developed and reviewedfor accuracy, relevance and validity as part of another project developing mechanicsConcepTests (CTs) for the Concept Warehouse [25]. In addition to selecting an answer choiceand writing a brief explanation, students gave a confidence rating for each response on a scale of1 = substantially unsure, 2 = moderately unsure, 3 = neutral, 4 = moderately confident and 5 =substantially confident. Table 3 summarizes the results for the MCE questions. Table 3. Multiple-choice plus explain (MCE) response results. F20 Intervention Section W21 Control Section CT Pre Post Pre Post Activity Topic IDs %COR CONF
Banning (2001), the students’understanding of the built environment was grounded in a recognition of spaces that createdsafety and inclusion (e.g., the library) and evolved to one that recognized space as a conduit forinvolvement (e.g., the student center, the wellness center) and that served as basis for communitybuilding.Similarly, findings reinforce Wu et al. (2021) in their identification of flexibility, functionality,and openness as particular high-value conditions present in meaningful space. Those sameconditions also align with Hoffman et al. (2002) and others who recognize the function of spacein facilitating meaningful interactions with peers and valued involvement. Taken together, theresults of this project add important nuance to the
model, pre-lecture online modules were shared with students and to be completedprior to lecture. Lectures were focused on discussion and activities built upon the materialsintroduced in the pre-lecture modules. The final component in this model is post-lecture problemsolving sessions. Maalouf and Putzeys3 mixed traditional classroom lectures, pre-recorded videolectures and activity sessions together. Holdhusen4 and Sangree5 combined pre-recorded videolectures that needs to be watched prior to attending class sessions to complete active learningexercises.For the blended teaching method considered in this project, the instructor provides 57 pre-recorded videos uploaded to a learning management system (LMS). These videos discussconcepts
andprofessional responsibilities in engineering situations and make informed judgments,” 1 thecourse is also used to assess both outcome 3, “an ability to communicate effectively with a rangeof audiences,” 1 and outcome 7, “an ability to acquire and apply new knowledge as needed, usingappropriate learning strategies.”1 Further, the class includes a team-based project on a topicrelated to diversity, equity, and inclusion, and so can also be used to demonstrate outcome 5, “ anability to function effectively on a team whose members together provide leadership, create acollaborative and inclusive environment, establish goals, plan tasks, and meet objectives,” 1 andto address expected changes to Criterion 5 for the 2023-24 accreditation cycle: “a
as 500 miles from the site of the pyramid. The base of thepyramid is aligned with the cardinal directions accurate to 0.067 degrees. The Romans built asystem of aqueducts that supported a city of over one million, supplying over 500,000 cubic metersof water daily2. The ancients also designed and built immense ships. The Syracusia3, 180 feet inlength, had a capacity of 1940 passengers and a crew of 200. It featured a library, gymnasium andbathroom, and could carry a cargo of 1,600 to 1,800 tons. These are achievements that modernengineers would be proud to have made.But the engineers of these early projects did not have the science, mathematics, computingcapabilities or machinery to simplify these tasks. Instead, they were trained as
to apply in theworkplace. The reason identified by the professors stemmed from the content of the course beingoutdated compared to industry standard. When the students lack a clear understanding of the“why” behind the concepts learned in the classroom, there is a much larger gap to overcomewhen adjusting to the profession. An example of this problem and a solution is described in thepaper by Heckman et al. [12], where students were tasked to work on a software project that wasover ten years old. The technology was outdated and had many bugs and complications that werepreventing the students from having a productive learning experience. By completelyoverhauling the software and beginning routine updates to the program, the teachers were able
physics labs using smartphone sensors [16][17][18][19];these prior examples were designed to help students learn fundamental concepts in physicsclasses. Only one other study that we found used smartphone sensors to teach measurementtechniques in an engineering context [8]. The purpose of this project was to create two new labsthat students can perform at home using their smartphones, that mimic the traditional labexperience on campus as much as possible.Before completing the assignment, students were given some in-class training on how to usetheir smartphone to collect lab data. This provided an opportunity for the instructor to avoidsome common errors such as students downloading the wrong app, misunderstanding appoperation, and relying on
