adjust to new people, places, and situations.14. Groups usually produce better results when they are made up of people who all see things thesame way.References[1] S. Nazari, P. Rodriguez, “International Critical Thinking and International CommunicationsAttitudes and Beliefs Survey Report,” University of Florida International Center-Office of GlobalLearning, 2021.[2] R. Davies, H. Zaugg, I. Tateishi, “Design and development of a cross-cultural dispositioninventory,” European Journal of Engineering Education, Volume 40, Number 1, pp. 81-94, 2015.[3] D. B. Knight, K. A. Davis, T. J. Kinoshita, C. Twyman, A. M. Ogilvie, “The Rising SophomoreAbroad Program: Early Experiential Learning in Global Engineering,” Advances in EngineeringEducation, Volume
Programs, 2021 – 2022 | ABET.” Accessed: Nov. 02, 2021. [Online]. Available: https://www.abet.org/accreditation/accreditation-criteria/criteria- for-accrediting-engineering-programs-2021-2022/[2] W. B. Stouffer and J. Russell, “Too Liberal Or Not Liberal Enough: Liberal Arts, Electives, And Professional Skills,” presented at the 2003 Annual Conference, Jun. 2003, p. 8.1199.1- 8.1199.14. Accessed: Oct. 18, 2023. [Online]. Available: https://peer.asee.org/too-liberal- or-not-liberal-enough-liberal-arts-electives-and-professional-skills[3] M. C. Kenny, O. Pierrakos, and M. O’Connell, “Infusing the Liberal Arts in First-Year Engineering: A Module on History, Professional Identity, and Courage,” presented at the 2021 ASEE
ofThermal Science and Engineering Applications, Vol. 4, No. 4, 2012.[5] A. Sharma, S. K. S. Boetcher, W. A. Aissa, M. J. Traum, “Impact of Interstitial MassTransport Resistance on Water Vapor Diffusion Through Southern Mills Defender 750 FabricLayers,” Proceedings of the ASME/JSME 2011 8th Thermal Engineering Joint Conference,Honolulu, HI, USA, March 13 – 17, 2011.[6] B. K. Lee, S. Y. Sohn, “Exploring the effect of dual use on the value of military technologypatents based on the renewal decision,” Scientometrics, Vol. 112, pp. 1203–1227, 2017.[7] A. Khorram-Manesh, L. J. Mortelmans, Y. Robinson, F. M. Burkle, K. Goniewicz, “Civilian-Military Collaboration
international students,” New Dir. Teach. Learn., vol. 2023, no. 175, pp. 83–92, Sep. 2023, doi: 10.1002/tl.20561.[22] B. A. Burt and J. T. Johnson, “Origins of early STEM interest for Black male graduate students in engineering: A community cultural wealth perspective,” Sch. Sci. Math., vol. 118, no. 6, pp. 257–270, Oct. 2018, doi: 10.1111/ssm.12294.[23] M. M. Espino, “Exploring the role of community cultural wealth in graduate school access and persistence for Mexican American PhDs,” Am. J. Educ., vol. 120, no. 4, pp. 545–574, Aug. 2014, doi: 10.1086/676911.[24] L. A. DeCrosta, “What’s culture got to do with it? An investigation into the individual and institutional factors that support underrepresented
Paper ID #40916Benefits of a Decade Dedicated to FE PreparationDr. Charles D Newhouse P.E., Virginia Military Institute Charles D. ”Chuck” Newhouse received his Ph.D. in Civil Engineering at Virginia Tech after working nine years as a consulting structural engineer for MMM Design Group in Norfolk, Virginia. He spent three years teaching at Texas Tech University before joining the faculty at the Virginia Military Institute in 2008 where he is now the Charles S. Luck, Jr. ’20 Institute Professor in Engineering. He is also currently serving as the department head of the Civil and Environmental Engineering department.Dr
Paper ID #40876Examination of Combustion Processes Using a Rankine CyclerDr. Chuck H. Margraves, University of Tennessee at Chattanooga Dr. Chuck Margraves is a UC Foundation Associate Professor and Graduate Coordinator of Mechanical Engineering at the University of Tennessee at Chattanooga. His current research focus is on STEM Education, particularly in the area of energy sustainability, at the collegiate and high school levels.Samuel Thomas Mossbeck I’m a senior level Mechanical Engineering student at the University of Tennessee at Chattanooga. ©American Society for Engineering Education, 2024
