features that would promote more meaningful engagement in the app, show the importance of high quality design and implementation of technology tools for learning and research. References [1] S. Sorby, N. Veurink, and S. Streiner, “Does spatial skills instruction improve STEM outcomes? The answer is ‘yes,’” Learning and Individual Differences , vol. 67, pp. 209–222, 2018. [2] M. Berkowitz and E. Stern, “Which cognitive abilities make the difference? Predicting academic achievements in advanced STEM studies,” Journal of Intelligence , vol. 6, no. 4, p. 48, 2018. [3] S. Sorby, B. Casey, N. Veurink, and A. Dulaney, “The role of
: Brain Dump/Free write 1% T: Cooperative cases 2% R: Concept maps 2% K: Self/ peer formative assessment 2% C: Think/Pair/Share 2% J: Computer based interaction… 3% I: Formative quizzes / surveys 3% S: Cases 7% A: Student orally respond to a… 7% P: Debates 8% L: Small group presentations /… 8% M: Role playing/simulations… 13% V: Cooperative learning/problem… 15% G: Application activity
on how to use the system. These videos were created for both the instructorand the students on how to operate the s Rater Practice system. The format of video instructionused is a sequential-step explanation and is a form of observational learning, which is learningthrough the behavior of others. Observational learning through video allows students to see a“flawless performance” of the task, and can be viewed repeatedly as needed [18]. Theinstructional videos on Rater Practice should be sufficient in learning how to operate thesimulation and can be viewed and practiced until the system is understood. If studentscomprehend the instructional videos, the barrier to many simulations - the instructions beingnon-intuitive - would be
-2192, 2015.[7] R. H. Tai, C. Q. Liu, A. V. Maltese, and X. Fan, “Planning early for careers in science,” Science, vol 312, no. 5777, pp. 1143-1144, 2006.[8] A. V. Maltese and R. H. Tai, “Eyeballs in the fridge: Sources of early interest in science,” Int. J. Sci. Educ., vol. 32, no. 5, pp. 669-685, 2010.[9] A. V. Maltese, C. S. Melki, and H. L. Wiebke, “The nature of experiences responsible for the generation and maintenance of interest in STEM,” Sci. Educ., vol. 98, no. 6, pp. 937- 962, 2014.[10] C. Murphy and J. Beggs, “Children’s perceptions of school science A study of 8–11 year- old children indicates a progressive decline in their enjoyment of school science,” Sch. Sci. Rev., vol. 84, no. 308
Educational Technology, London, England: Routledge, 1993.[2] M. A. Andresen, "Asynchronous discussion forums: success factors, outcomes, assessments, and limitations," Journal of Educational Technology & Society, vol. 12, no. 1, pp. 249-257, 2009.[3] L. Breslow, D. E. Pritchard, J. DeBoer, G. S. Stump, A. D. Ho and D. T. Seaton, "Studying learning in the worldwide classroom research into edX’s first MOOC," Research & Practice in Assessment, vol. 8, pp. 13-25, 2013.[4] A. Koutropoulos, M. S. Gallagher, S. C. Abajian, I. de Waard, R. J. Hogue, N. O. Keskin and C. O. Rodriguez, "Emotive vocabulary in MOOCs: Context and participant retention," European Journal of Open, Distance and E-Learning, 2012.[5] L. S. Vygotsky, Mind in
evenly distributedover time. Cases involving misleading information have increased in recent years, with 24 of the35 (71%) occurring after 1985. On the other hand, a clear decrease in the cases involvingadvertising can be seen over time, with 22 of the 28 cases (79%) occurring before 1980. Thisphenomenon is likely tied to several changes in the Code of Ethics in the 1970’s involvingadvertising9. The cases containing unfair competition also encountered a significant decreaseover time, 79% of which ensued prior to 1985. In contrast, cases relating to disclosing privateinformation and negligence, of which there were eight for each category, weren’t pertinent untilthe mid-80s.Based on the noted ethical dilemmas and how they are discussed in the Code
literature search, data extractionprocess was established. The search ensured that the chosen studies were peer-revieweddissertation, theses, conferences, reports, and journals. The instructional practices identified fromthe gathered literature were categorized as strategies used in teaching electrical circuit conceptsbased on student learning as manifested in their active roles and class engagement. Thesefindings serve as indicators of success that will be classified as the evidence itself in EBIPs.Based on Cronin’s work in undertaking literature review [16], studies obtained from the refinedsearch according to the title of the paper, author/s, source and year for the first pass of literaturesearch will be gathered.Analyzing and integrating the
