), Moderately True (3), and Exactly True (4)] with a sum score for the whole measure. TheAGQ-R [21] is on a Likert scale from 1-5 [Strongly Disagree (1) to Strongly Agree (5)]. Eachgoal orientation is the sum of three specific questions associated with it (mastery-approach: 1, 3,7; mastery-avoidance: 5, 9, 11; performance-approach: 2, 4, 8; and performance-avoidance: 6,10, 12). The Metacognitive Self-Regulation Measure of the MSLQ [24] is on a scale from 1-7[Not true at all of me (1) to Very true of me (7)]. The scores for the MSLQ are then averaged.Students completed the measures towards the end of the course, and the study was approved bythe International Review Board (IRB).ResultsTo better understand the manner in which students report their
averagepassenger car. Furthermore, an electric vehicle using average electricity is almost 30% cleanerover its life cycle compared to even the most efficient internal combustion engine vehicle on themarket [6]. Fig. 2. Lifecycle emissions of electric and conventional vehicles in Europe in 2015 [6]. To understand the impact of EV charging on stability and control of the power grid, thetechnology of the vehicle and charging infrastructure needs to be understood. The functional blockdiagram of a series hybrid electric vehicle (HEV) is presented in Fig. 3, where M s, Ma, Jtotrespectively, denote the load torque (Nm), active torque (Nm), and total inertia (kgm2). The maincomponents of the system are the electric motor, which drives the wheels (it can
computer-supported research and learning systems, hydrology, engineering education, and international collaboration. He has served as a PI or co-PI on 16 projects, funded by the National Science Foundation, with a $6.4 million research funding participation from external sources. He has been directing/co-directing an NSF/Research Experiences for Undergraduates (REU) Site on interdisciplinary water sciences and engineering at VT since 2007. This site has 95 alumni to date. He also leads an NSF/Research Experiences for Teachers (RET) site on interdisciplinary water research and have 10 alumni. He also leads an NSF-funded cybersecurity education project and serves as a co-PI on two International Research Experiences for
as an Assistant Systems Engineer from 2011–2012 in India. He has worked as an Assistant Professor (2014–2018) in the department of Electrical and Electronics Engineering, KLE Technological University, India. He is a certified IUCEE International Engineering Educator. He was awarded the ’Ing.Paed.IGIP’ title at ICTIEE, 2018. He is serving as an Associate Editor of the Journal of Engineering Education Transformations (JEET). He is interested in conducting engineering education research, and his interests include student retention in online and in-person engineering courses/programs, data mining and learning analytics in engineering education, broadening student participation in engineering, faculty preparedness in
/10.1016/j.knosys.2020.106622. 3. LANDGUTH, E.L., CUSHMAN, S.A. and JOHNSON, N.A. (2012), Simulating natural selection in landscape genetics. Molecular Ecology Resources, 12: 363-368. https://doi.org/10.1111/j.1755- 0998.2011.03075.x 4. Burgsteiner, H., Kandlhofer, M., & Steinbauer, G. (2016). IRobot: Teaching the Basics of Artificial Intelligence in High Schools. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9864 5. Maind, Sonali B., and Priyanka Wankar. "Research paper on basic of artificial neural network." International Journal on Recent and Innovation Trends in Computing and Communication 2.1 (2014): 96- 100. 6
upon the steps we have taken toidentify this model, we plan to examine patterns of students changing mindset, especially growthduring design course experiences.References[1] International Technology and Engineering Educators Association, Standards for technological and engineering literacy: The role of technology and engineering in STEM education, 2020. [Online]. Available: https://www.iteea.org/STEL.aspx[2] ABET Engineering Accreditation Commission, "Criteria for accrediting engineering programs," Accreditation Board for Engineering and Technology (ABET), Baltimore, 2016. [Online]. Available: http://www.abet.org/accreditation/accreditation-criteria/[3] D. P. Crismond and R. S. Adams, "The informed design