Paper ID #40948Motivations of Students in a Thermodynamics CourseNancy J. Moore PhD, North Carolina State University The author is a Teaching Associate Professor at North Carolina State University in the Mechanical and Aerospace Engineering Department. She teaches undergraduate courses in the thermal-fluid sciences. She is the course coordinator for Thermodynamics I and has taught the course in the traditional lecture and flipped formats.Dr. Aaron Smith, Mississippi State University Aaron Smith is an Assistant Clinical Professor in the Mechanical Engineering Department at Mississippi State University. He obtained his
; Tong, M. (2020, January). Review of deep learning-based personalized learning recommendation. In Proceedings of the 2020 11th International conference on E-education, E-business, E-management, and E-learning (pp. 145-149).[15] Mansur, A. B. F., Yusof, N., & Basori, A. H. (2019). Personalized learning model based on deep learning algorithm for student behaviour analytic. Procedia Computer Science, 163, 125-133.[16] Rosalina, R., & Sen, T. W. (2022, December). The Implementation of Deep Learning Methods in Education to Support Personalized Learning. In Proceeding of International Conference on Sustainable Engineering and Creative Computing (Vol. 1, No. 1, pp. 44-49).[17] Tsiakmaki, M., Kostopoulos, G., Kotsiantis, S
Paper ID #40908A Proposed Course of Advanced Decision Making methods for Undergradu-ateStudentsDr. javad khazaii, kennesaw state university JAVAD KHAZAII, PHD, PE, is Associate Professor of Mechanical Engineering Technology and has more than twenty years of experience in HVAC engineering design and energy modeling. He also has twelve years of part-time and full-time teaching experience in teaching heat, energy, and programming courses. He has published two books focusing on energy efficiency, and advanced decision-making.Ali KhazaeiAaron Adams, Kennesaw State University Aaron Adams, an Associate Professor, has a Master’s and
Paper ID #40961A Framework for Closing Workforce Knowledge Gap Through EngineeringEducation.Tien YeeDr. Sunanda Dissanayake, Kennesaw State University Dr. Dissanayake is the department chair and professor of the Civil and Environmental Engineering at Kennesaw State University (KSU). She oversees the academic programs and is in charge of the budget and human resource management related to the department, with about 800 students, 19 Full-time faculty, and more than 20 part-time faculty. Before joining KSU in the summer of 2021, she was a professor of Civil Engineering and the Associate Dean of the Graduate School at Kansas
Paper ID #40954Robotics and Mechatronics Engineering Framework to Develop a SeniorCapstone Design Project: A Biomedical Mechatronics Engineering Case StudyPaul ForsbergDr. David A. Guerra-Zubiaga, Kennesaw State University Dr. Guerra-Zubiaga has 11 years of industry experience and 12 years of academic experience. He has led important international industrial projects with 14.2 million USD, as total research income gained. In 2014 and 2016, he obtained a $340 Million In-Kind Software Grant from Siemens PLM Software. He published 2 patents, 1 book, and more than 80 international papers; and he directed 25 postgraduate theses
Paper ID #40925Restructuring VMI Civil and Environmental Engineering Labs: A move worthto explore!Dr. Tanjina Afrin, Virginia Military Institute Dr. Afrin earned her Ph.D. in Civil Engineering from Clemson University. She is currently an Associate Professor at VMI and one of the faculty advisors of the VMI chapters of American Society of Civil Engineers (ASCE) and Society of Women Engineers. She teaches water resources engineering courses and her main research interest is urban hydrology and green infrastructures. She enjoys helping students with their class/research/community projects.Dr. Matthew K Swenty P.E., Virginia
