attributes associated with their composite attributes of E. Rule #2: For each multi-valued attribute A of an entity E, create a relation/table R whose attributes are composed of the attribute corresponding to A and the primary key of E. Rules #3: For each entity A which is related to another entity B via an “ISA” relationship (i.e., A “ISA” B), include in the relation corresponding to A the primary key of B. Rule #4: For each binary one-to-one relationship R between entities A and B with their corresponding relations S and T, include in S, the primary key of B. Further, if the relationship R has attributes, include them in S. Alternatively, choose T in the role of S. Rule #5: For each binary one
a 28% improvement in persistence throughchallenging coursework.Lave and Wenger's (1991) Situated Learning Theory provides the third theoretical pillar, asemphasized in Brown et al.'s (2017) research showing how AI-supported authentic learningenvironments increased student engagement by 45% and improved transfer of theoreticalknowledge to practical applications by 38%. The integration of these theories creates a robustframework for understanding how AI tools can simultaneously reduce cognitive barriers, buildstudent confidence, and provide authentic learning experiences.Figure 1 illustrates the integration of these theoretical perspectives, demonstrating how theywork together to support comprehensive learning outcomes
. Craven, F. W., & Slatter, R. R. (1988). An overview of advanced manufacturing technology. Applied ergonomics, 19(1), 9-16. 3. Vichare, P., Nassehi, A., Flynn, J. M., & Newman, S. T. (2018). Through life machine tool capability modelling. Procedia Manufacturing, 16, 171-178. 4. Adeleke, A. K., Montero, D. J. P., Olu-lawal, K. A., & Olajiga, O. K. (2024). Statistical techniques in precision metrology, applications and best practices. Engineering Science & Technology Journal, 5(3), 888-900. 5. Hartikainen, S., Rintala, H., Pylväs, L., & Nokelainen, P. (2019). The concept of active learning and the measurement of learning outcomes: A review of research in engineering higher education
wildfires on the monitoring of said wildfires. 7Bibliography[1] H. An, J. Gan, and S. Cho, “Assessing Climate Change Impacts on Wildfire Risk in the United States,” Forests,vol. 6, no. 12, pp. 3197–3211, Sep. 2015, doi: 10.3390/f6093197.[2] A. Mohapatra and T. Trinh, “Early Wildfire Detection Technologies in Practice—A Review,” Sustainability, vol.14, no. 19, p. 12270, Sep. 2022, doi: 10.3390/su141912270.[3] J. D. Coop, S. A. Parks, S. R. McClernan, and L. M. Holsinger, “Influences of Prior Wildfires on VegetationResponse to Subsequent Fire in a Reburned Southwestern Landscape,” Ecological Applications, vol. 26, no. 2, pp.346–354, Mar. 2016, doi
in the field of engineering. The long-term goal is to develop strategies thatreduce inequalities associated with factors, such as gender, race, or socio-economic status, andbroaden inclusivity in the professional formation of engineers.References[1] N. S. Foundation, "New Formulas for America's Workforce: Girls in Science and Engineering.," ed. Arlington, VA: National Science Foundation, 2003.[2] N. S. Foundation, "Women, Minorities, and Persons with Disabilities in Science and Engineering," ed. Arlington, VA: National Science Foundation, 2017.[3] N. S. Board, "Science and Engineering Indicators," ed. Alexandria, VA: National Science Board, 2018.[4] D. E. Chubin, G. S. May, and E. L. Babco, "Diversifying the
’Level 2’ in Figureearly 1900’s with a double peak at 692.7 nm 1. The stability of this metastable state can beand 694.2 nm, corresponding to the characteristic measured by the fluorescence lifetime, which relatesR1 and R2 lines (5, 6). With lower resolution to how long the crystal will fluoresce in the absenceinstruments, only a single primary peak was of pumping, and therefore the time for which theredetected at 694.2 nm (2). Other fluorescence lines is a sizeable metastable population. Whereas mosthave been detected near these peaks at 671, 688, materials have nano or picosecond fluorescence695, and 710 nm (3), corresponding to fluorescence lifetimes (8
integrating and applying this information cohesively for a specific task. This limitation is evident in Steps 8 and 9 of ChatGPT’s solution, which redundantly recapitulate prior results, ultimately culminating in Step 10’s provision of a wholly incorrect conclusion—a mere !"# *, - $% repetition of information from Step 5 𝑎 = *' . It is evident that ChatGPT failed to resolve this problem, yielding a result that appears far- )./ fetched, with 𝑎& incorrectly equated to
Emphasize? A Systematic Review,” Journal of Engineering Education, vol. 106, no. 3, pp. 475–526, jul 2017. [2] D. L. Evans, G. C. Beakley, P. E. Crouch, and G. T. Yamaguchi, “Attributes of Engineering Graduates and Their Impact on Curriculum Design,” Journal of Engineering Education, vol. 82, no. 4, pp. 203–211, oct 1993. [3] D. Hume, A treatise of human nature. Dover, 1739. [4] I. Kant, Critique of pure reason. MacMillan, New York, NY, 1781. [5] T. Lillis and J. Turner, “Student Writing in Higher Education: Contemporary confusion, traditional concerns,” Teaching in Higher Education, vol. 6, no. 1, pp. 57–68, jan 2001. [6] S. Conrad, “A Comparison of Practitioner and Student Writing in Civil Engineering,” Journal of Engineering
