of 5466 articles that discussed “uncertainty” or “error” [8]. This view of error as“unimportant” has deep roots; Salsburg [9] describes a common practice in the 1800’s, One way was to keep the precise mathematical formulas and treat the deviations between the observed values and the predicted values as small, unimportant error. [12, p. 15]Thus, it is common in mathematics to view error as negligible and unimportant. In contrast,statistics as a field of study takes variability as the core object of study [6]. Wild and Pfannkucharticulate the orientation of statisticians towards understanding variability, Statisticians look for sources of variability by looking for patterns and relationships between variables
beforestarting the modeling activity. As mentioned earlier, there is also a tendency for some students to lockinto modeling skills they learn earlier in a course which might bias those students who have fallen behindtowards overusing the sketching tool. As an assignment neither solution would be wrong unless theinstructor gave guidance that would influence use of one over the other e.g. using the simplest sketchespossible favoring Designer 3’s solution or using the fewest features possible favoring Designer 2'ssolution. However, there is value to developing within engineers the skill of planning as opposed tojumping into in a problem without much forethought. Understanding of how these tendencies might playout in a modeling assignment can help
]. Available: https://www.abet.org/wp- content/uploads/2021/09/Guidance-on-Materials-07-12-21.pdf. [Accessed 19 October 2023].[8] W. Hussain, W. Spady, M. T. Naqash, S. Z. Khan, B. A. Khawaja and L. Conner, "ABET Accreditation During and After COVID19 - Navigating the Digital Age," IEEE Access, vol. 8, pp. 218997-219046, 2020.[9] M. G. Green and C. L. File, "PreparingforanOnlineABETVisit," in 2021 ASEE Gulf- Southwest Annual Conference , Waco, TX , 2021.[10] I. Drago, M. Mellia, M. M. Munafo, A. Sperotto, R. Sadre and A. Pras, "Inside dropbox: understanding personal cloud storage services," in IMC '12: Proceedings of the 2012 Internet Measurement Conference, New York, NY, 2012.
sexual identity—intersect with STEM-related areas of inquiry. Using a variety of interdisciplinary perspectives, WGS 250 investigates how STEM fields both shape and are shaped by ideas and assumptions about gender and identity. Topics include feminist critiques of science, intersections of gender with technology design/use, gender and the built environment, and links between gender and “doing” STEM. Learning Outcomes: ● Demonstrate an understanding of core critical concepts in the field(s) of feminist STEM studies, particularly critiques of objectivity, neutrality, and evidence. ● Identify and articulate the mutually constitutive intersections of social categories
tools and concepts. Theexpectation was that the students would be more honest in their assessment of their learning thanin the final reflections where there may have been a tendency to tell the instructor what theywant to hear.The student Self Evaluations and interviews were coded using Saldana’s [33] structural codingapproach, a first cycle coding method with a focus on particular topics relevant to the researchquestions. In this case, Kendall et al.’s [3] definition of engineering leadership provides aframework to evaluate the evidence of the development of engineering leadership competenciesin the course: Engineering Leaders (a) employ the full range of engineering skills and knowledge in the design of socio-technical innovations
, pp. 109-119, 2004.[5] A. J. Nicholas, "Preferred learning methods of generation Z," 2020.[6] K. Moore and R. S. Frazier, "Engineering education for generation Z," American Journal of Engineering Education (AJEE), vol. 8, no. 2, pp. 111-126, 2017.
