support of this research project. Proceedings of the 2024 ASEE North Central Section Conference Copyright © 2024, American Society for Engineering EducationReferences[1] E. Michelaraki, C. Katrakazas, S. Kaiser, T. Brijs, and G. Yannis, “Real-time monitoring of driver distraction: State-of-the-art and future insights,” Accident Analysis & Prevention, vol. 192, p. 107241, Nov. 2023. doi:10.1016/j.aap.2023.107241[2] K. E. Beede and S. J. Kass, “Engrossed in conversation: The impact of cell phones on simulated driving performance,” Accident Analysis & Prevention, vol. 38, no. 2, pp. 415– 421, Mar. 2006. doi:10.1016/j.aap.2005.10.015[3] D. B. Nicholson, D. V. Parboteeah, J. A. Nicholson and J. S
needed.Future work should apply these techniques to much larger enrollments across multiple semestersand institutions. With sufficient data capturing all levels of Bloom’s taxonomy, robust andgeneralized predictive models could be developed to unlock personalized interventions andenhance engineering education. This small feasibility study provides empirical motivation topursue further large-scale investigation.References[1] S. Banda, F. Phiri, J. Kaale, A. M. Vanda, D. L. Mpolomoka, R. Chikopela, "Application of Bloom’s Taxonomyin Categorization of Cognitive Process Development in Colleges," Journal of Education and Practice, vol. 14, no. 4,pp. 02, 2023. DOI: 10.7176/JEP/14-4-02.[2] B. K. Yegon, S. M. Mulambula, E. N. Kiaritha, "Teachers’ Utilization
relative to the paper-‐based survey used in the 1980’s. Results Demographics We asked chairs to characterize the size of their departments as well as the number of electives typically offered, as shown in figures 2, 3 and 4 below. Page 24.1050.3 2
the CSUB service area. She is also the Activities Director for a U.S. Department of Education MSEIP grant (P120A110050) to develop an engineering calculus sequence and engineering outreach programs. Her research interests are focused on network and system security, particularly with respects to protecting mission-critical resources and services. She is also conducting research in applying biological concepts to cybersecurity, such as artificial immune systems.Dr. Hani Mehrpouyan P.E., California State University, Bakersfield \Hani Mehrpouyan\ (S’05-M’10) received his B.Sc. honours degree in computer engineering from Simon Fraser University, Canada in 2004 and the PhD degree in electrical engineering from Queen’s
: Full Report for 2009, EPA, pg 15 2. EPA Federal Register, Aug 30, 1988, Vol. 53, No. 168 3. National Solid Wastes Management Association Municipal Solid Waste Landfill Facts 2010 4. Whittier Daily News, 19 September 2012 5. NYC Environmental Justice Alliance, accessed 19Dec12 6. European Environmental Agency, modified 29 Nov 12, accessed 19Dec12 7. “Waste gasification vs. conventional Waste-to-Energy: A comparative evaluation of two commercial technologies,” Consonni, S., Vigano, F, Waste Management 31 (2012) 653-666 8. “Modeling and Control of a Waste-to-Energy Plant: Waste-Bed Temperature Regulation,” Bardi, S., Astolfi, A, IEEE Control Systems Magazine, (December 2010) pp. 27-37 9. MUNICIPAL
conservation as well asdevelopment of renewable energy resources must be vigorously pursued in order to find asolution to this dilemma. The entire public must be vested towards making a transition from afossil fuel based society to one that utilizes a far greater amount of renewable energy resources.According to Elder (2009) “Higher education has a critical role to play in this transition, much asit did during the space race of the 1960s. Our colleges can - and must - help students understandthe complex connections and interdependencies among our environment, energy sources, andeconomy - all of which underpin the green movement.”[1]The present situation is very similar to the 1960’s when the entire country was unified towardsplacing a man on the moon