STEM topics, Very few are more familiar with LEGOs and robotics and so it was very new to them… you know low socioeconomic[s]... It's not surprising because they do not have that type of exposure and so it's really important and I think was fascinating for them to have that exposure to see what STEM is all about and they seem to really enjoy it.It appears taken for granted that Jill’s and Bob’s students are familiar with LEGOs, and someeven Mindstorms. In contrast, Deborah’s consideration of the social and economic inequities thather students face does not allow her to make such assumptions.Teachers found the STEM connections educationally important in and of themselves, but alsoarticulated hopes that they inspire
into their careers andlives after graduation. Such approaches are often referred to as high impact pedagogies [1].The American Association of Colleges and Universities classifies service-learning as a “highimpact pedagogy” [2]. While the roots of service-learning, also called community engagedlearning, date back to the 1860’s with the Morrill Act and the 1920’s with the work of JohnDewey, curricular integration took root in the U.S. in the 1970’s. In the 1990’s there was asignificant increase in the adoption of the pedagogy within many disciplines in higher education[3, 4]. Research has shown that service-learning, can have benefits on student persistence [4-12],learning of core disciplinary knowledge and the broader skills needed in today’s
full suite of modern design application software [31]For more than a decade now, reports from industry and government have called for engineeringstudents to be prepared for leadership roles [3]. In the late 2000’s ASCE established a vision forthe future that frames five critical learning outcomes [4,29]: (1) master builders, (2) stewards ofnatural environment, (3) innovators and integrators of ideas and technology, (4) managers of riskand uncertainty, and (5) leaders in shaping public policy. Based on this vision, there have beenrenewed studies in the last 10 years on capstones to meet current demands. Studies have included: Engineering ethics [24] Leadership skills [3] Integrating technology (for course admin
] Total Cost Total Cost Scenario Device(s) Unit Price (40 students) (100 students)1 – preferred for upper Oculus Go $200 $8,000 $20,000level classes2* – preferred for lower Google Cardboard $15 $600 $1,500level classes3 Oculus Quest $400 $16,000 $40,0004 Google Daydream $99 $3,960 $9,9005*+ Samsung Gear $130 $5,200 $13,0006
Research Council(NRC) [4] , “...HBCUs enroll smaller percentages of African American students in S&E majorsthan do PWIs but graduate a larger percentage speaks to the efficacy of these institutions inretaining these students” [p. 156]. This fact debunks the negative message communicated aboutHBCUs only graduating the highest number of Blacks in STEM due to the high percentage ofBlacks enrolled. According to the NRC, the report highlights the effectiveness of HBCUs inincreasing participation and success of minority students. Although HBCUs face challenges suchas flat or declining enrollment because of an inability to compete with other more resourcedinstitutions with scholarship funds for prospective students or online learning opportunities
Research Council, Washington, DC, 978-0-309-11999-3, 2008. [Online]. Available: http://www.nap.edu/catalog/12199/integrated-computational-materials-engineering-a- transformational-discipline-for-improved-competitiveness[3] R. A. Enrique, M. Asta, and K. Thornton, "Computational Materials Science and Engineering Education: An Updated Survey of Trends and Needs," JOM, vol. 70, no. 9, pp. 1644-1651, September 01 2018.[4] K. Thornton, S. Nola, R. E. Garcia, M. Asta, and G. B. Olson, "Computational materials science and engineering education: A survey of trends and needs," JOM, vol. 61, no. 10, pp. 12-17, October 1 2009.[5] L. Li. (June 2016). Integrating Computational
, and could perhaps be helpfulif a follow-up is written in the near future.On behalf of the students, faculty, staff, and community members, the authors wish to expresstheir gratitude to the donor company and all those that helped pave the way for the developmentand installation of fabrication laboratories and makerspaces throughout the country and theworld.References[1] S. Weiner, M. Lande and S. Jordan, "What Have We ”Learned” from Maker Education Research? A Learning Sciences-base Review of ASEE Literature on the Maker Movement," in 2018 ASEE Annual Conference and Exposition Conference Proceedings, Salt Lake City, 2018.[2] V. Wilczynski, J. Zinter and L. Wilen, "Teaching Engineering Design in an Academic Makerspace: Blending
identify, enact and develop culturally responsive practices grounded in asset-based approaches in STEM.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantsNo. 1713547 and 1826354. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the authors and not necessarily reflect the views of theNational Science FoundationReferences[1] M. J. Mohr‐Schroeder, C. Jackson, M. Miller, B. Walcott, D. L. Little, L. Speler, et al., "Developing Middle School Students' Interests in STEM via Summer Learning Experiences: S ee B lue STEM C amp," School Science and Mathematics, vol. 114, pp. 291-301, 2014.[2] M. Yilmaz, J. Ren, S. Custer, and J
