Paper ID #36652Scaling to a Distributed Implementation of the Air ForceJROTC Cyber Academy (Evaluation)Anni ReinkingMonica McGill (President & CEO) Dr. Monica McGill is the Founder, President, and CEO of CSEdResearch.org, a 501(c)(3) non-profit focused on improving K-12 Computer Science education for all children by enabling and disseminating exemplary, evidence-driven research. © American Society for Engineering Education, 2022 Powered by www.slayte.com Scaling to a Distributed Implementation of the Air Force JROTC Cyber Academy
-related activities anddevelop a scale to measure self-directedness in CEPD settings.References[1] S. B. Merriam and L. M. Baumgartner, Learning in adulthood: A comprehensive guide. John Wiley & Sons, 2020.[2] K. Poscente, "The Three Dimensions of Learning: Contemporary Learning Theory in the Tension Field between the Cognitive, the Emotional and the Social. Author: Knud Illeris," The International Review of Research in Open and Distributed Learning, vol. 7, no. 1, 2006.[3] E. A. Erichsen and C. Goldenstein, "Fostering collaborative and interdisciplinary research in adult education: Interactive resource guides and tools," SAGE Open, vol. 1, no. 1, p. 2158244011403804, 2011.[4] P. Sanger and I. Pavlova, "Applying
). Evaluation of parallel analysis methods for determining the number of factors. Educational and Psychological Measurement, 70(6), 885-901.Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research and Evaluation, 10(7), 1–9.Creswell, J. W. (2015). A concise introduction to mixed methods research. Los Angeles, CA: Sage Publications.Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334.Dalal, M., Archambault, L., & Carberry, A. (2019). Exploring engineering and social sciences researchers’ ways of thinking in the context of interdisciplinary
enabled by the structure ofthe technical curriculum which is broken down into fine-grained learning activities called‘topics.’ These topics are arranged into a tree structure where the recommended learning order ismade explicit [3], see Figure 1. Each topic has its own learning outcomes, learning resources andassessment. Some are automatically assessed online; others require submissions that are markedby faculty. A topic is intended to take a typical student around three hours to complete. Figure 1: The CSU Engineering topic tree. The tree contains 689 distinct topics. Student progress from left (the root of the tree) to right (more advanced topics). Colours represent sub-branches/specialties.This structuring of the curriculum
, assessment methods, the students' backgrounds,and their feedback.IntroductionProject-based learning, particularly design-based projects, represents an extraordinarily effectivepedagogical method [1]. Similar to problem-based learning, design-based projects engagelearners actively in solving real-world challenges. This approach is widely acknowledged amongengineering educators as a means of shifting from passive to active learning paradigms withinthe classroom [2] [3] [4]. In this paper, I elucidate the integration of a design project into a bridgeexperiment within a Statics class, exemplifying the practical application and benefits of thiseducational approach.Class ProfileStatics, a fundamental branch of mechanics within engineering education, holds
the SMU Maker Education Project, a project based out of the Caruth Institute of Engineering Education at SMU’s Lyle School of Engineering. c American Society for Engineering Education, 2019 Developing an Engineering Identity through Immersive Design Challenges in Academic Makerspaces: A Qualitative Case Study IntroductionAcademic makerspaces are becoming commonplace in engineering schools across thecountry [1-3]. These spaces, often blending aspects of community makerspaces withaspects of traditional engineering school spaces (e.g., machine shop, wood shop), areplaces where creative individuals have access to a variety of digital and physical tools andcan work
engaging in the persona-journey map cycle inform empathy, among engineering educators, for students in the context of designing or redesigning core engineering courses? 3) What factors affect the utilization and outcomes of persona and journey mapping activities among engineering educators when designing or redesigning core engineering courses?Literature ReviewConceptualizing EmpathyIn the simplest terms, empathy represents the experience of understanding, experiencing, and/orfeeling as a result of another’s internal state. However, within this definition, empathy has takenmany forms over the years [5]. The experience can be affective, as matching or feeling as a resultof another’s feelings, experiences, or emotional state [5]. This
electronics). One institution mandated that all mechanical engineeringstudents attend tutoring, or informal study sessions, for pre-calculus and calculus. Tutoring isprovided through a variety of structures, including group tutoring and more personalized,intensive “peer-to-peer” tutoring.We found evidence that two of the four schools had a study hall of some sort. For example, theNSBE chapter at Big State University, offered twice weekly study halls and the women inengineering group and the Black men’s LLC at Southern State offered study halls. Servicesoffered at the study institutions are summarized in Table 3.Table 3. Services for Minority Students at Study Institutions Big State Large State
figure out why something is so, without spoonfeeding it.”) 5. Sustainability Education as an ‘afterthought’ (eg. “It usually seems like more of an afterthought and not a main focus”) • Core Competency Self Evaluation: Students were asked to self evaluate their competencies according to the Engineering One Planet framework, given examples of specific learning outcomes (Figure 3). Students rate their abilities least highly in categories like ‘materials selection’ and ‘environmental impact assessment’, which require both sustainability and discipline specific technical skills and knowledge. • Student Opinions: Students were asked to report agreement or disagreement with a series