in an international contextand provides a case study for the international dissemination of educational standards inengineering.IntroductionAs problem-solving skills are considered the essential element of ABET accreditation criteria,the authors redesigned an experimentation course in a technology institute in northern Chinato support the program accreditation and improve engineering graduates’ problem-solvingskills.The core idea of the redesign is to improve problem-solving skills and other necessary skills,such as technical communication and practical operation, through completing an authenticengineering project. While the redesigned course is contextualized inside a project-basedframework, Problem-Based Learning (PBL) is the signature
reasoning in interpreting simulated 3D worlds. Int. Journal of Computers for Mathematical Learning, Vol. 7, No. 3, pp 301-318.3. Juarez-Espinosa, O., Hendrickson, C., and Garrett, J. (2000). Using visualization for teaching. Proceedings of SPIE The International Society for Optical Engineering, v 3960, pp 86-95.4. Williams, R, (2009). Visual Learning Theory http://www.aweoregon.org/research_theory.html.5. Rodger et.al. (2009). Engaging Middle School Teachers and Students with Alice in a Diverse Set of Subjects.SIGCSE09, March 3-7, 2009.6. https://mechanicalc.com/reference/beam-deflection-tables.7. A Review Paper on Fin Efficiency Enhancement by International Journal of Trend in Scientific Research and Development
Annual Conference, 2016.[4] S. L. Rodriguez, C. Lu, and M. Bartlett, "Engineering Identity Development: A Review of Higher Education Literature,"International journal of education in mathematics, science and technology, vol. 6, no. 3, p. 254, 2018, doi:10.18404/ijemst.428182.[5] L. Perez-Felkner, C. Shore, T. Dickens, and M. D. Yang, "Engineering Resilience through Research Mentorship:Manufacturing Pathways to Careers," in American Society for Engineering Education, Virtual On-line, 2020: Papers onEngineering Education Repository (PEER), pp. 1-15, doi: 10.18260/1-2--34557. [Online]. Available: https://peer.asee.org/34557[6] A. O. Hinton et al., "Patching the Leaks: Revitalizing and Reimagining the STEM Pipeline," Cell, vol. 183
- Based Physics Critical Thinking Skill Test: A CAT to Answer 21st Century Challenge,”10 International Journal of Instruction, 12(4), 267–280. 2019. https://doi.org/10.29333/iji.2019.12417a[2] R. Daphine, P. Sivakumar, and S. Selvakumar, S. “A study on student’s Attitude towards online Computer Adaptive Test (CAT) in Physics Education through Observation Schedule,” Journal of Xidian University, 14(5), pp.4703-4708. 2020.[3] H. Wainer, Computerized adaptive testing: A primer, 2nd ed. Mahwah, NJ: Erlbaum, 1998. https://psycnet.apa.org/record/2000-03637-000[4] J. W. Morphew, J. P Mestre, H. A. Kang, H.-H. Chang, and G. Fabry, “Using computer adaptive testing to assess physics proficiency and improve exam performance in an
Paper ID #37469Exploring Mechanical Engineering Students’ Perceptions of Preparednessfor WorkNosakhare Iyobosa Idiaghe, University of Nebraska, Lincoln Idiaghe Nosakhare is a PhD Student of Engineering Education Research at University of Nebraska, Lin- coln. He holds a Masters degree in Industrial Engineering and a Bachelors degree in Petroleum Engineer- ing.Mr. Yashin Brijmohan, University of Nebraska, Lincoln Yashin Brijmohan is a registered professional engineer who is currently appointed as Chairman of Engi- neering Education Standing Technical Committee of the Federation of African Engineering Organizations
