about the future job market and some business skills. Thecourse was delivered to students receiving the National Science Foundation (NSF) Scholarship inScience, Technology, Engineering, and Mathematics (S-STEM) that focused on teamwork.Students were grouped in teams of 5 students from sciences, mathematics, engineeringtechnology and computer information systems disciplines. This article presents the students’perceptions of the course which exposed students to job search skills, and helped them developteamwork skills by researching a company and presenting the results to the class. In addition toclass meetings, students regularly met in groups outside of class to discuss their findings and tocreate their PowerPoint presentations. Student’s
AC 2011-1377: DEFINING AN EVALUATION FRAMEWORK FOR UN-DERGRADUATE RESEARCH EXPERIENCESLisa Massi, University of Central Florida Dr. Lisa Massi is the Director of Operations Analysis in the UCF College of Engineering & Computer Science. Her primary responsibilities include accreditation, assessment, and data administration. She is a Co-PI of the NSF-funded S-STEM program at UCF entitled the ”Young Entrepreneur & Scholar (YES) Scholarship Program.” Her research interests include program evaluation and predictors of career intentions.Michael Georgiopoulos, University of Central Florida Michael Georgiopoulos is a Professor in the UCF Department of Electrical Engineering and Computer Science and the PI of the
computer and with no specific requirements. Anyone with anInternet connection and access to a web browser can interact with and control a remoteexperiment from anywhere. Users and experiment developers no longer have to worry aboutversion problems or updates, since all the interfaces do not use proprietary technologies.Acknowledgement and DisclaimerThis work is partially supported by the National Science Foundation under Grant Numbers EEC-0935208, EEC-0935008.Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.Bibliography1. Ambrose, S. A., & Amon , C. H. (1997). Systematic design of a first-year mechanical
degree of freedom E the modulus of elasticity of the material.eta normalized coordinate within the finite element (vertical){F} column matrix of applied forces[K] stiffness matrix of the finite element model.kconst a constant[L] lower triangular matrix formed from [ K ]ndofout the number of degrees of freedom which are constrained to u = 0, v = 0, or both.nu the Poisson’s ratio of the material.thick the thickness of the finite element(s)[U] represents the inverse of [ L ]{u
& Integrity. Given an engineering situation D 1, 2where a question of ethics was concerned, discuss the issues andpossible outcomes.Code of Ethics. Investigate codes of ethics for various professional D, AT 1, 3organizations; develop a “Code of Ethics for Engineering TechnologyStudents.”*Presentation (P); Group Discussion (D); Simulation (S); Individual Assignment (A1); Team Assignment (AT).Table 3. Discussion Topics and Exercises Related to Academic Expectations and Skills CourseDiscussion Topics & Exercises Format* GoalTeambuilding & Communication. Students
validated via internal team member checking (Creswell & Miller, 2020), andare further explored herein.Results and DiscussionAs of the writing of this paper, the professional ethics micro-credential is nearing completion. Inthis section, we dwell on how the micro-credential creation process itself went. Mindful ofMercer-Mapstone et al.’s (2017) observation that partnership challenges are likely underreportedin the literature, we do not shy away from discussing both challenges and advantages. Weindividually examine our views as participants in the co-creation experience before turning ourcollective attention back towards anticipated future work.Student PerspectiveThe micro-credential creation process has been a thrilling experience for me
dimensions defined above. Measuring AE levels across variouspopulations, e.g. engineering students vs. working professionals, could provide insight into howadaptiveness progresses over time and eventually how targeted activities can be designed todevelop these types of cognitive skills in our engineering students.Currently there is very limited data on AE measurements of any population. In this study, we aimto establish baseline measurements of these dimensions by collecting and analyzing survey datafrom first-year students in STEM fields over multiple years. This research is conducted inconjunction with an NSF S-STEM program aimed to support our limited income studentsthrough scholarship, mentorship, and workshops centered around AE. Accordingly
with the TA mentor, providedguidance throughout, and collaboratively participated in the implementation and assessment.Program structure and summary of the activity design processThe program lead and the mentor met briefly with the participating course instructors and their TA(s) toexplain the goals and objectives early in the semester. The mentor subsequently met with the course TA(s)and shared the backward design process [7]. In summary, the design sequence is: determining the learningoutcome, designing an assessment to measure if students accomplished the outcome, and designing anactivity to help students accomplish the outcome. As another step, this program included designingretrospective post-assessment questions to help students self
