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Displaying results 33091 - 33120 of 40831 in total
Collection
2009 Pacific Southwest Section Meeting
Authors
Geon S. Seo; Eniko T. Enikov
280Properties and Micro/Nano Technologies for Biological Systems” in Fall semesters 2005 and 2007at the University of Arizona. In both semesters, students learned the same topics and performed thesame design term project based on a microcantilever sensor. However, in 2005 they designedcantilever sensors and simulated their deflection using computer programs such as ANSYS,SolidWork, and MatLab, and in 2007 the students fabricated their own cantilever sensors andperformed the experiment on deflection measurements with them. Table 2. The results of surveys. Fall 2005 Fall 2007 Questions (Answer: 1 - 10
Collection
2009 Pacific Southwest Section Meeting
Authors
Bruno Osorno
problemLectures-We posted lectures in WebctTM at least four days in advance. Students had a chance toread the lecture and print it. Two very important observations came to light; one that students didexpect to see the material in advance and two that students would print the notes. Handwrittennotes were acceptable because ElluminateTM and SmartboardTM allowed us to write on top of thenotes; consequently we have Image, Sound and Editing (ISE) all real-time. Ideally you want toupload the power point images provided by most textbooks and then use ISE.Expectations- Partlow and Gibbs [4] found that online courses should be relevant, interactive,project-based, and collaborative and should, furthermore, give learners some choice or controlover their learning
Collection
2009 Northeast Section Meeting
Authors
Warren A. Rosen; M. Eric Carr
the opportunity to learnhow a computer works from the inside out. Finally, we feel that the approach of having eachstudent construct his or her own working computer instills a real sense of accomplishment andself-confidence and provides an unusual skillset to attract potential employers. While further incremental changes to the course (notably, the creation of part kits as wellas streamlining of some labs) are needed to provide a smooth, polished course in Drexel’sdemanding ten-week quarter timeframe, the basic course as outlined here has great potential toinspire enthusiasm for engineering and digital design among Drexel’s AET students. Another major benefit of building a course around a complex project such as this is thatthe
Collection
2009 Northeast Section Meeting
Authors
Deborah Ihezie; S. Keith Hargrove
selection of a Leanassessment tool, a preliminary visit out to the facility, execution of the assessment, and analysisof the results from the assessment.4.1 Selection of a Lean Assessment ToolThe first stage of this research project was to select a Lean assessment tool to use in theevaluation of the current level of Lean at MRAS. Different assessment tools were compared andcontrasted to meet specific requirements. The decision criteria were created based on theusability of the assessment tool, metric, familiarity with MRAS, detail, and affordability. Thesefactors were used as a benchmark for the selection process.The Lean assessment tool selected for this study was Strategos Lean assessment tool developedby Quarterman Lee at Strategos Inc. Several
Conference Session
Educational Research and Methods (ERM) Division Poster Session
Collection
2022 ASEE Annual Conference & Exposition
Authors
Chuhan Zhou; Siqing Wei, Purdue University at West Lafayette (COE); Matthew Ohland, Purdue University at West Lafayette (COE)
improve intercultural competency and teamwork competency by interventions, counseling, pedagogy, and tool selection (such as how to use CATME Team-Maker to form inclusive and diversified teams) to promote DEI. In addition, he also works on many research-to-practice projects to enhance educational technology usage in engineering classrooms and educational research by various methods, such as natural language processing. In addition, he is also interested in the learning experiences of international students. Siqing also works as the technical development and support manager at the CATME research group.Matthew W. Ohland (Dale and Suzi Gallagher Professor of EngineeringEducation) Matthew W. Ohland is Associate Head and the
Collection
2008 ASEE Zone 1 Conference
Authors
Abdelshakour Abuzneid; Khaled Elleithy
do such a feedback from within to the outside world if anemergency to happen to one of the buildings in the University of Bridgeport, in particular, Engineering &Technology Building where we work most of the time. 3.1 Assessment We started to study how we can implement such a system in the engineering and technology buildingunder the following conditions: 1. Simple and cheap implementation since acquiring a huge budget for such a project was not feasible 2. Fixed system and dedicated to the building; works 24/7. 3. Can work in most if not all the emergencies. 4. In case of an emergency, it can send information from inside to outside. 5. Emergency responders can communicate directions and instructions
