considerations are embedded and influence the technicalsolutions. Researchers have been exploring the intersection of these four approaches, intentionalinterventions, unique classroom contexts, and student outcome data to better understand howthese interventions work to support student learning in technical communication and morebroadly their sociotechnical development.The use of student perception data to better understand pedagogical interventions for technicalcommunication learning outcomes has been explored before in contexts such as freshman yearwriting courses [7], design courses [7] and laboratories [8] connecting theoretical lectures tohands-on practice. However, the context provided within this study aligns itself more withpractices and norms
intervenes and uses it as an opportunity toreiterate the educational motivation for being in the class. Students must revise their script forinstructor approval before the email is sent. Despite best efforts, it is difficult to ensure thatstudents do not prematurely approach potential need-knowers.Lesson 4: Preparing for the interview through laboratory practice. One laboratory section isdedicated to introducing and practicing interview methods that promote respectful interactions,such as the master-apprentice model for contextual inquiry, the consent to record process,reminding interviewees that they can stop the interview at any time, etc. We intersperse activitieswith reflections regarding the effectiveness and experiences of both student
limited to additional examples, practice quizzes, anddetailed homework solutions. All responses associated with Topic 1 were subsequently assignedto a theme of “problem solving”. Topic 4 referred to student concerns about sufficient TAassistance in explaining and completing laboratories and other experiential or active learningactivities; this topic was placed into a theme labelled “experiential learning.” Both Topic 2 andTopic 3 indicated students' preferences for increased interaction with TAs, including extendedoffice hours, online (Zoom) meetings, email correspondence, and other forms of question-and-answer engagement. These codes were combined under a single theme of “TA-studentinteractions”. These three themes are all an essential aspect of
Colombia, working with undergraduate and graduate students. My doctoral research focused on electronic devices for recording and stimulation of Obstructive Sleep Apnea, obtaining a Cum Laude distinction and experience in neuromodulation. I am currently a postdoctoral fellow at the University of Texas at Austin working on the development of portable focused ultrasound neurostimulation technologies in the laboratory of Dr. Huiliang Wang, an expert in optogenetics and sonogenetics.Prof. Huiliang Wang, University of Texas at Austin Huiliang (Evan) Wang is an Assistant professor at the Biomedical Engineering department at the University of Texas at Austin (UT Austin). His research is on neuro-engineering technologies
Paper ID #42406Extra Credit Analysis of Undergraduate Engineering StudentsTushar Ojha, University of New Mexico Tushar Ojha is a graduate (PhD) student in the Department of Electrical and Computer Engineering at the University of New Mexico (UNM). His work is focused on researching and developing data-driven methods for analyzing and predicting outcomes in the higher education space. He works as a Data Scientist for the Institute of Design & Innovation (IDI), UNM.Don Hush, University of New Mexico Dr. Hush has worked as a technical staff member at Sandia National Laboratories, a tenure-track professor in the ECE
anundergraduate Engineering Leadership class at Texas A&M University. This technology alreadyshows the potential to dramatically change the trajectory of careers; many fear the elimination of jobs.At the same time, others believe that GenAI will create entire new fields of employment andopportunity. Meanwhile, parallel concerns are detrimental effects on cybersecurity and privacy. Aportion of our course content covers the broad topic of data innovations, including GenAI. The lecturethat includes this topic provides connection to servant leadership. Our guiding principle is to practicemastery of this technology in ways that enhance humanity and promote transparency. A keyassignment includes prompts for associated laboratory teams to grapple with
laboratory under Professor Mircea Teodorescu. He has previously served as the president for both robotics club Slugbotics and the student organization the Sustainability Lab; now, Eliot serves as Electrical Systems Lead for FSAE team Formula Slug and as Secretary to the UC Santa Cruz Engineers Without Borders chapter. Above all, Eliot strives to solve problems and build the technical skills of himself and his peers.Mr. Qingyuan Cao, University of California, Santa Cruz Qingyuan Cao is a 3rd year Robotics Engineering undergraduate at UC Santa Cruz. He currently serves as the president of the UCSC Rocket Team, which competes in the NASA Student Launch Competition. He has participated with the experiential learning
