currently serving as the Interim Director of Digital Content for Physics, Engineering, and Computer Science at McGraw-Hill Higher Education.Andrew F Heckler, Ohio State University Andrew F. Heckler is an Associate Professor of Physics at Ohio State University. His original area of research was in Cosmology and Astrophysics. In the past nine years, he has focused on Physics Edu- cation Research, studying fundamental learning mechanisms involved in learning physics, the effects of representation on learning and problem solving, and the evolution of physics understanding during and after a physics course. As part of the education component of an NSF MRSEC center, he is also leading a project to identify and address student
desktop is then shared and made visible to the hybrid students via a Page 23.1176.6projector/screen and visible to the online students through Wimba. Any documents,PowerPoints, or other web sites accessed are readily viewed by all students. The archivecapability within Wimba captures and records both the visual and audio portions of the lecturefor later viewing or reviewing.This technical setting, thanks to the support of our IT department, distance learning, and ourinstructional design group, allowed a joint membership of both sets of students into oneconverged learning environment. Many times discussions or project presentations take
technology, and the emphasis on new energysources in the world.MethodologyThe data used in this study were drawn from the Sustainability and Gender in Engineering(SaGE) project (http://www.clemson.edu/~gpotvin/SaGE.pdf) which comprises is a large-scalestudy of students enrolled in introductory English courses at 2 and 4 year colleges across the U.S.(NSF GSE 1036617). These data are a nationally representative sample of college studentsenrolled in introductory English courses during the Fall semester of 2011. Drawing from astratified random sample of colleges and universities across the U.S. taken from the NationalCenter for Education Statistics (NCES), this study collected data from 6,772 students attending50 different institutions. The SaGE survey
together a five-week curriculum foreach of the four classes. The students were to teach 90 minutes per day M-F for the five-week period. During the last week of the program, the last two days were reserved for aparent day when the DR students demonstrated projects that they had been working onand a field trip day. The college students spent the Winter semester and Spring term preparing thecurriculum and planning the supplies that they would need for the entire program. Fromprior years’ experiences, the faculty had learned that nearly all of the supplies would needto be brought from the United States. The curriculum for the four classes involves a two-year sequence of content for thethree oldest classes, and one year for the youngest
prototype application using Kinect as range DAQ ineducational experiments was introduced. This low-cost system is able to identify and trackmultiple objects, and, in contrast to traditional DAQ systems, it does not need modification oradjustment in order to be used in different applications. The presented algorithm is efficient andcan operate in almost real time. In light of these advantages, Kinect was shown to have greatpotential for becoming an economical and versatile tool for a variety of applications in educationallaboratories.AcknowledgementsThis multi-disciplinary research project was carried out at Stevens Institute of Technology withfunding from a multi-year grant by the National Science Foundation (Award No 0817463). Thissupport is
between negative feedback and stability. It was also amazing how it applied to different order systems. Was very helpful and useful for me in my senior project class. It is indeed useful. I still visualize it when working with control/feedback systems in other classes. The analogy was very easy to imagine in the case of the car race because I drive a car and have first-hand knowledge of how driving a car works. By taking an analogy that was easily translated and related to everyday life, I believe I was more accurately able to understand steady-state errors. Page 23.1290.14 The analogy helped me to understand what would
rigorous research in engineering education.Prof. Louis V DiBello, Universtify of Illinois at Chicago Page 23.1352.1 c American Society for Engineering Education, 2013 Validating the Diagnostic Capability of the Concept Assessment Tool for Statics with Student Think-AloudsAbstractThis paper reports findings from a verbal protocol study eliciting students' reasoning about keystatics concepts as assessed by the Concept Assessment Tool for Statics (CATS). The work ispart of a larger project focused on developing a comprehensive model of validity for the use ofconcept