Paper ID #36522Can Soil Mechanics laboratory courses use tools and lessonsfrom online learning to enhance in-person laboratoryexperiences?Meredith Kirkmann (Assistant Professor) Assistant Professor of Contstruction Engineering Technology at the University of Maine. Meredith was a Senior Project Manager in the Highway Department at the MaineDOT before joining UMaine, and is a geotechnical engineer.Rachel Mosier (Associate Professor) Rachel Mosier is an Associate Professor at Oklahoma State University and a licensed as a professional engineer in Construction Engineering with 7 years experience as a structural
Paper ID #37247Black is Gold: The Importance of Racial Identity to BlackUndergraduate Students in EngineeringWhitney Gaskins (Assistant Dean of Inclusive Excellence and CommunityEngagement)Samieh Askarian Samieh Askarian Khanamani is a Ph.D. student at the Department of Engineering Education, University of Cincinnati. She has 10 years of experience as Vice-Principal in elementary school in Iran. She has a bachelor's degree in project management Engineering from Payamnoor university and a Master's degree in Civil Engineering from Azad University. Her research area of interest lies in informal preK-12 education to
person with an engineer's mind should be an engineer”Hidden Figures (2016) depicts African-American women working as “computers” at NASA’sLangley Research Center in the early years of Project Mercury, the first United States humanspaceflight program. Before electronic computers supplanted women’s labor, NASA and otherorganizations held spaces in which computation was women’s work, a fascinating reversal fromour contemporary situation. The central characters of the film—engineer Mary Jackson,programmer Dorothy Vaughan, and mathematician Katherine Johnson—encounter persistent andovert discrimination, but nevertheless enjoy a degree of professional opportunity and prestigeunusual for black women in the South. Their experiences provide some insight
Haofan Zhang (BS, CS ’20), Trevor Dowd(BS CS ’20), Robert Dutile (BS CS ’20), Milap Patel (BS/MS ME/CS ’20), Michael Taylor (BSCS ’19), Griffin Cecil (BS CS ’19), Dimitrios Tsiakmakis (BS CS ’19), and Praneeth Appikatla(BS CS ’19), who worked on this software as part of their capstone projects. We would like tothank the students in various courses at WPI who participated in testing the software and providingvaluable feedback. We also would like to thank Prof. Nicholas Bertozzi at WPI for his efforts intesting and utilizing the software in the Unified Robotics I (RBE 2001) course.References[1] “Working Model 2D,” Working Model 2D - 2D Kinematics & Dynamics Software - Engineering Simulait. [Online]. Available: https://www.design
project explores the efficacy of TASI for arange of engineering courses, this paper focuses on Statics courses: Engineering Statics (CE),Applied Statics (ET), and Vector Statics (ME).RESULTSOverall, we found sense of belonging was improved by TASI participation, and TASIparticipation did improve course performance. Analyses of course GPA data revealed that URMstudents’ final course grades were consistently lower than that of their non-URM counterparts, asidentified by previous research [15]. This pattern was evident each semester from SP2019 toSP2020 for all three courses with the exception of Spring 2020, in ET when the grades wereequivalent. See tables 2-4 below.Table 2 course grades and enrollment in Mechanical Engineering Statics
comments or comments that make other people visibly uncomfortable” Discrimination 36 49.3 “Unfair treatment based on some property” “The act of singling out somebody” “Excluding people from study or research groups” “Not getting proper recognition or proper praise, for coming up with an idea or running a project” Disrespectful 32 43.8 “Being mean and humiliating" Behaviors “Being rude for no reason” “Making fun of someone" “Belittling
research assistant at Boise State University where she contributed to a variety of projects investigating early childhood STEM education, as well as, providing instructional coaching for teachers to implement high-quality practices in their classrooms. Her current research interests revolve around high quality early childhood STEM practices, supporting teachers in implementation of early STEM education, as well as Makerspaces in Early Childhood.Sara Hagenah Science and STEM teacher educator, interested in teacher and student identity © American Society for Engineering Education, 2022 Powered by www.slayte.comInfluence of Peer Perseverance on Students' Engagement
the authors plan to expand the Markov models to complete curricula.To continue refining our Transfer Student Structural Complexity model, we are currently in themidst of a project to collect more face and construct validity for our measures by solicitingfeedback from transfer stakeholders, including faculty, advisors, administrators, and studentsthemselves. We aim to contextualize a broader theory of Transfer Student Curricular Complexityto complement the instructional complexity in Heileman’s [2] framework. Moreover, we plan tocollect more plans of study to explore the variation in the measures provided here.Finally, we have an alpha version R package that we are using to conduct the analyses that weplan to make available to the community
