of 0.85 wasdetermined which provides a p-value of .40 and indicates no significant difference. Comparingengineering retention rates at the fifth semester, a z-score of 0.92 was calculated which provides ap-value of .36 and indicates no significant difference. Moving onto STEM College retention ratesat the third semester, a z-score of 0.60 with a p-value of .55 indicates no significant differencebetween Group 1 and Group 2. And lastly, STEM College retention rates at the fifth semester werecompared between groups with a z-score of 0.87 with a p-value of .38 indicates no significantdifference.Even though Group 2's retention rates declined slightly, overall there was no significant differencebetween the old model and new model with regards to
, “Specialreport: The research agenda for the new discipline of engineering education,” Journal ofEngineering Education, vol. 95, pp. 259–261, 2006.[2] B. K. Hofer and P. R. Pintrich, “The development of epistemological theories: Beliefs aboutknowledge and knowing and their relation to learning,” Review of Educational Research, vol. 67,pp. 88-140, 1997.[3] W. G. Perry, Forms of Intellectual and Ethical Development in the College Years: A Scheme.New York: Holt, Rinehart and Winston, 1970.[4] P. M. King & K. S. Kitchener, The Development of Reflective Judgment: Understanding andPromoting Intellectual Growth and Critical Thinking in Adolescents and Adults. San Francisco:Jossey-Bass, 1994.[5] M. Schommer, “Effects of beliefs about the nature of knowledge
engineering. Groups typically included 4-8 participants and met ona regular basis – anywhere from once every two weeks to once a month. The purpose of thegroup was to familiarize participants recent research in STEM teaching and learning and toprovide them with the knowledge and support to implement new evidence-based strategies intheir classrooms. The guidance given to each group by the project leadership was thatparticipants were expected to implement a new strategy in their course(s) and document thechange in a design memo. These memos include why they chose a particular strategy, how theyimplemented it, what they learned and how they would adjust it for future use, and any tips orpotential pitfalls others should be aware of when implementing the
conclusion of the workshop, theparticipants were further asked to rate the overall workshop on how the components of the entireproject came together. Over the years, participants have strongly agreed that they had a betterunderstanding of engineering careers. Most participants have also agreed that they understoodthe importance of learning science and mathematics. During the early years of the program, inaddition to participant feedback, a surveys were also given to the parent(s)/guardian(s) of theparticipants.2.0 Hands-on Engineering ActivitiesThe AWE program provides exposure to engineering disciplines via hands-on activities that areled by engineering faculty in addition to undergraduate and graduate students in engineeringlaboratories as well as
errors identified from previous data collections and pilot testing.OutcomesThrough PRIME 's development, we have designed and developed a block-based programmingenvironment to introduce programming novices to computer science concepts. PRIME currentlyconsists of 20 activities, split into three units, covering topics typical of an introductoryprogramming course for non-CS majors. We have also successfully integrated PRIME into theMoodle and Canvas learning management systems, facilitating the deployment of PRIME into theclassroom. As a result, over 500 introductory engineering students at North Carolina StateUniversity and over 100 web programming and engineering students at Florida A&M University(a historically Black university) have
following scenarios, rate the objectivity of the character(s). 3a "A hiring manager chooses the top 5 candidates for a job opening and Objectivity Likert after interviewing each hires the one that best fits with the office culture." 3b “An engineer selects their colleagues to train a new facial ID Objectivity Likert algorithm.” 3c "A professor grades papers for students after looking up their grades in Objectivity Likert previous classes." 3d "A judge sets bail for a person accused of a crime using an automated Objectivity Likert system that predicts flight risk and chance of future lawbreaking." 3e "A group of designers test a new product on themselves to make sure it Objectivity