decades in engineering textbooks and journals.Proximity in Printed Engineering TextbooksA study was conducted to quantify the proximity of text, figures, equations, and tables in severalcurrent-edition printed textbooks used in civil engineering. Four textbooks were selected that aremarketed for undergraduate steel design courses. The textbooks used for the study are listed inTable 1.Table 1 Textbooks used for proximity studyAuthor(s) Title Length (pgs)William T. Segui Steel Design (5th Edition) 752Jack C. McCormac Structural Steel Design (4th Edition) 692Louis F. Geschwindner Unified Design of Steel
sought. Robotic applications seemed a logical choice in programming, andhave become a popular educational vehicle in recent years. So a low cost robotic applicationwas sought for a pilot course taught in the summer of 2012.Robots have been used in education for some time. Penn State began using robots of its owndesign in its freshman program in the mid-1990’s. Typical sub-group size was kept about threestudents with good success.7 Northeastern University also uses project base learning, andincorporates semi-custom kits to teach programming and electronics. The hands-on approachwas met with a high degree of student approbation.4Louisiana State University uses project based freshman courses that include programmablecontrollers and small robots.2
above, and will allow continuous monitoring of the Hadoop Page 23.1181.13cloud computers at a relatively low cost. 12AcknowledgementStudents participated in this study were supported by a grant from the University of the Districtof Columbia STEM Center (NSF/HBCU-UP / HRD-0928444), Washington, D.C. 20008 andfrom a grant from the National Science Foundation Targeted Infusion Project Renewable EnergyGrant (NSF/HBCU-UP/ HRD-1036293).References:[1] P3 International Corporation, Innovation Electronics Solution, 2011.[2] Tweet-A-Watt/Kill-A-Watt from Adafruit Industries, 2009.[3] S. Lakeou, E. Ososanya, B
Foundation (NSF) for supporting this project: A SynergisticApproach to Prevent Persistent Misconceptions with First-year Engineering Students (EEC-1232761). 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 NSF.Reference1. Prince, M., Vigeant, M., & Nottis, K. Assessing misconceptions of undergraduate engineeringstudents in the thermal sciences. International Journal of Engineering Education, 2010, 26(4),880-890.2. Yang, D., Streveler, R. A., &Miller, R. L. Can instruction reinforce misconceptions?Preliminary evidence from a study with advanced engineering students. Paper presented at theAnnual Meeting of the American Educational
Conference.4. Richardson, J., and J. Dantzler. 2002. “Effect of a freshman engineering program on retention and academic performance.” ASEE/IEEE Frontiers in Education Conference.5. Sheppard, S., and R. Jenison. 1997. “Examples of Freshman Design Education.” International Journal of Engineering Education, 13(4), 248-261.6. Board on Science Education. 2012. A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas. Washington, DC: The National Academies Press, 2012.7. Carr, R. L., Bennett Iv, L. D., and J. Strobel. 2012. “Engineering in the K-12 STEM Standards of the 50 US States: An Analysis of Presence and Extent.” Journal of Engineering Education, 101(3), 1-26.8. Dym, C. L. and P. Little. 2004
projects were mostly as expected. The gel electrophoresiscomponent of the first project successfully separated large molecules from small molecules andconfirmed the sizes of the dyes (350-750 g/mol). They found the membrane was able to separatethe dye from the watercolor pigment, but not completely and only the permeate was a pure color.The flux was similar when pore size of the membrane was increased from 50 kDa to 100 kDa, withvalues of 1.23 mL/s to 1.26 mL/s. The second project was able to successfully demonstrate thefunction of the anion-exchange membrane adsorber by successfully isolating thiocyanate from apotassium counterion. The thiocyanate ion acts as an indicator by forming a deep red complexwith iron when added to an iron chloride