Collection
2008 ASEE Zone 1 Conference
Authors
Barrie Jackson
students are advised to not participate puts mixed teams of engineering students,law students, business students and students from arts and science at work on a project for an industrialclient. We can often raise the awareness of Process Safety Management in these projects and very oftenin order for the students to visit a client’s operation they are put through a rigorous Safety Introduction bythe client. We encourage this and most of our contacts are more than willing to comply as they certainlysee the need for awareness of the issue by potential employeesConclusionProcess Safety Management is a vitally important aspect of Chemical Engineering whether involved indesign, operation or maintenance. We believe that we have a responsibility to our
Collection
2008 ASEE Zone 1 Conference
Authors
Elif Kongar; Tarek Sobh
Publications/year 84 76 63 16Max Women Students 260 197 182 (14%) 17Min Attrition Rate (Max Retention) 3% 5% 7.5% 18Max Co-op and internship participation in co-op programs 95% 86% 80% 19Max # of Staff (Administrative Personnel) 10 5 5 20RO* # of Students per Class (Average) 25 35 * 30 21Max # of Projects sponsored by industry/year 50 30 25
Collection
2008 Northeast Section Meeting
Authors
Elif Kongar; Tarek Sobh
Publications/year 84 76 63 16Max Women Students 260 197 182 (14%) 17Min Attrition Rate (Max Retention) 3% 5% 7.5% 18Max Co-op and internship participation in co-op programs 95% 86% 80% 19Max # of Staff (Administrative Personnel) 10 5 5 20RO* # of Students per Class (Average) 25 35 * 30 21Max # of Projects sponsored by industry/year 50 30 25
Collection
2011 Northeast Section Meeting
Authors
Tahany Fergany; Amal Abd El?Raouf
, syntax, use, examples, programming tips, commonerrors, self-tests, etc.) as shown in figure 2. This facility will be different from the lectureand the class notes in giving wider selection of examples and reinforcing the connectionsbetween topics. In addition, material can be recalled and projected. Also, students wouldhave the opportunity to go over the material any time and more than once.3.2. Problem-Solving Module The students will access this module to apply the knowledge gained through theinformation module. This module includes all the learning activities illustrated in sectiontwo. It has a wide selection of examples of real-life problem and the accompanied resultsof using each learning activity. This module reinforces the
Collection
2011 Northeast Section Meeting
Authors
Vance Poteat
projects. When asked the same questionabout exams, the 2011 survey and 2005 survey answers were yes for 80.2% and 91.8%respectively. The same questions were then asked about college and the answers for the 2011 /2005 surveys were 46.2% / 82.2% for homework/projects and 51.3% / 80.6% for exams whichshow a noticeable drop from 2005.The students were then asked if they ever cheated in high school and college and the percentagethat responded yes are shown in Tables 2 and 3. Table 2 – 2011 Survey Results (% Yes) In High School In College EE CS CE All EE CS CE All Cheated 44% 59% 45
Collection
2012 ASEE Zone 1 Conference
Authors
Jumoke Ladeji-Osias; Gbekeloluwa Oguntimein; John Wheatland; Craig Scott; Yacob Astatke
Scholars in Engineering: A Scholarship Model for Student Mentoring and Retention Jumoke Ladeji-Osias, Gbekeloluwa Oguntimein, John Wheatland, Craig Scott, Yacob Astatke Morgan State University, Baltimore, MD, 21251AbstractThis paper describes a scholarship project, funded by the National Science Foundation toaddress the significant challenge of retention of students with financial need in engineering atMorgan State University, a public historically black university located in Baltimore, Maryland.Although our university is one of the top producers of underrepresented engineering graduates atthe undergraduate level in the
Collection
2007 St.Lawrence Section Meeting
Authors
Chioma Ekpo
individual andinteractive group sessions, we guide students to identify their technical and soft transferableskills from their community work, volunteer work, design projects, course work, and studentclub activities. Using self-assessment exercises, they are able to find the right vocabulary toconvey that experience in relation to the opportunities they are considering. The objective is to inturn generate a result-oriented resume, by understanding each employer’s needs. Secondly, weassist them in developing a sense of context at this stage, for example the notion of a wanting adream job is dismissed and replaced by a new attitude that understands that a career path ismapped out in stages with varying aspirations and challenges along the way, be it
Collection