Engineering Education to the New Century. Washington, DC: National Academies Press, 2005.’[2] A. Johri, and B.M. Olds. “Situated engineering learning: Bridging engineering education research and the learning sciences.” Journal of Engineering Education, vol. 100(1), pp. 151-185, 2011.[3] R.A. Engle and F.R. Conant. “Guiding principles for fostering productive disciplinary engagement: Explaining an emergent argument in a community of learners classroom.” Cognition and Instruction, vol. 20(4), pp. 399-483, 2002.[4] M.D. Koretsky, D. Montfort, S.B. Nolen, M. Bothwell, S. Davis, and J. Sweeney. “Program level curriculum reform at scale: Using studios to flip the classroom.” Chemical Engineering Education, vol. 49(1
researchershave supported student success in prior efforts through a deeper understanding of students’abilities and experiences beyond the classroom. Thus, further exploring the impact of non-cognitive competencies on engineering student success has great potential to inform new andexisting strategies to further improve the way engineering is learned, taught, and practiced.References[1] W. E. Sedlacek and J. Adams-Gaston, “Predicting the academic success of student‐ athletes using SAT and noncognitive variables,” J. Couns. Dev., vol. 70, no. 6, pp. 724– 727, 1992.[2] R. C. Atkinson and S. Geiser, “Relfections on a century of college admission tests,” Educ. Res., vol. 38, no. 9, pp. 665–676, 2009.[3] M. Scheidt, R. Senkpeil, J. Chen
and Teaching Styles in Engineering Education.Engineering Education, V. 78 (7), pp. 674-681.Foor, C., Walden, S., and D. Trytten. 2007. “I Wish that I Belonged More in this WholeEngineering Group:”Achieving Individual Diversity. Journal of Engineering Education. 96:2,103-15. https://doi.org/10.1002/j.2168-9830.2007.tb00921.xGoldman, C. 2012. A Cohort-based Learning Community Enhances Academic Success andSatisfaction with University Experience for First-Year Students. The Canadian Journal for theScholarship of Teaching and Learning, 3:2. http://dx.doi.org/10.5206/cjsotl-rcacea.2012.2.3Johnson, S. Luyben, W. and D. Talhelm. 1995. Undergraduate Interdisciplinary ControlsLaboratory. Journal of Engineering Education. 84:2, 133-136. https://doi.org
Women in Information Technology (NCWIT) and, in that role, advises computer science and engineering departments on diversifying their undergraduate student population. She remains an active researcher, including studying academic policies, gender and ethnicity issues, transfers, and matriculation models with MIDFIELD as well as student veterans in engi- neering. Her evaluation work includes evaluating teamwork models, broadening participation initiatives, and S-STEM and LSAMP programs.Dr. Rebecca Brent, Education Designs, Inc Rebecca Brent is President of Education Designs, Inc., a consulting firm located in Chapel Hill, N.C. She is a certified program evaluator and a faculty development consultant. Brent received
the effects of changing variables. In this paper we discuss thefunctionality and capabilities of the tool and provide a few example use cases that can serve as alaunching point for instructors who may consider adopting it in their courses.Fig. 1 - Example of the single-point property calculator.Fig. 2 - Example T-s diagram for the state shown.4. SurveyWe implemented these PYroMat based calculators in a single undergraduate engineeringthermodynamics course as a pilot test and gathered usability data to help guide future tooldesign. Students in the course were trained using both traditional table methods and the onlinetool, and were asked to use the tool for completion of their homework assignments throughoutthe semester. A total of eight
