tools for integrating human-centered design at thecourse level as well develop longitudinal tools to evaluate students’ learning at the programlevel. In this paper, we discuss the co-development of program-level learning progressions thatconnect directly to program educational objectives as well as ABET (formerly AccreditationBoard for Engineering and Technology) student learning outcomes [8]. These progressions alsoconnect to the Kern Family Foundation (KEEN)’s entrepreneurial mindset [9], which proposes aset of attitudes, dispositions, habits, and behaviors that shape a unique, desirable engineeringproblem-solving approach.BackgroundWe are an interdisciplinary design team at the University of Illinois Urbana-Champaign that iscomposed of
approaches to GenAIliteracy should therefore explicitly address these power dynamics while making space for diverselanguages, identities, and ways of making meaning in engineering.ReferencesAdúriz-Bravo, A. , Chion, A.R. & Pujalte, J.P. (2013). “Scientific Literacy.” Encyclopedia of Science Education. DOI 10.1007/978-94-007-6165-0_262-1.Alexis, C. & E. Leake. “The Stylized Portrayal of the Writing Life in Spike Jonze’s Her” in Style and the Future of Composition Studies, Ed. by Paul Butler, Brian Ray, and Star Medzerian Vanguri. Utah State UP, 2020, 85-97.Ariyo Okaiyeto, S., J. Bai, & H. Xiao. (2023). Generative AI in education: To embrace it or not. International journal of agricultural and biological
“Technology Education/Pre-engineering education” (TE/PreEE)program and has its roots in industrial arts education dating back to the 1930s. More detaileddescriptions of each of these programs have been previously reported.[1-3] Both programsrequire substantial coursework in all four elements of STEM, as well as integrated-STEM(i.e.- how to use multiple STEM elements together in K-12 curriculum/activities). Studentsin both programs also acquire substantial experience in integrating non-STEM subjects withSTEM subjects. In 2006 our department completed a redesign of our “TechnologyEducation” curriculum to integrate more M&S into our Technology & Engineering (T&E)courses, resulting in our current “pre-engineering” curriculum. Even though this
a discussion of educationalimplications.Mr. SAt the time of this study, Mr. S had been teaching for 10 years. He began as a chemistryteacher and shifted into teaching engineering and robotics 3 years prior to the study’sbeginning. Mr. S taught only engineering and robotics courses. He used robotics as anavenue for students to study engineering concepts and skills, namely: design processes,Computer Aided Design (CAD), electronics (sensors) and programming. The class weexamined was a Robotics I class taken by students ranging from 9th-12th grade. Mr. Sdesigned the curriculum of the first semester (the focus of our study) to engage studentsin solving one complex, ill-structured, engineering challenge. In particular, his studentswere working
Abstracts International, (55), (010), 3129. Page 4.497.122. Bruno, J. (1988). An experimental investigation of the relationships between and among hemispheric processing, learning style preferences, instructional strategies, academic achievement, and attitudes of developmental mathematics in an urban technical college. (Doctoral dissertation, St. John’s University). Dissertation Abstracts International, 48(5), 1066A.3. Clark-Thayer, S. (1987). The relationship of the knowledge of student-perceived learning style preferences, and study habits and attitudes, to achievement of college freshmen in a small
viable solutions. Even a single external tank would provide habitable volume comparable to that of the International Space Station. Such a facility would benefit a variety of businesses that need more than the "glove-box" dimensions of present experimental facilities on the Space Station.2. An electromagnetic launcher system on the Moon. The lunar day provides intense sunlight, enabling capacitors to be charged up to power an electromagnetic rail system. The velocity required to launch from the lunar surface to lunar orbit is only of the order of 2200 m/s, far lower than on Earth, and there is no atmosphere to cause drag on the Moon. While being beyond the resources of individual companies, such a "transit system", perhaps