. Pimor, "The student voice in higher education curriculum design: is there value in listening?," Innovations in Education and Teaching International, vol. 52, no. 6, pp. 663-674, Nov 2 2015, doi: 10.1080/14703297.2014.910128.[3] M. A. Vigeant and A. F. Golightly, "How much does student perception of course attributes impact student motivation?," presented at the ASEE Virtual Annual Conference, Online, 2020. Available: https://peer.asee.org/34733.[4] American Instititute of Chemical Engineers, "Chemical engineering academia-industry alignment: expectations about new graduates," New York, NY, 2015. [Online]. Available: https://www.aiche.org/sites/default/files/docs/conferences
of this course since then. He is currently leading a multi-disciplinary team of faculty from TCNJ’s School of Engineering and the Department of Sociology forassessment of the Professional Formation of Engineers (PFE). Professor Sepahpour did his undergraduatestudies at TCNJ and has advanced degrees from New Jersey Institute of Technology (NJIT). He is therecipient of two (2) Best Paper Awards from the American Society for Engineering Education (ASEE)Divisions of Mechanical Engineering (ME) and Experimentation and Laboratory Oriented Studies (DE-LOS). He has served as the Chair of the Divisions of ME and DELOS of the ASEE. Prof. Sepahpour isan active member of American Society of Mechanical Engineers (ASME) and ASEE and has publishedand
holds a B.S. in Mechanical Engineering from University of Wisconsin-Milwaukee and a M.S. in Mechanical Engineering from Georgia Institute of Technology. Prior to beginning his doctoral studies, Hassan worked for five years at General Electric where he graduated from their Edison Engineering Development Program (EEDP) and then worked as a gas turbine fleet management engineer. In addition to his technical role, Hassan supported the recruiting, interview, and selection process of the EEDP Program, where he mentored interns, co-ops and Edison associates from the Middle East and Africa regions by developing and teaching a technical training cur- riculum, providing guidance for graduate school applications, and providing
Engineering program. We will discuss the need for such an application,its development, and the results of our pilot study. Emphasis will be placed on the effect that the AGPhas on student outcomes and important metrics. The role of the AGP within the broader context ofstudent resources will also be considered. Lessons learned from our pilot study will be reviewed inpreparation for a full implementation and evaluation of the AGP.I. IntroductionThe field of Engineering Graphics has evolved substantially over the last 50 years. From the days ofthe drafting board, we have seen the emergence of primitive Computer Aided Design (CAD) toolsgive way to 2-D drawing programs and eventually to 3-D solid modeling packages. Parametric solidmodeling, sometimes
position within a geospatial career cluster.Skills include academic knowledge of data acquisition technologies, data quality, data analyticsand modeling, and application of geospatial data science and software tools for adding value togeospatial data. The core abilities at this level involve the use of geospatial analytics tools torender valid and reliable information from geospatial data. Such skills are generally acquiredfrom a 4-yr degree program and further galvanized in the workplace through interaction withprofessionals of the various sectors of the geospatial industry.Level 3 – expert skills - denotes occupation-specific competencies and requirements at thelicensed professional level. Competencies include analytical and technical skills for
learning experiences. She has authored numerous engineering-focused teacher practitioner articles, chapters, and research articles, and presents her research regularly through the ASEE Pre- College Engineering Education Division, a division she has chaired. Her current research includes investigating how K-5 students plan, fail, and productively persist, and how simulated classroom environments can be used to help pre-service and in-service teachers practice facilitating discussions in science and engineering.Jamie Mikeska © American Society for Engineering Education, 2022 Powered by www.slayte.com Simulated Engineering Teaching Experiences
base perspective of first-generation college students by providing asset-based approaches to understanding this population. Dina is interested in understanding how first-generation college students author their identities as engineers and negotiate their multiple identities in the current culture of engineering.Dr. Jessica Mary Smith, Colorado School of Mines Jessica M. Smith is Associate Professor in the Engineering, Design & Society Division at the Colorado School of Mines and Co-Director of Humanitarian Engineering. She is an anthropologist with two major research areas: 1) the sociocultural dynamics of extractive and energy industries, with a focus on cor- porate social responsibility, social justice, labor
participation in extracurricular activities is associated with adaptive self- regulation of goals, academic success, and emotional wellbeing among university students,” Learning and Individual Differences, vol. 73, pp. 8–15, 2019.[63] A. M. Kanar and D. Bouckenooghe, “Prompting metacognition during a job search: Evidence from a randomized controlled trial with university job seekers,” Applied Psychology: An International Review, vol. 70 ED-3, pp. 955–985, 2021.