.[2] Cyber Seek, “Cybersecurity Supply/Demand Heat Map,” Cyber Seek Website, 2019. [Online]. Available: https://www.cyberseek.org/heatmap.html. [Accessed: 03-Feb-2019].[3] M. Egele, T. Scholte, E. Kirda, and C. Kruegel, “A survey on automated dynamic malware-analysis techniques and tools,” ACM Comput. Surv., vol. 44, no. 2, pp. 1–42, Feb. 2012.[4] S. Kalra and S. K. Sood, “Elliptic curve cryptography,” in Proceedings of the International Conference on Advances in Computing and Artificial Intelligence - ACAI ’11, 2011, pp. 102–106.[5] A. Cheddad, J. Condell, K. Curran, and P. Mc Kevitt, “Digital image steganography: Survey and analysis of current methods,” Signal Processing, vol. 90, no. 3, pp
evolve both the CT-integrated activities and the research instruments for the most effective curriculum design. The curriculum will follow design principles and inclusive engineering experiences from Cunningham and Lachapell [21] and follow a 5-E constructivist model of engage, explore, explain, elaborate and evaluate [22]. CT thinking practices were pulled by the university research team from Weintrop et al.’s Taxonomy of CT [23] for integration with STEM. Those practices include Data Collection, Data Creation, Understanding a System as a Whole, Understanding the Relationship Between Parts of a System, Preparing Problems for Computational Solutions, a bit of Programming, and Using Computational Models to Solve a Problem. Data Practices
middle school science classroom can video games and alternative text heighten engagement and learning for students with learning disabilities?. Learning Disability Quarterly, 37(2), 87-99.3. Israel, M., Marino, M., Delisio, L., & Serianni, B. (2014) Innovation configuration on supporting content learning through technology for K-12 students with disabilities CEEDAR Center, University of Florida: Gainesville, FL4. Basham, J. D., Smith, S. J., Greer, D. L., & Marino, M. T. (2013). The scaled arrival of K-12 online education: Emerging realities and implications for the future of education. Journal of Education. 193(2), 51-60.5. Vasquez, E. (2018, July). Keynote: Leveraging innovation for enhanced supports for
, Race, Rigor, and Selectivity in U.S. Engineering: The History of an OccupationalColor Line. Cambridge, MA: Harvard University Press, 2010.[4] E. J. Woodhouse, “Curbing overconsumption: Challenge for ethically responsible engineering,”IEEE Technology and Society Magazine, v ol. 20, no. 3, pp. 23-30, 2001.[5] M. Chua, “Unstable equilibrium: The privilege of being oblivious,” ASEE Prism, S eptember2015. [Online]. Available: http://www.asee-prism.org/unstable-equilibrium-sep/http://www.asee-prism.org/unstable-equilibrium-sep/. [Accessed December 3 2018].[6] joint submission at ASEE conference, omitted for blind review since these professionalcommunities overlap.[7] J. B. Bennett, Collegial Professionalism: The Academy, Individualism
centralimportance of electromagnetics, we believe a meaningful, hands-on experience in this area iscrucial for the success of undergraduate electrical engineering students.Introduction: Unless you are reading this on a handwritten scroll in a cave by candlelight, there is agood chance the following equations are directly impacting your life this very moment: ∇ ∙ 𝐃 = 𝜌𝑉 ∇∙𝐁 =0 ∇ × 𝐄 = − ∂𝐁⁄∂𝑡 ∇ × 𝐇 = 𝐉 + ∂𝐃⁄∂𝑡.These are known as Maxwell’s equations, which were described by James Clerk Maxwell in the1860’s and form the foundation of the classical electromagnetics. They describe how
Academy of Engineering (NAE) for ”For innovations in nanomanufacturing with impact in multiple industry sectors”; Society of Manufactur- ing (SME)’s David Dornfeld Blue Sky Manufacturing Idea Award for ”Factories-In-Space”; SME-S.M. Wu Research Implementation Award; three Edison Awards for Innovation; Tibbett Award by the US Small Business Association sponsored by EPA for successful technology transfer; R&D 100 Award, (the ”Os- car” of innovation); Fellowships to the International 1. Academy of Production Engineering (CIRP), 2. the American Society of Materials (ASM), 3. the American Society of Mechanical Engineering (ASME), and 4. the Institute of Physics (IoP), London, England; multiple best paper awards
