Cognitive Engagement : Survey Development informed by Contemporary Educational Theories,” ASEE Annu. Conf. Expo. Proc., 2018.[9] A. J. Ironside et al., “Incorporating Faculty Sense Making in the Implementation and Modification of an Instrument to
. basic science in a veterinary medicine setting,” Med. Ref. Serv. Q., vol. 21, no. 2, pp. 21–37, 2002.[2] M. Hepworth, “A framework for understanding user requirements for an information service: Defining the needs of informal carers,” J. Am. Soc. Inf. Sci. Technol., vol. 55, no. 8, pp. 695–708, 2004.[3] N. K. Sheeja, “Science vs social science: A study of information-seeking behavior and user perceptions of academic researchers",” Libr. Rev., vol. 59, no. 7, pp. 522–531, 2010.[4] E. Herman, “End-users in academia: meeting the information needs of university researchers in an electronic age,” Aslib Proc., vol. 53, no. 10, pp. 431–457, 2001.[5] B. M. Hemminger, D. Lu, K. T. L. Vaughan, and S. J. Adams, “Information seeking