on ways to connect hands-on experiential components with distance learning opportu- nities for future water and waste water treatment operators.Dr. Andrew N.S. Ernest, Western Kentucky UniversityMr. Joseph Lee Gutenson, University of Alabama Mr. Gutenson is currently pursuing his master’s and Ph.D. in Civil/Environmental Engineering at the University of Alabama. His research interests include water resource planning and security, computer in- formation systems, and environmental sustainability. He has worked on a variety of water-related projects including several funded by the National Science Foundation, U.S. Environmental Protection Agency, and the National Institute for Hometown Security
programs as they begin early in the curriculum their introduction to the industry byproviding examples from the industry and assigning actual projects that students can seek data oradvise from one of the sponsoring companies. Not unlike the medical field, once an internspecializes in a certain field, there develops a bond between the individual and a particular groupof similar interests. So that by the time our alumnae are ready to join the workforce, they areeager to become part of a team they are already acquainted with.The three problems discussed are at the core of the daily operations of the WiSE Program andthe focus of its mission which “seeks to promote women’s education attainment, professionalaspirations, social responsibility and
lab class where they learn to implement a data acquisition system using LabVIEWand process the data using MATLAB. The purpose of this student paper is to show theimportance of data acquisition in engineering education, illustrate where data acquisition can beimplemented into the current engineering curriculum, and display some of its applications bydemonstrating the process of collecting and post-processing temperature, flow rate, and pressuredata in an example of heat/mass transfer experiment.KeywordsData Acquisition, LabVIEW, MATLAB, Undergraduate Student PaperIntroductionData acquisition (DAQ) is an integral part of many different research projects and has many usesthroughout the industry which is why there is a need in the engineering
-intensive university in the Midwest region of the U.S. The data for this study are hour-long,semi-structured interviews conducted for this broader project. Specifically, we analyze responsesto two questions: (1) “what made you decide to pursue engineering degree?” and (2) “have youever thought about leaving engineering?” These questions aimed to uncover what motivationsunderrepresented students had for choosing engineering, why they debated leaving, and whatdrives their persistence. © American Society for Engineering Education, 2024 2024 ASEE Midwest Section ConferenceParticipantsThe original study consisted of 21 undergraduate engineering students at a large, public, land-grant university in
sketching fundamentals inperspective to engineering students that was developed at Texas A&M University [6-11]. Thesystem has been deployed at three universities for 4 years in undergraduate and graduatemechanical engineering and design graphics courses. It has also been used by undergraduateinstructors outside of engineering. Students receive real-time feedback on their speed, precisionand smoothness and also an additional tip to help them improve. SketchTivity has repeatedlyimproved the sketching self-efficacy of students along with sketching skill development. Asurvey instrument that measures the self-efficacy of students was developed and validated as partof the project that helped us [12].A few years ago, an instructor who used
class format. Study participants stressed that achieving a high-quality learningexperience has prompted them to try something significantly new every year. Examples includetraveling to meet with remote students, curating exams for each location to accommodatedifferent exam schedules, incorporating or removing technology from the classroom such asZoom, hybridizing the course, implementing group projects and case studies, adding or removingteaching assistants, and attempting a flipped classroom.A problem consistently identified by the participants is boosting remote student engagement withthe course. One participant stressed, “… if you ask me, the most challenging thing is to keep thestudents engaged during the lecture.” Student engagement is
' critical thinking and problem-solving skills.In project-based activities, participants experimented with materials to examine their light-reflective properties. This material testing informed the design of daylighting systems for modelhouses, allowing students to directly apply the EDP. Through this hands-on approach, studentssynthesized their theoretical learning with tangible engineering tasks, and embodied the role ofengineers in solving contemporary challenges.Tools and InstrumentsQuantitative InstrumentsFor the quantitative analysis, we administered structured pre- and post-intervention surveys toevaluate changes in students' self-efficacy, STEM identity, and engineering knowledge. Thesesurveys, which featured a series of items on a 5-point