Optimization ResultsFrom these charts, conclusions were drawn that for a speed of 2.5 mph (1.2 m/s), the maximumvelocity increase will come from a 25° angle and the largest feasible outlet area.4.4 Preliminary Shroud TestingThe current testing setup measures free stream velocity but not velocity within the shroud, so adirect assessment of velocity increase is not possible. However, testing does show increasedpower output from shrouded geometry that can be compared to unshrouded tests to determineand “effective” velocity to see what speed is necessary to produce the same power without ashroud.To further confirm CFD predictions, three different shroud sizes were tested: 20°, 25°, and 30°.All had an outlet area to inlet area ratio of four
rpm 2. For the rated power and speed, the maximum fuel flow rate andthe injector period are given in Table 2. The details of these calculations are given in AppendixA. Table 2. Sample Laboratory Pre-Calculations Injection Parameters for a 2011 Sport/Utility Vehicle Max. Fuel Flow Rate 23.1 cm3/s Flow Rate per Injector 3.85 cm3/s Injector Period 18,462 μs Max. Injector Pulse Width 7692 μsFollowing the discussion of fuel injectors, the students are then introduced to the concept ofexperimental uncertainty analysis. This is a brief introduction, usually with an
project, is the Page 24.948.3problem definition phase characterized by asking relevant questions and attempting to findplausible/ realistic answers. No sooner has a client or professor defined a series of objectives fora design project than the designer- whether in a consulting office or in a classroom- want to findout what the customer really wants. Questions such as: what is an economic project? How doyou define the best design? What is a safe design? What are the factor(s) that will affect thedesign the most? Phrasing it differently, knowledge resides in the questions that can be asked andthe answers that can be provided. (2, 3) A sequence
International Conference on Engineering Design (ICED'09), Vol. 2 (pp. 441-452).[17] Atman, C. J., Chimka, J. R., Bursic, K. M., & Nachtmann, H. L. (1999). A comparison of freshman and senior engineering design processes. Design Studies, 20(2), 131-152.[18] Shabani, K., Khatib, M., & Ebadi, S. (2010). Vygotsky's zone of proximal development: Instructional implications and teachers' professional development.English language teaching, 3(4), p237.[19] Akao, Y. (1990). Quality function deployment: integrating customer requirements into product design. Productivity Press.[20] Sauerwein, E., Bailom, F., Matzler, K., & Hinterhuber, H. H. (1996). The Kano model: How to delight your customers. In International Working Seminar on
instructional interventions. Theinterventions were either school-wide or part of smaller, in-school academies. The 2012-13school-year was the launch of the Urban Initiative.As part of a larger research project, a set of surveys were developed to measure student attitudestoward STEM and interest in STEM careers. Two versions of the “Student Attitudes towardSTEM (S-STEM) Survey” were created, one for upper elementary students (4th and 5th grade)and another for middle and high school students (6-12th grade). To measure student interest inSTEM careers the final section of the S-STEM Survey contained twelve items, each with adefinition of a STEM career pathway and titles of related occupations. One item read, forexample, “Medical science involves
. (2010). How long can students pay attention in class? A study of student attention decline using clickers. Journal of Chemical Education, 87(12), 1438-43.3 Byrne, M. D., Catrambone, R., & Stasko, J. T. (1999). Evaluating animations as student aids in learning computer algorithms. Computers & Education, 33(4), 253-278.4 Chang, S. J. (2005). A Theoretical Discussion on Financial Theory: What Should We Teach and How?. Journal of Economics and Finance Education, 4(2), 39-48.5 Chiu, J. L., & Linn, M. C. (2008, June). Self-assessment and self-explanation for learning chemistry using dynamic molecular visualizations. In Proceedings from The 8th International Conference for the
