AC 2012-4917: DESIGN OF A CELL PHONE-CONTROLLED BIONICROBOTDr. Richard Y. Chiou, Drexel UniversityMr. M. Eric Carr, Drexel University Eric Carr is currently the Laboratory Technician for Drexel University’s Engineering Technology pro- gram. Carr assists faculty members with the development and implementation of various engineering technology courses and enjoys finding innovative ways to use microcontrollers and other technologies to enhance Drexel’s engineering technology course offerings. Carr holds an M.S. in computer engineering from Drexel University and is an author of several recent technical papers in the field of engineering technology education
week-to-week 2. Volume: references to volume or quantity of work; whether the work was manageable, too much, notions of keeping or catching up with course pace; differences experienced week to week and across courses. 3. Course and Program Content: references to the perceived difficulty of; sequencing of material and assessments; perceived value of non-technical courses; differences between courses. 4. Transition: references to an adjustment period or changes; feelings of preparedness; differences perceived when compared to their high school experience. 5. Instruction: references to the perceived quality of instruction; instructor organization and modes of content delivery, how 'well
. Arabnia, J. B. Gutierrez, W. D. Potter, and T. R. Taha, “Making cs inclusive: An overview of efforts to expand and diversify cs education,” in 2016 International Conference on Computational Science and Computational Intelligence (CSCI), 2016, pp. 321–326. doi: 10.1109/CSCI.2016.0067 .[13] S. Morrissey, T. Koballa, R. Allen, J. Godfrey, M. Dias, S. Utley, and D. Clements, “Designing a program to develop computer science master teachers for an underserved rural area,” Journal of STEM Teacher Education, vol. 58, no. 1, p. 3, 2023. doi: 10.61403/2158- 6594.1488 .[14] K. C. Huett and C. Westine, “Using needs assessment to inform a rural school district’s efforts to expand access to computer science education: (abstract only
Paper ID #39274Evaluating Self-paced Computational Notebooks vs. Instructor-Led OnlineLectures for Introductory Computer ProgrammingMr. Timothy James, Purdue University, West Lafayette Timothy James is an instructor at the University of Pittsburgh Computer Science department, as well as a Doctor of Technology student at Purdue University. Previously, Tim has spent some time in a variety of industries including Internet consulting, finance, defense contracting, aviation maintenance, telecom- munications, capital markets, and sandwich artistry. Timothy hopes to continue actively engaging the community in technical training
internal testing phaseconsisted of five students specializing in various fields, including finance, electrical andcomputer engineering, chemical engineering, and computer science. The rationale behindselecting students from different majors was to broaden the diversity of the test group, therebygaining insights from users with varied academic backgrounds and expertise. Under the guidanceof the developers, users first familiarized themselves with the operations of the Virtual Lab.Subsequently, they conducted an experiment following the instructions of the first lab session ofthe PHYS 303 and completed the survey questionnaire. This questionnaire employed a Likert-type scale [12], renowned for its widespread use in gauging user feedback. The scale
Undergraduate Education and Diversity at the University of Connecticut. Hisresearch interests include process safety education in chemical engineering, ethical developmentand decision-making in engineering students, and game-based and game-inspired pedagogies.Marina A. Creed, Department of Neurology, University of Connecticut - Health CenterMarina A. Creed is a Neurology and Immunology Nurse Practitioner, Adjunct Instructor in theSchool of Medicine, and Director of the University of Connecticut’s Indoor Air Quality PublicHealth Initiative. Within the UConn Health Division of Neuro-Immunology and MultipleSclerosis Center, she treats people with chronic autoimmune neurological disorders and startedthe Initiative after seeing her immunosuppressed patients
William Murray, “A Take Home Laboratory to Support Teaching Electronics: Instructors Perspectives and Technical Revisions,” Journal on Teaching Engineering, Vol. 5, No. 15, 2015.[2] Massimo Ruo Roch, and Maurizio Martina, “VirtLAB: A Low-Cost Platform for Electronics Lab Experiments,” Sensors (Basel). 22(13):4840, Jun 2022.[3] Raul Onet, Marius Neag, Albert Fazakas, Paul Miresan, Gabriel Petrasuc, Iulian Sularea, Alessandro Battigelli, Michael Murray, and Martin Hill, “A Home Electronic Laboratory for Each Student - A Potential Paradigm Shift in Teaching Electronics,” 2022 International Semiconductor Conference (CAS), Poiana Brasov, Romania, 2022, pp. 141-147.[4] Abhijit Nagchaudhuri, Jesu Raj Pandya, Isaac
