given over 70 invited presentations - 13 plenary - at international and national forums, conferences and corporations. Since 1994, he has directed an extensive engineering mentoring-research academic success and professional development (ASAP) program that has served over 500 students. These efforts have been supported by NSF STEP, S-STEM, and CSEM grants as well as industry. Dr. Rodriguez’ research inter- ests include: control of nonlinear distributed parameter, and sampled-data systems; modeling, simulation, animation, and real-time control (MoSART) of Flexible Autonomous Machines operating in an uncertain Environment (FAME); design and control of micro-air vehicles (MAVs), control of bio-economic systems
24.683.3education in general, include Classroom Presenter5,6 and Classroom Learning Partner7, and forengineering education specifically, include Newton‟s Pen4 (a statics tutor), Kirchhoff‟s Pen8 (atool that teaches students to apply Kirchhoff‟s voltage and current law), and STRAT9 – forstudents to learn standard truss analysis.4. Learning by exploration with pen-and-tablet computersThe affordances provided by the new pen-and-touch-based tablets, by enabling quick andintuitive synthesis and analysis, would trigger new mechanisms of learning by such criticalexploration and problem-based learning10, 11. Firstly, we plan to explore the new situated learningmechanisms at the interface of design and analysis. Secondly we hypothesize that the nature ofquestions
-1106529, Research Experience for Teachers in Manufacturing forCompetitiveness in the United States (RETainUS). Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.Bibliography1. Chang V., Burr B., and Holtzapple, M. T. (1997). Lime pretreatment of switchgrass. Applied Biochemistry and Biotechnology, 63–65, 3–19.2. Chang V., Nagwani M., Holtzapple M. T. (1998). Lime pretreatment of crop residues bagasse and wheat straw. Applied Biochemistry and Biotechnology, 74, 135–159.3. Cheng, Y.-S., Zheng, Y., Yu, C. W., Dooley, T. M., Jenkins, B. M., & VanderGheynst, J. S. (2010). Evaluation of
Historically BlackUniversity), all three being part of the Texas A&M system. TAMU, the lead university in thepartnership, offers undergraduate and graduate degrees in nuclear engineering and is one of thelargest nuclear engineering departments in U.S3. TAMU has offered courses to PVAMUthrough the Trans-Texas Videoconference Network (TTVN) system. This has allowed thePVAMU program to grow as the requirement to develop courses is reduced and students canenroll in the courses offered by TAMU through TTVN. The program s primarily designed to develop efficient manpower for the nuclear energyindustry from the under representative groups. In the same contrast, this program is expected tooffer introductory courses in the areas of radiation biology
coordinates ISUˆa C™s reDr. Amy Kaleita, Iowa State University Amy L. Kaleita is Professor and Chair of Agricultural and Biosystems Engineering at Iowa State University, and a licensed professional engineer. She has a B.S. in Agricultural Engineering from Penn State University, an M.S. in Civil and Environmental Engineering and Ph.D. in Agricultural Engineering from the University of Illinois.Prof. Sergio Horacio Lence Professor of EconomicsCynthia Lidtke, Iowa State UniversityCameron Alexander MacKenzie, Iowa State UniversityDr. Michelle Lynn Soupir, Iowa State University Dr. Soupir’s research focuses on soil and water quality, nonpoint source pollution control, watershed management, and water quality monitoring. She uses
. Walker, "Impacts of a Summer Bridge Program in Engineering on Student Retention and Graduation," Journal of STEM Education, vol. 19, no. 2, 2018.[4] D. Wood, A. Gura, and J. Brockman, "Critical Findings in the Development of the Community- Engaged Educational Ecosystem," in American Society for Engineering Education proceedings: ASEE, 2020.[5] D. Wood, A. Gura, J. Brockman, A. Rayna Carolan-Silva, S. Boukdad, and J. C. Alarcon, "Informing Replication of the Bowman Creek Educational Ecosystem Pilot," in American Society for Engineering Education proceedings, A. Genau Ed.: ASEE, 2019.[6] D. Wood, A. Gura, J. Brockman, and S. Alptekin, "Student Outcomes in Academic Community Engaged STEM projects with
views of the National ScienceFoundation. References[1] S. M. Lord et al., “MIDFIELD: A Resource for Longitudinal Student Record Research,” IEEE Trans. Educ., vol. 65, no. 3, pp. 245–256, Aug. 2022, doi: 10.1109/TE.2021.3137086.[2] G. L. Heileman, C. T. Abdallah, A. Slim, and M. Hickman, “Curricular Analytics: A Framework for Quantifying the Impact of Curricular Reforms and Pedagogical Innovations,” ArXiv181109676 Phys., Nov. 2018, Accessed: Aug. 04, 2021. [Online]. Available: http://arxiv.org/abs/1811.09676[3] R. Layton, R. Long, M. Ohland, M. Orr, and S. Lord, “midfielddata: MIDFIELD data sample.” 2022. [Online]. Available: https://midfieldr.github.io