Engineering.Jyothsna Kavuturu, Jyothsna K. S., Department of English, St.Joseph’s College, Bangalore, secured a gold medal for the high- est aggregate marks in the Post Graduate English Literature Course at St.Joseph’s College (autonomous). K. S. has been working for the Department of English, St.Joseph’s College for almost two years now, teaching both undergraduate and Postgraduate courses in English. K. S. has published papers in intramu- ral and extramural publications, and presented papers at several conventions, conferences, and seminars. Page 23.1122.1 c American Society for Engineering
24 25 24 25 25 25 27 27 272018 29 28 29 24 25 25 25 25 25 27 27 272017 29 27 28 23 24 24 24 25 25 27 27 27Relationships between Spatial Skills and Semantic and Phonemic FluenciesResearchers conducted a study that examined verbal skills, spatial skills, and their relation toproduction of hand gestures [23]. In that study, verbal skills were categorized as semantic, thesize of vocabulary, and phonemic, how effectively an individual can form a cohesive sentence.For example, a semantic task would ask the participant to name animals, and a phonemic taskwould ask the participant to name words that begin with the letter “s.” These tasks are normallytimed (e.g
detailing their projectin a multi-page overview. Their graded scores over the research progress were high, placingthem in GPA range for the courses 3.6 and above (as measured by percentage score). Over thepercentage score, the students were rated on a satisfactory level equivalent, from S+ to S- asshown in Figure 2.Most programs that are not connected to a specific graduate program and have a technical focus,such as Engineering, tend to not meld English into their technical program as a requirement; it isnot deemed as necessary as the technical work is completed. For SAIP, the cohesion betweenEnglish and Engineering prepares the students better for graduate programs, giving them thelanguage skills they need in addition to a well-planned technical
theattainment of the aforementioned outcomes. The plan comprised the following operational tasks: 1. Share K-State’s vision with ET faculty, students and staff. 2. Isolate the Department’s potential for, and area(s) of, excellence. 3. Modify existing departmental goals to align with University themes. 4. Develop a strategic plan for realization of departmental goals.MethodologySWOT analysis. Items 2-4 comprised a three-phase Strengths, Weaknesses, Opportunities, andThreats (SWOT) exercise which necessitated external intervention due to the complexitiesassociated with strategic planning. SWOT analysis is a basic, straightforward management toolthat provides a scan of the internal and external environments of
scientists and engineer gave rise to policy initiatives to increase the numberof women in science and engineering. Their review of the literature suggested that the persistentunder representation of women in the fields of science and engineering was in part due tomindset of education and public policy. Recent data from the National Science Foundationshows that the number of S&E bachelor's degrees awarded to women has increased every yearsince 1966 (excluding 1988), reaching 227,813 in 2004. Bachelor’s degrees awarded in S&E and non-S&E fields, by sex: 1966–2004 SOURCE: Women, Minorities and Persons With Disabilities in Science and Engineering (December 2006
testingwould also achieve a more confident value of electron beam coupling efficiency in Al 2219.Conclusion EBF3’s ability to produce near net shaped parts could reduce launch mass by replacingpotentially unused spare parts with a lower mass of wire. Without being able run simulations ofthe EBF3 process many experiments must be run to determine what is happening during theprocess. This becomes very time and economically inefficient. Simulation however, is anefficient alternative to experiment if it produce accurate results. One of the most importantProceedings of the 2012 Midwest Section Conference of the American Society for Engineering Education
with the 6 mm thickness was enclosedwith the 101 copper in this figure. For friction stir welding (FSW), the work pieces and thedonor were held using the workpiece fixture on the test bed of a FSW machine (see Fig. 1(b)).Before thermocouples were attached to the workpiece, the reliability of thermocouple wereevaluated. Three k-type thermocouples were attached 6 mm, 25 mm and 50 mm from theboundary as shown in Fig. 4(a). They were placed in front of the tool. For the welding, the sametype of the tool used for the insulation research. The FSW machine was programmed to have thetool plunge into the workpiece and then to travel at the 4.5 mm/s speed and the plunge force andangular velocity of the tool used were 5 KN and 1400 RPM, respectively
