thorough quality assessment of the literature. The process of SLR, asdescribed by Grant & Booth [24], involves defining the research question before collectingliterature from relevant databases, filtering it by relevance, categorizing it, assessing its quality,and synthesizing findings.Searching Strategies and Database Selection Procedure This SLR utilized the Engineering Village and EBSCO platforms to search for relevantarticles. Four databases were selected for this study. The Engineering Village is an online information platform known for its high-qualitysearch and discovery features in the engineering field [25]. Therefore, this platform was used toaccess Inspec and Compendex databases. In comparison, the EBSCO platform is an
]. This included some of the elements for which students were given points fortheir community contributions grade (e.g., video problem walkthroughs, class notetakers,summarizing unit videos), but also changes to other assessments that encouraged collaboration.Two of the six homework assignments in the course were converted from individual to groupsubmissions. Peer review of certain problems was also implemented as part of the homeworkgrade. In-class activities, through case-based learning, also facilitated classroom debate aroundengineering calculations and the interpretations thereof. This course element also contributed toall three types of presence in the CoI framework, by promoting a sense of realness betweenstudents through increasing and
-long projectreview presentation and discussion. Each review has EWB-USA mentors, Cal Poly, SLO faculty,and EWB Cal Poly, SLO students, and alumni in attendance. Typically, 30 to 40 people attendthese virtual meetings. Project teams present their current project plans on assessment andproject design and are able to get detailed feedback from everyone in attendance. Project ReviewNight is meant to allow teams to meet and find advisors in a variety of fields of expertise and isintended so that teams could identify and recognize problems early on in the project process.Lastly, this process allows for all members of EWB Cal Poly, SLO to periodically get updates onthe status of the other project teams, as well as making sure teams organize their
Carlowicz Samantha Carlowicz is a Master of Science in Engineering student with an Aerospace and Mechanical Engineering concentration at Parks College of Engineering, Aviation, and Technology of Saint Louis University (SLU). She also holds a Bachelor of Science in Aerospace Engineering from SLU. She is currently a Graduate Research Assistant developing a guided risk assessment for CubeSat deployable systems. Her research interests include improving the reliability of space systems, design of complex mechanical systems, and how to improve mission success rates for novice spacecraft developers. She will begin her career as an Electronics Packaging Design and Analysis Engineer for Boeing Satellite Systems.Justin Fantroy
and to allow for more feedback from theinstructor. Currently, the course is required for all Electrical and Computer Engineeringmajors, and it has been added to Civil Engineering’s curriculum, as well. If the otherthree departments in the College adopt the course, plans are to teach eight sections asemester. Assessment in ENGI 2304The UH Writing Center conducted end-of-the-semester surveys in all four sections ofENGI 2304 in Fall 2004. The results of the surveys are presented in Tables 1 and 2.Table 1 provides the summary of responses to 22 statements related to the students’feelings about their success in achieving the course outcomes. Table 2 contains self-reported data concerning the students’ familiarity with
cultural andinstitutional issues, which include using universal/global engineering issues in lieu ofengineering problems and formalized collaboration.This paper reports on a field study assessing self-efficacy (for engineering and for teamwork)and identity as an engineer as mediating variables to the outcome of commitment to anengineering career across one-semester for two-groups. The comparison condition was a moretypical chemistry inquiry curriculum that was operationalized as business-as-usual (BAU).Specifically, we asked, what impact does use of the career-forward curriculum have on self-efficacy, identity as an engineer and commitment to an engineering career, and in particular, forstudents identifying as female or as a member of an
of digital badging to assess hands-on skills, argumentation practices, student understanding of mathemat- ics in chemistry in thermodynamics and kinetics, and student understanding of the chemistry of climate science. Trained as a physical chemist, she developed a passion for research at the interface between mathematics and chemistry that continues to inspire her to this day. She is a member of IUPAC’s Com- mittee on Chemistry Education and was an author on the IUPAC technical report that contributed to the landmark decision to redefine the mole. She served as an Associate Editor for the Journal of Chemical Education for 7 years, focusing on manuscripts pertaining to chemistry education research. Towns began her