also thank Neyda VanBennekom, Amelia Bickel, andNancy Lynch for their help with grant activities.Bibliography1. K. Cadwell and W. Crone, “Training Undergraduates in the Broader Context of the Research Enterprise,” ASEE Conf. Proceedings, 2008.2. D. Bahr, “A One Week Intensive Short Course for Introducing Lower Division Students to Undergraduate Research,” ASEE Conf. Proceedings, 2009.3. F. S. Laanan, “Transfer Student Adjustment.” New Directions for Community Colleges, 114: 5-13, 2001.4. T. G. Davies and K. Rita, “Vital Connections Transfer Program: learning the transfer process from the transfer student,” College Student Journal, 34 (3), pp. 409-416, 2000.5. S. Lipka, “Survey Finds Transfer Students Disengaged, but Some Colleges are
assessed by this pilot study was between PM and FL jobs (general andspecialty contractors). The authors, encourage that a group difference be performed depending oncompany size, area, and other cultural and demographic characteristics. Third, the data was limited,especially for the FLs category. Collecting more data may show more relationships and differencesbetween the different categories.References[1] Albattah, M. A., Goodrum, P. M., & Taylor, T. R. B. (2015). “Demographic Influences onConstruction Craft Shortages in the U. S. and Canada”. International Construction SpecialtyConference of the Canadian Society for Civil Engineering (ICSC) (5th: 2015).http://dx.doi.org/10.14288/1.0076372 © American Society for
ofbuilding these STEM foundations.References[1] M. K. Udo, G. P. Ramsey, S. Reynolds-Alpert, and J. V. Mallow, “Does Physics Teaching Affect Gender-Based Science Anxiety?,” J. Sci. Educ. Technol., vol. 10, no. 3, pp. 237– 247, Sep. 2001, doi: 10.1023/A:1016686532654.[2] W. S. Smith, S. M. Gould, and J. A. Jones, “Starting the Semester at Odds: Educators’ Versus Students’ Reasons for Studying Science,” J. Coll. Sci. Teach., vol. 34, no. 3, pp. 44–49, 2004.[3] W. Wartono, M. N. Hudha, and J. R. Batlolona, “How Are The Physics Critical Thinking Skills of The Students Taught by Using Inquiry-Discovery Through Empirical and Theorethical Overview?,” EURASIA J. Math. Sci. Technol. Educ., vol. 14, no. 2, Nov. 2017
design solution; “What do you need to know in order to solve theproblem?” We examined 150 middle-school student engineering notebooks to determine: 1. Dostudents correctly anticipate the presence of each type of STEM connection in the unit (science,technology, engineering, mathematics)? 2. Do students correctly anticipate the nature of theSTEM connections in the unit? In answering these questions, we can discover if studentsdetermine that they must learn the very same STEM concept(s) for which the curriculum wasdesigned. If students anticipate the correct connections, we have reason to believe this supportsstudents’ feelings of autonomy, competence, and motivation. The answer to our questionsprovides the impetus for further investigation into
ideas, experiences, and tools theyhave developed.REDPAR also continually encourages CoT members to engage in reflection and does not assumethat they know the answers to the questions they pose. The following example is a battery ofquestions asked in one of the meetings that shows the multi-pronged and multifaceted approachtaken to support reflection and learning. REDPAR: What challenge(s) have you encountered in your project? How are challenges different from Year 1 to Year 2/3/4? What resources (people, materials, etc.) have you used to address the challenge? What advice would you give to another team encountering the same challenge? Are there some challenges that are not resolvable? How do you know when to
Statistics. Retrieved July 8, 2023, from https://nces.ed.gov/programs/digest/d22/tables/dt22_311.15.asp 5. Heyman, E. (2010). Overcoming student retention issues in higher education online programs: A Delphi study. University of Phoenix. 6. Christensen, G., Steinmetz, A., Alcorn, B., Bennett, A., Woods, D., & Emanuel, E. (2013). The MOOC phenomenon: Who takes massive open online courses and why? Available at SSRN 2350964. 7. Bawa, P. (2016). Retention in online courses: Exploring issues and solutions—A literature review. Sage Open, 6(1), 2158244015621777. 8. Brunhaver, S., Bekki, J., Lee, E., & Kittur, J. (2019, March). Understanding the factors contributing to persistence