COVID, we will elaborate more on how these commonalities wereembedded into the REM program design.Timeline of the PartnershipThere was a lot of adapting from the first pilot of the REM program in 2019 to its present form in2023 (see Figure 1). The original pilot in 2019 had only 3 REM students and 3 REM teachers. Figure 1: A timeline of the CISTAR – NSBE SEEK partnership.After the successful pilot in summer of 2019, the next year had COVID shutting down all in-person summer programs. NSBE SEEK was able to pivot to virtual programs in 2020. Withuniversity laboratories closed and having predominantly experimental research projects, it tooklonger for CISTAR to pivot and offer the program virtually. Thus, in the summer of 2020
Pennsylvania State University, Pennsylvania, 2010.[9] Chien, Yu-Hung, Chia-Yu Liu, Shaio-Chung Chan, and Yu-Shan Chang, "Engineering Design Learning for High school and College First-year Students in a STEM Battlebot Design Project," International Journal of STEM Education, vol. 10, no. 1, pp. 1-15, 2023.[10] Tenenbaum, Laura S., Margery K. Anderson, Swati B. Ramadorai, and Debra L. Yourick., "High school students' experience with near-peer mentorship and laboratory-based learning: In their own words," Journal of STEM Education: Innovations and Research, vol. 18, 2017.[11] Price, M., Kallam, M., & Love, J., "The learning styles of Native American students and implications for classroom practice," In Eighth Native American
Mexico where he became professor and Provost & EVP for academic affairs between 2011 and 2018. Since 2018, he is the Executive Vice President for Research at Georgia Tech & professor of ECE. Professor Abdallah conducts research and teaches courses in the general area of systems theory with focus on control and communications systems. His research has been funded by national funding agencies, national laboratories, and by various companies. He has also been active in designing and implementing various international graduate programs with Latin American and European countries. He was a co-founder in 1990 of the ISTEC consortium, which currently includes more than 150 universities in the US, Spain, and Latin
Paper ID #42682EmPOWERing a Sustainable Energy Future through Interconnected Curricularand Co-Curricular PedagogiesProf. Jeffrey M. Bielicki, The Ohio State University Dr. Bielicki is the Program Director and Principal Investigator of the OSU EmPOWERment Program on convergent graduate training for a sustainable energy future. He is also research lead for Sustainable Energy for the OSU Sustainability Institute and he runs the Energy Sustainability Research Laboratory where he and his students research issues in which energy and environmental systems and policy interact, specifically on topics related to carbon management
and readings, and students gain hands-onexperience in structured laboratory exercises. The laboratory exercises provide experience withmixture design and material testing that will become critical when the project begins. Thelectures include specialized content regarding the rheology of cementitious materials and thefundamentals of 3D printing as students begin to work on the project. The timeline for theexperimentation and subsequent deliverables under this project is organized as follows:(i)Experimental Mixture Development and Test Development Report Submission: Thebrief, memorandum report detailing the experimental process and test development for themortar mixture is submitted two weeks after the project is initiated. The report composes
programs that involved students in the on-going activities of the institution andacquainted them with older professionals, who could potentially serve as mentors, wereincorporated into the sequense of recommended activities [11], [17]. Since today’s collegestudents are deeply motivated by large scale problems and environmental issues [18], significanteffort was expended in helping them to select broad, diverse faculty-directed projects orientedtoward the Grand Challenges for their initial research team experiences, where possible [19]. Asrising sophomores, the RS students participated in the Louis Stokes Alliance of MinorityParticipation (LSAMP) program [20], becoming team members within an experimental laboratory,directly participating in the
Paper ID #42410Credit-Hour Analysis of Undergraduate Students Using Sequence DataTushar Ojha, University of New Mexico Tushar Ojha is a graduate (PhD) student in the Department of Electrical and Computer Engineering at the University of New Mexico (UNM). His work is focused on researching and developing data driven methods that are tailored to analyzing/predicting outcomes in the higher education space. He works as a Data Scientist for the Institute of Design & Innovation (IDI), UNM.Don Hush, University of New Mexico Dr. Hush has worked as a technical staff member at Sandia National Laboratories, a tenure-track
, in 1985, 1986 and 1989, respectively. He was with MIT Lincoln Laboratory from June 1989 to July 1994, as a member of technical staff. During the academic year 1993-94, he was a visiting lecturer at MIT and an adjunct professor at Northeastern University. From August 1994 to July 1998, he was with the ECE Dept., University of Wisconsin, Madison. He was with Boston University from August 1996 to June 2001. He is currently a Distinguished Professor with the Electrical and Computer Engineering (ECE) Department, UC San Diego. His current research interests are 3D video processing, machine learning with applications in health monitoring/analysis and 3D modelling. He is the coauthor (with Prof. Gilbert Strang) of a
