this paper clearly indicate the learning opportunities provided to the students at MUSE. Thestudents also participate in the multidisciplinary senior design projects in their final year. Theeffective use of theory classes, design and manufacturing lab facilities, multidisciplinary seniordesign projects, and co-op opportunities provide the students the needed expertise and preparethem well to meet the challenges in the industrial workplace.References[1] Davis, D. C., Gentili, K. L., Trevisa, M. S., and Calkins, D. E., “Engineering Design Assessment Processes and Scoring Scales for Program Improvement and Accountability,” Journal of Engineering Education, Vol. 91 (No. 2), 2002, pp. 211-221.[2] Dym, C. L., Sheppard, S. D., and
this paper clearly indicate the learning opportunities provided to the students at MUSE. Thestudents also participate in the multidisciplinary senior design projects in their final year. Theeffective use of theory classes, design and manufacturing lab facilities, multidisciplinary seniordesign projects, and co-op opportunities provide the students the needed expertise and preparethem well to meet the challenges in the industrial workplace.References[1] Davis, D. C., Gentili, K. L., Trevisa, M. S., and Calkins, D. E., “Engineering Design Assessment Processes and Scoring Scales for Program Improvement and Accountability,” Journal of Engineering Education, Vol. 91 (No. 2), 2002, pp. 211-221.[2] Dym, C. L., Sheppard, S. D., and
entire MLprocess, fostering computational thinking and problem-solving [18]. Kajiwara et al. employed agamified ML role-playing game, simplifying concepts for high school students [15]. Ethicalconsiderations were integrated through projects like VotestratesML, which explored AI's societalimpacts in democratic contexts [20], and Kong et al.’s collaborative projects addressing fairnessand bias in AI systems [16].3.5 Results for RQ4: Which of the AI4K12 Five Big Ideas frameworks are being included?The AI4K12 Five Big Ideas rubric assessed studies on Perception, Representation & Reasoning,Learning, Natural Interaction, and Societal Impact, scoring from 0 (not addressed) to 4 (thoroughintegration). Results highlighted strengths in Learning
-disciplinary engineering education collaborations”, Journal of Engineering Education, 2008, 97(2), pp. 123-134.[4] J. R. Hackman, “The design of work teams”, Handbook of Organizational Behavior, J. W. Lorsch (ed), Prentice-Hall, 1987.[5] L. D. McNair, C. Newswander, E. Coupey, E. Dorsa,, T. Martin, and M. P. Paretti, “Self-organizing units to promote interdisciplinary teaming in a course for pervasive computer design”, Proc., ASEE Annual Conference, Austin, TX, 2009.[6] L. J. Shuman M. Besterfileld, and J. McGourty, “The ABET professional skills—Can they be taught?”, Journal of Engineering Education, 2005, 94(1), pp. 41-55.[7] C. R. Zafft, S. G. Adams, and G. S. Matkin, “Measuring leadership in self-managed teams using the competing
. Journal of Manufacturing and Materials Processing, 9(1), 16.[2].Mokhtar, W. A., & Nasir, S. B. (2024, March). Effects of injection molding processparameters on the mechanical properties of ABS and PP polymer. In 2024 ASEE North CentralSection Conference.[3].Ahmed, T., Sharma, P., Karmaker, C. L., & Nasir, S. (2022). Warpage prediction of Injection-molded PVC part using ensemble machine learning algorithm. Materials Today: Proceedings, 50,565-569.[4]. Nasir, S. B., & Mokhtar, W. (2024). Effects of Injection Molding Process Parameters on theMechanical Properties of ABS and PP Polymer.[5]. Tranter, J. B., Refalo, P., & Rochman, A. (2017). Towards sustainable injection molding ofABS plastic products. Journal of Manufacturing Processes
locations. The centralized platform will capture multimedia data (audio, video, text)from the two locations listed above for display and analysis on monitor(s) in the chosen locationand will be used to store the data at regular intervals such as hourly, daily, and weekly recordsfor future retrieval and analysis.Product RequirementsThe product requirements are: 1) Primary or main display monitor setup to provide (a) the overview of each remote location (b) key real-time multimedia data captured. 2) Secondary display of room-level, workbench-level, device-level status from each remote location. 3) Controls to navigate across primary and secondary displays at different visual resolutions/zoom features
