which is described below:1. Configuration: the first stage is related to installing and configuring the application development environment. This also includes the development the Android virtual devices and creates a link with the physical devices in which the applications will be installed.2. Development: The planning and development of the Android project are now under progress. This includes source code as well as resource files of the application.3. Testing and Verification: This includes the creation of a dot APK package for the mobile application that will be running and installed on the emulator for enabling the process of debugging.4. Publishing: This is the last stage of mobile application development that is based on
study were: (1) What factors enable or hinder theadoption of ChatGPT in embedded systems design education contexts?, and (2) How canChatGPT be best implemented in embedded systems design education contexts? This researchemployed a structured intervention that integrated pre-planned activities involving ChatGPT intothe coursework, as well as allowing students to develop their own ways to use ChatGPT onassignments. Qualitative and quantitative data were collected through observations, surveys, andinterviews, allowing for a review of the tool's impact on student learning. Students were giventhe opportunity to utilize ChatGPT for assignments, provided they reflected on their choice touse ChatGPT or not. Thematic analysis of the interviews and
Educ, vol. 16, no. 4, 2017, doi: 10.1187/cbe.17-05-0085.[4] C. J. Atman et al., “Enabling engineering student success: The final report for the center for the advancement of engineering education,” Seattle, WA, 2010. [Online]. Available: http://www.engr.washington.edu/caee/caee final report 20101102.pdf[5] K. Schneider, A. Bickel, and A. Morrison-Shetlar, “Planning and implementing a comprehensive student-centered research program for first-year STEM undergraduates,” J Coll Sci Teach, vol. 44, no. 3, pp. 37–43, 2015, doi: 10.2505/4/jcst15_044_03_37.[6] T. L. Strayhorn, L. L. Long III, J. A. Kitchen, M. S. Williams, and M. E. Stenz, “Academic and social barriers to Black and Latino male collegians’ success in
showcased his skills for technical reading and writing and being able to bridge the gap between client and engineer. In his role as an Intern Engineering Inspector at CES Consulting LLC, Kevin demonstrated a strong commitment to quality assurance and control, ensuring that construction aligned with design plans and bringing errors to the attention of senior inspectors for correction. His involvement extends beyond his work and academic pursuits; His membership in the National ASME and AIAA organizations reflects his commitment to his field and his versatile interests. Additionally, he has taken on leadership responsibilities as the GMU ASME President, where he has organized informa- tional sessions and collaborated
minority and first-generation women graduate students’ success in STEM fields,” Doctoral dissertation, University of Maryland, 2018. [Online]. Available: https://www.proquest.com/docview/2186631820[25] A. Flores, “The Latina doctoral student experience: A qualitative phenomenological study,” Doctoral dissertation, Texas State University, San Marcos, TX, 2023. [Online]. Available: https://digital.library.txstate.edu/handle/10877/16501[26] R. E. Stake, The art of case study research. Thousand Oaks: Sage Publications, 1995.[27] J. W. Creswell, Educational research: planning, conducting, and evaluating quantitative and qualitative research, 4th ed. Boston: Pearson, 2012.[28] M. Q. Patton, Qualitative research and
) process gain between an input and output over theprocess gain for the same pairing when all the other inputs and outputs are perfectly regulated[8]. If the value is a fraction the system is considered amping since interactions make theprocess gain effectively larger than when the system is completely open. If the value is greaterthan one the system is crunching. The interactions due to the other controlled or closed loopsactually make the effective process gain less. The objective is to choose the pairings so that therelative gain array is closest to one where system acts as if it is decoupled e.g. no interactionsfrom the other loops. The relative gain array also helps in tuning the individual controllers causeone can plan for the interactions
identity through competence at work they working? directly, and recognition at work - Where are they working? indirectly.As we seen from the participant quotes, what they are learning is showing upat their jobs almost immediately. They work in a number of fields, from truckingto travel planning to floral delivery, and the AI concepts are helping them all.Computing identity has been augmented through interest, performance,competence and recognition, and all four constructs are on display throughinteractions at work.So what comes next?A future direction for research will be to investigate other aspects of theframework for students who work on the microsystem, mesosystem, and otherlevelsAlso better exploring the
