to probe participants’ thoughts andperspectives as they related to each of the proposed FIC elements. The original Business ModelCanvas elements, proposed FIC elements, and corresponding interview questions are shown inTables 2 and 3.Table 2: Mapping of Business Model Canvas and proposed Faculty Innovation Canvas elements BMC: A tool for a company or Proposed FIC: A tool for an individual or entrepreneur with a vision/mission for a group of faculty member(s) with a new venture vision/mission for a change / innovation. Value propositions: What the company brings Motivation: What attracted the faculty to the to its customers in the form of a product / affinity group service
: Interactions that promote innovation," in Innovations 2009: World Innovations in Engineering Education and Research, W. Aung, K.-S. Kim, J. Mecsi, J. Moscinski, and I. Rouse, Eds., ed Arlington, VA: International Network for Engineering Education and Research, 2009, pp. 375-391.[4] V. Svihla, "Collaboration as a dimension of design innovation," CoDesign: International Journal of CoCreation in Design and the Arts, vol. 6, pp. 245-262, 2010.[5] D. H. Jonassen, "Toward a Design Theory of Problem Solving," Educational Technology Research and Development, vol. 48, pp. 63-85, 2000.[6] K. Dorst, "The Design Problem and its Structure," in Analysing Design Activity, N. Cross, H. H. C. M. Christiaans, and K. Dorst, Eds
new formative assessment probes. Arlington, VA: National Science Teachers Association, 2016.[6] P. Keeley, Uncovering student ideas in science, Volume 1, Second edition. Arlington, Va.: NSTA press, National Science Teachers Association, 2018.[7] S. Foroushani, “Misconceptions in engineering thermodynamics: A review,” International Journal of Mechanical Engineering Education, p. 030641901875439, Feb. 2018.[8] D. Hammer, “More than misconceptions: Multiple perspectives on student knowledge and reasoning, and an appropriate role for education research,” Am J Phys, vol. 64, no. 10, pp. 1316–1325, Oct. 1996.[9] J. P. Smith, A. A. diSessa, and J. Roschelle, “Misconceptions Reconceived: A Constructivist Analysis
with assessment from self on the first line and peerassessment on the subsequent lines. The normalized scores are on the right and listed as with andwithout self-assessment to check if the student’s self-perception matches the group’s. Softwarewas formatted to color cells when assessment data was +/- 0.05 or greater (< 0.95 = orange, >1.05 = green), making it easy to find low and high performers. Table 3: Student X Assessment at Project Initiation Student X L E A D E R S w/self w/o self 5 5 5 5 5 5 5 4 4 4 4 4 4 4 0.901 0.911
a, e, i Customer Discovery b, d, e, f, i, k Evaluating Solutions b, c, d Ideation b, c, d, l Rapid Prototyping g, h, q Design Iteration c, h, l Potential Value Evaluation e, i, j, k, m, n, o Market Forces e, i, j, k, n, o*Topic Area “p”, not categorized above, focuses on teamwork, which is extensive in the first-year design course and is therefore covered throughout.Based on coverage of each Topic Area, we rated each (a-q) EM outcome as to the mode(s) bywhich it was covered: Introduced, Developed Skills, and/or
Science.As SEP-CyLE continues to evolve and as more information is collected regarding itsimplementation in classrooms in educational institutions across the country, it is likely to becomea valuable tool that students and instructors can use to facilitate teaching and learning incomputer science courses.References[1] Bureau of Labor Statistics, United States Department of Labor , "Software Developers," 13 4 2018. [Online]. Available: https://www.bls.gov/ooh/computer-and-information- technology/software-developers.htm. [Accessed 4 2 2019].[2] D. F. Shell, L. Soh, A. E. Flanigan and M. S. Peteranetz, "Students' Initial Course Motivation and Their Achievement and Retention in College CS1 Courses," in Proceedings of the 47th ACM
Things applications and solutions. Asengineering educators, it is imperative that we strive to constantly update course content anddelivery mechanisms to reflect the rapidly changing innovations in technology. This workdocuments our experience in designing and implementing IoT-based enhancements to ourEmbedded Systems course, for two consecutive years. The fall 2017 project focused on voicecontrol of robots, while the fall 2018 project was centered on hand-based gesture control. In bothinstances, overall student responses were positive and encouraging.References: 1. S. Guo and J. Liu, "Guest Editorial Special Issue on Large-Scale Internet of Things," IEEE Internet of Things, vol. 3, no. 4, pp. 439-440, August 2016. 2. Micrium.com. (2019