assignments. There will be more data collection for future course offeringsof non-design courses including Process Control, System Dynamics and Control, EnergyConversion and Experimental Measurements Laboratory. Moreover, incremental changes in thecourse assignments, including incorporation of micro-assignments related to EML outcomes, andrevision of instructions and resources for digital communication, along with assessment tools willbe made based on student feedback and faculty input after each semester. This study along withother future studies can be carried out to focus on exploration of other EML outcomes such ascreating value.7. AcknowledgementsThis content was created through the author’s work with the Kern Entrepreneurial EngineeringNetwork
offer results of and discussion on twosurveys from the Fall 2023 course on student perceptions about networking. All this is intended toassist faculty and students as preparation for fulfillment and success in whatever they undertake, bothduring and after college.Background on Engineering Leadership CourseEnrollment in our engineering leadership course typically runs over 80 students per semester. Thecourse includes two credit hours of lecture and one for laboratory. We aspire to help students grow inskills for emotional maturation, collaboration, and team and organizational leadership. Our frameworkis the remarkable similarity of engineering and leadership skills [4]. When we appreciate the pertinentcharacteristics of people as individuals and
authority figures visiting campuses and creatingnarratives based on conversations. By the mid-20th century, as business practices that focused onquality and efficiency gained social and economic dominance in the U.S. and statistical analysisbecame the preferred methods of evaluation, these new, competition- and ranking-orientedapproaches fit with the increased enrollment in U.S. colleges and universities (Wilbers &Brankovic, 2023). Additionally, particularly in STEM education and research, a realization thatadvances in technology, science, and engineering were crucial to national Cold War effortsrequired schools to constantly be evaluated to receive federal funding for more sophisticated andexpensive laboratories (Apple, 2019; Seeley, 1999
objectives to guide my learning. 15 My instructor communicated effectively. 16 In this course, laboratory exercises contributed to my learning. 17 My instructor demonstrated positive expectations of the cadets in the class. 18 My instructor used visual images (pictures, demonstrations, models, diagrams, simulations, etc.) to enhance my learning. 19 My instructor gave me timely and accurate feedback on my learning progress. 20 In this course, the WPR's were fair and relevant. (WPR = Written Partial Review, also known as a mid-term examination) Page 22.1685.7 21
Profs. Edward Coyle and Leah Jamieson7-9. The program has grown steadily in bothsize and breadth to where it is recognized as its own academic program under the College ofEngineering. It has dedicated laboratories in the Armstrong Hall of Engineering. In the 2010-2011 academic year, almost 700 students participated on 90 projects , addressing needs rangingfrom data management for human services to creating energy efficient, sustainable home designsfor low income families and from designing learning centers for local museums to developingcustom play environments for children with disabilities. EPICS spans all engineering disciplinesat Purdue and includes students from over 60 majors across the university.Each project involves a team of eight to
Course for Engineering StudentsAbstractFor Spring 2011, a senior-level robotics course (first taught in Spring 2010) had been revisedaccording to principles for “Smart Teaching” described in the book “How Learning Works”.Homework, laboratory sessions and anchor projects had been redesigned to provide betterscaffolding for students with 2 different but complementary engineering backgrounds, and alsofor a better flow towards the theme of humanoid robotics. The e-portfolio tool EMMA wasintegrated into this course as a collaboration and feedback tool between instructor and students tohelp improve student algorithm development work, but EMMA was not found to be responsiveenough nor useful for this kind of use.IntroductionIn the Summer 2010, the
contentaccompanied the lecture links and were provided to students by way of BlackBoard® learningmanagement software. Weekly at-home assignments and quizzes also accompanied the onlinelectures. Working sessions, with associated assignments, were held weekly as well, with thesecond class session each week dedicated to reviewing solutions, solving other exampleproblems, and providing high-level perspective for the short online lectures. In the workingsessions, students were encouraged to work together using open notes, open books, opencomputer/internet, and open access to the instructor, but individual submission of results wasrequired prior to leaving the class. The three-hour, hands-on laboratory also took place eachweek but was unchanged from previous
ability to identify, formulate, and solve engineering problems 6. An understanding of professional and ethical responsibility 7. An ability to communicate effectively 8. A recognition of the need for, and an ability to engage in life-long learning 9. A knowledge of contemporary issues 10. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.Choosing and effectively implementing a Computer Engineering design course laboratorycomponent is a challenging task. In many Computer Engineering design courses, the complexityof designs and the ease of use of simulation tools have resulted in laboratory courses tendingtoward the exclusive use of small example problems, simulation and