impacted by HyFlex. The small samplesize also hinders the ability to perform more rigorous statistical analysis of the data. It is alsoworth mentioning that only a limited range of courses taught by the same instructor were eligibleto take the survey. Again, this is partially due to the small size of [institution name redacted]’sengineering program and the trend towards classes either being fully in-person or fully online.Because the survey is anonymous and does not ask students about class performance, it is alsonot possible to compare survey responses with student performance during class. Additional datacollection is planned to continue tracking trends over time and to allow for more in-depthanalysis.CONCLUSION While the utilization of
winds can cause a large sheering force between the balloon and payload, leading to adestructive failure. Much preparation is required prior to launching, and in many cases, it takespatience. In the case of our team and the unexpected delay in launching, traveling plans needed tobe adjusted. The team’s setup included a 445 MHz Yagi antenna, a Dell laptop, Dek-Tec, Lenovo i5, amonitor, power supply, an LNA amplifier, and auxiliary cords. During these attempts, all teamswere in communication with the operators via a live Excel sheet to express the functionality, orerrors of their payloads. This was important for verification before launch. Our on-site set-uprequired more involvement, making sure we get camera feed directly from our payload
In Their Own Words: How Engineering Students Adapted to Disruptive Transitions Between Online and In-Person Learning Tara Esfahani and David A. Copp Mechanical and Aerospace Engineering University of California, IrvineAbstractThe COVID-19 pandemic created an unprecedented shift in students’ learning environments thatcaused students who planned on in-person instruction to learn online instead. This changeaffected students’ learning attitudes, anxiety, and success. In this work, we present students’personal voices to better understand how sudden disruptions in education affected students overnearly two years of transitioning between
. James H. Block. New York: Holt, Rinehart and Winston, 1971.3. Keller, Fred Simmons, John Gilmour Sherman, and Carolina Martuscelli Bori. PSI, the Keller Plan Handbook: Essays on a personalized system of instruction. Menlo Park, Calif.: WA Benjamin, 1974.4. Onipede, O., and Warley, R., "Rethinking engineering exams to motivate students," 26th Annual Lilly Conference on College Teaching, Miami University, Oxford, OH, October 2007Appendix: Survey Questions1. I feel confident in taking future courses that require E MCH 211 as a pre-requisite.2. I think it is important to be able to solve problems correctly3. I feel that the grades I received in E MCH 211 with mastery exams was a fair evaluation of my understanding of that subject
. Retrieved from http://www.asee.org/resources/beyond/greenreport.cfm 4. National Academy of Engineering of the National Academies. (2004). The Engineer of 2020: Visions of Engineering in the New Century. Retrieved from http://www.nae.edu/Programs/Education/Activities10374/Engineerof2020.aspx 5. National Science Foundation, Investing in America’s Future: Strategic Plan, FY 2006–2011 (Arlington, VA: National Science Foundation). 6. Engineering Education and Practice in the United States: Foundations of our Techno-Economic Future. (1985). National Research Council: Washington, D.C. 7. Besterfield, M.E., Ragusa, G., Matherly, C., Phillips, S.R., Shuman, L.J., Howard, L. (2013). Assessing the
. Thousand Oaks: Sage.93. Koro-Ljungberg, M. & Douglas, E.P. (2008). State of Qualitative Research in Engineering Education: Meta- Analysis of JEE Articles, 2005-2006. Journal of Engineering Education, 97(2), 163-175.94. Koro-Ljungberg, M. & Douglas, E.P. (2008). State of Qualitative Research in Engineering Education: Meta- Analysis of JEE Articles, 2005-2006. Journal of Engineering Education, 97(2), 163-175.95. Anyon, J. (2009). Theory and Educational Research: Toward Critical Social Explanation. New York: Routledge.96. E.g., Creswell, J., W. (2007). Educational Research: Planning, Conducting and Evaluating Quantitative and Qualitative Research (3rd Edition.). Upper Saddle River, NJ: Prentice Hall.97. Charmaz, K. (2006
firstly will beinhosted. hosted Broun Hall 352 and now in Broun Hall 314. Page 24.947.7Based on this test and feedback from the students, we will revisit and update the lab experiments in the summer.Some fundamental questions to be answered are, are these labs suitable for senior students? What are theprerequisites? Does our current curriculum cover the sufficient background? We also plan to find ways toincorporate our research outcomes on SDR and CR with the lab, to show students how to leverage and
. L. Waight, K. S. Zerda, and T. Sha. 2008. The relations of ethnicity to female engineering students’ educational experiences and college and career plans in an ethnically diverse learning environment. Journal of Engineering Education 97 (4): 449-465.14. Hoh, Y. K. 2008. Presenting female role models in civil engineering: An outreach activity to help teachers overcome their misperceptions of engineers. International Journal of Engineering Education 24 (4): 817- 824.15. Jain, R., B. Shanahan, and C. Roe. 2009. Broadening the appeal of engineering - Addressing factors contributing to low appeal and high attrition. International Journal of Engineering Education 25 (3): 405- 418.16. Bronzini, M. S., J. M