on students’ choice of pursuing aSTEM career (Chan et al., 2020; Kong et al., 2014; Maltese & Tai, 2010); however, our studyfound that Latinx students were not engaged in out-of-school activities during middle school. In-and-out of class learning experiences during middle school and high school have also been foundto impact students’ decision to pursue a STEM major [17]–[24]. Yet, studies have found that Latinx students are less likely than other groups to participatein out-of-school activities or school-based extracurricular activities [25]–[29]. Chan et al.’s [28]study, which used the High School Longitudinal Study: 2009 dataset, reported that Latinx studentsfrom high and low socioeconomic status were less likely than their
Teaching International, vol. 54, no. 4, pp. 374–385, Jul. 2017, doi: 10.1080/14703297.2015.1108214.[5] A. Pagano, S. Shehab, and L. Liebenberg, “WIP: Introducing Students to Human-Centered Design in a Design for Manufacturability Course,” in 2020 ASEE Virtual Conference, 2020, p. 12.[6] “EAC-Criteria-2020-2021.pdf.”[7] R. Buchanan, “Wicked Problems in Design Thinking,” Design Issues, vol. 8, no. 2, pp. 5– 21, 1992.[8] M. Meinel, T. T. Eismann, C. V. Baccarella, S. K. Fixson, and K.-I. Voigt, “Does applying design thinking result in better new product concepts than a traditional innovation approach? An experimental comparison study,” European Management Journal, p. S0263237320300232, Feb. 2020, doi: 10.1016/j.emj
Undergraduate STEMEducation (IUSE) program. References[1] Workforce Singapore. “5 digital skills needed in 2021”. https://content.mycareersfuture.gov.sg/top-5-digital-skills-need-2021/[2] M. Muro, S. Liu, J. Whiton, and S. Kulkarni. “Digitalization and the American workforce”. Washington, DC: Metropolitan Policy Programs at Brookings, 2017.[3] Data USA. “Computer science. STEM Major”. Deloitte, DataWheel. https://datausa.io/profile/cip/computer-science-110701[4] S. Smith, E. Taylor-Smith, L. Bacon, and L. Mackinnon, L. “Equality of opportunity for work experience? Computing students at two UK universities ‘play the game’”. British Journal of Sociology of Education, vol
,” “be open tobeing challenged on your ideas and expectations,” and “no gas lighting” [25]. Prior to each PDsession, participants were required to complete a pre-work assignment, which included a smallcollection of videos and podcast episodes related to the upcoming session topic.Each 2-hour session included guest speaker(s) in the first hour who were experts on the sessiontopics (e.g., Dr. Ruha Benjamin, Dr. Safiya Noble, and Dr. Ebony McGee). The second hour wasdedicated to breakout and larger group discussions that built upon the pre-work and guestspeaker(s) in the context of personal/professional experiences. The first six PD sessions focusedon participants understanding their positionality in the context of the session topics
outSimilarly in the entropy equation, begin with the entropy defined with respect to a conventionalreference dSCV d m s CV Q si m i,in se m e,exit k ,in Sgen (9) dt dt i,in e, exit k TkNote that temperatures in the entropy equation above may apply to a simplistic one-dimensionalheat transfer or a more realistic effective temperature. Then replace the conventional entropywith the entropy written with respect to the Fixed Dead State (FDS) at ambient temperature andpressure
, quizzes (fixed-choice questions from the original workbook), and the software should be madeavailable to students on the university LMS.References[1] I. M. Smith, Spatial ability: its educational and social significance. San Diego, Calif.: R.R. Knapp, 1964.[2] D. L. Shea, D. Lubinski, and C. P. Benbow, “Importance of assessing spatial ability in intellectually talented young adolescents: A 20-year longitudinal study,” Journal of Educational Psychology, vol. 93, no. 3, pp. 604–614, 2001.[3] M. Kozhevnikov, M. A. Motes, and M. Hegarty, “Spatial Visualization in Physics Problem Solving,” Cognitive Science, vol. 31, no. 4, pp. 549–579, 2007, doi: https://doi.org/10.1080/15326900701399897.[4] S. Y. Yoon and E. L. Mann, “Exploring
-publications/publications/The-Green-Report.pdf[3] American Society for Engineering Education, "Transforming Undergraduate Education in Engineering: Phase I: Synthesizing and Integrating Industry Perspectives - Workshop Report," National Science Foundation, Washington, DC, 2013.[4] L. J. Shuman, M. Besterfield-Sacre, and J. McGourty, "The ABET "Professional Skills" - Can They Be Taught? Can They Be Assessed?," Journal of Engineering Education, vol. 94, no. 1, pp. 41-55, 2005.[5] L. Deslauriers, L. S. McCarty, K. Miller, K. Callaghan, and G. Kestin, "Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom," Proceedings of the National Academy of Sciences