institutionalizing changes in engineering education. The obstacles thatare concerns across multiple frames might be prioritized in current or future change projectsbecause of their wide-ranging impact. Change agents should employ change models andprocesses that will allow them to consider these obstacles within the context of their projects andinstitutions and identify a response to these challenges.AcknowledgementThe authors would like to thank the RED teams for their participation in the RED community ofpractice. This work is based upon work supported by the National Science Foundation underGrant No.’s 2317318 and 2317319. Any opinions, findings, and conclusions or recommendationsexpressed in the material are those of the authors and do not necessarily
(CEED) at Virginia Techfor providing us with the opportunity to host a workshop for incoming students during theirsummer bridge program. This material is based upon work supported by the National ScienceFoundation under Grant No. 1943811. 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.References[1] American Society for Engineering Education, “Profiles of Engineering and Engineering Technology, 2022,” American Society for Engineering Education, Washington, D.C., 2023. Accessed: Mar. 27, 2024. [Online]. Available: https://ira.asee.org/wp-content/uploads/2024/03/Engineering-and-Engineering-Technology
with research. 4. A dedicated staff member whose job is to be a student liaison and plan/coordinate and facilitate REU events is a critical addition to the leadership team.Acknowledgements: This material is based upon work supported by the National Science Foundationunder Grant 2149667. 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 National ScienceFoundation.References[1] National Academies of Sciences Engineering and Medicine, Advanced Technologies for Gas Turbines.Washington, DC: The National Academies Press, 2020.[2] National Academies of Sciences Engineering and Medicine, Commercial Aircraft Propulsion andEnergy Systems
challenges.Examples of these challenges include integrating FPGAs with sensors to achieve intelligenthome energy management or optimizing air conditioners for precise temperature control. Theoverarching goal was to explore a range of science and math concepts, such as binary arithmetic,Boolean logic, combinational circuits, finite state machines, and memory read-and-writeprocesses. Additionally, students had the opportunity to engage with guest speakers who areexperts and role models in the field of computer hardware engineering.Measures and data sourcesBefore and after the seminar, students completed Romine et al.'s [15] Student Interest inTechnology and Science (SITS) survey. The SITS instrument assesses individual interest inscience and technology
partial when teachers eitherdidn’t get to the end of the challenge or did not implement major elements of the challenge (e.g.,not having students do presentations at the end of the challenge).Figure 1. STEM-ID Implementation by Grade Level Challenge and Teacher 6th Grade 7th Grade 8th Grade Systems Cell and System Visualizat Desig Syste Visualizat Desig Phone Investigati DesigTeachers Data s ion n Data ms ion n Design on n123
the First Year of College,Psychology Press, 2005, pp. 36–56. [Online]. Available:http://dx.doi.org/10.4324/9781410611864-7[2] C. A. Malgwi, M. A. Howe, and P. A. Burnaby, “Influences on Students’ Choice of CollegeMajor,” Journal of Education for Business, vol. 80, no. 5, pp. 275–282, May 2005, doi:10.3200/joeb.80.5.275-282.[3] D. Ghosh, S. Harford, H. Darabi, and J. Amos, “Board 315: Improving Students’ Decision-Making Behavior in Choosing an Engineering Pathway,” in ASEE Annual Conference andExposition, Conference Proceedings, Baltimore, United States, Jun. 2023.[4] “Audio transcription for cloud recordings,” Zoom Support, Nov. 20, 2023.https://support.zoom.com/hc/en/article?id=zm_kb&sysparm_article=KB0064927[5] M. E. Kiger and L. Varpio
first-year electrical engineering course," in IEEE 6th International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Hong Kong, China, 2017.[3] G. Messmer and K. Berkling, "Overcoming the Gap of Social Presence in Online Learning Communities at University," in World Engineering Education Forum/Global Engineering Deans Council (WEEF/GEDC), Madrid, Spain, 2021.[4] J. Banson and C. D. Hardin, "Assessing Student Participation and Engagement Using Discord," in 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), Los Alamitos, CA, USA, 2022.[5] A. M. Wiles and S. L. Simmons, "Establishment of an engaged and active learning community in the biology classroom and lab with
-short-history-of-chatgpt-how-we-got-to-where-we-are-today/?sh=611eb528674f. [AccessedMarch 16, 2024]..[8] OpenAI, “ChatGPT can now browse the internet to provide you with current andauthoritative information, complete with direct links to sources. It is no longer limited to databefore September 2021.” [Online]. Available: Twitter,https://twitter.com/OpenAI/status/1707077710047216095?s=20. [Accessed March 16, 2024].[9] A. Kelly, M. Sullivan, & K. Strampel, “Generative artificial intelligence: University studentawareness, experience, and confidence in use across disciplines”, Journal of University Teaching& Learning Practice, vol. 20, no. 6, article 12, 2023. https://doi.org/10.53761/1.20.6.12.[Online]. Available: https://ro.uow.edu.au
