surveyat least twice during the term, but some offered the surveys to students three or more times (integrated withcourse assessments). Surveys were administered through a mix of Google Forms and learning managementsystem (LMS) platforms like Canvas.After the term, a university analyst added demographic attributes (race/ethnicity, gender, and admit type)based on university records and then assigned a participant ID to each student so that the responses werestored in a de-identified format. As part of this process, 116 survey responses were removed due to mis-typed or incomplete student ids in the responses. Of the total enrollment of 3429 across the eight sections,there were 2753 unique student-course respondents, an overall response rate of 85
behavior in a Colpitts oscillator, the faculty note that without software “we havechosen to stay away from circuits that require a degree of mathematical sophistication beyond theundergraduate level” [8].A new class project was introduced in the course to expose students to a variety of analysisplatforms and to determine if a more familiar platform would yield similar or better results.Students were given the option to choose from a variety of software platforms including Excel,LabView, MatLab, SciLab, Javascript Web Pages, and C++. Students formed small groups of nomore than four to five students per group and selected a platform to use for the project. Thirteenprojects were developed by the 66 students in the course that represented all the
interpersonal activities with faculty members, or with fellow students, built around substantive, academic work.A major component of the educational delivery system is teaching, which is also an importantvenue for faculty-student interaction. K. Patricia Cross7 offered five research-based assertionsabout college teaching in her 1991 ASEE ERM Distinguished Lecture. Selected assertionsrelevant to this paper are: (1) good teaching makes a difference in student learning; (2) teachersvary markedly in what they are trying to accomplish through their teaching; and (3) there aresome characteristics and teaching methods that are associated with good teaching – knowledgeof subject matter, enthusiasm, and understanding of the learning process. She
was enrolled in the fall of 2002. The vision of theCollege and its subsequent curriculum development is a triumvirate of “superb engineering” inconjunction with the arts and business and entrepreneurship.3 The Olin mission is one of vision Page 11.1255.3and passion for change: “Olin College prepares future leaders through an innovative engineeringeducation that bridges science and technology, enterprise, and society. Skilled in independentlearning and the art of design, our graduates will seek opportunities and take initiative to make apositive difference in the world”.4 Olin engineers have competencies in the technical andcommercial aspects
, D. K. , Linking Design Process to Customer Satisfaction Through Virtual Design of Experiments Research in Engineering Design 2006. 17: p. 59-71.5. Grenier, A., and Schmidt, L. , Analysis of Engineering Design Journal Sketches and Notations in ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 2007. Las Vegas, NV.6. Bilda, Z., and Gero, J. , The Impact of Working Memory Limitations on the Design Process During Conceptualization Design Studies, 2007. 28: p. 343-367.7. Westmoreland, S., Schmidt, L., and Grenier, A. , Analysis of Capstone Design Reports: Visual Representations in Analysis ASME 2008 International Design Engineering
attitudes toward IL instruction vary; manyscience and engineering faculty have been found to be “more indifferent to the role of the libraryin undergraduate education than their colleagues in the social sciences and humanities”3.Nonetheless, across curriculum, most faculty favor a shared approach to teaching information-related skills.The timing and tailoring of library instruction is crucial,2 and an adaptable pedagogical approachis often required, which is only possible through direct liaison with departments and individualfaculty on an interpersonal level. Faculty often need hands-on training as well, to upgrade theirown information-seeking behaviors. IL would also ideally result in self-directed inquiry, or self-sufficient searchers, where
five years of experience incourses with professional skills associated with the course learning outcomes. After completingthe semi-structured interviews, the researcher held a 45-minute focus group with the same threeparticipants for “data validation and refinement purposes” [7]. The researcher disseminated earlyinformation on themes and categories and requested feedback on the findings using the sameparticipants.Invitation and ConsentThis work was part of a qualitative research methods class and received approval from aninstructor before starting the study; it did not go through formal IRB approval. After receivingapproval for the Pilot Study, the researcher emailed three targeted participants. The researcheremailed prospective candidates
pursuing academiccareers.IntroductionMentorNet (www.MentorNet.net), the E-Mentoring Network for Women in Engineering andScience, is a nonprofit organization headquartered in offices at San José State University, whichsince early 1998 has offered online mentoring programs particularly to serve women studyingengineering and science. MentorNet's mission is to further women's progress in scientific andtechnical fields through a dynamic, technology-supported mentoring program and to advancewomen and society by developing a diversified, expanded and talented workforce. MentorNet’svision is three-fold: to establish excellence in large-scale e-mentoring, to create the e-community of choice for women in engineering and science through online mentoring