(2nd ed.).CRC Press.[1] S. Deshpande and A. Purwar, "A Machine Learning Approach to Kinematic Synthesis ofDefect-Free Planar Four-Bar Linkages," Journal of Computing and Information Science inEngineering, vol. 19, no. 2, p. 021004, June 2019. doi: 10.1115/1.4042325[2] C. M. O’Neill, L. S. Seif, and N. M. Kandasamy, "Deep Generative Models in EngineeringDesign: A Review," Journal of Mechanical Design, vol. 144, no. 7, p. 071704, July 2022. doi:10.1115/1.4052998[3] S. Lee, J. Kim, and N. Kang, "Deep Generative Model-based Synthesis of Four-bar LinkageMechanisms with Target Conditions," arXiv, Feb. 2024. [Online]. Available:https://arxiv.org/abs/2402.14882[4] E. Constans, Introduction to Mechanism Design: With Computer Applications, 2nd ed
to the present day requirement and accessingthe limited space available in house. Quantification of rehabilitation program based on gait dataof patient in real time will certainly increase the efficacy and suggest new methods for patients toreach the near natural gait. Wireless sensor modules were developed which can be attached to thePHAS or the patient. The modules are portable and have onboard power. These modules can alsobe used to record the range of joint motion of any human body segment with little modification.The gait data was reported on a normal healthy person acts as a reference database.References: 1. Leonard E. Kahn, Peter S. Lum, W. Zev Rymer and David J. Reinkensmeyer, Robot- assisted movement training for the stroke
WorkIn our future work, we will examine the results of the 109 papers according to our a priori codesdescribed in Table 2. Our coding table will enable us to answer RQ1 and RQ2 by examiningwhat SNA-based contrasts have been effective or not effective for prior researchers. Our codingtable will also include the data collection and methods used to help answer RQ1-A and B. Table 2 Coding table to examine the results of the 109 papers. Code(s) Sub-code(s) General Title Author(s) Year of Publication Information SNA Data Participants majors and sample size Data collection methods Collection
. Akinpelu3, Ayodeji N. Oyedeji1,Emmanuel Okafor4, Cynthia U. Odili5, Vanessa F. Ogenyi6, Victor S. Ategbe8, Adrian O.Eberemu7,10, Fatai O. Anafi1,10, Abdulkarim S. Ahmed8,10, Raymond B. Bako9,10, AkinloluAkande2,31 Department of Mechanical Engineering, Ahmadu Bello University, Zaria, 810222, Nigeria. 2 Mathematical Modelling and Intelligent Systems for Health and Environment Research Group, School of Science, Atlantic Technological University, Sligo, F91 YW50, Ireland. 3 Modelling and Computation for Health and Society, Atlantic Technological University, Sligo, F91 YW50, Ireland. 4 SDAIA-KFUPM Joint Research Center for Artificial Intelligence, King Fahd University of
teachers developed an engineering learning sequence thatconnected to a design opportunity within their local context (see Hammack et al., 2022 foradditional curriculum detail). After developing the lessons, participating teachers enacted thelessons with their elementary students. Participants included 43 4th and 5th grade students dividedinto two groups, those who attended school on a Native American reservation (n=23) and thosewho attended a small town school not located on a reservation (n=20). To measure the impacts ofthe program, students completed the Students Attitudes towards STEM survey ([S-STEM],Friday Institute, 2012) and the Engineering Identity Develop Scale ([EIDS], Capobianco et al.,2017) before and after engaging in the community
,” 2023. Accessed: May 26, 2023. [Online]. Available: https://ncses.nsf.gov/pubs/nsf23315/report/the-stem-workforce#representation-in-the-stem-w orkforce[3] Board on Science Education, Board on Higher Education and Workforce, National Academy of Engineering, and National Academies of Sciences, Engineering, and Medicine, Imagining the Future of Undergraduate STEM Education: Proceedings of a Virtual Symposium. Washington, D.C.: National Academies Press, 2022, p. 26314. doi: 10.17226/26314.[4] Z. Wilson-Kennedy, G. S. Byrd, E. Kennedy, and H. T. Frierson, Broadening Participation in Stem: Effective Methods, Practices, and Programs. Bingley, UNITED KINGDOM: Emerald Publishing Limited, 2019. Accessed: Feb. 04, 2023. [Online