From the Proceedings of the 2008 meeting of the American Society of Engineering Education Session 3426 Educational Particle Image Velocimetry Interactive Experiment Suites Murat Okçay PhD and Bilgehan Uygar Öztekin PhD Interactive Flow Studies Abstract: Laboratory experience is an essential component of teaching Fluid Mechanics. Hands-on teaching methods provide a lasting understanding of the fluid flow principles. Particle Image Velocimetry (PIV) has become a very powerful technique for studying fluid mechanics. Unfortunately very high price
. NLP, “RoBERTa sentiment analysis model,” https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment, Accessed: 2024. [2] M. E. Basiri, N. Ghasem-Aghaee, and A. Naghsh-Nilchi, “Exploiting reviewers’ comment histories for sentiment analysis,” Journal of Information Science, vol. 40, pp. 313 – 328, 2014. [3] Pankaj, P. Pandey, Muskan, and N. Soni, “Sentiment analysis on customer feedback data: Amazon product reviews,” in 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), 2019, pp. 320–322. [4] S. Kim and R. Calvo, “Sentiment-oriented summarisation of peer reviews,” 2011. [5] K. Wang and X. Wan, “Sentiment analysis of peer review texts for scholarly papers,” in The
students, been an elected representative of the Graduate Student Council for 3 years and held executive positions in Pakistanis at Stanford. Mr. Suria is originally from Pakistan and grew up in Saudi Arabia. He moved to the United States to pursue his further education in 2007. In his free time, he likes to play tennis and golf, explore State and National Parks and polish his investing skills in the stock and real estate global markets.Jonathan Summers Page 26.326.1 c American Society for Engineering Education, 2015 Car Storytelling and Interaction
10 (13.89%) 9 (11.25%) 4 Discernment - Major Choice 3 (4.17%) 7 (8.75%) 5 Company Sponsored Event 8 (11.11%) 9 (11.25%) 6 Student Group (AIChE, SWE, etc) 25 (34.72%) 31 (38.75%) 7 Academic - Lecture Series, poster session, etc. 17 (23.61%) 13 (16.25%) 8 Reading a Technical Paper 1 (1.39%) 0 (0%) 99 Didn’t attend or not appropriate 2 (2.78%) 2 (2.5%) Total Events Attended by Sample Group 72 80In both years, the overall number of events in the sample groups was fairly consistent, as werethe types of
. Students design, build, flight test, and analyze model rockets through hands-on projectsthat unify different ME classes by permeating five unique areas within our undergraduatecurriculum: 1) Freshman Design, 2) Dynamics, 3) Numerical Methods, 4) Fluid Mechanics, and5) Thermodynamics. These classes will hereafter be referred to as Rocket Project (RP) classes.Students’ awareness of topical connectivity across ME divisions is being enhanced bychallenging them to work on different aspects of the same rocket project in these five coursesacross all four years of their degree program.In alignment with the purpose of the NASA Exploration Systems Mission Directorate (ESMD),the course projects develop highly-skilled engineers needed to implement NASA’s
," in ASEE Annual Conference & Exposition, 2024. doi: 10.18260/1-2--48442.[10] “The Entrepreneurial Mindset,” KEEN - Engineering Unleashed. [Online]. Available: https://engineeringunleashed.com/mindset. [11] J. A. Maxwell, Qualitative Research Design: An Interactive Approach. Thousand Oaks, CA: Sage Publications, Inc., 2012.[12] B. Downe-Wamboldt, "Content analysis: method, applications, and issues," Health Care for Women International, vol. 13, no. 3, pp. 313–321, 1992. doi: 10.1080/07399339209516006.[13] H. F. Hsieh and S. E. Shannon, "Three approaches to qualitative content analysis," Qualitative Health Research, vol. 15, no. 9, pp. 1277–1288, 2005. doi: 10.1177/1049732305276687
efficient system.As part of their contract with you they will be expecting an oral presentation of your findingswith an opportunity for questions and answers. Further, they will need a detailed report of youranalysis for their technical team to review. The technical team will also need access to your notesas validation of your analysis methods and inquiry methods.Key Assumptions: 1. Assume all tanks are operating at steady state, which is to say, the internal volume is not changing with time (think about what this means in terms of flowrates for your system). a. Are tanks are completely filled from the start. 2. Pipe areas are always constant, so water velocity is always constant (approximately) in pipes. 3. Pumps and unit
teachers Science teachers 8 7 Mean self-efficacy score 6 5 4 3 2 1 0 Technical skills Problem solving Technology Related Updating new learning technologies technologies Technological knowledgeFigure 6: Mean self-efficacy scores for the science and math teachers for