the lecture rather than trying topush through as much material as possible in a given session. In cooperative learningspecifically, structured group activities where students pursue a common goal and requirecollaboration to reach the goal are used. In particular, there is a focus on cooperative incentivesinstead of competition so as to promote learning. Available evidence suggests that faculty shouldstructure their courses to promote collaborative and cooperative environments. The entire course Proceedings of the 2018 Conference for Industry and Education Collaboration Copyright ©2018 American Society for Engineering Education
course contents are available only to internalaudience through courseware such as BlackBoard or Moodle. We do our best to summarize thecollected data into a coherent segment of information. The raw data used in this paper are listedin Appendix A (course websites), Appendix B (textbooks used), and Appendix C (list of courseobjectives and goals by each course when available). Readers can also visit the informationonline at one of authors’ website at http://www.eg.bucknell.edu/~xmeng/webir-resources-asee2012.html.The rest of the paper is organized as follows. Section 2 is a review of other surveys of similarnature and general discussions of teaching and learning on the subject of information retrievaland web search. In Section 3, we present our
in academic entrepreneurship.At a national level, the NSF describes four overarching objectives for I-Corps,including: 1) leveraging federal research investments by advancing commercializationof research outcomes; 2) transforming the culture at the nation’s institutions of highereducation by preparing scientists and engineers to extend their focus beyond theresearch laboratory; 3) assisting STEM (science, technology, engineering, math)researchers to translate laboratory discoveries into product technologies with benefitsfor the economy and society; and, 4) increasing the economic impact of federally-funded research (National Science Foundation, 2019, p. 6). To achieve this, I-Corps wasinitially administered through a network of regional
competence and motivation, vol. 85, p. 104, 2005. [6] M. Dagley, M. Georgiopoulos, A. Reece, and C. Young, “Increasing retention and graduation rates through a STEM learning community,” Journal of College Student Retention: Research, Theory & Practice, vol. 18, no. 2, pp. 167–182, 2016. [7] G. Lichtenstein, H. Loshbaugh, B. Claar, T. Bailey, and S. Sheppard, “Should I stay or should I go? Engineering students’ persistence is based on little experience or data,” in Proceedings of the American Society for Engineering Education Annual Conference, 2007, pp. 24–27. [8] Z. S. Wilson, L. Holmes, K. Degravelles, M. R. Sylvain, L. Batiste, M. Johnson, S. Y. McGuire, S. S. Pang, and I. M. Warner, “Hierarchical mentoring: A
Leifer, I integrate approaches from engineering, de- sign and psychology to investigate the contemporary team practice of multicultural design innovation and multicultural, interdisciplinary science innovation. Specifically, I investigate a psychological mechanism – perplexity - through which engineers thrive when their habitual mind clashes with the social realities. In addition, I test interventions to nudge engineers to reframe problematic schema-incongruent situations into unique opportunities for cognitive growth, creative performance, and effective teamwork. My work contributes to revealing the science behind multicultural, interdisciplinary technological collaboration and providing actionable guidance for
development of SDL skills, a course needs tostart where the student functions competently and then stretch them through activities which callon more active, independent learning. Grow illustrates this in Table 2.The importance of matching the educational challenge to the student’s level is a recurring themein our studies4,5,6 of how to optimize learning in lower division courses. In his nine-step modelof intellectual development in college students, Perry7 states that students can only understandconcepts that are one step beyond where they are functioning. Goleman’s book on emotionalintelligence describes optimum learning occurring when the student is in "flow", where thechallenge is just about achievable and there is total concentration on the task
. Page 7.981.4“Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition CopyrightÓ 2002, American Society for Engineering Education”Faculty Mentors will be selected through a proposal process. The proposals will include anoverview of the project, the role of the faculty mentor, the graduate and undergraduate fellowand the four undergraduates and a budget. RISE advisory board members, who are a diversegroup of individuals with high-level institutional and national perspectives on technicaleducation, will review the proposals. Considerations for proposal selection include:· Potential interest of the research topic to undergraduates· Potential for significant learning experiences for undergraduates