and high-speed fingerprint verification technique is proposed in this paper. Theproposed technique is observed to be very successful in recognizing a target fingerprint which isincluded in the database and reject any other fingerprints. It produces an efficient correlationoutput which clearly identifies the target fingerprints. The technique is also capable ofidentifying multiple fingerprints in the same input scene simultaneously. Computer simulationresults verify the effectiveness of the technique in different practical real-life scenario, like noisyscenes. Optical implementation of the technique will yield a real-time fingerprint verificationsystem for security applications. REFERE CES[1] S
tothe application (the control group). Using Student’ s t-test, the students’ mean performanceimproved at a nearly, statically significance level. IntroductionSeveral faculty who teach mechanical and electrical engineering commented that students aresometimes weak in vector algebra [1,2,3]. This prompted us to do a preliminary survey ofstudents in classes taught by one of us. We found that first-year students were weak intrigonometry. Students at University choose engineering either because they like to do it, forfinancial reasons or they want to contribute to humanity [4]. Preliminary data in this study andfrom teaching experience suggest that they have some weakness in vector mathematics whichtends to
studies could also address the impacts of team dynamics such assize, communication and leadership on the application of requirements tools and evolution [18],[19]. These studies would enable further assessment of the impact of QFD on requirementsevolution in capstone product design.References[1] D. G. Ullman, The Mechanical Design Process, 6th ed. Independence, Oregon: David G. Ullman, 2018.[2] G. Pahl and W. Beitz, Engineering Design: A Systematic Approach, 2nd ed. London: Springer, 1995.[3] B. Morkos, S. Joshi, and J. D. Summers, “Investigating the impact of requirements elicitation and evolution on course performance in a pre-capstone design course,” Journal of Engineering Design, vol. 30, no. 4–5, pp. 155–179
. Pallitt and K. Wolff, "Learning to teach STEM disciplines in higher education: A critical review of the literature," Teaching in Higher Education, vol. 24, no. 8, pp. 930-947, 2019.[2] D. Varas, M. Santana, M. Nussbaum, S. Claro and P. Imbarack, "Teachers’ strategies and challenges in teaching 21st century skills: Little common understanding," Thinking Skills and Creativity, vol. 48, p. 101289, 2023.[3] H. Jang, "Identifying 21st century STEM competencies using workplace data," Journal of Science Education and Technology, vol. 25, no. 2, pp. 284-301, 2016.[4] D. Tan, "The Significance of Integrating Engineering Design-Based Instruction in STEM Education," Science Insights Education Frontiers, vol. 24, no. 1, pp. 3827-3829, 2024
. Through real-world engineering applications, Dr. Bairaktarovaˆa C™s experiential learning research spans from engineering to psychology to learning ©American Society for Engineering Education, 2023 Assessment Instruments for Engineering Ethics Education: A Review and Opportunities AbstractAssessment plays an important role in education, and there is no exception in engineering ethicseducation. However, although there have been efforts to evaluate students’ learning inengineering ethics classrooms, relatively limited efforts have been made to utilize valid andreliable assessment instruments to evaluate students’ achievement of learning objectives inengineering ethics
providing just-in-time feedback. The subsequent lecture, then, expands on the workshopexperience and formally presents the week’s learning goal(s).The impact of this course redesign is measured by analyzing and systematically scoring students’final project deliverables in the course. The scoring rubric, which we describe later, used for thisstudy is based on the four mechanical design practices derived from Salehi’s STEMproblem-solving practices [14].MethodsAs we outlined in the paper we submitted to ASEE in 2022 [15], the Fall and Winter offerings ofthe ’21-’22 academic year were used as the control condition for this study (see figure 2). TheSpring offering of that academic year was the pilot for the developed intervention, and the ’22-’23Fall
instruments to assess the relationshipbetween PMP participation and individual-level persistence predictors, such as engineeringidentity, sense of belonging, and student thriving. Future longitudinal analyses that trackstudents’ enrollment in the school of engineering and time-to-degree completion will also revealif supporting first-year students during their transition to college yields ongoing benefits as theyprogress through their academic careers.References[1] J. P. Martin, S. K. Stefl, L. W. Cain, and A. L. Pfirman, “Understanding first-generation undergraduate engineering students’ entry and persistence through social capital theory,” Int. J. STEM Educ., vol. 7, no. 1, p. 37, Aug. 2020, doi: 10.1186/s40594-020-00237-0.[2] S. Secules