with thesoftware/hardware of the visualization wall. II. 3D Visualization Creation in Autodesk® Maya® Using PythonThe computer script developed in Python allows for a streamlined representation ofmathematically complex functions in a 3D-environment – enabling the instructor with a tool thatbrings the textbook functions/formula into the digital domain. The computer script constructs avector field in Maya®'s 3D-Space by employing the openly available ‘numpy’ library. Afterimporting the library into Maya®, creation of a meshgrid space [see Fig. 2(a)] and linear algebra (a) (b) Fig. 2. Graphical representation of a meshgrid space (a) and a vector field generated in
., and Goodenough S., “The efficiency of corona wind drying and its application to the food industry,” Journal of Food Engineering 2006; 80:1233-1238. 3 Bardy, E., Hamdi M., Havet M., and Rouaud O., “Transient Exergetic Efficiency and Moisture Loss Analysis of Forced Convection Drying with and without Electrohydrodynamic Enhancement,” Energy 2015: 89:519-527. 4 Ahmedou S., Havet M., “Effect of Process Parameters on the EHD Airflow,” Journal of Electrostatics 2009; 67:222-227. 5 Bardy E., Manai S., Havet M., and Rouaud O., “Drying Kinetics Comparison of Methylcellulose Gel Versus Mango Fruit in Forced Convective Drying with and without Electrohydrodynamic Enhancement,” Journal of Heat Transfer 2016; Vol
discussions that followed the presentations ofpapers, I drew on notes that I took or, for the sessions I was not able to attend, obtained from themoderator or organizer (or both). Using this method, I created discussion notes for all technicalsessions. Each set of notes begins with a brief synopsis of the general theme(s) of that session.Most of the content of the notes is questions posed by the papers and discussion that might be thesubject of further research in the broad range of areas addressed within LEES scholarship. Notesfor all 13 sessions appear as appendices to this paper. Figure 1 below provides illustrativeexcerpts from the discussion notes for session U434B: Diversity and Inclusion: Concepts, MentalModels, and Interventions. U434B
simpler design canvas model. The essential ingredient in the development of thedesign canvas tool of [9] is the S*Metamodel proposed in [25]. Specifically, according to [25], theS*Metamodel constitutes a minimal representation with which an engineering system can bedescribed accurately. This S*Metamodel framework provides the foundation for the developmentof the design canvas wherein the smallest amount of data is needed to represent the underlyingsystem and characterize the relationship among its disparate components. See [25] for detailedexplanations about how the S*Metamodel framework is enacted to design models of engineeringsystems.In creating a business or design canvas tool with the aid of S*Metamodel, it is essential to identifythe
References[1] Committee on Science, Engineering, and Public Policy (COSEPUP) and Policy and Global Affairs (PGA). (2006). Rising above the gathering storm: Engergizing and employing America for a brighter economic future. Washington DC.[2] National Academy of Engineering (NAE). (2004). The engineer of 2020: Visions of engineering in the new century. Washington DC: National Academies Press.[3] National Academy of Engineering (NAE). (2005). Educating the engineer of 2020: Adapting engineering education to the new century. Washington DC: National Academies Press. https://doi.org/10.1115/ESDA2008-59324 10[4] Bureau of Labor Statistics. (2015). Occupational outlook handbook.[5] York, T. T., Gibson, C., & Rankin, S. (2015). Defining and
that engineering students have to have an innate initial propensity inmathematics versus an ability that is learned. For these reasons, many students who did not fare well in the traditional high schoollevel math sequence, attempting to try a similar path in college may be settingthemselves up for a repeat conclusion. According to Snyder and Dillow (2011), morethan 1.7 million students enter the community college system. Based primarily uponperformance on a placement test, approximately 60% of these students are placed intoone, if not more, developmental mathematics course(s). Fully 80% of them do notcomplete any college-level mathematics courses within as many as three years (Bailey,Jeong, & Cho, 2010).At our North Dakota Tribally