Chair and Co-Chair for 12 international conferences. For recognition of my research activities, I have been invited to a number of international conferences as Invited Speaker, chaired panel discussions and numerous international conference sessions. I have served on more than 200 international conference program committees. Furthermore, I have published number of articles in peer- reviewed international journals and conferences. I am also an active member of ACM, ASEE, ASEE/PSW and CSAB.Mrs. Catrina Ann ShanasMs. Ashley Pratt, National University Ashley Pratt was born in Fontana, California and from an early age she had high expectations for herself. One of her first career aspirations was to be an astronaut, she
adaptivetest, meaning that a student’s answers to initial questions were used to tune the difficulty ofsubsequent questions. It also allowed students to go back to questions they had skipped, orchange their answers to previously completed questions [3].The GRE’s aim is honorable: to provide an objective estimate of a student’s readiness forgraduate study. But it has come under fire for a perceived tendency to decline or discourageapplications from racial minorities and lower socio-economic status students. A number ofresearch studies have examined questions like whether the GRE actually provides an objectivecomparison, whether students can get an unfair advantage from test-preparation services, orwhether the GRE has predictive validity; that is
sustainability. ©American Society for Engineering Education, 2024 Infusing Sustainability Into Diverse Courses and Programs Using Open Source Engineering for One Planet (EOP) Teaching ResourcesIntroductionClimate change, pollution, environmental toxicity, and biodiversity loss are among our mostpressing challenges today [1], [2]. These challenges can be addressed or exacerbated throughengineering activities, leading industry and agencies to increasingly seek engineers who are aswell-versed in technological expertise as they are in social and environmental sustainability andclimate action [3], [4], [5]. However, engineering students are not typically graduating with theskills, knowledge, and experiences needed to
2018, 62% in 2019 and 60% in 2020 (Fig. 2). Given that EBS 1 in a lower division courserequirement for the major, it is surprising that some students were taking the course in their junior orsenior year with 8% in 2017; 14% in 2018, 23% in 2019 and 20% in 2020 planning to graduate in the nextyear or two. Relatively few students, 3% in 2018, planned to graduate in five years.Figure 2: EBS 1 respondents (n =123) self-reported plans on the number of additional years required tocomplete their undergraduate degree, in response to the question “What is your estimated graduationyear?” The years listed are relative to the year the survey was taken to provide comparable informationacross the four years of survey data. The year the survey was taken is
within academic structures such as departmental siloing andconflicts in policies, procedures, and budget models across disciplines that often impinge uponinterdisciplinary student development [1][2][3].Previous findings based on faculty perspectives on facilitating interdisciplinary programs revealthe ways in which multiple differentiated layers of the academic environment impact graduatestudent development, but students’ perspectives have often been left out, leaving an incompletepicture. Additionally, existing literature tends to focus on levels of the academic environmentthat students interact with directly, with less attention to external influences at or beyond theinstitutional level that are also relevant to the interdisciplinary graduate
. English. "Graduate students' exit from STEM fields: Amultilevel examination of individual and institutional factors". Journal. Research in HigherEducation Volume: 58 Issue: 6, 2017, 615-642 Publisher: Springer DOI:10.1007/s11162-017-9467-9.Huerta, A., & Klein, S. (2018). Intersectional mentoring: Enhancing the effectiveness ofmentoring programs for underrepresented students in STEM. Advances in EngineeringEducation, 4(2), 1–18.Kelley, T. R., & Knowles, J. G. (2016). A conceptual framework for integrated STEMeducation. International Journal of STEM education, 3, 1-11.Lapointe AE, Mead NA, Phillips GW (1989) A world of difference: An internationalassessment of mathematics and