, vol. 1, S. H. Christensen, C. Didier, A. Jamison, M. Meganck, C. Mitcham, B. Newberry, Eds. Springer, pp. 171-189, 2015.[17] E. A. Cech, “The (mis)framing of social justice: Why ideologies of depoliticization and meritocracy hinder engineers’ ability to think about social injustices,” in Engineering education for social justice: Critical explorations and opportunities, vol. 10, J. Lucena, Ed. Springer, pp. 67-84, 2013.[18] E. A. Cech and H. M. Sherick, “Depoliticization and the structure of engineering education,” in International perspectives on engineering education: Engineering education and practice in context, vol. 1, S. H. Christensen, C. Didier, A. Jamison, M. Meganck, C. Mitcham, B
the community collegestudents. Community college students are more likely to leave school without a degree, andresearchers could focus on how in-class active learning use could possibly lead to higher studentretention and improved student outcomes.References[1] T. Bailey, R., S. Smith Jaggars, and D. Jenkins, Redesigning America's Community Colleges: A Clearer Path to Student Success. Harvard University Press, 2015.[2] A. K. Varty, "Promoting Achievement for Community College STEM Students through Equity-Minded Practices," CBE—Life Sciences Education, vol. 21, no. 2, p. ar25, 2022, doi: 10.1187/cbe.21-09-0237.[3] X. Wang, "Pathway to a Baccalaureate in STEM Fields: Are Community Colleges a Viable Route and Does Early
reflect the views of the NSF.ReferencesBertolini, R., Finch, S. J., & Nehm, R. H. (2021). Testing the impact of novel assessment sources and machine learning methods on predictive outcome modeling in undergraduate biology. Journal of Science Education and Technology, 30(2), 193-209.Brown, T.B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A. and Agarwal, S., (2020). Language models are few-shot learners. arXiv preprint arXiv:2005.14165.Burstein, J., Horbach, A., Kochmar, K., Laarmann-Quante, R., Leacock, C., Madnani, Nitin., Pilan, I., Yannakoudakis, H., Zesch,T., Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications
about engineering solutionsneeding to work, i.e. be economical and effective. Amy also mentioned that a completelycreative solution would not be achievable due to the constraints given in the problem. These statements suggest three key themes. First is that some domain knowledge relatedto a problem is helpful in allowing engineers to be creative. However, second, knowledge ofexisting solution(s) to the specific problem being solved impacts a practitioner’s ability to becreative. In this case they may not necessarily use their creativity to develop a new solution whenone is already known to exist and work. A third theme seems to suggest that practitioners mayfeel restricted by expectations, specifically that they are expected to develop a
describes tools and practices for creating, living, andsustaining partnerships between community colleges and B.S.-granting colleges of engineeringand computer science by drawing from our experiences in a multi-institutional partnershipfunded via an NSF S-STEM ENGAGE (Engineering Neighbors: Gaining Access, GrowingEngineers) program designed to support pre-transfer, low-income, academically talentedengineering and computer science students where participating institutions include twoCalifornia Community Colleges – Allan Hancock College and Cuesta College – that are highly-ranked Hispanic-Serving Institutions and a predominantly white College of Engineering atCalifornia Polytechnic State University (Cal Poly) in the California State University system
International Journal of Science Education 5(3) Top authors and their affiliations. Table 2 summarized the authors who havepublished more than three articles on STEM preservice teacher education. The top fourauthors are Blackley S, Aydin-gunbatar S, Sheffield R and Radloff J. They havepublished four or more articles that were related to STEM preservice teacher education.From the analysis of these authors’ affiliations and countries, there is an obviousphenomenon of cooperation between the authors of the same university or country,especially Curtin University. STEM pre-service teacher education is a relatively newfield, but some trends are beginning to emerge, there is a great space and potential forresearchers
accomplished in four ways: • With a target image (or marker): A static 3D image appears after the camera associated with the application recognizes a pre-determined reference image (a marker). • With a target image and animation(s): An animated 3D image (or multiple images in a sequence) appears after the camera associated with the application recognizes a reference image. User will not have control over the animation while operating the application. • With a target image, animation(s), and control script. One or more animated 3D images appear after the camera associated with the application recognizes a reference image. User will have control over the animation during operation of the application based on