areconsidered right and wrong—behaviors often articulated in codes of ethics. The studiesmentioned above, and others like them, use the DIT to measure groups of people organized bytheir professions (i.e. IT professionals15,16, medical laboratory professionals17, and universityhousing professionals18) or they use it to establish a baseline description of individual’s ethicalreasoning abilities in order to look for correlations with other behaviors or to help validate resultsfrom other instruments19. They do not use the DIT as a measure of moral reasoning in anengineering context.Our own preliminary research showed that generalized, non-engineering-specific ethicaldilemmas, such as those encountered in the DIT are not seen as the same types of issues
ofimportant behaviors. Recommendations include incorporating a professional spine in thecurriculum, whereby students may have an opportunity to integrate their knowledge in acontextual environment. A second recommendation outlines the need for students to makeconnections between theory and practice and to develop the thinking skills required forengineering practice. This requires an inductive, as opposed to a deductive, approach to teachingand learning.The integration of professional identity, knowledge and skills requires that students have anopportunity to experience engineering practice, through so-called approximations to practice.Often this means exposing students to laboratory or design project teaching methods (they aredifferent). A recent
researchers and served as co-PI on an NSF REU site. Research within her Medical micro-Device Engineering Research Laboratory (M.D. ERL) also inspires the development of Desktop Experiment Modules (DEMos) for use in chemical engineering classrooms or as outreach activities in area schools. Adrienne has been an active member of ASEE’s WIED, ChED, and NEE leadership teams since 2003.Beena Sukumaran, Rowan University Beena Sukumaran is Professor and Chair of the Civil and Environmental Engineering Department at Rowan University. She has been at Rowan University since 1998. She is also Director at Large for the Women in Engineering Division of ASEE.Jacqueline A. El-Sayed, Kettering University Dr. Jacqueline El-Sayed is a
director of the undergraduate program in computer engineering at MSU. She also served as interim department chair in the Department of Electrical and Computer Engineering from 2000 to 2001. She was a research staff member in the Scalable Computing Laboratory at the Ames Laboratory under a U.S-D.O.E. Postdoctoral Fellowship from 1989 to 1991. Her teaching and research has focused on the areas of embedded computer systems, reconfigurable hardware, integrated program development and performance environments for parallel and distributed systems, visualization, performance monitoring and evaluation, and engineering education. She currently serves as principal investigator for NSF STEP and S-STEM grants in the college. Dr
scanners and other mobile devices in Holtsville, N.Y. His largely experimental research is focused on parametric studies of novel lightweight composites and simulations of functionally-graded materials under load.Vikram Kapila, Polytechnic Institute of New York University VIKRAM KAPILA is an Associate Professor of Mechanical Engineering at Polytechnic Institute of NYU, Brooklyn, NY, where he directs an NSF funded Web-Enabled Mechatronics and Process Control Re- mote Laboratory, an NSF funded Research Experience for Teachers Site in Mechatronics, and an NSF funded GK-12 Fellows project. He has held visiting positions with the Air Force Research Laboratories in Dayton, OH. His research interests are in cooperative control
Accreditation Cycle. 2010, Baltimore, MD: ABET Engineering Accreditation Commission.2. Gentner, D, & Stevens, A. L. (1983) Mental Models, Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.3. references forthcoming4. Duit, R. (2009). Bibliography – Students' and Teachers' Conceptions and Science Education (STCSE), Retrieved January 17, 2011, from http://www.ipn.uni-kiel.de/aktuell/stcse/stcse5. Hestenes, D., Wells, M., & Swackhamer, G. (1992). Force concept inventory. The Physics Teacher, 30(3): 141-151.6. Thornton, R., & Sokoloff, D. (1990). Learning motion concepts using real-time, microcomputer-based laboratory tools. American Journal of Physics. 58, 858-867.7. Thornton, 19968. Thornton, R., & Sokoloff, D. (1998). Assessing
AC 2011-2605: BIOLOGY ACROSS THE CURRICULUM: PREPARINGSTUDENTS FOR A CAREER IN THE LIFE SCIENCESClaire Komives, San Jose State University Dr. Claire Komives is presently an Associate Professor in the Chemical and Materials Engineering De- partment at San Jose State University (SJSU). She has taught ten different courses, including core chem- ical engineering courses at the graduate and undergraduate levels, Biochemical Engineering lecture and laboratory courses and a bioethics general education course. She has research experience in the areas of biosensors, enzyme kinetics, cell culture, fermentation and bioprocess engineering. Among her profes- sional positions, she has spent one year as a Visiting Scientist at