. • Searching full text requires advanced proximity searching beyond phrases in “ ”, such as “Ancient Puebloan” for more accurate results. This most often is done by using the PROXIMITY commands as WITH, NEAR, or PRE that specify that the words to the left and right must be within so many words of each other. Software allowing such proximity flexibility is to be a desired feature of the programming.Designing nomenclature and classifications systems for Tribal Archives and Collections toaccommodate both Indigenous Culture and the related dominant culture material is aschallenging as using the dominant culture’s existing databases. The lessons learned through thissearching exercise points to possibilities for
found that the engineering studentsmust typically minor in a Business/ Liberal Arts program that requires 25 to 26 credits tocomplete while the crucial topics in financial accounting and finance are only 7 of the 25 or 26credits. It was found that less than 2% of the students in the industrial engineering program hadactually declared the Business/ Liberal Arts minor as a minor they were completing. The minordegree program is administered through the College of the Liberal Arts, not the College ofBusiness at Penn State University Park. Students would have limited exposure to these topics ifthey completed an engineering entrepreneurship minor.Curriculum ChangesAs a result of the feedback from the corporate executives and the statistics on the
a learning environment in STEMeducation [1], but less is known about conducting engineering design challenge activities inhome environments. Although many studies highlight the development of STEM concepts andskills, more research is needed to understand how to support this development through caregiver-child interactions at home. This study aims to (a) investigate caregiver-child interactions thatsupport the development of child(ren)’s STEM conceptualizations and skills in engineeringdesign challenge activities within family pedagogical practices, and (b) examine caregivers’pedagogical expectations within family pedagogy. Guided by Vygotsky’s cultural-historicalview, the authors analyze child(ren)’s development of STEM conceptualizations
processes. Focused on co-creating long term partnerships that synergize community vision with Pitt’s core competencies of research and education, Sanchez has built up Pitt Hydroponics in Homewood, founded Constellation Energy Inventor labs for K-12 students, and re-created the Mascaro Center’s Teach the Teacher sustainability program for science educators in the region. As a teacher he designed and created the Sustainability capstone course which has annually partnered with community stakeholders to address sustainability challenges at all scales. Past projects have included evaluating composting stations in Wilkinsburg, studying infrastructure resilience in Homewood, enabling community solar in PA, improving energy
environment, and the growthof the economy.The NGSS, built upon The Framework for K-12 Science Education, explicitly integrate scienceand engineering, something previously done in only 12 states [2]. Explicitly integratingengineering practices and aspects of engineering design across the K-12 spectrum has broad aimsspurred by national reform documents and is justified by economic and/or national securityinterests [3]. Integrated learning experiences continue to be promoted because they impact careerchoice, increase student achievement [4] and harness students’ curiosity by providing authentic,design-based, cooperative learning experiences [5]. Using the NRC framework as a model, NGSSstandards were established so that each could be fully realized via
rapidly during thiscentury, there have been few empirical studies beyond a single institution's case. Furthermore,many case studies have also been limited to documenting changes in course maps or the explicitcurriculum, i.e., what is overt in the documentation. In light of this, this research presentsfindings from a doctoral thesis that analyses educators’ and students’ experiences of the explicitand implicit—which is learnt from the organisation, intentions, attitudes and behaviours of theeducators, for example, and what is not taught respectively—to provide a richer picture of whatis understood and experienced as the intended and enacted curriculum.In general, findings suggest that accreditation systems (such as the Washington Accord
) programs funded by the NSF – the NanoJapan: International REU (IREU)Program and the Rice Quantum Institute (RQI) REU at Rice University. NanoJapan is a twelve-week IREU program through which twelve freshman and sophomore physics and engineeringstudents complete cutting-edge research internships in the diverse fields of nanoscience andnanoengineering in laboratories at some of the best Japanese universities. The RQI REU is a ten-week domestic program in which twelve sophomore and junior students complete researchinternships with faculty at Rice University on quantum phenomena in atomic, molecular, solid-state,chemical, and biological systems. Our research identifies dimensions in which the IREU, as distinctfrom a domestic experience, may affect
Possibilities, Frankfurt, Germany: Peter Lang.[21] E. A. Strehl and R. Fowler, “Experimental evidence regarding gendered task allocation on teams,” presented at the ASEE Annual Conference & Exposition, Tampa Bay, FL, 2019.[22] A. Esquinca and L. Herrara-Rocha, “Latinx peristence in and beyond the degree: Intersections of gender and ethnicity,” presented at the ASEE Annual Conference & Exposition, Tampa Bay, FL, 2019.[23] J. Martin Trenor, S. L. Yu, C. L. Waight, K. S. Zerda, and T. Sha, “The relations of ethnicity to female engineering students’ educational experiences and college and career plans in an ethnically diverse learning environment,” J. Eng. Educ., vol. 97, no. 4, pp. 449– 465, 2008, doi: 10.1002/j.2168