2007 St.Lawrence Section Meeting
Authors
Daren R. Wilcox; Gerd W. Wostenkuhler
ispM4A5development board. Realizing the same logic with all three device technologies pulled the materialtogether for the students.The remaining laboratory assignments are centered on using VHDL to realize an equivalentimplementation of discrete MSI logic on the CPLD development board. Decoders, shift registers,counters, and state machines are taught in VHDL using a structural, data flow, or behavioral approach.The board can be used for different realizations of state machines like a traffic light sequencer or avending machine controller. The implementations include sectional test of the (sub-) modules in the realworld and discussions of used hardware (e.g. number of used macrocells).As a final consideration, a project that pulls all the key learning
Collection
2015 St.Lawrence Section Meeting
Authors
Iulian Gherasoiu; Mohammed Abdallah; Digendra Das; Daniel K. Jones; Harry Efstathiadis
nanotechnology andallowing the students to develop substantive capstone research projects. The undergraduate andgraduate curricula couples the intellectual and technological resources of CNSE's NanoTech 6 Proceedings of 2015 St. Lawrence Section of the American Society for Engineering EducationComplex. CNSE is pioneering an institutional model that integrates closely the educationalactivity of the students with the academic and industrial research. This concept offers multipleadvantages. Among them it provides access to state-of-the-art technologies, equipment, andprocesses, expanding the range of research that can be undertaken along the educationalinstruction. In return, the industrial
Collection
2015 Northeast Section Meeting
Authors
Corinna Fleischmann; Elizabeth Nakagawa; Tyler Kelley
interactive lesson then the presentation becomes tacit. To ensure guestspeakers are the latter, specific lessons are considered. To ensure a tacit guest speaker, thecourse instructors will only use guest speakers that would be able to give a more interactivelesson, based on the nature of their expertise and personality.Two topics that were considered for interactive guest speakers were the pavement constructionof Portland cement concrete and hot mixed asphalt. Ideally, the instructors will be able to reachout to construction managers of local ongoing pavement projects. The intention would be for thestudents to be able to walk a construction site while the guest speaker was explaining theintricacies of placing pavement. The class may have to start out
Collection
2015 Northeast Section Meeting
Authors
Matthew Stein
% 2% 10 14% 58% 11 53% 16% Strongly Agree Agree Neutral Disagree Strongly DisagreeThis section will consider the questions in order and discuss both the rationale for the question andmy interpretation of the responses.1. My prior coursework prepared me to use SolidWorks in this course. For the majority of respondents, prior coursework is a full semester of Engineering Graphics and Design three semesters prior and a single project in Statics one semester prior. Students indicated agreement by a margin of approximately 4:1, and this is interpreted as
Collection
2014 ASEE Zone 1 Conference
Authors
Remah Alshinina; Christian Bach
visualize the requirements of design-science research. Forcognitive information-processing patterns that increase the each specific project, it is important to know when and wherelikelihood of employing aggressive problem-solving strategies these guidelines are used and how are these beneficial in themanifesting in aggressive behavior. The positive aspects of the research process (10). While some researchers developresearch methods involving behavioral science were to take information systems that meet the management requirements,into account many factors that can influence a certain type of others methods where the management issues remainbehavior in human. On the contrary, the negative aspect was
Conference Session
Professional Papers
Collection
2025 ASEE Southeast Conference
Authors
Kimberly T. Luthi, Embry-Riddle Aeronautical University - Worldwide; David Paul Harvie, Embry-Riddle Aeronautical University - Worldwide; John K Wilson, Embry-Riddle Aeronautical University - Worldwide; Monica Surrency, Embry-Riddle Aeronautical University - Worldwide
Tagged Topics
Diversity, Professional Papers
onnon-traditional students in foundational engineering courses that have potential to leave theengineering pathway without additional social and academic support early in their academicplan. The project offers peer support through small group activities in online foundationalengineering courses that incorporate structured active learning sessions to enhance theengineering content [1] [2] [3]. These types of active learning scenarios have potential tostrengthen STEM competencies to increase students’ academic persistence [4] [5]. Persistence inengineering pathways is contributed to students’ acclimation and mindset to accomplish theireducational goals [6] and enter the engineering workforce [7]. This paper specifically examinesthe qualitative