a professor at the University of Colorado Boulder in the Department of Civil, Envi- ronmental, and Architectural Engineering (CEAE) and Director for the Engineering Plus program. She has served as the Associate Chair for Undergraduate Education in the CEAE Department, as well as the ABET assessment coordinator. Professor Bielefeldt was also the faculty director of the Sustainable By Design Residential Academic Program, a living-learning community where students learned about and practice sustainability. Bielefeldt is also a licensed P.E. Professor Bielefeldt’s research interests in en- gineering education include service-learning, sustainable engineering, social responsibility, ethics, and diversity
instrumentation for combustion science, novel methods for environmental re- mediation, and microelectronics including surface acoustic wave (SAW) devices. In addition to teaching in the field of electrical engineering, he coordinates the senior engineering capstone program which is a multidisciplinary, two-semester course sequence with projects sponsored by industrial partners. Within this role, he focuses on industrial outreach and the teaching and assessment of professional skills. He received his Ph.D. and S.M. degrees from MIT in 2007 and 1999, respectively, and a B.S.E.E. degree from the University of Virginia in 1997.Dr. AMM Nazmul Ahsan, Western Carolina University Dr. Ahsan is currently an Assistant Professor in the
chain management and logistics focused initiatives. Her graduate and undergraduate students are integral part of her service-learning based logistics classes. She teaches courses in strategic relationships among industrial distributors and distribution logistics. Her recent research focuses on engineering education and learning sciences with a focus on how to engage students better to prepare their minds for the future. Her other research interests include empirical studies to assess impact of good supply chain practices such as coordinated decision making in stochastic supply chains, handling supply chains during times of crisis and optimizing global supply chains on the financial health of a company. She has
Annual Conference.11. Oluwajobi, F., Nhat, D. and Malekmohammadi, A (2018). Modified Manchester modulation format for high-speed optical transmission systems, IET Optoelectronics, 12,4, 202-207, 201812. Davis, K., and Cline, R. (2009). Improving Course Comprehension through Experiential Learning. Construction Research Congress 2009: Building a Sustainable Future, 339, 1409-1418.13. Farrow, C., Ben, Liu, J., & Tatum, M. C. (2011). Curriculum delivery and assessment for net generation construction students. International Journal of Construction Education and Research, 7(November), 109–125.14. Frank, M., Lavy, I., & Elata, D. (2003). Implementing the project-based learning approach in an academic engineering course
collections of validated, standardized conceptualquestions. Due to their multiple-choice nature, students may guess the correct answer toquestions, leading to an inaccurate assessment their conceptual understanding [3]. However,concept inventories remain useful for testing a large number of students, comparing results acrossuniversities, and investigating how performance on the test correlates with other variables (e.g.,grades or demographics) [10]. Following the seminal research with the Force Concept Inventory,researchers typically give concept inventories in a pre/post-test format and calculate normalized post−pregain statistics, hgi = max−pre , to measure how many concepts students learn as a percentage ofhow many that they
thatcould provide residents access to clean water. During the integrated unit, students took a pre-,mid-, and post-survey. The items on the survey came from four pre-existing surveys: (1) ThePatterns of Adaptive Learning Survey [3], (2) Mathematical Attitude Assessment [4], (3)Engineering Skills Self-Efficacy Scale [5], and (4) Intersectionality of Non-normative Identitiesin the Cultures of Engineering Survey [6]. The post-interviews captured students' perceptions oftheir motivations regarding engineering and mathematics.The quantitative and qualitative data created a holistic understanding of how students'perceptions of their abilities shifted throughout the integrated unit. Quantitative data indicated adecrease in self-efficacy but an improvement
the future. And yet earned achievements feel different than claimedachievements. We chose not to award any badges or colored bubbles for self-assessed behavior,but we did not feel that the team came to a philosophical conclusion about which was better.Practical question: How do you avoid upsetting students who must have every box checked off?Check boxes next to optional things can make some completionist students feel like they arerequired which is detrimental to the metacognitive skills we are trying to instill. Students mustlearn themselves how to identify and correctly assess the values of an adventure task that inclinestudents to spend more time with a subject.Practical question: What comes first? The application of the concept or the
conflict or low psychological safety, but their perception may be significantlyinfluenced by one or more specific individuals. One goal of this work is to describe themicroaggression landscape to better frame the process of detecting microaggressions using theseteam process outcomes.Theory on coded language offers us one opportunity to assess marginalization in teams. Much ofthe research on coded language focuses on the way coded language reinforces racism and whitesupremac . So e en though race and racism are per asi e, there are a number of code ordswhere we talk about race without naming race. It is far more normal to see words such as urban, inner cit , and disad antaged than to see hite, o erad antaged, or pri ileged. Coded language