), and as a faculty member and junior consultant at FUTA (2013). His expertise spans deep foundations, pavement substructures, small dams, hydrocarbon contamination remediation, and landfill emission mitigation projects. Dr. Uduebor’s research focuses on sustainable civil infrastructure, ground improvement, and geohazards risk mitigation, leveraging his deep understanding of geomechanics and the application of water-repellent materials in geotechnical engineering. ©American Society for Engineering Education, 2024Work in Progress: Targeted Self-Graded Problems in Engineering MechanicsAbstractEngineering mechanics is known to be a “bottleneck” course required in various engineeringdisciplines
advisor, peer mentor, participate in the Careers inScience at Iona (CSI) Program, conduct summer research with a research advisor, and enroll intailored courses for DESIRE cohorts [41]. 22 DESIRE Scholars and 20 students from a controlgroup were surveyed on their campus engagement. DESIRE Scholars were significantly morelikely to be engaged in work study, student organizations, research projects, and professionalconferences when compared to students with similar academic and financial backgrounds thatwere not in DESIRE. One study [35] explored components of the University of Arkansas’ Pathto Graduation, an S-STEM program that serves up to 36 students and is meant to increase thenumber of STEM students from low-income, rural backgrounds, during
, demonstrating her commitment to excellence and innovation. Her active involvement in research projects and organizing key events, such as the Annual Geomatics Conference at Fresno State, highlights her dedication to her field and community.Dr. Kimberly Stillmaker PE, California State University, Fresno Dr. Kimberly Stillmaker is an Associate Professor in the Civil Engineering Department at CSU, Fresno in the area of structural engineering and the director of the Lyles College of Engineering Foundations for Success Program. She attained her PhD in Civil Engineering at UC Davis. Her research interests include structural steel welded connections and gender equity in engineering. She is a Co-PI on an NSF ADVANCE Partnership
ofengineering PhD students, and what type of training mode is suitable for differentengineering PhD students?3. Research design3.1 Research tools and variable settingsTo gain a comprehensive understanding of the current training experience of Chinesedoctoral students, the China Doctoral Education Research Center launched by PekingUniversity, commissioned by the Ministry of Education's Department of DegreeAdministration and Graduate Education, has been conducting the NationalPostgraduate Training Quality Feedback Survey Project since 2016. This nationalsurvey focuses on recent doctoral graduates. The team developed the NationalDoctoral Graduates Survey Questionnaire as a survey tool, drawing from existingsurvey questionnaires. The questionnaire uses a
in communicating complex and technical ideas. 3. Understand key ideas of how to use Excel as a tool to solve problems and communicate data in science and engineering. 4. Become proficient at using MATLAB, including writing .m files and correcting or modifying existing code. 5. Learn fundamental skills for group collaboration, as well as lab and project execution/documentation/demonstrations. 6. Address the role that artificial intelligence has in engineering. 7. Understand how to utilize a microcontroller to solve certain engineering problems.Therefore, ChatGPT was not introduced into the course until two-thirds of the way through thesemester. The purpose for introducing AI to the latter part of the semester was
difficult transition. To shed light on thechallenges faced by these students, Author 1 proposed the initial framework for this project toAuthor 3, who contributed to the comprehensive conceptualization of this exploratory study.Author 2 joined the team after most data analysis was completed and helped write the findingssection of the paper. Author 2 is a civil engineering undergraduate student and an undergraduateresearcher working under Author 3. All authors identify as white women.FindingsAfter conducting a thematic analysis on the data, we observed recurring themes that wereprevalent among professors with comparable levels of experience. As a result, our findings arestructured according to the experience levels of the participants. Table 2
able to effectively engage a broader audience.1. IntroductionThe number of jobs in software development is projected to increase substantially over the nextdecade [1]; this increased demand will require many new workers to learn how to developsoftware. Traditionally, many universities and colleges have provided computer science degreeprograms that will prepare future workers. However, more scalable approaches like MassiveOpen Online Courses (MOOCs) could be an alternative – a more scalable approach to preparingthe next generation of software developers that might reach a broader audience [2]. Thesecourses can help to address rising demand for computer programming education and expandaccess to educational opportunities [3]. Unfortunately, MOOCs