attempts in a row to avoid an undesiredquestion is an acceptable test-taking approach as long as they are able to complete the chosenattempt in one iteration before running out of attempts. This framework is designed to givestudents flexibility to figure out an approach that works best for them. Mirroring the real world,picking your projects carefully can determine your success in a given company or career. Here,we offer students the opportunity to learn how to determine their own success through theirchoices and effort.Throughout the different assessments, we used Canvas’s ‘essay’-type questions frequently. Essayquestions give the student a block of space to write free-response answers. In addition, studentscan make tables, upload files
the ability of a modularity analysis to identifyheavily used tools as well as tools not used as often, allowing for visualization of the roles andinteractions of the tools in the network.The survey data from both Fall 2020 and Spring 2021 are impacted by each school’s COVID-19related rules. As a result, the results are not entirely reflective of normal space use as access towas heavily restricted. At School A, students were only allowed to work on class projects with aselect few clubs granted limited access to the space. Personal use was explicitly prohibitedduring this time, although this policy was not enforced particularly strictly. School B, on theother hand, had significantly fewer restrictions than School A. The restrictions that were
: achievements of the ELLI project at the TU Dortmund University." Procedia manufacturing 26 (2018): 1349-1360.16. S. Das, D. K. Kleinke, and D. Pistrui, "Reimagining engineering education: does industry 4.0 need education 4.0?." 2020 ASEE Virtual Annual Conference Content Access. 2020.17. C. Terkowsky and T. Haertel. "Fostering the creative attitude with remote lab learning environments–an essay on the spirit of research in engineering education." Engineering Education 4.0. Springer, Cham, 2016. 197-212.18. K. Schuster, K. Groß, R. Vossen, A. Richert, and S. Jeschke. "Preparing for industry 4.0– collaborative virtual learning environments in engineering education." In Engineering Education 4.0, pp. 477-487. Springer
, p. 25:1-25:36, Sep. 2019, doi: 10/gkqfnv.[21] T. Nelson-Fromm and W. Fagen-Ulmschneider, “The Grainger Engineering Metro Map.” https://d7.cs.illinois.edu/projects/Grainger-Engineering-Metro-Map/ (accessed Apr. 22, 2022).[22] M. Nöllenburg and A. Wolff, “A Mixed-Integer Program for Drawing High-Quality Metro Maps,” in Graph Drawing, Berlin, Heidelberg, 2006, pp. 321–333. doi: 10/c2qppf.[23] C. Hurter, M. Serrurier, R. Alonso, G. Tabart, and J.-L. Vinot, “An automatic generation of schematic maps to display flight routes for air traffic controllers: structure and color optimization,” in Proceedings of the International Conference on Advanced Visual Interfaces, New York, NY, USA, May 2010, pp. 233–240. doi: 10/ddxjhk.[24] D
majority counterparts? Participants We excluded anyone that identified HC as positive since the scope of our project was tosee how HC is negatively impacting FG students and their intersecting disenfranchised identities(self-identified women, Latino, and Black bodies). Asian identities were excluded from thisstudy since they are statistically overrepresented in science and engineering [22]. An initialround of coding the data revealed that out of n984, n341 answered the emotion question on thesurvey. Of the n341, n157 answered the survey question with either a negative emotion orlacking any memory of HC experiences. The demographics of the n157 participants is listed inthe chart below. Table 1: Participant Demographics
interaction support of non-traditional doctoral students. International Journal of Doctoral Studies, 14, 187.OECD, 2005, “The Measurement of Scientific and Technological Activities: Guidelines for Collecting and Interpreting Innovation Data: Oslo Manual, Third Edition” prepared by the Working Party of National Experts on Scientific and Technology Indicators, OECD, Paris, pg. 71.O’Leary, Z. (2014). The essential guide to doing your research project (2nd ed.). Thousand Oaks, CA: SAGE Publications, Inc.Rigler Jr, K. L., Anastasia, C. M., El-Amin, A., & Throne, R. (2021). Scholarly voice and academic identity: A systematic review of doctoral student agency. Handbook of Research on Developing Students
game engine for cross-platform game and interactive simulation development with awide range of advanced capabilities, such as rendering, physics engine, animation, virtual reality,and augmented reality [6]. The overall software architecture of the virtual lab is shown in Figure5. It contains the following major modules or functionalities. • User Interface contains the graphical representation of the lab environment. Multiple environments will be implemented to suit the experiment requirement of the individual lab session. In the later stage, the project will investigate the efficacy of the virtual labs as a function of fidelity levels. For example, one virtual lab environment will be set exactly the same as the
, passions, ideas they might have, etc.What is one thing is they have learned so far that they want to learn more about--something thathas struck them as interesting and engaging.Ask them how their teamwork is going: what step are they on in the workbook? What chapter(s)did they read in the course textbook? Any updates on their project idea?Ask them if they have any questions for you (as alluded to above, this should be a part of everyteam meeting).Snip of course schedule for Weeks 1-4:References[1] J. E. Wilbanks, "Mentoring and Entrepreneurship: Examining the Potential for Entrepreneurship Education and for Aspiring New Entrepreneurs," Journal of Small Business Strategy, vol. 23, no. 1, pp. 93-101, 2015.[2] E. St-Jean, "Mentor functions for