thermodynamics recitations, students were first grouped based on their beginning-of-term(BoT) GPA. Then, white men, women, international, and Hispanic/Latino students were groupedtogether into separate groups. This study involved 23 undergraduate students comprising six ofthe mentioned groups. Of these, the first four groups had a minimum average GPA of 3.9 andconsisted of 1) four white men, 2) four women, 3) three international and two unknown minoritystatus students, 4) one Hispanic/Latino student and two white students. These groups are referredto as the 4.0 students for this study. The other two groups included 1) two Hispanic/Latinostudents and one student of two or more races with an average GPA of 3.46 and 2) threeHispanic/Latino students and one
the engineering classroom butthere are some important published works leading the charge [4, 5, 6]. There are many unansweredquestions about the best approaches, strategies, and programs that can be implemented inengineering education [1]. This work aims to offer a strategy to naturally incorporate DEI inengineering first-year design classrooms.MethodologyThe main goal of this module is to use the KEEN framework [3] to incorporate the 3C’s which arecuriosity, connections, and creating value in a lesson that reinforces the design for additivemanufacturing guidelines that are taught in most engineering schools. At the beginning of themodule the following learning objectives were clearly stated by the instructor, who is one of
System. Dr. Nelson’s primary technical research interest is the behavior of structural systems. For almost 25 years he has been actively involved in evaluating the behavior of free-fall lifeboats and the development of analytical tools to predict that behavior. His research has formed the basis for many of the regulations of the International Maritime Organization for free-fall lifeboat performance. Since 1988, Dr. Nelson has served as a technical advisor to the United States Delegation to the International Maritime Organization, which is a United Nations Treaty Organization. In that capacity, he is a primary author of the international recommendation for test- ing free-fall lifeboats and many of the international
Engineering Ethics. His research and teaching interests include engineering ethics, moral psychology, philosophy of technology, Chinese philosophy, political philosophy, and contempo- rary European philosophy. Rockwell completed his PhD at Purdue University, West Lafayette, MA at the Katholieke Universiteit, Leuven, Belgium, and BA at Fordham University, New York.Dr. Horst Hohberger, University of Michigan - Shanghai Jiao Tong University Joint Institute Dr. Horst Hohberger is an Associate Teaching Professor for Mathematics at the UM-SJTU Joint Insti- tute (JI) and also serves as the Faculty Advisor for International Programs. He received his Ph.D. from the University of Potsdam, Germany in 2006. His research interests include
Electronics Engineering, KLE Technological University, India. He is a certified IUCEE International Engineering Educator. He was awarded the ’Ing.Paed.IGIP’ title at ICTIEE, 2018. He is serving as an Associate Editor of the Journal of Engineering Education Transformations (JEET). He is interested in conducting engineering education research, and his interests include student retention in online and in-person engineering courses/programs, data mining and learning analytics in engineering education, broadening student participation in engineering, faculty preparedness in cognitive, affective, and psychomotor domains of learning, and faculty experiences in teaching online courses. He has published papers at several
Analytics, vol. 3, no. 3, pp. 9–45, 2016.[14] G. N. Svarovsky, “Exploring complex engineering learning over time with epistemic network analysis,” Journal of Pre-College Engineering Education Research (J-PEER), vol. 1, no. 2, p. 4, 2011.[15] L. Calvet Linan and A. A. Juan Perez, “Educational data mining and learning analytics: differences, similarities, and time evolution,” International Journal of Educational Technology in Higher Education, vol. 12, no. 3, pp. 98–112, 2015.