government beginning in the 1960s and secured the technologicalsuperiority of the United States during the latter part of the 20th century.America was once again shocked into reassessing the adequacy of our future science andengineering (S&E) workforce after the September 11, 2001 terrorist attacks. That self-examination, and the need to put more people to work on technical solutions to the problems ofterrorism, war, and national security, led Congress to authorize the Department of Defense tocreate the SMART (Science, Mathematics, and Research for Transformation) pilot programunder the Ronald W. Reagan National Defense Authorization Act (NDAA) for Fiscal Year 2005.The immediate positive response to the SMART program prompted Congress to make
with the search quadcopter. The sensors and technologies used on the rescuequadcopter are similar to that of the search quadcopter. The main difference was that an electropermanent magnet is utilized in this system to hold and release the rescue package to be deliveredto the survivor (s).Figure 10 shows the collision avoidance system being tested for the search quadcopter. The firstflight test was conducted by hovering the quadcopter roughly 3 feet above the ground andactivating the altitude hold flight mode. The copter was then slowly pitched forward towards awall until the safety zone was breached and the Arduino took over the pitch control.The students presented their work both at student conferences and a professional conference.20
) Revisions Introduction to Engineering Course Teaching EnvE (F), U (F) Active Learning Fall 20172 & Computer Science Revisions Chemical Engineering Course Pre-Tenure ChE (S) Active Learning Fall 2017 Thermodynamics II Component AE (J), BE (S), Electrical Engineering
National Center for Women in Information Tech- nology (NCWIT) and, in that role, advises computer science and engineering departments on diversifying their undergraduate student population. She remains an active researcher, including studying academic policies, gender and ethnicity issues, transfers, and matriculation models with MIDFIELD as well as student veterans in engineering. Her evaluation work includes evaluating teamwork models, statewide pre-college math initiatives, teacher and faculty professional development programs, and S-STEM pro- grams.Dr. Joyce B. Main, Purdue University, West Lafayette (College of Engineering) Joyce B. Main is Assistant Professor of Engineering Education at Purdue University. She
on Education, Vol. 48, No. 3, pp. 462–471, August 2005. 3. R. W. Ives, B. L. Bonney and D. M. Etter, “Effect of Image Compression on Iris Recognition”, IEEE Instrumentation and Measurement Technology Conference, Ottawa, Canada, May 17—19, 2005. 4. S. Cotter, “Laboratory Exercises for an Undergraduate Biometric Signal Processing Course”, ASEE Annual Conference and Exposition, Louisville, Kentucky, June 2010. 5. S. Cotter, “Assessing the Impact of a Biometrics Course on Students’ Digital Signal Processing Knowledge”, ASEE Annual Conference and Exposition, Vancouver, Canada, June 2011. 6. S. Cotter and A. Pease, “Incorporating Biometrics Technology into a Sophomore Level
students in Texas. Students accumulate transfer student capital, or knowledge about thetransfer process, at sending institutions (i.e., the place(s) where students begin their degreepaths), receiving institutions (i.e., the final degree-granting institution), and potentially from non-institutional sources. The development of transfer student capital may come from experiencesrelated to learning and study skills, course learning, perceptions of the transfer process, academicadvising and counseling, and experiences with faculty. Upon arriving at the receiving institution,students must adjust to the new environment academically, socially, and psychologically, all ofwhich may influence a variety of educational outcomes. Figure 1
platforms, which extend or compliment the LMS features and allow the instructorto provide their desired feedback. This paper summarizes the features of eight additional toolsthat can be used to expand feedback and assignments in engineering courses.References[1] M. D. Svinicki, and W. J. McKeachie, McKeachie's Teaching Tips: Strategies, Research, and Theory for College and University Teachers: Wadsworth Cengage Learning, 2014.[2] S. Navaee, “Application Of Technology In Engineering Education,” Portland, Oregon, 2005.[3] G. M. Nicholls, W. J. Schell, IV, and N. Lewis, “Best Practices for Using Algorithmic Calculated Questions via a Course Learning Management System,” New Orleans, Louisiana, 2016.[4] A. Jones
students to matriculate intocollege science and engineering programs, or to enroll in the state‟s technical and communitycolleges. There is a strategic imperative for Georgia Tech to promote teaching as a valued careergoal and to support those STEM majors who wish to pursue a career in teaching in the K 12arena. As part of a new, campus-wide initiative, supported by the NSF, Georgia Tech hasimplemented a series of activities to promote careers in K-12 teaching, and has set up theinfrastructure to track and evaluate these initiatives. This paper will describe the initiativesimplemented so far, the types of road blocks encountered, and the numbers of students enteringteaching from various engineering fields. Our goal is to change the perceptions