how students worked withthe set up.References [1] R. M. Siegfried, K. G. Herbert-Berger, K. Leune, and J. P. Siegfried, ‘‘Trends of commonly used programming languages in cs1 and cs2 learning,’’ in 2021 16th International Conference on Computer Science and Education (ICCSE), 2021, pp. 407–412. doi: 10.1109/ICCSE51940.2021.9569444. [2] B. A. Becker and K. Quille, ‘‘50 years of cs1 at sigcse: A review of the evolution of introductory programming education research,’’ in Proceedings of the 50th ACM Technical Symposium on Computer Science Education, ser. SIGCSE ’19, Minneapolis, MN, USA: Association for Computing Machinery, 2019, pp. 338–344, isbn: 9781450358903. doi: 10.1145/3287324.3287432. [Online]. Available
education.References [1] O. Zawacki-Richter, V. I. Mar´ın, M. Bond, and F. Gouverneur, “Systematic review of research on artificial intelligence applications in higher education–where are the educators?” International Journal of Educational Technology in Higher Education, vol. 16, no. 1, pp. 1–27, 2019. [2] E. F. Okagbue, U. P. Ezeachikulo, T. Y. Akintunde, M. B. Tsakuwa, S. N. Ilokanulo, K. M. Obiasoanya, C. E. Ilodibe, and C. A. T. Ouattara, “A comprehensive overview of artificial intelligence and machine learning in education pedagogy: 21 years (2000–2021) of research indexed in the scopus database,” Social Sciences & Humanities Open, vol. 8, no. 1, p. 100655, 2023. [3] L. Aulck and J. West, “Attrition and performance of community
. Theresearch experience concluded with students either drafting research paper of their findings (orliterature study) or delivering a final presentation to their research mentors.Research conferenceThe research conference occurred near the end of the research experience. UT Austin holds anannual, internal research conference, which brings together undergraduate researchers acrosscampus. Multiple poster sessions are organized where students present their research. Thestudents in the program were encouraged to attend the conference as a group, especially theposter sessions. Students were not required or expected to participate in the poster session sinceit would rely heavily on their ability to produce, organize, and present research for the first
impact of the program on connection, belonging, and retention in engineering.AcknowledgementsThe authors acknowledge the support of the Washington State University Provost’s Office,which provided funding for this pilot program through an internal grant to support classroomteaching and learning innovations.References[1] B. Geisinger and D. Raman, “Why they leave: understanding student attrition fromengineering majors,” International Journal Engineering Education, vol. 29, issue 4, pp. 914-925,2013.[2] E. Litzler and J. Young, “Understanding the risk of attrition in undergraduate engineering:results from the project to assess climate in engineering,” Journal Engineering Education, vol.101, issue 2, pp. 163-406, 2012.[3] R. Marra, K. Rodgers, D
beendesigned to encourage students to take advantage of computer applications and other toolsavailable in the laboratory. Although this is not a programming course, students are expected todevelop both expertise and confidence in using computers to solve technical problems.At the end of EE 302, students are expected to: Understand the relationships between current, voltage, energy, and power Be able to draw accurate schematics of DC circuits Be able to solve for specified quantities in DC linear circuits using the following techniques: Kirchhoff’s Current and Voltage Laws; voltage and current division; node voltage analysis; mesh current analysis; and superposition Be able to build a circuit on a breadboard based on a
broadly, STEM/ computing identities are strengthened by desires torepresent others who look like them (resistant capital) and figuring out processes for entranceinto STEM fields (navigational capital) [12, 40].3 | Methods3.1 | Context[Camp 1] is a free, interactive program for rising 8th and 9th graders, focusing on showcasing thebroad impact of engineering. Campers engage in daily presentations by University of Texas atAustin faculty and students, followed by hands-on activities to reinforce engineeringfundamentals. [Camp 1] has four one-week sessions during the summer, in three cities: Austin,Houston, and San Antonio. [Camp 2] is a five-day residential summer camp for current highschool juniors, offering an exploration of engineering through
Guidance for Parents of Engineering Students Unlike general parent programs, Equipando Padres narrows its focus to the field of engineering. This specialized approach recognizes the distinctive challenges associated with pursuing an engineering degree and provides parents with targeted information, resources, and skills necessary to navigate the academic and career pathways within this specific discipline. The program acknowledges the technical nature of engineering education, ensuring parents are well-equipped to guide their children through the intricacies of the field.3. Support for Parents of First-Generation College Students Equipando Padres addresses the additional challenges faced by parents whose children are the first in