(1): p. 1-16.5. National Academy of Engineering, Grand Challenges for Engineering, G.C.f.E. Committee, Editor. 2008, National Academy of Sciences on behalf of the National Academy of Engineering. p. 54.6. Rittel, H. and M. Webber, Dilemmas in a general theory of planning. Policy Sciences, 1973. 4(2): p. 155-169.7. Boyer, E., Scholarship Reconsidered: Priorities of the Professoriate. 1990, Carnegie Foundation for the Advancement of Teaching: Princeton, NJ. p. 151.8. Yin, R., Case Study Research: Design and Methods 2009, Thousand Oaks, CA: Sage Publications.9. Godin, B. and C. Doré, Measuring the impacts of science: Beyond the economic dimension. History and Sociology of S&T Statistics, 2004.10. United
the time. Each student is also able touse as many robots as he wishes without running into cost limits as would happen with thephysical robots.Integration into the classroom is planned in a few different ways to help complement thehands-on robots. Introducing new topics to students and demonstrating how to use therobots for the new topic can be completed more easily through the simulation on theteacher’s computer. As students are developing new code to run their robots, thesimulation provides the platform to quickly alter the code before running on the hardware.When students are at home without robots, the simulation is being used to have homeworkassignments which integrate the robot lessons.Initial data was collected from students who have
” experience. Choices that do not serve this purpose should be rejected in favor of projectsthat actually do enhance the realistic nature of the project. Some of the engineering sub-disciplines that need to be exercised include, but are not necessarily limited to, the following,shown in Figure 1 below: Page 24.1083.4 Product Planning Design Product Engineering (Analysis) Manufacturing (Production) Cost analysis Figure 1: Cross-functional approach required for student
coherent theme and progression from simple imaging casestudies to more sophisticated, state-of-the-art techniques. Our plans for solar imagingmodules include the following topical descriptions of each module: 1. Microstructure of Polycrystalline Silicon Wafers. Images of solar cells directly show the microstructure, particularly grain boundaries. Unlike metals, silicon reveals its grain structure without the need for any sample preparation. Students can apply many of algorithms (including ASTM protocols) used to parameterize microstructure from images. ASTM procedures using lineal and areal analysis, and similar methods, to determine grain size distributions and grain symmetry (e.g., equi-axed or elongated) will be
financing with an NGO in India; the use of cell phones for creating a more efficient process in maintaining immunization records for developing countries; and developing a foot measurement system with jaipur foot. He is also working on a new methodology for easier learning of 3D modeling applications for design students. He divides his time between the United States and India.He obtained his BArch from the School of Planning and Architecture in New Delhi and his Master of Science in Design from Arizona State University. Professor Sharma is Chair of the IDSA Design for the Majority Professional Interest Section. He has been involved in doing research on Design for the Bottom of the Pyramid and leads the Industrial Design
already know how to do. Engineers andprofessionals of all fields routinely tackle problems to which they do not have ready solutions,yet the educational experience of most American students typically involves a smoothly paved,pre-planned route to the “correct answer.” Perhaps the most valuable aspect of this form oflearning is that it is something unknown that must be mastered. Making video is not terriblydifficult to learn to do at a basic level, but it requires practice and persistence. Persistence in theface of adversity is a valuable attribute, but one that may be lacking among today’s collegestudents depending on levels of maturity and intellectual development.Perhaps this is a factor that partially explains some of the observed differences
calls for alternative doctoralpedagogies for students planning to succeed in industry.It is difficult to directly compare the results of this study with numerical results shown in similarstudies. We are particularly interested with comparing our numerical findings through thissurvey with numerical findings about the most important skills for Ph.D.-holding engineeringgraduates in academia and industry. However, most studies look particularly at the experiencesand employer expectations of baccalaureate-level engineers entering the field. For example,Lang et al. (2009) conducted a survey of engineers in industry regarding the necessary attributesfor entry-level (baccalaureate) engineers using a survey instrument asking participants about