engineering education and serves as the faculty director for a scholarship program to recruit and support high-performing, low- income civil engineering students. Dr. Watson is also interested in understanding and assessing students’ cognitive processes, especially development of cognitive flexibility and interactions with cognitive load. Dr. Watson is the proud recipient of seven teaching awards and six best paper awards. She was previously named the Young Civil Engineer of the Year by the South Carolina Section of ASCE and currently serves as a Senior Associate Editor for the Journal of Civil Engineering Education.Dr. Simon Thomas Ghanat P.E., The Citadel Dr. Simon Ghanat is an Associate Professor of Civil and
others found increase access and lower stress. As part of a larger study, thispaper examines three students’ experiences taking mechanical engineering courses during thepandemic; the analysis serves as a pilot study for a larger research project that encompassesinterviews with 23 students across two universities in the U.S. and South Africa. As part of thepilot, this paper assesses the value of an a priori codebook based on six previously identifieddimensions of engineering culture [1], which serve as the framework for this study, as a means tounderstand what is entrenched and what is malleable.Literature ReviewResearch on engineering culture has explored its values, beliefs, and underlying ideologies of theculture (e.g., meritocracy, rigor
Male Percent White Percent Students of ColorFig. 3. 2019 cohort student demographics. Percent Female Percent Male Percent White Percent Students of ColorFig. 4. 2020 cohort student demographics. xi. DataData was collected to assess program quality and learning impact. To assess program quality andgather feedback to improve the program from the student’s point of view, Dr. Quadrifogliodeveloped and implemented a post-program survey made available to students via Google Formafter the program. To assess program impact on students’ learning, we gathered pre-program andpost-program student grade point averages (GPA) by cohort (not individual students).Student grade point averages were tracked from the
feedback on STEMWorks developed lessons.Dr. James Van Haneghan, STEMWorks, LLC James Van Haneghan is a consultant for STEMWORKS, LLC and Professor in the College of Education and Professional Studies at the University of South Alabama where he teaches courses in research meth- ods, assessment, and learning. He has research interests in the areas of program evaluation, problem- and project-based learning, mathematics education, motivation, and assessment. He has been at the University of South Alabama since 1995. Before that he held positions at Northern Illinois University and George Peabody College of Vanderbilt University. His doctoral training was from the Applied Developmental Psychology Program at the University of
automation [12] and mechatronics [13]. The literaturehas studies describing the development of safety related laboratory protocols [14-15] but notdirectly their impact on education. Therefore, to begin understanding the impact of the NJITMakerspace COVID-19 protocol on manufacturing education required us to pose the question toNJIT groups that had access to the NJIT Makerspace during the Fall 2020 semester. This focusedscope did not include assessing the effectiveness of the NJIT Makerspace COVID-19 protocol onpreventing the spread of COVID-19.METHODSThis study was conducted through a survey that was distributed to three NJIT groups that haveaccess to use the NJIT Makerspace for personal or academic purposes during the Fall 2020academic semester
Employment Counseling, vol. 39, pp. 12–21, 2002.[7] K. J. Downing, “Self-efficacy and metacognitive development,” International Journal of Learning, vol. 16, no. 4, pp. 185–200, 2009.[8] E. Seymour and N. M. Hewitt, Talking about leaving: why undergraduates leave the sciences. Boulder, CO: Westview Press, 1997.[9] M. W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D. Chachra, and R. A. Layton, “Persistence, engagement and migration into engineering programs,” Journal of Engineering Education, vol. 97, no. 3, pp. 259–278, 2008.[10] P. A. Gore, “Academic self-efficacy as a predictor of college outcomes: two incremental validity studies,” Journal of Career Assessment, vol. 14, pp. 92–115, 2006.[11] J. B. Biggs, “The role of
level of precision which Micro-Standards will experience disruption. We have notvalidated our predictions against student assessment data given ongoing COVID-19 conditions,but our main result reveals vulnerable learning pathways to investigate. Validation constitutes animportant area for future research. Finally, we note that in the process of validation there must benecessary revisions, and an important advantage of our network modeling approach is that ourgraph structure enables easy revision of vertices and edges.Data accessWe make the mapped network dataset publicly available via API access at the MIT Mapping Lab(https://mapping.mit.edu). Table 4: Impacted outcomes starting from the 6th grade