to visualize 2x2 and 3x3 matrices by Christian Otto Mohr in thelate 1800’s, Mohr’s circle has since become a foundational, visual tool for mechanics studentsworking to understand the stresses at play at derived points in materials [1]. Undergraduateengineering students are commonly introduced to Mohr’s circle in their Mechanics of Materialsclass as an analytical tool included in the lessons on stress transformations. The basic idea behindMohr’s circle is that normal and shear stresses on a plane within a material depend on theorientation of that plane [2]. Through graphical representation, Mohr’s circle simplifies theprocess of reorienting a given planar section of material to obtain the normal and shear stresses atthe new orientation. It
: https://doi.org/10.1115/1.2020-SEP3.[4] NSPE Advisory Committee, “Why Should I Care About Diversity in Engineering? | National Society of Professional Engineers,” PE Magazine, no. July/August 2020, Aug. 2020. Accessed: Dec. 12, 2021. [Online]. Available: https://www.nspe.org/resources/pe- magazine/july-2020/why-should-i-care-about-diversity-engineering[5] J. M. Trenor, S. L. Yu, C. L. Waight, K. S. Zerda, and T.-L. Sha, “The Relations of Ethnicity to Female Engineering Students’ Educational Experiences and College and Career Plans in an Ethnically Diverse Learning Environment,” J. Eng. Educ., vol. 97, no. 4, pp. 449–465, Oct. 2008, doi: https://doi.org/10.1002/j.2168-9830.2008.tb00992.x.[6] H. S. Mosatche
insights. This preliminary analysis serves as a foundation for deeper investigationsinto spatial skills within the MET program. While the data shows promising trends, furtherexamination and collaboration are essential to unlock the full potential of spatial skills assessmentand its impact on education and interdisciplinary cooperation.REFERENCESDuffy, G., Power, J., Sorby, S., Bowe, B. (2018). Differentiating between Spatial Ability as aSpecific Rather than General Factor of Intelligence in Performance on Simple, Non-routineProblems in Mathematics. Engineering Design Graphics Journal, 82(1), 43-46.http://edgj.org/index.php/EDGJ/article/view/682Lubinski, D. (2010). Spatial ability and STEM: A sleeping giant for talent identification anddevelopment
, students indicated that they understoodML better. Students also expressed a desire to continue learning and apply machine learning totheir future engineering projects. With ML and cloud computing becoming increasinglyprevalent for engineering professionals, first-year students must be introduced to the topic in thecontext of real-world engineering problems and without significant technical learning overhead.References [1] Stone, J. E., & Milner, F., & Roberts-Weigert, S. (2023, July), Full Paper: Introducing Machine Learning to First Year Engineering Students Paper presented at 14th Annual First-Year Engineering Experience (FYEE) Conference, University of Tennessee in Knoxville, Tennessee. 10.18260/1-2--44829 [2] S
ETD 515 VARiETy: Using Virtual and Augmented Reality in Engineering Technology to Improve Academic Success of African American Males and Females in Engineering Technology Programs at Augusta Technical College Kim Gaines, Caleb Allen, Johnica Mitchell, Shirley Walker-Herrington Augusta Technical CollegeAbstractVARiETy work-in-progress explores Augusta Technical College’s U. S. Department of EducationPredominantly Black Institutions (PBI) Formula grant initiative to incorporate the immersive technology ofvirtual and augmented reality into introductory