cookie sale," San Diego State University, 2013.[6] L. S. Anderson and K. A. Gilbride, "Discover engineering girl guides conference: Helping girl guides achieve their ‘engineer’badge," in Proc. 2003 National Conference Society of Women Engineers, SWE 2003, 2003.[7] K. E. Schmahl, "Introducing engineering to girl scouts," age, vol. 1, p. 1, 1996.[8] J. M. Trenor, S. L. Yu, C. L. Waight, K. S. Zerda, and T. L. Sha, "The relations of ethnicity to female engineering students' educational experiences and college and career plans in an ethnically diverse learning environment," Journal of engineering education, vol. 97, no. 4, pp. 449-465, 2008.[9] A. R. Brown, C. Morning, and C. Watkins, "Influence of African
behavior can be observed in a building environment.More specifically, the building environment is represented using vertex for nodes and connecting structureslike doors, stairs by links. The occupant in the model is represented using a variable o having state s, where o = ph, v position, id , g id , l from , s staying s = moving inqueue Here, ph represents the phase of the occupant which represents the environment condition of the building,vposition represents the current vertex the
Cyberspace) universities are offering graduate degrees in cybersecurity,” IEEE Spectr., vol. 51, no. 6, pp. 26–26, Jun. 2014.[2] A. Bicak, X. (Michelle) Liu, and D. Murphy, “Cybersecurity Curriculum Development: Introducing Specialties in a Graduate Program,” Inf. Syst. Educ. J., vol. 13, no. 3, p. 2015.[3] S. A. Kumar and S. Alampalayam, “Designing a graduate program in information security and analytics,” in Proceedings of the 15th Annual Conference on Information technology education - SIGITE ’14, 2014, pp. 141–146.[4] M. Ardis and N. R. Mead, “The Development of a Graduate Curriculum for Software Assurance,” in Proceedings of the Seventeenth Americas Conference on Information Systems, 2011.[5] M
engineering.For future research into reducing attrition, deeper analysis into how students feel about theirmajors may be a better route than looking into their expectations. This could be done throughfurther survey of students or by conducting interviews. While the “Push” and “Pull” data wastoo small to be analyzed further in this study, it does provide a topic for future survey orinterview questions.References[1] M. C. Bottia, E. Stearns, R. A. Mickelson, S. Moller, and A. D. Parker, “The Relationships Among High School STEM Learning Experiences and Students’ Intent to Declare and Declaration of a STEM Major in College,” Teach. Coll. Rec. Teach. Coll. Columbia Univ., vol. 117, no. 3, pp. 1–46, 2015.[2] N. N. Heilbronner, “Stepping
., & LaVaque-Manty, D. (2007). Transforming science andengineering: Advancing academic women. University of Michigan Press.[6] Ceci, S. J., Williams, W. M., & Barnett, S. M. (2009). Women's underrepresentation in science:sociocultural and biological considerations. Psychological bulletin, 135(2), 218[7] Gaughan, M., & Bozeman, B. (2016). Using the prisms of gender and rank to interpret researchcollaboration power dynamics. Social Studies of Science, 46(4), 536-558.[8] Pereira, M. D. M. (2010). Higher Education Cutbacks and the Reshaping of EpistemicHierarchies: An Ethnography of the Case of Feminist Scholarship.Sociology, 44(2), 287–304.[9] Amâncio, L. (1993). Género: representações e identidades. Análise das representações
bestpractices. In ASEE Annual Conference and Exposition, Conference Proceeding (pp. 1-18).[2] Dym, C. L., Agogino, A. M., Eris, O., Frey, D. D., & Leifer, L. J. (2005). Engineering designthinking, teaching, and learning. Journal of engineering education, 94(1), 103-120.[3] Todd, R. H., & Magleby, S. P. (2004). Evaluation and rewards for faculty involved inengineering design education. International Journal of Engineering Education, 20(3), 333-340.[4] Hadim, H. A., & Esche, S. K. (2002). Enhancing the engineering curriculum through project-based learning. In Frontiers in education, 2002. FIE 2002. 32nd Annual (Vol. 2, pp. F3F-F3F).IEEE.[5] Dutson, A. J., Todd, R. H., Magleby, S. P., & Sorensen, C. D. (1997). A review of literatureon