students and faculty contribute meaningfully to a region’seconomy and individuals get adequate return on their investment in education. Finally auniversity’s moral function gives individuals the guidance and experience to act in ways thatcontribute to a common good. Taken together these functions contribute to holisticdevelopment of the individual. It is proposed that this Learning-Societal-Economic-Moral(L-S-E-M) framework can be used to describe potential impacts of IT on university functions.In other words it provides a framework to discuss the aims which a university educationshould seek to achieve as pressures rise to shift its functions from humans to computers.As digital technologies are increasingly adopted in education and cost pressures
could indicate apreference for specific topic(s) on their application. The grant team reviewed studentapplications and assigned qualified students to faculty mentors, following student preferences ifthere was sufficient room available in that project. Students selected for the four-week researchexperience were expected to complete the appropriate first-year curriculum for their major beforeparticipation in the program. Students who were not on track to complete the first-yearcurriculum were referred to another summer program at CSUB for first year students who werestruggling with their first-year curriculum. First year transfer students were also accepted if theywere at the lower-division curriculum level within the major. First year transfer
project may have been a way to encourage theteam to slow down and work more intentionally on their designs.AcknowledgementThis material was supported by the National Science Foundation under Grant DRL-1513175.References[1] H. A. Simon, The sciences of the artificial, 3rd ed. Cambridge, MA: MIT Press, 1996.[2] B. Lawson and K. Dorst, Design expertise. Abingdon, Oxon: Architectural Press, 2009.[3] V. Goel and P. Pirolli, "The structure of design problem spaces," Cognitive Science, vol. 16, pp. 395-429, 1992.[4] D. H. Jonassen, "Toward a design theory of problem solving," Educational Technology Research & Development, vol. 48, pp. 63-85, 2000.[5] C. J. Atman, R. S. Adams, M. E. Cardella, J. Turns, S. Mosborg, and J
category is defined to characterize the different perspectives on engineeringfrom the participants on what engineering is. As shown in the quotes under “different ideas aboutengineering”, T1 talked about engineering at the system level, while T2 talked about applyingconcepts to build something. In addition, each counselor also had unique ideas: C1 talked about“manipulating things for a certain outcome” and C2 mentioned that engineering is “mathy” andsciency”. These show that there are differences in how the four participants thought aboutengineering. T1, T2 and C1 had specific definitions about engineering. These are all in contrastwith C2’s comments that engineering is “mathy” and “sciency”. For context, both T1 and T2were teachers that expose
items (see Table 2), determine if scores on the 3C’s varied by product choice, andidentify which aspects of an entrepreneurial mindset are most targeted by Product Archaeology(and likewise, which aspects need further development in regards to EML). The results aresummarized in Figures 1 and 2 and Table 3 below. Table 2. KEEN-related Rubric ItemsKEEN 3C’s Rubric Item(s)Mapped to Curiosity Historical Research (information, sources, and research questions)Mapped to Connections Experimental/Technical WorkMapped to Creating Value Analysis Figure 1. Average Rubric Scores for Final Report color coded by general (yellow), Curiosity(blue), Connections (green), and Creating
identify whether certaininteraction styles better serve specific purposes. These insights are valuable for defining andpracticing research skills for undergraduate and graduate students. Our findings could alsoinform training programs for graduate and undergraduate students as well as for faculty andothers who work with multilevel research teams. 11References[1] B. Latour and S. Woolgar, Laboratory life: the construction of scientific facts, 2nd ed. Princeton, NJ: Princeton University Press, 1986.[2] A. Johnson, Hitting the brakes: engineering design and the production of knowledge. Durham, NC: Duke University Press, 2009.[3] J. Lave and E
). pcaratozzolo@tec.mxAlvaro Alvarez-Delgado, Language Department, School of Social Sciences, Tecnologico de Monterrey, Mexico Alvaro Alvarez-Delgado was born in San Luis Potosi, Mexico. He obtained his PhD in Hispanic Literature from El Colegio de Mexico in 2009 with the thesis, Compa˜neros de viaje (1959): The First Jaime Gil de Biedma. Since 2009, he has been a member of the faculty at Tecnologico de Monterrey, Santa Fe campus, in the Languages Department from the School of Education and Humanities. He is the Coordinator at the Writing Center, Santa Fe Campus. His literary interests are related to literature written by women from the middle ’50’s to the middle ’70’s in Mexico, especially focused on the works by Elena Garro. His