in class greatly improved their ability to comprehend course material. Moreover, thestudents gained a stronger understanding of engineering in general, while developing self-confidence needed to excel in engineering related fields. Others felt valued by being treated asstudents in top tier institutions, while a few mentioned the rigor of the course is needed to ensurethe quality of education. These results were also reflected in student responses from the tier-oneinstitution.REFERENCES[1] Alon, S., 2007. The influence of financial aid in leveling group differences in graduating fromElite institutions. Economics of Education Review 26, (3), in press.[2] Bidwell, C. E., & Kasarda, J. D. (1980). Conceptualizing and measuring the effects of
. Students also integrate artinto the design to create an organic shape of fish and craftily shape the fins and tail into the moldto get fish features.3.2 ParticipantsThe participants were students in an Industrial Engineering course at a tribal university withABET Accredited Engineering programs. Six students participated in the course, consisting offive males and one female, aged 20- 36.3.3 Data Collection Instrument(s)The results were collected using a metacognitive reflection assignment consisting of twosections, Part 1 - Photovoice Reflection Prompts and Part 2 - Open-Ended Reflection Questions,with three questions in each area. Each student received a Metacognitive Reflection Assessmentwith Part 1- Photovoice Reflection Prompts and Part 2
and Operations Research from the Pennsylvania State University. ©American Society for Engineering Education, 2023 Navigating Intersectional Identities in Civil Engineering Education and Practice1 Introduction:Underrepresentation is a well-known and researched topic in academia, specifically forengineering that remains a White, male-dominated field [1]. Underrepresentation is defined by “apopulation’s representation in education and employment that is smaller than their representationin the U.S population.” It is also defined by the uniformity of representation by field, forexample, “Although women have reached parity with men among S&E bachelor’s degreerecipients—half
, belts, and chains, and other components. 7. Perform work in accordance with safety rules and procedures.3.3 Data Collection Instrument(s)Data collection instruments are detailed by Bosman and Shirey [33]. Upon completion of themodule, students submitted photovoice metacognitive reflection. Prompts are provided in insert2: Photovoice Reflection Prompt A (Entrepreneurial Mindset): The entrepreneurial mindset is defined as “the inclination to discover, evaluate, and exploit opportunities.” Explain how participating in the newly developed curriculum incorporated the entrepreneurial mindset, and lessons learned relevant to the entrepreneurial mindset. Photovoice Reflection Prompt B (STEAM): STEAM (science, technology, engineering, arts, math) goes
thepostdoc program is to create well-rounded scholars versed in research, teaching, and service.Using artifacts and postdoc reflections, this study aims to explore the experiences of the firstcohort of LEGACY postdoc scholars to understand how a newly created intersectionalmentorship model facilitates scholars’ progression toward faculty positions while curating aninclusive community and culture for scholars. The intersectional mentorship model framing this postdoc program is based on researchconducted by Dr. Cox, with some adaptations from Walker et al.’s (2009) The Formation ofScholars, which presents a multiple apprenticeship framework that offers a holistic approach tomentoring for scholars. The three mentor types in the program are primary
Example(s) Coded Example(s)PROBLEM Asking for help resolving a debugging "What does your for loop look like? for ?Students looking for assistance by either error = ? to ?"asking or stating an issue they are facing Stating that MATLAB is giving an error "can anyone help me with part A? it says and they do not know how to resolve it my frequency and length are [1 8 ] instead of [8 1] im not sure how to fix it"EXPLANATION
Professionalization Workshop (SPW)– theme and example quote(s) Writing a resume and/or research statement • I learned the format for a research resume. • The fact that we had our personal statements and resumes checked gave me more confidence while applying for different things. • Being able to have a research statement ready for future opportunities.” • …that I learned how to build a stronger resume. • …the ability to receive training that was very helpful in guiding our preparation for different career paths be it be from our written assignments like the resume… Learning about professional conduct, ethics, or environment in the field • It gave me examples of …how to professionally conduct myself in a field that