below. Moreover, R1 institutions, which tend to be more selective and frequently offerterminal/doctoral degrees, represent just about 3 percent of all postsecondary institutions inthe United States in 2017 [47].In addition, many institutions are mission driven: Land-grant and religiously affiliatedinstitutions, and those receiving funding from mission-driven federal agencies (e.g.,Department of Defense MURI projects), prioritize initiatives that impact student bodydemographics and programs offered – which may, in turn, affect gender-specific majoringand graduation dynamics. The landscape of postsecondary institutions is also internallystratified: A disproportionately large number of women and African American studentsattend 2-year and for
Formation of Engineers,” in 2019 ASEE Annual Conference & Exposition Proceedings, Tampa, Florida: ASEE Conferences, Jun. 2019, p. 32173. doi: 10.18260/1-2-- 32173.[40] A. Wilson-Lopez, C. Sias, A. Smithee, and I. M. Hasbún, “Forms of science capital mobilized in adolescents’ engineering projects,” Journal of Research in Science Teaching, vol. 55, no. 2, pp. 246–270, 2018, doi: 10.1002/tea.21418.[41] J. Martin, M. Miller, and K. Gipson, Utilization of a Think-Aloud Protocol to Cognitively Validate a Survey Instrument Identifying Social Capital Resources of Engineering Undergraduates. 2011. doi: 10.18260/1-2--18492.[42] D. Radhakrishnan, J. DeBoer, and N. Bhide, “Recentering local knowledge and developing collaborative
data analysis and Matplotlib for data visualization. The survey was conducted usingGoogle Forms and Excel.Ethical ApprovalThe manuscript includes results from anonymous end-of-course evaluation survey, end-of-coursestudent performance and pre/post lecture assessment performance survey. Students were providedwith an informed consent statement, approved by the University of California San DiegoInstitutional Review Board (IRB) (IRB-807339). The University of California San Diego hasdetermined that this project to be exempt under category 45 CFR 46.104(d) and CFR 46.117(c)(1)(ii).Results and DiscussionStudent Demographic:The Programming for Bioengineers course engaged in pre-post lecture self-assessments have adiverse background of 22 students
. Your dream job would involve (select all that apply and add write-in options) a. Hands on work b. Sitting in front of a computer and investigating simulations c. A good mix of option A and option B d. Write in: _______________ 10. When you think of a career in engineering, which of the following comes to mind? (Select all that apply) © American Society for Engineering Education, 2023 a. Great salary, and lots of jobs b. Exciting projects and meetings c. Long working hours d. Lots of mathematics and science e. Lots of hands-on, implementation work f. Write-in: ________________11. Rate the following images on a 1 to 4
Industry and Education Collaboration Copyright ©2024, American Society for Engineering Education ETD 515start time and 𝑞𝑖 be the conditional probability of failure (death), the survival probability to 𝑡𝑖 orbeyond is: 𝑆(𝑡𝑖 ) = ∏𝑖−1 𝑗=1(1 − 𝑞𝑖 ) Eq. 1In this project, a learning activity is analogous to a medical treatment. We apply this approach topredict students’ success.This versatile analytical tool has found applications in various domains, including education. Inthis literature review, we explore the
practices in the ABET criteria.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.2215788. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] National Research Council, A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. Washington, D.C.: National Academies Press, 2012, p. 13165. doi: 10.17226/13165.[2] C. L. Dym, P. Little, and E. J. Orwin, Engineering design: a project-based introduction, 4th Ed. New York: Wiley, 2014.[3] R. Lehrer, M. J. Kim, and R. S. Jones, “Developing conceptions of statistics
protocol.Table 2: Interview Protocol Interview Questions Probing Questions Section Subcategory (theory) (conversational) How did you learn about this research project? Tell me more about yourself. General N/A Tell me about your family. Background How did you learn about this institute
as first-year engineering students, understanding that they still have a lot to learn within the field and have their own specific areas of growth to focus on. 7 Stress I found this class to be stressful / I had a Students did not find the course to be overwhelmingly stressful but did lot of nervous energy surrounding this note that they felt the most stress during projects. course. 8 Stress I found it difficult to relax into this Students felt that there was a lot of work in this
SEEMA C. SHAH-FAIRBANK is an Assistant Professor and RBF Fellow of Civil Engineering atCalifornia State Polytechnic University Pomona. She obtained her BS in Environmental Engineering fromCalifornia Polytechnic State University, San Luis Obispo in 2001. Prior to attending graduate school at ColoradoState University (CSU) she spent 3 years working as a Design Engineer for RBF Consulting in Storm WaterManagement. Where, she worked on various flood control, hydrology and hydraulics projects. She is a LicensedProfessional Engineer in the State of California. She completed her graduate studies in Civil Engineering at CSUwith a MS in 2006 and Ph.D. in 2009, where she specialized in sediment transport and river mechanics. She teachescourses in