Conference Session
Professional Papers
Collection
2025 ASEE Southeast Conference
Authors
Anna K. T. Howard, North Carolina State University at Raleigh; Sally J. Pardue, Tennessee Technological University
Tagged Topics
Professional Papers
easier and faster. (At NC State, the Office of Student Conduct has reduced the length of probation to encourage more faculty to report cheating – though this reduces the penalties.)But none of these bullets make the reasons to cheat go away. And many of them overloadprofessors. We can dissuade cheating a bit by raising the stakes, but it won't work in the long run.So then what? Here is our call to action.Along with the growing concern about our student’s uses of AI, the time has come to heed the callfor active learning, problem-based learning, and mindset changes. In truth, only remaking theassignments into something that students need and value will in the end stop them from copying. ●​ We need open-ended projects where every
Conference Session
Professional Papers
Collection
2025 ASEE Southeast Conference
Authors
Vivek Singhal, University of Wisconsin - Stout; Kenan Baltaci, University of Wisconsin - Stout
Tagged Topics
Professional Papers
] Furner, J. M., & Gonzalez-DeHass, A. (2011). How do students’ mastery and performance goals relate to math anxiety?. Eurasia Journal of Mathematics, Science and Technology Education, 7(4), 227-242. https://doi.org/10.12973/ejmste/75209[7] Tessier, J. T. (2012). Effect of Peer Evaluation Format on Student Engagement in a Group Project. Journal of Effective Teaching, 12(2), 15-22.[8] Chen, Y., & Lou, H. (2004). Students' perceptions of peer evaluation: An expectancy perspective. Journal of Education for Business, 79(5), 275-282. https://doi.org/10.3200/JOEB.79.5.275-282[9] Guenther, C. L., & Miller, R. L. (2011). Factors that promote student engagement. Promoting student engagement, 1, 10-17.[10] Holland, N., &
Conference Session
Professional Papers
Collection
2025 ASEE Southeast Conference
Authors
Adeel Khalid, Kennesaw State University; Sanjeev Adhikari, Kennesaw State University
Tagged Topics
Professional Papers
tools for your studies or projects? • Yes • No [If No, skip to Q7] 7. Which platform(s) do you use? [ChatGPT, Perplexity, GEMINI, CLAUDE, MS Co-Pilot, Others] 8. How frequently do you use these tools? • Daily • Weekly • Monthly • Rarely • 9. On a scale of 1 to 5, how easy is it for you to use generative AI tools? [1 = Very Easy, 5 = Not easy at all] 10. On a scale of 1 to 5, how would you rate the overall improvement in your learning experience due to generative AI tools? [1 = No improvement, 5 = Significant improvement] 11. How do you perceive the role of generative AI tools (e.g., ChatGPT) in your education
Conference Session
Student Papers
Collection
2025 ASEE Southeast Conference
Authors
Daniel Hernandez, The University of Memphis; Ariadna Mendoza, The University of Memphis; Xiaofeng Tan, The University of Memphis; Kathryn Bridson, The University of Memphis; Pegah Farshadmanesh, The University of Memphis
Tagged Topics
Student Papers
Horizon Project Sector Analysis. ERIC, 2013.[15] J. Miranda et al., "The core components of education 4.0 in higher education: Three case studies in engineering education," Computers & Electrical Engineering, vol. 93, p. 107278, 2021.[16] N. Blinn, M. Robey, H. Shanbari, and R. R. Issa, "Using augmented reality to enhance construction management educational experiences," in Proceedings 32nd CIB W078 Workshop, Eindhoven, The Netherlands, 2015, p. 8.[17] Z. H., "Using 3D Hologram to Improve Classroom, Project, and Laboratory Demonstration: A Proposal for 2017 Innovations in Teaching Using Technology Grant. ," Rowan University, College of Engineering, 2017.[18] T. Consoli, J. Désiron, and A. Cattaneo
Collection
2008 ASEE Zone 1 Conference
Authors
Paul G. Ranky
, and the EdinburghEngineering Virtual Library, UK. USA, 5 p., Vol. 3., May 2002[5] Ranky, P G, Herli Surjanhata, One-Jang Jeng, Geraldine Milano: The Design andImplementation of Digital Educational Knowledge Assets (DEKA) with SoftwareDemonstration (An NJIT and Industry Sponsored R&D Project. ASEE (AmericanSociety of Engineering Education) NJ Spring Conference, April, 2001 (eProceedings)[6] Ranky, P G, Ranky M F, Flaherty, M, Sands, S and Stratful, S: Servo PneumaticPositioning, An Interactive Multimedia Presentation on CD-ROM (650 Mbytes, 330interactive screens, 70 minutes of digital videos, animation and over 300 photos),published by CIMware (IEE and IMechE Approved Professional Developer), March1996. Multimedia design & programming
Collection
2014 ASEE Zone 1 Conference
Authors
Rasha Gaffer M. Helali