Educational Research and Policy Analysis from NC State University in 1996. She also has an MBA from Indiana University (Bloomington) and a bachelorˆa C™Dr. Catherine Mobley, Clemson University Catherine Mobley, Ph.D., is a Professor of Sociology at Clemson University. She has over 30 years experience in project and program evaluation and has worked for a variety of consulting firms, non-profit agencies, and government organizations, including tDr. Marisa K. Orr, Clemson University Marisa K. Orr is an Associate Professor in Engineering and Science Education with a joint appointment in the Department of Mechanical Engineering at Clemson University.Dr. Rebecca Brent, Education Designs, Inc Rebecca Brent is President of
programs have not given muchrecent consideration to the appropriateness of this requirement. While there has been muchdiscussion of other aspects of engineering education, including the incorporation into thecurriculum of more “soft-skills”, class delivery modes, and capstone design project requirements,there has not been much discussion of the appropriate role for technical electives. This issomewhat surprising considering the desire of many programs and universities to reduce thenumber of credits required for an engineering degree in an effort to increase graduation rates,reduce time-to-graduation, and decrease student debt loads. With this in mind, the primarypurpose of this paper is to prompt discussion of the purpose of technical electives
ADVANCE IT Faculty Scholar. She also received the 2018 CoST Teaching Excellence Merit Award. Dr. Ofori-Boadu received both the 2017 NC A & T - CoST Rookie Research Excellence Award and the 2017 North Carolina A & T State University (NCAT) Rookie Research Excellence Award. Under her mentorship, Dr. Ofori-Boadu’s students have presented research posters at various NCAT Undergraduate Research Symposia resulting in her receiving a 2017 Certificate of Recognition for Undergraduate Research Mentoring. In 2016, her publication was recognized by the Built Environment Project and Asset Management Journal as the 2016 Highly Commended Paper. Andrea has served as a reviewer for the National Science Foundation (NSF
experience teaching mathe- matics at the high school, engineering, and business bachelor levels, He has developed a comprehensive understanding of the needs of diverse student populations. He holds an iSTEAM certificate from the University of Texas at San Antonio and is currently pursuing his Engineering Education Graduate Certifi- cate at the same institution. His research interests lie in creating equal opportunities for all students and developing research and teaching proposals in STEM-integrated education that promote quality, equity, inclusivity, and student-centered instruction. He also brings 18 years of experience in project engineering to his work, specializing in the design of stainless-steel equipment
interprofessional first-year teamwork project: some key reflections," Journal of Interprofessional Care, vol. 27, pp. 420 - 421, 2013.[24] J. I. Spicer and J. Stratford, "Student perceptions of a virtual field trip to replace a real field trip," Journal of Computer Assisted Learning, vol. 17, no. 4, pp. 345-354, 2001.[25] N. Evelpidou et al., "GIS-Based Virtual Field Trip as a Tool for Remote Education," Geosciences, vol. 12, no. 9, doi: 10.3390/geosciences12090327.[26] I. Falls, V. Bahhouth, C. M. Chuang, and J. Bahhouth, "Factors Influencing Students’ Perceptions of Online Teamwork," SAGE Open, vol. 4, no. 1, p. 2158244014525415, 2014/01/01 2014, doi: 10.1177/2158244014525415.[27] S. Ramdeo, P. Balwant, and S. H
Bello in Santiago, Chile, where currently collaborates with the Educational and Academic Inno- vation Unit, UNIDA (for its acronym in Spanish), as an instructor in active learning methodologies. Her research interest topics involve university education in STEM areas, faculty and continuing professional development, research-based methodologies, community engagement projects, evaluation tools and tech- nology, and gender issues in STEM education. https://orcid.org/0000- 0002-0383-0179 ©American Society for Engineering Education, 2023 Analysis of factors that influence the academic performance of first-year Chilean engineering studentsAbstractThis complete research paper
transfer from biology to engineering. 1.2. Bio-Inspired Data-driven Methods, Tools, and DatabasesHastrich developed the Biomimicry Design Spiral in 2005 that covers all steps from initialproblem identification to the final product evaluation [19]. The model’s spiral shape reinforcesits iterative process. The International Organization for Standardization has a standard onBiomimetics that presents a 5-step model without an initial problem formulation and analysisphase [20]. Georgia Tech’s BID formulated a 6-step design model similar to the design spiraluntil the last step where there is no mention of the final design evaluation [21]. The modelintroduces the Four-Box, which supports quick classroom projects by summarizing the four mostimportant