Paper ID #40992Numeric Tolerances in Online Learning Management Platforms: A CaseStudyin Heat TransferDr. David Calamas, Georgia Southern University David Calamas is an Associate Professor in the Department of Mechanical Engineering at Georgia South- ern University. He received a BS in Mechanical Engineering from Clemson University and an MS and PhD in Mechanical Engineering from The University of Alabama. ©American Society for Engineering Education, 2024 Numeric Tolerances in Online Learning Management Platforms: A Case Study in Heat TransferAbstractThe Nusselt number
Competency-Based Curriculum in Orthogeriatric”, JCEHP, 2014, 34 (2),123-130.Hansen, Rebecca A. “Impact of Study Abroad on Ethnocultural Empathy and Global-Mindedness”, Doctoral Dissertation, Ball State University, 2010.Klein-Gardner, S. S., Walker, A. “Defining Global Competence for Engineering Students”,Conference Proceedings of ASEE Annual Conference & Exposition, American Society forEngineering Education, 2011.Jesiek, B. K., Woo, S. E., Parrigon, S., Porter, C. M. “Development of a Situational JudgmentTest for Global Engineering Competency”, JEE, 2020, 109, 470-490.Leap, “Assessing Underserved Students’ Engagement in High-Impact Practices”, AAC&U, 2013.[Online]. Available: https://files.eric.ed.gov/fulltext/ED582014.pdf [Accessed November
-test was administered tomeasure students’ prior knowledge at the beginning of semester. Questions on the pretest askedstudents to calculate descriptive statistics, simple probability, and to describe a histogram.Q1. Four students out of 15 are to be selected to participate in a team. How many different teamscan be formed? A) 60 B) 32720 C) 12 D) 1365Q2. There are 52 cards in a deck of cards. If three cards are selected at random, what is theprobability of selecting three hearts from a deck of cards without replacement (13 hearts in adeck of cards)? A) 0.0577 B) 0.0129 C) 0.0156 D) 0.75Q3. Bob rides his bike over 10-mile course 6 days each week. His times for this week
least three measurements areperformed on each sample; the average and standard deviation values are recorded and comparedto values found in the literature.Two types of wear testing equipment (Taber instruments) are used in order to simulate theexposure to environmental conditions that are abrading materials’ surfaces. The equipment istesting materials in accelerated abrasion modes; it also provides the possibility of evaluating thesurface condition changes for the selected polymers and metals. Figure 1 is representing theequipment used for the proposed laboratory experiment: (a) oscillating abrasion tester (Taber,Model 6160) [11] and (b) linear reciprocating abrasion tester (Taber, Model 5900) [12]. (a
, another participant stated that “the ability to tag questions with skills is novel.Displays created also highlight top-level outcomes which are of interest to an instructor. Thesefeatures support UI capabilities which would be a positive aspect to utilize and do so in a directand usable format.” All the participants also stated that they have not seen a similar product orservice [4]-[5].In Figure 4, there are three distinguishable skill acquisition trends which AchieveUp can revealby analyzing the number of students who demonstrated each skill as the course progressed. Forinstance, Figure 4 shows ‘Computational/ Algorithmic Thinking’, ‘Conduct Open-EndedDesign’, and ‘Conduct Tradeoff Analysis (A vs B)’ respectively as three unique
fluctuations. (b) Ear-Clip to read Heart (a) HeartMath emWave Pro pulse data Fig. 2: HeartMath emWave Pro Device As shown in 1, we followed a systematic approach to HRV analysis, incorporating both time-domain andfrequency-domain assessments to elucidate autonomic nervous system dynamics. R ESULTSExperimental analysis As mentioned in the methodology session above, we conducted a detailed analysis of Heart Rate Variability(HRV) metrics to assess the effects of CM-II meditation on stress and heart metrics. Using Python