.[6] B. B. Smith, Y. S. Park, L. Ross, S. J. Krause, Y. Chen, J. A. Middleton, E. Judson, R. J. Culbertson, C. J. Ankeny, K. D. Hjelmstad, and C. Y. Yan, "Faculty characteristics that influence student performance in the first two years of engineering," in ASEE Annu. Conf. & Expo., New Orleans, LA, 2016.[7] S. J. Dooley, "Designing a reference training course and cultivating a community of practice: Utilizing the LMS for staff training and development," in ASEE Annu. Conf. & Expo., Tampa, FL, 2019.[8] C. Hodges, S. Moore, B. Lockee, T. Trust, and A. Bond, “The difference between emergency remote teaching and online learning,” EDUCAUSE Review. Mar. 27, 2020. [Online]. Available: https
provided an example of how “bigdata” and algorithms determine credit scores: “The algorithm that's used to determine that is so mysterious. No one really knows what's going into it and how different companies aggregate that data and make a determination on someone[’s score]. A lot of people say the algorithm isn’t going to discriminate, but [it can]” (P02 White man domestic student).The concern regarding the inner workings of AI models and smart devices was intensified amongECE students who, reflecting on their own lengthy training, realize that most users lack thisexpertise and might unknowingly expose themselves to risks. “All of us are using small AI toolsat home with Siri and Alexa, and I feel all these tools are
-centric Teaching Approach to Increase StudentAchievement in Multiple STEM Disciplines”. It should be noted that the opinions, results and,conclusions or recommendations expressed are those of the author(s) and do not necessarily reflectthe views of the National Science Foundation.References[1] National Academies of Sciences, Engineering, and Medicine. (2018). Graduate STEMEducation for the 21st Century. Washington, DC: The National Academies Press[2] President's Council of Advisors on Science and Technology. (2012). Engage to Excel:Producing One Million Additional College Graduates with Degrees in Science, Technology,Engineering, and Mathematics. Executive Office of the President.[3] Holmes, B. D. (2022). Supporting Graduate Student Scholarly
circuit that efficiently steps down a DC voltage to a new level. The basic principles discussedapply to other types of PWM converters. The buck chopper circuit is illustrated in Fig. 1. The circuit is controlled by cyclicallyopening and closing switch S. This periodic rate is called the switching frequency and drives the sizing of the circuit inductanceand capacitance. When the PWM signal is high, the switch S is closed. When the PWM signal is low, switch S is open anddiode D conducts. The amount of time that S is closed divided by the switching period is called the duty cycle. For an idealbuck chopper operating in continuous conduction mode (inductor current always positive), the output voltage is approximatelyequal to the duty cycle times the
-370.660-129820[5] A. Elkhatat and S. A. Al-Muhtaseb, "Fostering Engineering Laboratory Course Teaching by Embedding an Inquiry-Guided Learning Approach Using Computer-Aided Learning Packages: Evaluation of Learning Outcomes in a Cooling Tower Experiment in the Unit Operations Lab," Chemical Engineering Education, vol. 56, no. 3, pp. 190-198, 2022, doi: 10.18260/2-1-370.660-129133.[6] L. M. Mataka and M. G. Kowalske, "The influence of PBL on students' self-efficacy beliefs in chemistry," Chemistry Education Research and Practice, vol. 16, no. 4, pp. 929-938, 2015, doi: 10.1039/C5RP00099H.[7] V. K. Kolil, S. Muthupalani, and K. Achuthan, "Virtual experimental platforms in chemistry laboratory
proactive in scaling the program to a larger group of students. References1. K. Chandra and S. Tripathy, "RAMP to Success: Program Design and Outcomes Report for 2018 Launch," Francis College of Engineering, University of Massachusetts Lowell, 2018. [Online]. Available: https://www.uml.edu/docs/ramp2018-final-report_tcm18-309285.pdf.2. S. Tripathy, K. Chandra and D. Reichlen, "Participatory Action Research (PAR) as Formative Assessment of a STEM Summer Bridge Program," Proc. ASEE Virtual Annual Conference, 2020 https://peer.asee.org/339573. S. Tripathy, K. Chandra, H. Hsu, Y. Li and D. Reichlen, “Engaging Women Engineering Undergraduates as Peer Facilitators in Participatory Action Research