include the EnvE discipline itself (cross-disciplinary but faculty largely embedded indepartments where their work is at the edge); challenges of race, ethnicity, gender (e.g.,Misogynoir [40]); parenting (e.g., [41], [42]); and those who engage in CER. In this time whenDEI activities are under particular scrutiny and attacks, the work is especially critical.AcknowledgementsThe authors thank the following individuals for their contributions to our ADVANCE project:Gabriela Chavira, David Sul, and Lilia Abron. This material is based upon work supported bythe National Science Foundation under Award No. 2204550, 2204099, 2204552, and 2245181.Any opinions, findings and conclusions or recommendations expressed in this material are thoseof the author(s
Learning Exchange and Networkby a national committee, made up of experts in the field. Due to the nomination, theCREATE Center is requesting that your college complete the following application, forthe most qualified and experienced college representative(s) to apply for thisopportunity. Nominations do not guarantee selection so it is important that you readthrough the application carefully, filling out all applicable sections, and compiling theentire application with ALL required documents and signatures. Please note there will beno substitutions for the nominee and program if the dates are not suitable or if anemergency precludes your college representative from participating in the RenewableEnergy Network. Deadline for Submission: By
Distribution of Themes in RICHES Stage 1 Research Theme Frequency Example Quote (type of (%) (from interviews) pedagogical practice) College Attending 72 (40.9) “At our campus, we have career counselors that Support double as transfer counselors. They provide financial aid information and other information for students. They are not content specific.” Program Planning & 53 (30.1) “The STEM advisors stick with our s STEM Execution Support Academy students from the day they arrive until
equationsof the form P(D)y(t) = Q(D)x(t), for derivative operations P(D) and Q(D) and functions x(t) andy(t) by looking at the equation in a different light. The transform reframes the equation as analgebraic equation in a new variable s by which the solution is easily obtained; in fact, for acompletely relaxed system (no initial conditions), the transform almost appears to amount to aninnocent change of variables. The new world of frequency is not trivial; in fact, the concept of "frequency response" is a difficulty when teaching circuits and controls. Two prominent methods of visualizing the frequency response exist, Bode Plots and Nyquist
information and other information for students. They are not content specific.”Program Planning & 53 (30.1) “The STEM advisors stick with our s STEMExecution Support Academy students from the day they arrive until they transfer. They have rapport and relationships with the students. It really helps.”College & Program 51 (29) “We have a host of developmental courses. ThePerformance Support kids need them but they complain about not getting credit for them. Especially when they have to pay
double as transfer counselors. They provide financial aid information and other information for students. They are not content specific.”Program Planning & 53 (30.1) “The STEM advisors stick with our s STEMExecution Support Academy students from the day they arrive until they transfer. They have rapport and
dataanalyses across themes are summarized in Table 1 by frequency distribution.Table 1 Frequency Distribution of Themes in RICHES Stage 1 Research Theme Frequency Example Quote (type of (%) (from interviews) pedagogical practice) College Attending 72 (40.9) “At our campus, we have career counselors that Support double as transfer counselors. They provide financial aid information and other information for students. They are not content specific.” Program Planning & 53 (30.1) “The STEM advisors stick with our s STEM Execution Support
. Cook received her doctorate in Social and Personality Psychology from the University of Washington, with a minor in quantitative methods and emphases in cognitive and educational psychology. Her research has included classroom learning, identity, and person perception.Dr. Gregory Mason P.E., Seattle University Gregory S. Mason received the B.S.M.E. degree from Gonzaga University in 1983, the M.S.M.E. de- gree in manufacturing automation from Georgia Institute of Technology in 1984 and the Ph.D. degree in mechanical engineering, specializing in multi-rate digital controls, from the University of Washington in 1992. He worked in a robotics lab for the Department of Defense for five years after receiving his