. Hayne, “Design of an Instructional Processor,” Supplement to: C. Roth and L. John, Digital Systems Design Using VHDL, Third Edition, Boston, MA: Cengage Learning, 2018. [Online]. Available: http://academic.cengage.com/resource_uploads/downloads/1305635140_559956.pdf.[3] RISC-V International. [Online]. Available: https://riscv.org/.[4] S. Harris, D. Chaver, L. Pinuel, O. Kindgren, and R. Owen, “RVfpga: Computer Architecture Course and MOOC using a RISC-V SoC Targeted to an FPGA and Simulation,” Proceedings ASEE Annual Conference and Exposition, Baltimore, MD, June 2023.[5] Grenoble Institute of Technology, “LeaRnV: RISC-V based SoC Platform for Research Development and Education.” 2020. [Online]. Available: https
aspiration is to continue evolving this initiative, making it abeacon for other small institutions seeking to make significant strides in undergraduate researchand education.References[1] M. Jahan and S. Aly, "Engaging Undergraduate Students in Hands-on Research UsingUndergraduate-specific Small Internal Grants from the University," 2018. [Online]. Available:DOI: 10.18260/1-2-30400.[2] C. Craney, T. McKay, A. Mazzeo, J. Morris, C. Prigodich, and R. D. Groot, "Cross-DisciplinePerceptions of the Undergraduate Research Experience," The Journal of Higher Education, vol.82, no. 1, pp. 92–113, Jan.-Feb. 2011.[3] D. Lopatto, "Survey of Undergraduate Research Experiences (SURE): First Findings," CellBiology Education, vol. 3, pp. 270–277, Winter 2004.[4] R
to accommodate different learning styles. The quiz tool facilitates rapid evaluationof student performance, enabling instructors to work with students more efficiently. The methodwas implemented in one group and evaluated based on students’ feedback, demonstrating itsefficacy in both regular lab classes and self-learning sessions. Future plans include implementingthe method in different courses to further evaluate its effectiveness.REFERENCES[1] M. Ainley, “Connecting with Learning: Motivation, Affect and Cognition in Interest Processes.” Educational psychology review 18.4 (2006): 391–405. Web.[2] A. Elkhatatt, S. Al‑Muhtaseb, “Hybrid online‑flipped learning pedagogy for teaching laboratory courses to mitigate the pandemic COVID‑19
Paper ID #41112Using Concept Maps in an Undergraduate Heat Transfer CourseDr. Najmus Saqib, Marian University Dr. Najmus Saqib is an Assistant Professor of Mechanical Engineering at Marian University. He has been teaching in his field since 2017. Saqib is passionate about student learning. He received his PhD in Mechanical Engineering from Colorado School of Mines, focusing on ”Optical Diagnostics of Lithium-Sulfur and Lithium-Ion Battery Electrolytes using Attenuated Total Reflection Infrared Spectroscopy”. At Mines Saqib was a member of the MODES Lab, led by Dr. Jason M. Porter. His work on Li-S batteries was the first
summaries into design choices. While dimensions such as height andwaist diameter are correlated, reifying this statistical association into sizes such as S, M, and Lrequires those who fall outside the trend to buck implicit norms: In Leslie’s case she “found asolution: (she) started wearing vintage men’s Levi’s.” Similar to how intersecting marginalizedidentities can lead to unique experiences of marginalization [32], variation across multipledimensions can break the reified statistical assumptions embedded in design practices. Designingfor full inclusion requires grappling with the multidimensional nature of variability.For Trinity, variability did not seem relevant to her intended major of software engineering—theCOP she seeks to join. Despite
andreflective responses to class assignments has allowed this dataset to be assembled.References 1. R.A. Linsenmeier and A. Saterbak, “Fifty Years of Biomedical Engineering Undergraduate Education,” Ann. Biomed. Eng., vol. 48, no.6, pp. 1590-1615, 2020. 2. N.L. Ramo and A. Huang-Saad, “Work in Progress: Exploring the Relationships Between BME Student Perception of the Field and Career Plans,” ASEE Annu. Conf. Expo. Conf. Proc., vol. 2021-June 2021. 3. K. Meyers, V. Goodrich, S. Blackowsi, and E.Spingola, “Factors affecting first-year engineering students’ choice of majors,” Int. J. Eng. Educ., vol. 35, no.4, pp. 861-877, 2019. 4. B.D. Jones, M.C. Paretti, S.F. Hein, and T.W. Knott, “An analysis of motivation
Systems Teaching Methodology Utilizing Analytical and Experimental Approaches,” in Proc. of the ASEE Annual Conference & Exposition, 2007, Honolulu, HI, USA, [Online], available https://peer.asee.org/2617. [Accessed Jan. 19, 2024].[7] S. Kiefer, “Preparing Mechanical Engineering Students for Senior Design Projects with Electronics Components,” in Proc. of the ASEE Annual Conference & Exposition, 2007, Honolulu, HI, USA, [Online], available https://peer.asee.org/2873. [Accessed Jan. 19, 2024].