internationally, STEM majors experience more attrition and longer times tograduate than other majors. The high rate of attrition has been documented from a public policystandpoint at various universities in the United States, United Kingdom, Australia, and SouthAfrica [1]. The cost of attrition is significant. Students who attrite are personally burdened by thecost of a partial education when the costs of college are rising [2] and by the loss of income froma lucrative STEM career. Socially, attrition of STEM majors reduces the size of the workforce ata time of high demand for skilled college graduates [3]. The cost of attrition is particularlydetrimental to underrepresented minority (URM) groups who attrite in larger numbers [4], and tothe diversity of
policies are continuously evolving across federal, state, and regionallevels. These new practices, intended to provide affordable, reliable, and sustainable electricenergy to modern life and commerce, ultimately led to the “Smart” electricity grid. “Smart Grid”is an Electrical Grid with Automation, Communication, and IT systems that can monitor powerflows from points of generation to points of consumption and control the power flow to matchgeneration in real-time [3 ]. With the goal of providing reliable, high-quality electric power todigital societies in an environmentally friendly and sustainable way, the smart grid is regarded asan enabling engine for our economy, environment, and future [2, 4]. However, achieving thegoals of Smart Grid is
models. We also found studentsenjoyed and wanted more OEMPs given in their classes. Implications include creating moreOEMPs for different types of engineering science courses and implementing a discussion orreflection for students after they turn in the problems.IntroductionCreating and analyzing models of physical systems is a core activity of engineering. In moderntimes, much of this work is done with computer software, yet the backbone of these analysisprograms are mathematical models. Students learn how to use and manipulate these models inthe core technical courses of their discipline, which we call engineering science courses. Inintroductory engineering science courses--such as fluid mechanics, thermodynamics, statics, andmechanics of
intention of engineering learning laboratories is to relate theoryand practice, motivate students, and provide a practical experience in a largely theoreticaleducation [3]. The end-of-course surveys indicate that laboratories in the course under questionfail to provide this connection to the theory covered in lecture and indicate a general lack ofstudent motivation regarding the laboratories, while the calls from industry, the local government,and University of Calgary administration for more industry-relevant experiential learning inundergraduate education indicates that the practical experience provided by the laboratories isinsufficient in meeting students’ educational needs in a professional program. Therefore, a needexists to incorporate
,” Journal of Engineering Education, vol. 105, pp. 540-559, 2016.[2] L. d. A. S. Monteiro, J. Cruz, & A. Franco, "The relationship of personality, study practice and learning environment on excellent engineering students.," Analise Psicologica, vol. 33, no. 1, pp. 97-111, 2015, doi: 10.14417/ap.953.[3] C. Peterson and M. E. Seligman, Character strengths and virtues: A handbook and classification. Oxford University Press, 2004.[4] N. A. O. Kocak, S.S. Erdem, M. Sinan, M.Z. Younis, & A. Erdogan, "The Role of Family Influence and Academic Satisfaction on Career Decision-Making, Self-Efficacy, and Happiness," International Journal of Environmental Research and Public Health, vol. 18, 2021, doi
. Mavriplis, & H. Anis, “An entrepreneurship education and peer mentoringprogram for women in STEM: mentors’ experiences and perceptions of entrepreneurial self-efficacy and intent,” International Entrepreneurship and Management Journal, 16(1), 43-67,2020.[17] K.D. Kendricks, A.A. Arment, K.V. Nedunuri, & C.A. Lowell, “Aligning Best Practices inStudent Success and Career Preparedness: An Exploratory Study to Establish Pathways to STEMCareers for Undergraduate Minority Students,” Journal of Research in Technical Careers,3(1),27-48, 2019.[18] M. Vandermaas-Peeler, P.C. Miller, & J.L. Moore, J. L., “Excellence in mentoringundergraduate research,” Washington D.C.: Council on Undergraduate Research, 2018.[19] L. Varghese, & L. Finkelstein