with opportunities for peer instruction, individual and group problem-solving exercises, and discussion and consideration of experimental demonstrations. During the exercises the instructor would circulate through the lecture hall with approximately 100 students. After a period of time for these exercises the instructor would review or present a solution to the problem in collaboration with the students using a tablet PC. The in-class time was also used to discuss additional applications and current areas of related research. Approximately one-third to one-half of the class was spent with the instructor speaking at the front, but the presentation was not based on pre-planned notes, but rather
used clickers in nearly every classfor the last 10 years. Three semesters ago there was the opportunity to move a class into acomputer lab. Coincidentally, this was the first semester that the instructor decided to relyprincipally on online homework after a trial run of online homework had been veryenthusiastically received the previous semester. Thus this class had quick feedback in class fromclickers. Students were able to see if their work matched the instructor’s for spreadsheets, andthen for homework, students received instant feedback, suggestions, links to text sections, andmultiple tries to get it right.The results were so good, that a talk on the “Best Teaching Experience of my 35-year Career”was planned. Two subsequent semesters have
misconceptions when applying the concept in practice.The research concluded with specific differences between several types of active learning:collaborative, cooperative, problem-based, project-based, and team-based learning.Future research is planned to measure the impact of team-based learning in the promotionof creative thinking in engineering education. The experiment will have a control group in a Page 24.1175.9traditional lecture-type setting and an experimental group in a team-based learning settingto identify if TBL has an impact on creative thinking, a desired skill in future engineers.AcknowledgementThis material is based upon work supported by the
on project management. Orientation Service-learning. Capstone Business, Several. Some Human services, Engineering products and are specifically access and Design focus services. “work for business abilities, including business like companies.” (business education and and industrial planning and outreach, the design issues. venture analysis), environment. Focus on some focus on
mistakes or fill in any gaps fromthe review.Quality control is a critical for the success of this assignment. Many teams were found toprocrastinate to the detriment of their review when they did not leave time for adequateinstructor feedback. Procrastination also led to some teams spending lots of time just beforepresenting to develop a problem, only to learn that their problem was incorrect. In the future it issuggested that the team meet with the instructor two weeks prior to the review and be required toturn in a short report stating what they are planning to do, who will be doing what, and when thegroup will be meeting. It would also be useful for the instructor to meet with the team in the lastminutes of class roughly a week before the
questions included: [1.] Which instructional scaffolds andtechnological affordances do students perceive as helpful when collaborating through onlinetools? [2.] How do student perceptions differ from the instructor’s perceptions? The plan is to tell a story in its natural setting; to explore what transpired over twosemesters of research involving a single engineering materials course in which multiple onlinecollaborative tools were employed, and one in which the engineering professor welcomed theresearch team into the learning environment.Context, Participants and Collaborative Tools This study took place at a large university in the American Midwest and involved a totalof 144 student participants from an undergraduate mechanical
and research opportunities. The plans for Page 24.1222.2the final year of the project will be discussed.The National Science Foundation is supporting the project (NSF CCLI/TUES #0941012).IntroductionThe iCollaborate Materials Science and Engineering (MSE) project is a multiyear,multifaceted research project designed to understand how student learning outcomes,student engagement, and successful course completion rates in introductory MSEcourses are affected by a variety of programs and activities that are based upon bestpractices from STEM education research. A number of interventions and activetechniques were used in the classroom, at first
to directly assess theimpact of the advising relationship on various measures of student success. Our future plansinclude the analysis of the larger survey to better understand returners’ decisions to pursue aPhD, the unique challenges they face, and coping strategies they utilize and how these compareto those of direct pathway students. We also conducted in-depth interviews with 53 returning anddirect pathway students from across the country and plan to analyze that data for a betterunderstanding of the development of students’ research and how their past experiences influencetheir PhD work. Finally, we will conduct focus groups with various stakeholders in industry,government, and academia, including faculty advisors, to better understand