on Latina student STEM identity development,” Journal of Latinos and Education, vol. 20, no. 2, pp. 177–189, Apr. 2021, doi: 10.1080/15348431.2019.1588734. 7) L. Martin-Hansen, “Examining ways to meaningfully support students in STEM,” International Journal of STEM Education, vol. 5, no. 1, p. 53, Dec. 2018, doi: 10.1186/s40594-018-0150-3. 8) H. Talafian, M. K. Moy, M. A. Woodard, and A. N. Foster, “STEM Identity Exploration through an Immersive Learning Environment,” Journal for STEM Educ Res, vol. 2, no. 2, pp. 105–127, Dec. 2019, doi: 10.1007/s41979-019-00018-7. 9) A. Singer, G. Montgomery, and S. Schmoll, “How to foster the formation of STEM identity: studying diversity in an authentic
International Computing Education Research (Virtual Event USA). ACM, New York, NY, USA.[7] Duane F Shell, Leen-Kiat Soh, Abraham E Flanigan, and Markeya S Peteranetz. 2016. Students’ initial course motivation and their achievement and retention in college CS1 courses. In Proceedings of the 47th ACM Technical Symposium on Computing Science Education - SIGCSE ’16 (Memphis, Tennessee, USA). ACM Press, New York, New York, USA.[8] B.A. Soloman and R.M. Felder. 2011. Index of learning styles questionnaire. http: //www.engr.ncsu.edu/learningstyles/ilsweb.html. Retrieved from North Carolina State University on August 4, 2011.[9] Christopher Watson and Frederick W B Li. 2014. Failure rates in introductory pro- gramming revisited. In
designed and machined by students on a Boxford miniature CNC lathe [3].For each of these assignments students work in teams of two-to-three members, and documenttheir laboratory experience and their observations upon the results obtained in formal technicalreports. The grades students receive are based on (a) the technical content of their reports,(b) the overall quality of the parts they fabricate, and (c) their individual contribution to the teamassignment, assessed through anonymous peer reviews as described in reference [4].The Evaporative-Pattern ProcessAnnually over 11 million tons of metal are cast worldwide, mainly for the automotive, aerospaceand household appliance markets5. Of these, over 8% are cast by the evaporative-patternprocess5
of parallel and series circuits. Shown in Figure 3.Assessment Assessment occurs in the form While participating in class of reflections, e.g., portfolios activities and instructional or journaling. sessions, the AR application will collect performance data on the student to evaluate their comprehension.Purpose Grades Qualitative feedback occurs The AR
Huffman, North Central Texas College Debbie Huffman, Dean of Instruction for Career & Technical Education (CTE) at North Central Texas College, holds a Master of Science in Computer Education & Cognitive Systems and a Bachelor of Applied Arts & Sciences in Applied Technology & Performance Improvement from the University of North Texas. She is dedicated to providing students the opportunity to positively change their lives through workforce education. Dean Huffman has over 25 years of experience in higher education where she has provided leadership in the planning, implementation and assessment of curriculum and programs within the CTE Division. She has served on the Texas Association of College
, Jun. 2023, p. 44085. doi: 10.18260/1-2--44085.[2] V. Suresh, R. Agasthiya, J. Ajay, A. A. Gold, and D. Chandru, “AI based automated essay grading system using NLP,” in 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), May 2023, pp. 547–552.[3] L. Furze, M. Perkins, J. Roe, and J. MacVaugh, “The AI Assessment Scale (AIAS) in action: A pilot implementation of GenAI supported assessment,” 2024, arXiv: 2403.14692.[4] R. Zhao, Y. Zhuang, D. Zou, Q. Xie, and P. L. Yu, “AI-assisted automated scoring of picture-cued writing tasks for language assessment,” Educ. Inf. Technol., vol. 28, no. 6, pp. 7031–7063.[5] X. Chen, C. Brawner, M. Ohland, and M. Orr, “A Taxonomy of Engineering Matriculation
faculty, operate assupervisors, model collaboration, and provide experiences that influence undergraduate students’academic trajectories and career outlook [2], [3], [4], [5].Unlike other forms of mentoring, graduate student mentoring often lacks guidance or formaltraining [6], [7], [8]. Despite this, however, the impact of graduate student mentoring is criticalto their mentees' future academic and career trajectories [4], [9]. Much of the research literaturehas reasoned that two main goals of effective graduate student mentoring in engineeringeducation are guiding undergraduates in technical research and laboratory techniques andproviding mentees with social support [3], [9], [10]. These goals hold true for graduate studentsand postdoctoral
professional feedback about progress Feature: One-on-one coaching throughout experienceMeeting Minutes Navigating Conference Goal: Enhance the research, teaching(Fieldnotes) Sessions and service portfolios of scholars Goal: Build and enhance scholarly communities in their fields, the college and the university Feature: Internal and external