results in formativeand summative evaluations" (p. 577) [2]. This definition places emphasis on the outcomes ofstudent learning. Learning outcomes are found to be the most widely used measure of learningeffectiveness [3], and can be represented by students’ level of academic achievement (measuredby test scores, e.g., [4, 5]) and skill development [6]. These measures can be actual or perceivedlearning outcomes (e.g., [7]). The outcomes-based interpretation of effectiveness can also beseen in the definition of “effective learning experiences” in the context of engineeringeducation—"those that support the development of deep understanding organized around keyconcepts and general principles, the development of skills, both technical and professional
Congress: Executive Summary,” Jun. 2004.[3] L. Lynch, New Directions for High School Career and Technical Education in the 21st Century. ERIC Clearinghouse on Adult, Career, and Vocational Education, Center on Education and Training for Employment, College of Education, the Ohio State University, 2000.[4] Mass. Gov. DESE, “Career Technical Education,” Career Technical Education - College, Career and Technical Education. Accessed: Mar. 03, 2023. [Online]. Available: https://www.doe.mass.edu/ccte/cvte/default.html[5] R. L. Lynch, “New Directions for High-School Career and Technical Education in the United States,” in International Handbook of Education for the Changing World of Work, R. Maclean and D. Wilson
barriers requires a comprehensiveunderstanding of sustainability that connects theoretical knowledge with practical applications[20].Despite these challenges, there are promising developments in the field. For instance, theintegration of social sustainability into curricula has been shown to improve students'understanding of community-centered design, enhancing their ability to create innovativesolutions that address local needs [30]. Additionally, hands-on, experiential learning opportunities,such as those provided by international collaborative projects, significantly contribute to studentlearning and awareness of social impact [9]. These approaches enhance technical competenciesand inspire a sense of responsibility and leadership among
study their preferences and therefore acquire knowledge to build age appropriate userinterfaces to control the Online Laboratory in order to make these more attractive andtherefore improve the learning experiences.Together with national and international partners we are carrying out a project that placesstudents of technical secondary schools in Austria in the role of remote laboratory developersunder the supervision and tutoring of the project staff. Students are actively involved in thescientific process and actively participate in the acquisition of knowledge.The project pursues three main objectives: 1. Studies on age-appropriate requirements for the use of Online Laboratories at secondary schools. 2. Peer feedback to improve the
vehicles, structural elements in building designs, bone scaffold designs in biomechanics, and ahost of other applications. However, conceptualizing torque can often be difficult resulting innumerous misconceptions when solving engineering problems.In engineering education, knowledge acquisition traditionally stems from a formalisms first (FF)pedagogy that mastery of mathematical and scientific formalisms (i.e., symbolic notations ofequations, diagrammatic representations, technical jargon, etc.) is required before successfulapplication of that knowledge. In essence, the procession of learning and conceptualdevelopment requires knowledge and mastery of these formalisms before exhibiting competencyin application and practice. Nathan [1] showed
presented in Figure 1.1) Internship projects provide authentic opportunities to address real clients’ needs. Products aredeveloped through an iterative engineering design process that centers universal design andempathy, and the program is long enough to allow for product completion and delivery.2) Work environment aims to replicate real-world engineering design work environments(although in educational settings) by prioritizing intern ownership and agency over projectdesign, decision-making, and process, emphasizing collaboration with other interns and clients,and holding interns accountable for their work plans, deadlines, and deliverables.3) Support and training are essential to the process and provided by adult and near-peer mentorswho provide
Authority in Peer Review Impact STEM Students: A Comparative Assessment of Writing and Critical Thinking in Kinesiology Courses," Across the Disciplines, vol. 18, no. 3/4, p. 305–319, 2021.[8] A. Rollins, K. Lillvis, S. Diehl, S. Owens and C. McComas, "Improving Students’ Comprehension of STEM Writing Conventions," WLN: A Journal of Writing Center Scholarship, vol. 45, no. 1/2, pp. 10-17, 2020.[9] J. R. Gallagher, N. Turnipseed, Y. J. Yoritomo, C. M. Elliott, S. L. Cooper, J. S. Popovics, P. Prior and J. L. Zilles, "A Collaborative Longitudinal Design for Supporting Writing Pedagogies of STEM Faculty," Technical Communication Quarterly, vol. 29, no. 4, p. 411–426, 2020.[10] F. M. Makhanya, L. Qwabe and K. Bryant