: ASEE Conferences, Jun. 2020. doi: 10.18260/1-2-- 34203.[5] L. Singelmann et al., “Creation of a Framework that Integrates Technical Innovation and Learning in Engineering,” 2021 IEEE Frontiers in Education Conference (FIE), pp. 1-8, Oct. 2021, doi: https://doi.org/10.1109/fie49875.2021.9637179.[6] E. M. Swartz, R. Striker, L. Singelmann, E. A. Vazquez, M. Pearson, and S. S. Ng, “Innovating Assessment: Using Innovative Impact as a Metric to Evaluate Student Outcomes in an Innovation-Based Learning Course,” 2021 ASEE Virtual Annual Conference Content Access Proceedings, doi: 10.18260/1-2--37338[7] E. M. Swartz, M. Pearson, L. Singelmann, R. Striker, and E. A. Vazquez, “Innovation-based Learning
for bringing deep and complex insights into fields - but relies onthe capacity for reflexivity and connection of their reflection on experience to a field’s existing knowledgebase [22]. It is not, nor is it meant to be immediately generalizable - acknowledging and leveraging itsgrounding in one’s own experience to garner unique insights.Facilitated, sometimes called collaborative, autoethnography is a version of autoethnography in which theprocess is supported by someone with either/both expertise in ethnographic research or research in thefield in question [14], [15]. In facilitated autoethnography, the outside researchers (usually calledfacilitators) and participant(s) (participant-researchers) interact to aid in the elicitation of
areas.Technological Literacy Focus Courses will go into great depth within one or more technologytopic areas (see Figure 2b) with a higher fraction of C and D values in that column(s) whencompared to a Survey Course.Technological Literacy Design Courses and Critique, Assess, Reflect, or Connect (CARC)Courses will cover these respective rows in the matrix for one or more of the technology topicareas as shown in Figures 2c and 2d, respectively. It is expected that these courses will also havea higher percentage of C and D values in the corresponding rows – specifically for the detailedcross-cutting concepts within each group – compared to a Survey Course.Figure 3 shows two examples of the matrix for two courses that were selected from among the22 existing
writing In-class activity2.1 Week 1: First In-person Meeting Activity: Setting Up Your Goal2.1.1 Use of MentimeterIn the first in-person class, the course expectations are introduced. A Mentimeter is used to makethe session interactive and engaging. The following questions are asked during the first meeting,allowing students to see their responses in real-time: How are you today? Use one word todescribe how you feel now. How do you rate your current writing skill? (0-100 points). Howmany journal articles (not including conference presentations) have you published so far? Whatare your expectations for this course? Have you used AI (e.g. ChatGPT) in your academic work?Which area(s) do you find challenging when starting to write? How are
to succeed in these fields.AcknowledgmentThis material is based upon work supported by the National Science Foundation under Grant No.DUE 1003589. Any opinions, findings, and conclusions or recommendations expressed in this Proceedings of the 2014 American Society for Engineering Education Zone IV Conference Copyright © 2014, American Society for Engineering Education 304material are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.Bibliography1. Chubin, D., May, G. S. & Babco, E. L. Diversifying the engineering workforce. J. Eng. Educ. 94, 73
]. whose responsibility was to mentor and develop the junior • An ability to apply knowledge, techniques, skills and engineer’s talent through on-the-job training. The first few modern tools of mathematics, science, engineering, decades of the 1900’s saw engineering students begin working and technology to solve well-defined engineering directly with mechanical machinery, test equipment and problems appropriate to discipline. undertaking design drafting roles. Dedicated lab space with specialized equipment was slowly being introduced in • An ability to design solutions for well-defined