. Thomas, A., Hacker, J. & Hoxha, D. (2011). Gendered racial identity of Black young women. Sex Roles, 64(7-8), 530-542.14. Gonzalez, H. B. & Kuenzi, J. J. (2014). Science, technology, engineering, and mathematics (STEM) education: A primer. Library of Congress. https://digital.library.unt.edu/ark:/67531/metadc122233/m1/1/high_res_d/R42642_2012Au g01.pdf15. Rastogi, S., Johnson, T., Hoeffel, E., Drewery, M. (2011). The Black Population: 2010. 2010 Census Redistricting Data (Public Law 94-171) Summary File. https://www.census.gov/content/dam/Census/library/publications/2011/dec/c2010br-06.pdf16. Hill, N. E., & Tyson, D. F. (2009). Parental involvement in middle school: A meta-analytic assessment
and assessment design.Lin Ding, Ohio State University Lin Ding, Ph.D., is an associate professor in the Department of Teaching and Learning at The Ohio State University. Dr. Ding’s scholarly interests lie in discipline-based STEM education research. His work includes theoretical and empirical investigations of student content learning, problem solving, reasoning skills, and epistemological development. Dr. Ding specializes in research-based assessment development and focuses primarily on the quantitative research paradigm. He has published numerous high-impact journal articles, book chapters, and research proceedings papers. In addition, Dr. Ding has been leading multiple federal and state projects sponsored by the
version of the course. Another researcher onthe team served as the subject matter expert for content analysis. All of the coders studied thelecture notes to develop an understanding of how the material on ABC Analysis was delivered.Identification of the Coding Categories. The determination of the coding categories evolved overtime depending on the observations of the researchers.Phase 1. We began by analyzing each poem line by line to assess the “correctness” of the line, asthis was the approach used to grade the assignments for the course. At end of this phase, we madethree observations:1. Some lines could be deemed as being correct more easily than others, whereas some lines could be deemed to be partially correct or incorrect. A careful
enrollment numbers, with the treatment sectionhaving a 30% lower enrollment compared to the control section. As will be described in a later section of this paper, the active learning opportunities weoffered to our students were: 1) in the classroom during lectures, and 2) in optional SupplementalInstruction (SI) sessions, which were offered outside of class, where teaching assistants led smallgroup problem solving sessions in an online setting. The self-selection bias arising due to theoptional nature of the SI sessions is another limitation of this research study that could not becontrolled for.III. Research QuestionsTo assess the impact of active learning on our first year engineering students, this reportaddresses the following questions
Paper ID #34298Transitioning to the Middle Years: Learning from RedShirt EngineeringStudentsDr. Daniel Knight, University of Colorado Boulder Daniel W. Knight is the Program Assessment and Research Associate at Design Center (DC) Colorado in CU’s Department of Mechanical Engineering at the College of Engineering and Applied Science. He holds a B.A. in psychology from Louisiana State University, an M.S. degree in industrial/organizational psychology and a Ph.D. degree in education, both from the University of Tennessee. Dr. Knight’s research interests are in the areas of K-12, program evaluation, outreach and teamwork
(with atext box); and Prefer not to specify. We have since modified our approach to followthe guidance by Spiel, Haimson, and Lottridge [17] who recommend providing the followingchoices for collecting information about gender identity: woman, man, non-binary, prefernot to disclose, and prefer to self-describe. Our results do include a categoryOther because of the initial approach.InstrumentsWe use two existing, validated instruments to collect a baseline measure of computing identity.The Conceptual Understanding & Physics Identity Development (CUPID) [18] survey, shown inTable 3, asks nine questions to assess students’ perceived recognition, interest andperformance/competence. The adapted version of the STEM Professional Identity Overlap
workforce development in academia and beyond. He is actively engaged in different projects at the department focusing on teamwork and leadership competencies in engineering. Tahsin’s long term goal is to bridge the engineering competency gap between industry demand and academic fulfillment.Dr. Sreyoshi Bhaduri, McGraw Hill Dr. Sreyoshi Bhaduri is an Engineering Educator and People Researcher. She currently heads Global People Research and Analytics at McGraw Hill, where she leads research leveraging employee data to generate data-driven insights for decisions impacting organizational Culture and Talent. Her research interests include assessing the impact and effectiveness of inclusion initiatives as well as employing in
arts university with the aim of better understanding differences in preparation,performance, and mental health experiences of women, men and non-binary students. The goal isto identify ways in which educators can better recruit, retain and support students inundergraduate engineering programs. Students are invited to participate anonymously in theonline survey, which is incentivized with online gift cards. The survey includes questions aboutdemographics, high school preparation, and college performance. Additionally, various mentalhealth screeners, such as The Longitudinal Assessment of Engineering Self-Efficacy (LAESE)[13], the Youth Risk Behavior Surveillance System (YRBSS) [14], the Global Appraisal ofIndividual Needs Short Screener (GAIN