particular time. Often the coding is conducted on aregular basis (1 second intervals) where the changes in body positioning are identified andrecorded.The problem is that the body may assume a large number of potential positions. The challenge isproviding a means of systematically capturing all the possible positions of the body in a mannerthat is efficient and manageable, which include: (a) total head, (b) face, (c) neck, (d) trunk, (e)shoulder-arm-wrist, (f) hand, (g) hip joint-leg-ankle, and (h) foot [20]. If one could generate acoding system that provided a unique code for each body position and then recoded after achange, the net result of a single code would be a coding system with thousands of possiblevalues. Figure 1 provides an illustration
topic. Faced with this challenge, the authors sought advicefrom an instructional designer and suggested course development via interactive software tomeet our needs. With this, the purpose of this paper is to share the utility, challenges, andopportunities experienced by the authors when using Articulate Storyline 360® [4] (Storyline360) as the authoring tool for a course.Authors’ Guiding Framework for Courseware Development in GeneralTo understand our decision-making about the course in general, we needed to address allnecessary curriculum components and frame the course development process theoretically. Thus,we used Eash’s [5] curriculum components which include: (a) a framework of assumptions aboutthe learner and society; (b) aims and
Annual Conference & Exposition, Seattle, Washington: ASEE Conferences, Jun. 2015.[10] D. H. Uttal et al., “The malleability of spatial skills: A meta-analysis of training studies.,” Psychol. Bull., vol. 139, no. 2, pp. 352–402, 2013, doi: 10.1037/a0028446.[11] S. Sorby and B. Baartmans, “The Development and Assessment of a Course for Enhancing the 3-D Spatial Visualization Skills of First Year Engineering Students,” J. Eng. Educ., vol. 89, Jul. 2000, doi: 10.1002/j.2168- 9830.2000.tb00529.x.[12] Casey, “Spatial ability as a predictor of math achievement: the importance of sex and handedness”.[13] M. B. Casey, E. Pezaris, and R. L. Nuttall, “Spatial ability as a predictor of math achievement: The importance of sex and
successfully used for othercourses with minimal alteration.As this research continues, quantitative and qualitative data will be collected from all threecourses in the form of graded assessments, evaluation of ABET outcomes, and student surveys. Itis anticipated that the analysis of the data collected would give meaningful insight into theeffectiveness of the methods used in these courses.References[1] P. F. Drucker, Innovation and entrepreneurship: practice and principles. New York: Harper& Row, 1985.[2] A. Barucic and B. Umihanic, Entrepreneurship education as a factor of entrepreneurialopportunity recognition for starting a new business. Management, 21(2), pp. 27–44, 2016[3] F. Almahry, A. Sarea, A. Hamdan, and M. Al Mubarak, “The Impact of
Pgenerated a summed score for each student based on their bid for each project using thefollowing parameters and weights (Table 1): Table 1. Algorithm P Variable and weights Variable Parameter Weight Project Priority (p) +100-p Bidding Value (b) +200-b Major aligned (ma)/misaligned (mm) ma = +45; mm = -200 Leadership Style Available (la)/unavailable (lu) la = +20; lu = +0where the major alignment/misalignment is based on requested majors for project and the statedmajor of the student, and the leadership style availability is based on what leadership style shapeshave been assigned to the project
Dewi, H. Anwar Dalimunth and Faadhil, "The Effectiveness of Universal Design for Learning," Journal of Social Science Studies, vol. 6, no. 1, pp. 112-123, 2019.[13] E. Billings and A. Walqui, "Zone of Proximal Development: An Affirmative Perspective in Teaching ELLs," West Ed, NYSE Office of Bilingual Education and World Languages, San Francisco, CA, 2023.[14] V. K. Zaretsky, "One More Time on the Zone of Proximal Development," Cultural-Historical Psychology, vol. 17, no. 2, pp. 37-49, 2021.[15] A. A. Margolis, "Zone of Proximal Development, Scaffolding and Teaching Practice," Cultural- Historical Psychology, vol. 16, no. 3, pp. 15-26, 2020.[16] A. B. A, "From teacher education to practicing teacher: What does culturally