in this paper has been supported by the National Science Foundation(NSF) Excellence in Research Grant (Award 2100850) and the author would like to acknowledgethe support of Dr. Salil Desai and the Center for Excellence in Product Design and AdvancedManufacturing (CEPDAM) at North Carolina A&T State University.References[1] S. Das, D. K. Kleinke, and D. Pistrui, “Reimagining Engineering Education: Does Industry 4.0 Need Education 4.0?,” ASEE Annu. Conf. Expo. Conf. Proc., 2021, doi: 10.18260/1-2--35136.[2] X. Yang, A. C. Floyd, L. A. Smith, and B. Morkos, “Analysis of Engineering Undergraduates’ Confidence with Hands-on Tasks – Preparation for Collaborative Manufacturing Environments in the Era of
in this paper has been supported by the National Science Foundation(NSF) Excellence in Research Grant (Award 2100850) and the author would like to acknowledgethe support of Dr. Salil Desai and the Center for Excellence in Product Design and AdvancedManufacturing (CEPDAM) at North Carolina A&T State University.References[1] S. Das, D. K. Kleinke, and D. Pistrui, “Reimagining Engineering Education: Does Industry 4.0 Need Education 4.0?,” ASEE Annu. Conf. Expo. Conf. Proc., 2021, doi: 10.18260/1-2--35136.[2] X. Yang, A. C. Floyd, L. A. Smith, and B. Morkos, “Analysis of Engineering Undergraduates’ Confidence with Hands-on Tasks – Preparation for Collaborative Manufacturing Environments in the Era of
appearing in all twelve rankings. The top eleven AI detectionsoftware applications appeared in at least half of the rankings. Overall, there were thirty-eight AIdetection software applications in the study.Table 1: Ranking of AI detection programs by recent comparative analysis reviews [19]-[30]. Holcombe A bdullahi S chaffer A ndreev P
/3 15 9 (60%) 0 Table 5 Confidence Increased Rank (self‐reported) # of Students Increased Decreased Anxiety Top 1/3 31 23 1 6 (19.3%) Mid 1/3 32 7 6 21 (65.6%) Bottom 1/3 15 1 7 12 (80%)Bibliography1. DeAngelo, L., Franke,R., Hurtado, S., Pryor, J.H., and Tran, S. (2011). Completing College: Assessing Graduation
improvements in the quality of research papers. The literature reviews are morefocused, and the papers are more cohesive with respect to their main topics. These courses aretypically taken by first-year masters students, so we will need to determine if the skills developedby writing the research paper help students with their thesis research.References[1] L. A. Krishnan and S. S. Kathpalia, "Literature reviews in student project reports," Professional Communication, IEEE Transactions on, vol. 45, pp. 187-197, 2002.[2] M. Davis, Scientific papers and presentations: Academic Press, 1997.[3] R. A. Day, How to write & publish a scientific paper, 3rd Ed: Phoenix Oryx Press, 1988.[4] J. M. Levis and G. M. Levis, "A project-based
. Guide students to adopt clear safety metric(s) for use in subsystem/component trade studies; c. Perform a top-down assessment of safety hazards; encourage students to consult with multiple technical experts to avoid gaps in hazard identification; d. Complete a risk assessment, determining the likelihood of a hazard occurring, the severity of its impact, the ability to avoid the hazard or to detect its onset; e. Identify relevant standards/best practices; f. Consider design choices that might prevent hazards or minimize their impact; g. Formulate barriers to isolate unavoidable hazards and mandate the use of appropriate personal protective devices to minimize the potential for injury; Proceedings of the 2017
motivate them, which in turn can result inthe failure to attain the program‟s educational goals and objectives. This speaks directly to theimportance of need assessment surveys designed to identify what motivates and concernsteachers in advance of developing training programs.According to Sprague and Nyquist[23], GTAs go through three stages of development in their roleas a teacher, which include „Senior Learners‟, „Colleagues in Training‟, and „Junior Colleagues‟.Nyquist and Wulff[24] suggest that faculty could use these developmental stages to determinehow to approach their mentoring of GTAs in relation to teaching roles and assignments. GTAs indifferent stages of development are considered to have different concerns about teaching