(Kenyatta University, Kenya), a M.A. in Special Education (WVU), and Ed.D. in Curriculum and Instruction (WVU).Prof. Hyoung Jin Cho, University of Central Florida Professor Hyoung Jin Cho is the Associate Chair of the Department of Mechanical and Aerospace Engineering at the University of Central Florida. He is in charge of coordinating two undergraduate programs – B. S. Mechanical Engineering and B. S. Aerospace Engineering. He has published over 130 peer-reviewed journal and proceeding papers and has 12 and 6 patents granted in the U.S. and Korea, respectively, in the areas of sensors, microfluidic devices, and micro/nanofabrication. His current research focus is on miniaturized environmental sensors and sample
1.32 1.71 +.39**o. PowerPoint software 2.50 2.45 -.05p. Blogs 1.19 1.63 +.44**q. Podcasting .58 1.21 +.63*r. Modeling software .88 1.46 +.58*s. Computer game development software .76 1.15 +.39**t. Robotics programming software .54 1.27 +.73**Difference from pre to post is statistically significant at alpha ≤ .05**Difference from pre to post is
are ITU-T G.823, ITU-T G.824,which regulates the corresponding parameters and values in jitter measuring device in 2048kbit/sand 144kbit/s PDH systems respectively.There are many different ways to measure jitter. An eye diagram provides the most fundamental,intuitive view of jitter. It is a composite view of all the bit periods of a captured waveformsuperimposed upon each other. In other words, the waveform trajectory from the start of period 2to the start of period 3 is overlaid on the trajectory from the start of period 1 to the start of period2, and so on, for all bit periods [3]. Shown in Figure 2 is an idealized eye diagram, with verysmooth and symmetrical transitions at the left and right crossing points. The eye shape willinclude the
information andinstructions for completing the questionnaire.4.2. Project Assessment Data Collection: Monitor the 2+2+2 program & collect assessment data;Facilitate research on improving utilization of on-line forum on pedagogyskillsObjective 5. Institutionalize and disseminate both the products and the partnership process tomaximize the impact both regionally and nationally.Performance Objective--By the conclusion of this grant cycle, activities of the CREATEConsortium will be self-sustaining, institutionalized and widely disseminated. Dissemination willfocus on presentations and web activities. The campuses will fold costs into existing budgets orsecure needed funding locally.5.1 Web Communication: Webmaster for CREATE web site/s. Check and
. Page 22.1170.6[1] Timofeev, V., S., Frolkova, A., K., Serafimov, L., A., The Idea and Realization of the Multi-LevelCurriculum Structure in the System of Higher Technical Education, Moscow : MITHT Publishing center, 2002.[2] Frolkova, A., K., Solomonov, V., A., “Multi-level curriculum structure in higher technical education:Russian experience and perspectives”, Vserossijskaja nauchno-prakticheskaja konferencija “Razvitie processaintegracii vysshego obrazovanija Rossii na osnove Bolonskih principov”, Moscow : MSU Faculty ofEconomics, 26 Nov. 2009, p.359-62.[3] Salomonov, V., A., Belyaeva, O., Y., Frolkova, A., K., “On development of multi-level structure of highereducation curricula in Russian Federation”, Journal of International Scientific
22.1704.5Bibliographic Information1 Susi, T., Johannesson, M., Backland, P. 2007. Serious Games – An Overview.2 Heeter, C., Chu, C., Maniar, A., Winn, B., Mishra, P., Egidio, R., Portwood-Stacer, L. 2003. Comparing 14 Plus 2Forms of Fun (and Learning and Gender Issues) In Commercial Versus Educational Space Exploration DigitalGames.3 Siwek, Stephen E. 2007. Video Games in the 21st Century: Economic Contributions of the U.S. EntertainmentSoftware Industry, Entertainment Software Association (2007).4 Read, J.C., MacFarane, S. 2006. Using the Fun Toolkit and Other Survey Methods to Gather Opinions in ChildComputer Interaction. IDC ’06, June 7 – 9, 2006.5 Kahn, K. 1999. A Computer Game to Teach Programming. National Educational Computing Conference 1999.6 El-Nasr
, “create curriculum and working situations for the product designers tofocus on the engineering approach and vice versa. Otherwise, the students will focus on theirnatural strengths and prior education without gaining greater insights to the other‟s realm andresponsibilities,” when planning educational opportunities. These educational opportunities areimportant because the two groups, “need to work together to foster and understanding of each Page 22.1265.5others‟ strengths and weaknesses.” This type of interaction will lead to the most likely positiveoutcome, without possibly negatively affecting the rest of the student’s educational
design project compared tothe reverse engineering project where the students are assigned by MBTI results. For the seniordesign project, students self-identify design teams and competitively bid for their choice(s) ofdesign project. To be competitive, students need to identify the necessary skill sets for theproject(s) that they intend to bid on, and recruit from their peers students with the necessary skillsets. This is a promising entrepreneurial experience for the students and brings a real-worldaspect to project selection. Page 22.1213.103.2 Project Selection ChangesProjects vary significantly. All projects, including internally sponsored