solve. The second class the used. selecting complexity is determined by the program languages, 2. Project Metrics that are used to monitor project the problem modeling methods and the software design situation and status. And identify risk. E.g.. Staff methods. Lastly, The incidental complexity is determined by number and their patterns, cost, etc… the quality of the involved implementer.[7] The most common 3. Product metrics describe the attributes of the software used complexity metrics are Halstead metrics which product at any phase of its development. [10] Metrics introduced in 1977 by
Collection
2025 Northeast Section Conference
Authors
Saddam Alkhamaiesh; Peter Cavanugh
assessments of training effectiveness and workforce demandindicates that preparing technicians for this transition requires projections are needed to refine educational strategies andtargeted training programs and collaboration between align them with industry developments [24].government agencies, educational institutions, and industrystakeholders [11]. However, existing literature highlights gaps In conclusion, the literature underscores the importance ofin understanding these training programs' effectiveness and structured and adaptive training programs for EV technicians.regional variations [12]. While the NEVI program provides a foundation for workforce
Conference Session
Faculty Development Division Technical Session 1
Collection
2022 ASEE Annual Conference & Exposition
Authors
Xiaping Li, University of Michigan; Maartje E. D. Van Den Bogaard, Iowa State University; Lea Marlor, University of Michigan; Laura Carroll, University of Michigan; Cynthia Finelli, University of Michigan
behaviors are mainly located at 3_Mechnical Use[9], [10]. At this level, instructors begin to change and are struggling with the initial steps relatedto logistical implementation and skill acquisition [10]. This work-in-progress paper aims toanswer the research question: What behaviors and experiences do instructors report in theunprecedented transition that pertain to early implementations of online active learning issuesand solutions?MethodsParticipantsThis study is part of a research project on the intervention in instructors’ adoption of activelearning, and the larger project recruited instructors who taught first- or second-year STEMcourses at 56 institutions in the US [14]. In the summer of 2020, we invited forty STEMinstructors from ten
Collection
2015 ASEE Zone 3 Conference
Authors
Todd Easton
each student’s progress on learning outcomes.Furthermore, the instructor can provide learning experiences for each student in the class. Bychanging a course from lecture based to lecture based tutoring, the student ratings of theinstructor improved by a statistically significant amount.KeywordsActive Learning, Lecture Based Tutoring, Student Ratings1. IntroductionResearchers publish numerous papers and books on techniques and methods to improve studentlearning. From improved projects [Johnson (1999), Easton and Cassone (2006)] to activelearning techniques [Silberman (1996), Myers et al. (1993), Prince (2004)], the amount ofresearch done in improving learning is extensive. The goal of active learning techniques is tohelp students master the
Collection
2015 Pacific Southwest Section Meeting
Authors
Lelli Van Den Einde; Nathan Delson; Sean Patno; Jason Hyunjin Cha; Elizabeth Cowan; Jessica Cho
581 Design of a Spatial Visualization App for Increased Student Engagement Lelli Van Den Einde, Nathan Delson, Sean Patno, Jason Hyunjin Cha, Elizabeth Cowan, and Jessica Cho University of California, San Diego, CAAbstractHand sketching of isometrics and orthographic projections is an important skill for conceptgeneration and team brainstorming. In addition, hand sketching skills increase spatial visualizationabilities, which have been correlated with increased GPAs in math and science. In an effort toteach freehand
Collection
2025 ASEE -GSW Annual Conference
Authors
Nandika D'Souza, University of Texas at Dallas; Hector R. Siller, University of North Texas; Hyun Kyoung Kyoung Ro, University of North Texas; Debbie Huffman, North Central Texas College; Mary J Combs, Quality Measures
Tagged Topics
Diversity
TexasDebbie Huffman, North Central Texas CollegeMary J Combs, Quality Measures Mary J. Combs has over 20 years of experience in higher education and healthcare working with faculty as an instructional designer to create student-focused curricula using assessment data and program evaluation. She also has experience working with community-based organizations advancing health equity through data-driven strategies and providing performance feedback to improve clinical education. Combs excels in qualitative and quantitative analysis, project management, and delivering impactful training programs. She holds a master’s degree in occupational and technical studies (business and industry training). As a Senior Evaluator at Quality