project has a common set ofspecifications that all student groups work toward. After brainstorming and selection of aprototype idea, the teams design their part(s) in SW and begin 3D printing, and redesigniterations. In 2013 - 2015, students carried simple analytical calculations of the performance,although some ambitious students did SW simulations. Starting in 2016, SW simulations were arequired part of the design process. Figure 4Schematic of semester-long design project in Materials Performance. Table 2Team design projects titles and specificationsYear Materials Performance (Fall) Materials Processing (Spring)2013/14 Backpack
University. Prior to that, he was working as a Research Specialist in the Department of Physiology at University of California, San Francisco. He has authored over 85 peer-reviewed publications in journals such as Langmuir, Biomaterials, Journal of Orthopedic Research, Journal of Biomedical Materials Research, etc. and has and h-index of 37. He has also presented his work at numerous national and international level conferences. He received his Ph.D. in Bioengineering from University of Illinois at Chicago in 2003, M.S. in Chemical Engineering from Illinois Institute of Technology, Chicago in 2000 and B.E. in Chemical Engineering from M. S. University in India in 1998.Dr. Kimberly Catton P.E., Colorado State University
recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundationReferences [1] C. Conrad and M. Gasman. Educating a Diverse Nation: Lessons from Minority Serving Institutions. Cambridge, MA: Harvard University Press, 2015. [2] National Science Foundation (NSF), “Science and engineering indicators 2014,” 2014, Available: http://www.nsf.gov/statistics/seind14/ [Accessed: October, 15, 2018]. [3] S. L. Colby, and J. M. Ortman, “Predictions of the size and composition of the U.S. population 2014 to 2060: Population estimates and projects,” U. S. Census Report #P25-1143. Washington, DC
Electrical Engineering at LJMU, for his support of this project.References1. Amabile, T. M. (1996). Creativity in context: Update to the social psychology of creativity. Boulder, CO: Westview Press.2. Charyton, C., & Merrill, J. (2009). Assessing general creativity and creative engineering design in first year engineering students. Journal of Engineering Education, 98(2), 145–156.3. Howard, T. J., Culley, S., & Dekoninck, E. (2008). Describing the creative design process by the integration of engineering design and cognitive psychology literature. Design Studies, 29(2), 160– 180.4. Mumford, M. D. & Gustafson, S. B. (1988). Creativity syndrome: E-integration, application, and innovation. Psychological Bulletin, 103(1), 27
hydraulic system.References1. Sullivan, J., Fluid Power Theory and Applications, Prentice Hall Inc., Upper Saddle River, New Jersey, 1998.2. Rydberg, K.; Energy Efficient Hydraulics – System solutions for loss minimization; National Conference on Fluid Power, Linkoping University, Sweden. March 2015.3. Choudhury, A. and Rodriguez, J.; Experimental Analysis for Energy-efficient Product Design, Journal of Engineering Technology, Volume 34(1), 2017.4. Choudhury, A., Rodriguez, P. Ikonomov, J. He, B. De Young, R. Kamm, S. Hinton, Human powered energy efficient vehicle design, Proceedings the American Society for Engineering Education Annual Conference, San Antonio, TX, June 2012.5. Borghi, M., Zardin, B. Pintore, F., and Belluzi, F.; Energy
relate. I pay attention to my teacher or whomever is speaking. I follow along with my teacher or whomever is speaking when they discuss examples. Passive I listen when my teacher or whomever is speaking. I follow along with the activities that take place during the course. I do not think about course content. Disengagement I do not pay attention to course content. I focus my attention on things other than course content.References[1] M. Prince, “Does Active Learning Work? A Review of the Research,” J. Eng. Educ., vol. 93, no. 3, pp. 223–231, Jul. 2004.[2] J. J. Appleton, S. L. Christenson, D. Kim, and A. L. Reschly, “Measuring
. All weretransitioning to a four-year institution from a two-year institution. Three were transitioning to theuniversity in which the REU program was held with another transitioning to a differentuniversity. Two participants were sophomores, and two were juniors. The community collegeparticipants fields of study were; Civil Engineering, Computer Engineering, MechanicalEngineering, and Aerospace Engineering.The pre- and post-surveys focused on topics such as engineering self-efficacy, feelings ofinclusion, career success, engineering creativity, and global kinship based on Assessing Womenand Men in Engineering (AWE)’s Longitudinal Assessment of Engineering Self-Efficacy(LAESE) assessment design [6] as well as Ragusa [7] literature. The data