Cleveland Economic Commentary (2004): 1.12. Berger, Suzanne. "Why manufacturing matters." Manufacturing is not merely about giving people jobs. The next generation of technological innovations is intimately tied to production processes (2011).13. Brundiers, Katja, and Arnim Wiek. "Do we teach what we preach? An international comparison of problem-and project-based learning courses in sustainability." Sustainability 5.4 (2013): 1725-1746.14. Vogler, Jane S., et al. "The hard work of soft skills: augmenting the project-based learning experience with interdisciplinary teamwork." Instructional Science 46.3 (2018): 457-488.15. Brassler, Mirjam, and Jan Dettmers. "How to enhance interdisciplinary competence—interdisciplinary problem-based
conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] X. Chen, “STEM Attrition: College Students' Paths into and out of STEM Fields,” Statistical Analysis Report. NCES 2014-001. National Center for Education Statistics, 2013.[2] President’s Council of Advisors on Science and Technology (PCAST) “Engage to excel: Producing one million additional college graduates with Degrees in Science, Technology, Engineering, and Mathematics,” Washington, DC: The White House, 2012.[3] J. G. Cromley, T. Perez, & A. Kaplan. “Undergraduate STEM achievement and retention: Cognitive, motivational, and institutional factors and solutions
technical leader. The program grew steadily, attracted 10 corporate sponsors,and was awarded two major NSF S-STEM grants. The NSF research sought to understand ifearly leadership training resulted in higher graduation and retentions rates and faster time tograduation for academically talented, financially disadvantaged STEM majors. The preliminaryresults indicate a highly positive association.The goal of the LDP has remained the same since inception, help STEM students become futureleaders in industry by providing leadership training and mentoring with a cohort experience ofco-curricular education and community service opportunities. Teaching and modeling authenticproblem-solving to future leaders is an essential strategy and key component of the
counterparts.This lack of diversity in faculty ranks is concerning as a diverse faculty is needed to attractstudents from the U.S.’ changing student demographics [4]. In 2006, underrepresented groupscomprised 28.5% of the population, but only 9.1% of the BS STEM degrees [5]. More than 10years later, women, African American and Hispanics remain significantly underrepresented inSTEM fields, especially in engineering [6]. Having T/TT faculty from underrepresented groupsis critical to help students from all levels (B.S. through post-docs) to succeed in engineering [7].Taking course(s) from faculty of the same demographic background has had a positive impact onthe success of undergraduates from underrepresented groups [8]. Different perspectives fromwomen and
, pp. 231–235, 1999.[4] R. Anholon, I. S. Rampasso, D. A. L. Silva, W. Leal Filho, and O. L. Quelhas, “The COVID-19 pandemic and the growing need to train engineers aligned to the Sustainable DevelopmentGoals,” International Journal of Sustainability in Higher Education, vol. 21, no. 6, pp. 1269–1275, 2020.[5] A. Dale and L. Newman, “Sustainable development, education and literacy,” InternationalJournal of Sustainability in Higher Education, vol. 6, no. 4, pp. 351–362, 2005.[6] ABET, Sustainable Education: Readying Today’s Higher Ed Students to Tackle the World’sGrand Challenges, Multiple Authors, Fall 2018. [Online]. Available: https://www.abet.org/wp-content/uploads/2018/11/ABET_Sustainable-Engineering_Issue-Brief.pdf [Accessed: 8-Feb-2022
.[2] N. Cross, Engineering Design Methods: Strategies for Product Design, 4th ed. West Sussex, England: Wiley, 2008.[3] C. L. Dym and P. Little, Engineering design: A project-based introduction, Third. Hoboken, NJ: John Wiley & Sons, 2004.[4] M. French, J. Gravdahl, and M. J. French, Conceptual design for engineers. London: Design Council, 1985.[5] P. Yock et al., Biodesign: the process of innovating medical technologies, 2nd ed. Cambridge University Press, 2015.[6] J. W. Lee, S. R. Daly, A. Huang-Saad, G. Rodriguez, Q. DeVries, and C. M. Seifert, “A solution in search of problems: a cognitive tool for solution mapping to promote divergent thinking,” J. Eng. Des., vol. 32, no. 6, pp. 300–321, Jun. 2021, doi
CIT21400 course. In this study, we integrated the microlearning instructional approach into CIT 21400to help engage students and retain the knowledge gained through the introduction to datamanagement course. CIT 21400 is a required class for all CIT students and a prerequisite for allother courses in the data-management concentration. Figure 1 shows the current plan of study forthe CIT data-management concentration; we draw particular attention to CIT 21400’s position asa prerequisite course for all data-management courses. Approximately 140 students who enroll inCIT 21400 will directly benefit per academic year. We anticipate seeing learning and performancegains over time as students continue in their programs as an outcome of our research