Paper ID #26340Work in Progress: Awarding Digital Badges for Demonstration of StudentSkillsDr. Joan B. Schuman, Missouri University of Science & Technology Dr. Joan Schuman is an Associate Teaching Professor in the Engineering Management and Systems Engineering Department at Missouri S&T. She earned her Bachelor of Science degree in Mechanical Engineering from University of Arkansas and completed her Ph.D. in Polymer Science and Engineering from the University of Southern Mississippi. Schuman is a Project Management Professional (PMP) certified through the Project Management Institute. She worked for several years
in others to continue their efforts, when obstacles or oppositions are encountered, until the goal is achieved.• Inspiring Others: This leader induces positive emotions within a group/person to achieve a goal or become stronger/better individuals. The distinction between a motivator and an inspirer is that inspiration serves to create a positive feeling, but does not necessarily cause the person(s) to apply themselves to achieve the goal/improvement.• Serving Others: The person serves a community or the needs of society. They are not leading for personal gain, but to help those in need or improve societal conditions. They solve problems in society through their technological or scientific advancements. They use the
goals of this research are to have colleagues from other departments createvideos for their areas and to make the videos public, so that any instructor or student has accessto the videos.AcknowledgementsThe research in this paper was supported by a Graduation Initiative 2025 Innovation Grant fromCalifornia State University, Fullerton.References[1] S. H. K. Kang, "Spaced Repetition Promotes Efficient and Effective Learning: Policy Implications for Instruction," Policy Insights from the Behavioral and Brain Sciences, vol. 3, no. 1, pp. 12-19, 2016.[2] S. B. Velegol, S. E. Zappe and M. L. Brannon, "Online modules enable prerequisite review and mastery during design courses," in Proceedings of the 121st ASEE Annual Conference &
growth. By developing an assessment framework thathelps administrators clearly understand and develop a path to assess both student-learning andstudent-growth objectives greater benefits will come from first-year engineering programs.ReferencesBates, J. S. (2014, June), A First-Year Course Based on Conceptual Design Paper presented at2014 ASEE Annual Conference, Indianapolis, Indiana.Brawner, C., Camacho, M., Long, R., Lord, S., Ohland, M., and Wasburn, M. (2009) Work inProgress – The Effect of Engineering Matriculation Status on Major Selection. ASEE / IEEEFrontiers in Education Conference, San Antonio, TX.Brozina, C. (2018). Measuring commuter student support and success through academicintegration. In 2018 IEEE Frontiers in Education (FIE
National Institutes of Health under Award NumberR25EB012963. The content is solely the responsibility of the authors and does not necessarilyrepresent the official views of the National Institutes of Health.References1 S. Purzer, N. Fila and K. Nataraja, "Evaluation of Current Assessment Methods in EngineeringEntrepreneurship Education", Advances in Engineering Education, vol. 5, no. 1, 2016.2 B. Przestrzelski and J. DesJardins, "The DeFINE Program: A Clinical Immersion forBiomedical Needs Identification", in American Society for Engineering Education ConferenceProceedings 2015, Seattle, 2015.3 B. Moyer, "Collaborative Efforts to Encourage Entrepreneurial Mindsets", in American Societyfor Engineering Education Conference Proceedings 2016, New
they may be able to trackthe impact of the integrated project as students’ progress through the curriculum.References 1 Striebig, B., Ogundipe, A., and Morton, S. 2014. Lessons in implementing sustainability courses into the engineering curriculum. 121st ASEE Annual Conference & Exposition, June 15-18th, 2014, Indianapolis, IN. 2 Striebig, B. 2016. Applying US EPA sustainability criteria to capstone design. Engineering for Sustainability. ASEE SE Section Annual Conference, March 13-15, 2016. Tuscaloosa, AL. 3 Striebig, B. and Morton, S. 2016. A Sustainability Indicators Based Curriculum. Engineering for Sustainability. ASEE SE Section Annual Conference, March 13-15, 2016. Tuscaloosa, AL. 4 Striebig