. (2014). Resilience assessment for geotechnicalinfrastructure assets. Infrastructure Asset Management, 1(4), 95-104.[5] American Society for Civil Engineers (2009). The Vision for Civil Engineering in 2025.Reston, VA: ASCE.[6] Dong, J. and Chen, P. (2014). A Case Study: How Collaborative PBL Affects Learning ofMinority Students in Engineering Courses at Senior Level. ASEE Annual Conference &Exposition, Indianapolis, IN.[7] Fernandes, S. R. G. (2014). Preparing graduates for professional practice: findings from a casestudy of Project-based Learning (PBL). Procedia-Social and Behavioral Sciences, 139, 219-226.[8] Wu, W. and Hyatt, B. (2016). Experiential and project-based learning in BIM for sustainableliving with tiny solar houses. Procedia
Science Foundation under GrantNo. 1744539. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] E.T. Iskander, P.A. Gore Jr., C. Furse, and A. Bergeson, “Gender differences in expressedinterests in engineering-related fields: ACT 30-year data analysis identified trends and suggestedavenues to reverse trends,” Journal of Career Assessment, 21 (4), pp. 599-613, 2013.[2] National Science Foundation, Division of Science Resource Statistics, Survey of GraduateStudents and Post Doctorates in Science and Engineering. Retrieved fromhttp://www.nsf.gov/statistics/srvygradpostdoc/pub_data.cfm, 2010.[3] E.L
puzzle-dispatchingpolicies 33 combining reinforcement learning with evolutionary techniques 12 .3.3 Synthetic EvoParsons ExperimentWe then designed a simplistic synthetic teacher-learner model that still captured essentialcharacteristics of our target application. We used fixed-length integer vectors as genotypes forboth learners and Parsons puzzles; g1 , g2 , g3 , g4 with each of the 4 genes taking value in[1..NG ]. The student vs. puzzle interaction was approximated by simply summing the valuesin a learner’s genotype (S L ) and summing those of the practice problem (S P ). S L representsthe expected number of attempts taken by the corresponding learner to solve an arbitrarypractice problem. The higher this number, the more the learner is
students within COSE, which supplied the funding for this study.BackgroundTheoretical FrameworkThe framework of Astin’s, Swail’s, and Tinto’s models are, in their simplest interpretation, aboutstudent involvement in their chosen college and program. Astin’s involvement model shows thatthe academic performance of a student is directly correlated to their involvement level within theircollege or program [2, 3]. Tinto theorizes that poor integration into the many facets of college life,including academically and socially, is an early indication of a student having a higher risk ofdropping out [4-6]. Finally, Swail et al.’s analysis of minority retention in institutions of higherlearning yields the Geometric Model of Student Persistence and
Engineering Students," International Journal of Engineering Education, vol. 27, pp. 1072-1080, 2011.[4] G. M. Novak, Just-in-time teaching : blending active learning with web technology. Upper Saddle River, NJ: Prentice Hall, 1999.[5] S. Freeman, S. L. Eddy, M. McDonough, M. K. Smith, N. Okoroafor, H. Jordt, et al., "Active learning increases student performance in science, engineering, and mathematics," Proceedings of the National Academy of Sciences of the United States of 11 America, vol. 111, pp. 8410-8415, Jun 10 2014.[6] R. R. Hake, "Interactive-engagement versus traditional methods: A six-thousand-student
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
Paper ID #25004High Risk, (with Hope for) High Reward: Lessons Learned from Planningand Hosting an UnconferenceAdam 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 Engineering from University of Delaware and are currently pursuing a Ph.D. in Engineering Education at Virginia Tech. Adam’s research interests include access, equity and social justice in engineering.Dr. Lisa D. McNair, Virginia Tech Lisa D. McNair is a Professor of Engineering Education at Virginia Tech, where she also
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