impact of the JTFD project is best summed up in the response to thewrap up summary where 100% of faculty agreed or strongly agreed with the statement that, “Thetools, strategies, and interaction I experienced throughout the JTFD project will be of value to myfuture instructional practice and career success.”AcknowledgmentThe authors gratefully acknowledge support of this work by the National Science Foundation un-der Grant No. 1524527.References[1] Freeman, S., Eddy, S. L., McDonough, M., Michelle, K., Smith, B., Okoroafor, N., Jordt, H., and Wen- deroth, M. P., (2014). Active learning increases student performance in science, engineering, and mathematics, PNAS, 111, 23-30.[2] Hake, R. R. (1998). Interactive-engagement versus
, October 2017. She and her co-authors also received the AIST Josef S. Kapitan Award in 2005, 2016, and 2017, the AIST Computer Applications Best Paper award in 2006 and 2017, the 2017 AIST Hunt-Kelly Outstanding Paper Award – First Place, and the 2014 International Thermoelectric Society Outstanding Poster Award, She was named ”One of 12 Most Influential over 50” by Northwest Indiana Business Quar- terly Magazine in 2014. Dr. Zhou received the awards of Outstanding Faculty in Teaching, Research, and Engagement at Purdue University Northwest. Dr. Zhou has been a Fellow of the American Society of Mechanical Engineers since 2003. Dr. Zhou has been very active in professional societies. She has served as the chair of the
developed based on the grant objectives and specificactivities. Additionally, all practicing teacher participants completed Horizon, Inc.’s LocalSystemic Change (LSC) survey during the first week of the program and in December of 2015.32The LSC teacher questionnaire tracks systemic change in teachers’ attitudes and perceptionsregarding their mathematics and/or science content preparedness, pedagogical preparedness,classroom practices, and principal support for math and science teaching. For the cohort,changes in the attitudes towards teaching were significantly higher at the 0.01 level. Mathteacher participants completed the Mathematics Teaching Efficacy and Belief Instrument orMTEBI.33 Science teacher participants completed the Science Teaching
appropriate to its solution; (2) design, implement, and evaluate a computer-basedsystem or program to meet desired needs; and (3) develop software system(s) within teams.4.3.2 EFFECT Learning Objectives and OutcomesIn the context of improving lane departure guidance systems, students will learn aboutrequirements for the sensing system on driverless vehicles (e.g., drones) and the embeddedvehicle control system (e.g., drone controller). Through hands-on experimentation, students willdevelop an understanding of the necessary specifications for the sensors and vehicle controlsystem to ensure that driverless vehicles can safely navigate complex topologies and physicalenvironments. Specifically, students were required to inquire and study the
Department at Seattle University. Dr. Cook received her doctorate in Social and Personality Psychology from the University of Washington, with a minor in quantitative methods and emphases in cognitive and educational psychology. Her research has included classroom learning, person perception, health perceptions, and jury decision making.Dr. Gregory Mason P.E., Seattle University Gregory S. Mason was born and raised in Spokane Washington. He received the B.S.M.E. degree from Gonzaga University in 1983, the M.S.M.E. degree in manufacturing automation from Georgia Institute of Technology in 1984 and the Ph.D. degree in mechanical engineering, specializing in multi-rate digital controls, from the University of Washington in
development programs and active learning in higher education.AcknowledgmentsThe authors of this paper gratefully acknowledge the support of the National Science Foundationfor this project under Grant No. JTFDXXX. References [1] Felder, R. M., & Brent. R. (2016). Teaching & learning STEM: A practical guide. San Francisco, CA: Jossey-Bass. [2] Felder, R. M., & Brent, R. (1996). Navigating the bumpy road to student-centered instruction. College teaching, 44(2), 43-47. [3] Jungst, S., Likclider, L. L., & Wiersema, J. (2003). Providing Support for Faculty Who Wish to Shift to a Learning-Centered Paradigm in Their Higher Education Classrooms. The Journal of Scholarship