distribution (both standard deviation and range) ofconscientiousness had positive correlation while the min conscientiousness had negativecorrelation with both novelty and complexity measures of the CPSS evaluation. Agreeablenessand neuroticism had a positive correlation with DQR measures. A plausible causal mechanism isthat agreeableness would improve team collaboration and thereby design team outcome.Interestingly, neuroticism showed a positive correlation with the DQR framework in both theteam maximum and the interval/standard deviation. This implies that having a team member withhigh neuroticism is a positive factor, but it is also beneficial to balance that with team member(s)with lower neuroticism scores. Intellect was found to have
cultural needs of students.Future work regarding the emphasis on science teachers as agents for change will focus on thein-school context of the action research projects. In this regard, qualitative and quantitative datawill be reported on novice teachers' engineering and cultural self-efficacy for teachingengineering processes.16 References[1] T. R. Guskey, "Professional development and teacher change," Teachers and Teaching, vol.8, (3), pp. 381-391, 2002.[2] B. Huang, M. S. Jong, Y. Tu, G. Hwang, C. S. Chai, and M. Y. Jiang, "Trends and exemplarypractices of STEM teacher professional development programs in K-12 contexts: A systematicreview of empirical studies," Comput. Educ., pp. 104577, 2022.[3] J. A
., Lundy-Wagner, V. C., Drezner, N. D., Gasman, M., Yoon, S., Bose, E., & Gary, S. (2009). The contribution of HBCUs to the preparation of African American women for STEM careers: A case study. Research in Higher Education, 50, 1-23.4. Smyth, F. & McArdle, J. (2004). Ethnic and Gender Differences in Science Graduation at Selective Colleges with Implications for Admission Policy and College Choice. Research in Higher Education, 45, 353–381.5. Scriven, O. (2013). Why so few? African American women in STEM—Part II: By the numbers. Scientista. http://www.scientistafoundation.com/scientista-spotlights/why-so- few-african-american-women-in-stem-part-ii-by-the-numbers#sthash.%20HwrVZ5ir.dpuf6. Alliman
potential,” Qual. Quant., vol. 47, no. 2, pp. 659–676, 2013.[9] M. Borrego, M. J. Foster, and J. E. Froyd, “Systematic literature reviews in engineering education and other developing interdisciplinary fields,” J. Eng. Educ., vol. 103, no. 1, pp. 45–76, 2014.[10] V. Braun and V. Clarke, “What can "thematic analysis" offer health and wellbeing researchers?,” Int. J. Qual. Stud. Health Well-being, vol. 9, p. 26152, 2014.[11] C. Robson and K. McCartan, Real world research : a resource for users of social research methods in applied settings, 4th ed. 2016.[12] J. Saldaña, The Coding Manual for Qualitative Researchers, vol. 90, no. 1. 2014.[13] A. S. Hanbazazah, “The Need for Social Intelligence
-time full-time first year students who complete a certificate or degree withinthree years) were in the single digits or low teens.At Wright College and its larger system, these failings – particularly of student success – werewell known for decades. Through a comprehensive series of reforms and changes implementedover five years, rates began to improve. Among the many changes were the implementation ofguided pathways, targeted completion programs (College Completes), customer business models,predictive scheduling, revisions to developmental education, and more [14]. None of these changeswere unique; all were drawn from research on best practices. High level, the community collegesystem followed many of the reforms advocated in Bailey et. al.’s
a Mathematician and Computer Systems Analyst for the U. S. Department of Energy as well as more than 25 years of experience teaching mathematics, statistics, computer science, and first-year engineering courses in higher education institutions. Currently, she leads a team of faculty who are dedicated to providing first year engineering students with a high- quality, challenging, and engaging educational experience with the necessary advising, mentoring, and academic support to facilitate their transition to university life and to prepare them for success in their engineering discipline majors and future careers. American c Society for Engineering
twogroups were statistically comparable (i.e., support groups’ homogeneity), demographics,preparation level, personality types, and VR and gaming experience levels were collected at thestart of the course (see Figure 2 and Table 1). Figure 2. Experimental protocol usedTable 1. The instruments used in this study Instrument Description Event Time Demographics Collects demographic information such as age, gender, and race. It At the beginning of also collects information about the student preparation level (GPA the semester in the and the prerequisite course(s) grade(s)), semester standing
. Capstones courses can be somewhat limited and late in the coursesequence. What is needed is continuous exposure to support consumer value – true productivityto make the needed pedagogical impact. Sadly, recalls abound annually and there is no lack ofexamples.Recalls provide the needed context to engage and enhance a student’s intellectual interest; theneed to identify and solve a problem(s). As students enters individual courses these recalls,within the balanced scorecard milieu, girded by IoT can help to engage student’s intellectual Page 10 of 16curiosity. They can see the direct application of course content throughout their program ofstudy. In addition, the