interviews in future trips will bestructured to ensure that younger adults and students are represented, as well as to gatherinformation from older adults regarding their support needs.References[1] E. Tsang, J. Van Haneghan, B. Johnson, E.J. Newman, and S. Van Eck. “A report on service-learningand engineering design: service-learning's effect on students learning engineering design in Introductionto Mechanical Engineering”. International Journal of Engineering Education, 17(1), pp. 30-39, 2001.[2] W. Oakes. Creating effective and efficient learning experiences while addressing the needs of thepoor: an overview of service learning in engineering education. In 2009 Annual Conference &Exposition (pp. 14-381), June 2009.[3] M. Lima. Service-Leaning
.[5] R. J. Haddad and Y. Kalaani, “Cross-Disciplinary Perceptions of the Computational Thinking among Freshmen Engineering Students,” in ASEE Southeastern Section Conference, Gainesville, FL, 12-14 April 2015.[6] F. B. Flórez, R. Casallas, M. Hernández, A. Reyes, S. Restrepo, and G. Danies, "Changing a Generation’s Way of Thinking: Teaching Computational Thinking Through Programming," Review of Educational Research, vol. 87, no. 4, pp. 834– 860, 2017.[7] S. Bell, "Project-based learning for the 21st century: Skills for the future," The Clearing House, vol. 83, no. 2, pp. 39-43, 2010.[8] A. Sahin, "STEM project-based learning: Specialized form of inquiry-based learning," in STEM Project
; Retrieval, pp. 265-268. 2018.18 Parra Pennefather, P. “Generative AI with Personalities”. In: Creative Prototyping with Generative AI. Design Thinking. Apress, Berkeley, CA. 2023 https://doi.org/10.1007/978-1-4842-9579-3_319 Young, Matthew M., Justin B. Bullock, and Jesse D. Lecy. "Artificial discretion as a tool of governance: a framework for understanding the impact of artificial intelligence on public administration." Perspectives on Public Management and Governance 2, no. 4 (2019): 301-313.20 Wright, Steven A. "Measuring DAO Autonomy: Lessons From Other Autonomous Systems." IEEE Transactions on Technology and Society 2, no. 1 (2021): 43-53.21 Storck, Carlos Renato, and Fátima Duarte-Figueiredo. "A survey of 5G technology
a set of guidelines for teaching AI in public schools, andZimmerman outlined lesson ideas for AI and design thinking and project-based Learning forSTEM (Zimmerman 2018). Introductory AI books have been introduced at the middle and highschool levels (Enz 2019a,b; Klepeis 2019b, a). There has also been a focus on teacher professionaldevelopment through workshops incorporating AI concepts into STEM classes for high schoolstudents (Lee and Perret, 2022). Due to the importance and impact of AI in our lives, it is essentialthat any teaching of AI for grades 6-8 aligns with the NGSS (Next Generation Science Standards)and GA (Georgia) standards within the existing curriculum to be effective. © American Society for
rate by topics Topic 1 2 3 4 5 6 7 8 Participation 63.5 63.5 69.2 65.4 55.8 51.9 48.1 53.8 Rate (%)The next question to ask is, who participated in the discussion questions? Were these lower-performing students trying to pass the course, or were they higher-performing students? Table 5shows the average percentage score for five groups of students who earned grades of A-F in thecourse. One does not notice any trend, except that the students who received Ds earned thehighest score. However, that may be skewed because only two (4%) students got a grade of D.Table 5. Participants’ average score by transcript grades Grade A B
York, NY: McGraw Hill. (2007). 4. Cleveland, D., & Ireland, L. R. Project Management: Strategic Design and Implementation. New York, NY: McGraw Hill. (2009). 5. Murphy, C., Allen, D., Allenby, B., Crittenden, J., Davisosn, C., Hendrickson, C., & Mtheus, H. Sustainability in Engineering Education and Research at U.S Universities. Environmental Science & Technology, 5558-5564, 2009, 43(15). 6. Matthew, V., Lipkin-Moore, S., Arce, P. E., Arce-Trigatti, A., Lavoine, N., Lucia, L., Selvi, E., Eggermont, M., Tiryakioglu, M., Hall, J., Edelen, R., & Plumblee, J. A Roadmap for the Design and Implementation of Communities of Practice for Faculty Development. Paper presented at 2022 ASEE Annual