motivation to keep building and sharing.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1129342. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References 1. Bureau of Labor Statistics, US Department of Labor. (2006). Occupational Outlook Handbook, 2010-11 Edition, Bulletin 2800. Washington DC: U.S. Government Printing Office. Page 24.746.13 2. National Science Foundation. (2006). Science and Engineering Degrees: 1966–2004
work supported by the National Science Foundation under Grant No.NSF DUE –1044790, a TUES Type 1 project. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.7. References[1] National Academy of Sciences (2003). Beyond Productivity: Information Technology, Innovation and Creativity, NAS Press, Washington, DC (2003).[2] Bransford, J. (2007). Preparing People for Rapidly Changing Environments. Journal of Engineering Education, 96(1):1-5.[3] Schwartz, D. L., Bransford, J. D., & Sears, D. (2005). Efficiency and Innovation in Transfer. In J. Mestre (Ed.), Transfer of Learning from a Modern
extend this alliance to both inside and outside the CSUsystem. In addition, we are sharing all the curriculum and research with the wider community ofCS educators.ResultsEvaluation plan Our evaluation team includes a member dedicated to evaluating the alliance andstudent related outcomes (Objectives 1, 2 and 4) led by Dr. Hubbard Cheuoua and a memberdedicated to understanding the outcomes related to the faculty learning community (Objective 3),led by Dr. Hug.Evaluation of Objectives 1, 2 and 4: Led by Dr. Hubbard Cheuoua, the evaluation has focusedon gathering formative and summative feedback on the alliance (Objective 4) and impact onstudents (Objectives 1 and 2). Using [31]’s methodology, a set of indicators for early-stagecollective impact
al.’s researcher identity scales, which aim to measure the sameconstructs as in the current research, originally contained 26 total items, but were reduced 16total items following the factor analyses of these scales and those of the related identities(scientist and engineering). One unique advantage of Perkin et al.’s approach is that many of theitems provided a more detailed reflection on the specific context of doctoral education. Forexample, the dissertation advisor is proposed as a critical external source of recognition and thusthe following item was added: “My advisor(s) see me as a RESEARCHER.”2 Similarly, thecompetence scale in Perkins et al. work focuses more on specific competencies associated withresearch, such as delivering
Wireless Sensor Networks," in 2022 ASEE-North Central Section Conference, 2022. [Online]. Available: https://peer.asee.org/39261. [Online]. Available: https://peer.asee.org/39261[16] J. Austin et al., "The BBC micro: bit: From the UK to the world," Communications of the ACM, vol. 63, no. 3, pp. 62-69, 2020, doi: 10.1145/3368856[17] J. Yu, S. Hsi, S. Van Doren, and H. Oh, "My:Talkies: Designing a craft kit to support learning about communication devices through making," Interaction Design and Children, pp. 442-447, 2022, doi: 10.1145/3501712.3529720.[18] A. Maltese, D. Oyler, and K. Paul, "Design with Code Club: An attempt to get kids learning to code while designing solutions to everyday problems (Work in
thismaterial are those of the author(s) and do not necessarily reflect the views of NSF. We appreciateall faculty and student focus group and interview participants who helped us understand theirexperiences managing and engaging in IRES programs around the world.References[1] K. Davis, Y. Jalali, V. Lohani, D. Knight, and R. Müller, “Student learning in international research programs: A comparison across cultural contexts,” presented at the ASEE Annual Conference proceedings, 2018.[2] K. A. Davis and D. B. Knight, “Becoming a researcher: A narrative analysis of US students’ experiences in Australia,” presented at the Proceedings of the 8th Research in Engineering Education Symposium, 2019.[3] L. M. Hatfield, C. T. Amelink, N. P. Sanderlin
semesters. A subset of twenty-two items is identified. Subsequently, a two-factor structure comprising of 13 items is proposed.IntroductionA classroom has two major components: Physical (building, blackboard, overhead projector,lighting, seating, IT infrastructure, etc.) and Human component (students and instructor(s)) [1],[2]. While physical aspect of a classroom is static, more or less, the human component isdynamic and evolving. This component creates a multidimensional dynamic environmentcomprising of social and psychological interactions between student-to-student and student-to-instructor. "The dynamics of the classroom, the tone, the interpersonal forces at play, and thenature and structure of communication patterns all combine to either