innovation,” Bioinspiration and Biomimetics, vol. 1 no. 1, pp 1-12, Mar. 2006. doi: 10.1088/1748-3182/1/1/P01.[2] J.M. Benyus, Biomimicry: Innovation Inspired by Nature, New York: Perennial, 2002.[3] J. Hwang, Y. Jeong, J.M. Park, K.H. Lee, J.W. Hong, J. Choi, “Biomimetics: forecasting the future of science, engineering, and medicine,” International Journal of Nanomedicine, vol. 10, pp. 5701–5713. Sept. 2015. doi: 10.2147/IJN.S83642[4] J.K. Nagel, R. Pidaparti, C.S. Rose, and C.L. Beverly, “Enhancing the Pedagogy of Bio- inspired Design in an Engineering Curriculum” in 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, June 2016. doi:10.18260/1-2--28480[5] J.L. Barnes, M.J. Dyrenfurth, and S.K. Barnes, “Developing
Outreach, vol. 4, no. 3, 2021.[2] L. Tsui, “Effective Strategies to Increase Diversity in STEM Fields: A Review of the Research Literature,” Journal of Negro Education, vol. 76, no. 4, pp. 555–581, 2007.[3] R. J. Gill, “Graduate Employability Skills through online internships and projects during the COVID-19 pandemic: An Australian example.,” Journal of Teaching and Learning for Graduate Employability, vol. 11, no. 1, pp. 146–158, 2020.[4] L. Bayerlein and D. Jeske, “The potential of computer-mediated internships for Higher Education,” International Journal of Educational Management, vol. 32, no. 4, pp. 526– 537, 2018.[5] H. Stoeger, X. Duan, S. Schirner, T. Greindl, and A. Ziegler, “The effectiveness of a one-year
undergo attrition each year.Instructors used an analytic rubric derived from the KEEN framework and scored studentbehavior on an entrepreneurially-themed case study from the Higher Education Website. Thiscase study [11] illustrates elements of entrepreneurship in engineering and traces the start-up of acompany providing mountain bike parts launched by two engineering graduates that areconcurrently undertaking PhD research. The rubric was used to score student performance on thecase study in five outcomes along a 4-point scale (1 = Not Evident, 2 = Emerging, 3 =Developing, and 4 = Mastering): (1) Define problems, opportunities, and solutions in terms ofvalue creation; (2) Assess risk; (3) Anticipate technical developments by
Technologies at XXXXX, and to thetechnicians from the Physics Laboratory at XXX.References[1] Lamproulos et al. 360-degree video in education: An overview and a comparativesocial media data analysis of the last decade. Smart Learn. Environ., 8(20), 1-16. 2021.Available: https://doi.org/10.1186/s40561-021-00165-8 [Accessed Nov. 14, 2024].[2] Sviridova et al. (2023). Immersive technologies as an innovative tool to increaseacademic success and motivation in higher education. Front. Educ., 8, 1192760. 2023.Available: https://doi.org/10.3389/feduc.2023.1192760 [Accessed Nov. 14, 2024].[3] Broeck et al. It's All Around You: Exploring 360° Video Viewing Experiences onMobile Devices. In Proceedings of the 25th ACM International Conference onMultimedia (pp. 1
help them proofread their essays.” 3. “I feel like her main challenge was her confidence in the process. I think she has an idea now of what she needs to do and is making progress in taking those steps for her future. Prior to this, she knew that she wanted to do more, but she was not sure what, or how to take those first steps. She has made great progress in the last few months.” 4. “More involved towards the end of the program, more initiative and mature decisions were demonstrated.” 5. "I observed a very positive change in my mentee, at the beginning of the sessions, my mentee did not have a strong idea about how to approach his application packet, and gradually, after the
serving as the Chair of the Society of Automotive Engineers (SAE) Road Vehicle Aerodynamics Forum Committee, a committee responsible for developing and maintaining SAE standards, technical papers, and special publications related to road vehicle aerodynamics and wind noise performance and test techniques. He is a member of UNC Charlotte Military Affairs Committee. In addition to the SAE International, he is an active member of various professional societies, such as the American Institute of Aeronautics and As- tronautics (AIAA), American Society of Mechanical Engineers (ASME), American Society for Engineer- ing Education (ASEE), and American Physical Society. He is a member of the AIAA Turbulence Model Benchmarking
revolves around understanding Cognitive Engagement Analysis, Assessing Methods in Engineering Education, and Facial Expressions (emotions) in the Learning process. He is a member of various technical committees, serving as a reviewer for esteemed journals and international conferences including ASEE and IEEE Transaction on Education. His commitment to advancing education, paired with his extensive academic and professional experiences, positions him as a promising researcher in engineering education.Dr. Oenardi Lawanto, Utah State University Dr. Oenardi Lawanto is a professor in the Department of Engineering Education at Utah State University, USA. He received his B.S.E.E. from Iowa State University, his M.S.E.E. from