0 := ⋅ := ⋅ ft Pb 0 in2 Zb 30 K factor Equivalent length Number of pipes 0.78 K := 32 C := N := length ( D) 1 90 Density in lbm/ft3 Viscosity in lbm/ft-s lb lb ρ := 62.4⋅ µ := 0.000658
100 1,000 10,000 0.1 1 10 M agnetizing Force RM S Ampere Turns Per M eter Watts Per Pound (P) (a) Magnetizing force (b) Core loss Page 9.374.2Fig. 1 Core magnetization curve “Proceedings of the 2004
/ Ramón Vázquez Lueny Morell included in the student package. ÃÃÃÃÃÃÃÃÃÃà UurÃrÃsÃQhT8 S ÃvÃÃvqrà vv Ãvvvà vuÃhà Luis Jiménez UNIV 101 Freshman Course. This course v à ÃivyqÃÃurvÃI6 T6 rqÃrrhpuÃhqÃurvÃvpuÃuvÃsÃrqph Robert Acar
expertise in modeling architectures for complex engineering systems such as transportation, infrastructure, water resources and energy distribution using computational intelligence techniques He is the founder and Boeing Coordinator of the Missouri S&T’s System Engineering graduate program. Dr. Dagli is the director of Smart Engineering Systems Laboratory and a Senior Investigator in DoD Systems Engineering Research Center-URAC. He is an INCOSE Fellow 2008 and IIE Fellow 2009. He has been the PI, co-PI, or director of 46 research projects and grants totaling over $29 million from federal, state, and industrial funding agencies Dr. Dagli is the Area editor for Intelligent Systems of the International Journal of
communication skills. The term paper concept is based on theprinciples of ideation and implementation, the key elements of creativity and critical thinking.The development of ideas based on the students’ subject area(s) of interest serves as a drivingforce for implementation of the ideas. Implementation takes the students through the process ofliterature search for acquisition and development of knowledge base, design of experiment tovalidate and verify idea(s), performance of experiment for data acquisition, analyses andinterpretation of acquired data, and the ultimate report writing and presentation. Report writingteaches the students how to write and is an additional medium for learning the subject material.Presentation introduces and initiates the
the questionSpeaker A Insert expansion Fins rephrases questionSpeaker B Second Pair Part Sb answers questionSpeaker A Post-expansion Fpost asks a follow-up questionSpeaker B Post-expansion Spost answers follow-up questionThere were generally seven different iterations of this schematic found within the excerptsanalyzed for this study. The most common forms of talk are noted in Table 1. Notably, talkinclusive with post-expansions were most commonly found within the excerpts analyzed for thisstudy. Number of Excerpts that included parts of talk (Schegloff, 2007) F pre S pre Fb Sb SCT PCM F post S post 15
. The transfer function between and an external torque, , can be expressed in the form given in Equation 3, where is the output of interest (represented by Y(s)) and is the input (represented by U(s)) Y ( s) K n2 2 U ( s ) s 2 n s 2 n (3) From Equation 2, we can see that the pendulum is a 2nd order-system (and we can compare it to the general
, pp. 151–185, 2011.[6] Elementary science teachers’ sense-making with learning to implement engineering design and its impact on students’ science achievement[7] C. M. Cunningham and G. J. Kelly, “Epistemic Practices of Engineering for Education,” Science Education, vol 1010, no. 3, pp. 486–505, 2017.[8] T. J. Moore, A. W. Glancy, K. M. Tank, J. A. Kersten, K. A. Smith, and M. S. Stohlmann, “A Framework for Quality K-12 Engineering Education: Research and Development,” Journal of Pre-College Engineering Education Research (J-PEER), vol. 4, no. 1, 2014.[9] American Society for Engineering Education and Advancing Excellence in P12 Engineering Education. Framework for P-12 Engineering Learning, 2020
other contexts were not considered.• The research should incorporate at least one significant finding related to the discrimination encountered by Asian engineering students, even if this is not the primary research question the study aims to address. After refining the search criteria, we identified nine studies. These studies arelisted in Table 1.Table 1Selected Studies 1 Bahnson, M., Hope, E., Satterfield, D., Alexander, A., Briggs, A., Allam, L., & Kirn, A. (2022). Students’ Experiences of Discrimination in Engineering Doctoral Education. 2022 ASEE Annual Conference & Exposition. https://peer.asee.org/41006.pdf 2 Lee, M. J., Collins, J. D., Harwood, S. A., Mendenhall, R., & Huntt, M. B