the course of profit-seeking business activity. Timmons and Spinelli(2004) define entrepreneurship as creative human action that builds something of value fromalmost nothing through the pursuit of opportunity beyond the resources one actually controls.Entrepreneurship links vision, commitment, passion and people to a common cause. Table 1presents four different types of entrepreneurship in the marketplace.Table 1: Types of Entrepreneurship with Examples • Entrepreneurship and New Venture Formation – Creative human act that builds something of value from almost nothing at all: YouTube • Industrial Entrepreneurship – Innovative activities within manufacturing, supply chain, logistics and facilities: Phoenix Closures
described through this metaphoricframework. Our students instruct the new collegians to: • set the college stage early by knowing their desired major and being adequately prepared to pursue that major; • engage a supporting cast of peers, patrons and programs to become thoroughly involved in their academic careers; • accept the role of director by assuming academic responsibility including improving time management and study habits, and • anticipate and overcome critic’s reviews in the form of external grades and internal doubts.The data suggest differences in advice given by male and female students and students fromdifferent classifications (i.e., lower division students versus upper division students
facing a severe shortage inqualified personnel at all levels: Management, field personnel, and skilled craftspeople. The faceof the industry is changing rapidly with the introduction of new technologies in the form of newmaterials, construction techniques, and contractual relationships.For an academic program to survive and prosper in the current and future environments, it has toadapt to change, and in many cases lead that change. From the author’s experience and exposureto different academic programs, the quality of an academic program can be gauged through aquadrangle of elements, referred to in this paper by the acronym CAPE, which stands for: - Curriculum, which answers the question” What is to be taught?” - Assessment, which answers
underservedpopulation of mathematics and engineering students, as well as students from other technicaldisciplines that value analytical thinking (e.g. physical sciences and economics), with regard tomeaningful, discipline specific study-abroad course offerings.One well-established, popular, and effective mechanism for offering study-abroad J-term coursesat the University of St. Thomas is through a regional 5 school consortium, UMAIE3 (UpperMidwest Association for Intercultural Education). On a yearly basis UMAIE typically offersbetween 20-30 courses. Each school contributes faculty and students to create an annual Januarycurriculum, with the support of a coordinating organization for enrollment, marketing, logisticsand financial management. In our case, no
., & Sorensen, K. H. (2009). Walking the line? The enactment of the social/technical binary in software engineering. Engineering Studies, 1(2), 129–149.Leydens, J. A., Johnson, K. E., & Moskal, B. M. (2021). Engineering student perceptions of social justice in a feedback control systems course. Journal of Engineering Education, 110(3), 718– 749.Leydens, J. A., & Lucena, J. C. (2014). Social justice: A missing, unelaborated dimension in humanitarian engineering and learning through service. International Journal for Service Learning in Engineering, Humanitarian Engineering and Social Entrepreneurship, 9(2), 1– 28.Leydens, J. A., & Lucena, J. C. (2017). Engineering justice: Transforming engineering education
programminglanguage. IDEs offer programmers extensive development abilities. They understand languagesyntax and provide features such as build automation, code linting, testing, and debugging,which accelerate and simplify the coding process. Through the help of IDEs, students benefitfrom efficient programming, testing, and debugging. Students can further develop better codinghabits and flatten the learning curve of a new language. As a result, more and more instructorsstart involving IDEs in introductory-level courses such as PyCharm [43], Eclipse [42], andothers, to enhance student's coding experiences. In addition to traditional IDEs, many advancedcode editors like VS Code and Atom [3], can form an IDE-like environment through the1 This work was done
achieved significant improvements in project quality,depth, and originality. However, the paper also highlights ethical concerns, particularly regardingplagiarism, algorithmic bias, and data privacy. Through a comprehensive analysis, the study un-derscores the transformative potential of Generative AI while advocating for ethical guidelines toensure responsible usage in engineering education. Future work will focus on developing robustplagiarism detection tools and refining the ethical frameworks for AI integration in educationalsettings.Keywords: Generative AI, Engineering Education, Project-based Learning, Ethical Considera-tions1. Introduction1.1 Transformative potential of Generative AI in various sectorsGenerative Artificial Intelligence (AI