/symptoms/23154-neurodivergent[2] F. Farrant, E. Owen, F. Hunkins-Beckford, and M. Jacksa, “Celebrating neurodiversity inHigher Education,” The Psychologist, May 09, 2022.https://www.bps.org.uk/psychologist/celebrating-neurodiversity-higher-education (accessed Feb.08, 2024).[3] E. L. Dolan, “Course-based undergraduate research experiences: Current knowledge andfuture directions.” Natl Res Counc Comm Pap, 1, 1-34. 2016.[ 4] E. Burns and S. Bell, “Voices of teachers with dyslexia in Finnish and English further and higher educational settings,” Teachers and Teaching, vol. 16, no. 5, pp. 529–543, Sep. 2010, doi: https://doi.org/10.1080/13540602.2010.507964.[5] K. Acton and D. Huijg, “Relaxed Pedagogy: Relaxing Teaching and Learning in
, futurework will require the recruitment of additional people to attain theoretical saturation. Additionalquestions about the concept of a "portal", from a mentor’s point of view, will be addressed in asecond research project once we launch the mentorship initiative in August 2024. Future workwants to provide insight into how academics, life designers, and academic advisors haveinteracted with students' ePortfolios.References[1] S. University, “Stanford folio thinking initiative.” https://stanford.digication.com/foliothinking/Welcome (accessed Jan. 18, 2023).[2] G. Lorenzo and J. Ittelson, “An Overview of E-Portfolios,” Educause, no. July, 2005, [Online]. Available: http://net.educause.edu/ir/library/pdf/ELI3001.pdf.[3] K
displayed images.Four different examples are presented on how to engage students in such a lesson. The studentworksheets for the lessons are found here:https://docs.google.com/document/d/1c9QqL1rZ8EhDILWkolzQz_ni2wUlF8v2/editOne example of the lesson is scenario #1, as follows:A company in Castledale, Utah, buys cocoa beans from Columbia and sugar from Hawaii tomake chocolate candy bars. They make the bars in a manufacturing plant and ship them to storesall across the United States. People love them so much and have bought enough candy bars thatsoon the company will start selling in Canada and Mexico, too.Identify the:Input(s)___________________________________________________Process(es) _______________________________________________Output(s
is to assess the potential impact of interchangingCornerstone systems on student course perception(s) holistically. Preliminary results show that,for the fundamental topic of engineering design, there is a statistically significant differencebetween the rankings of the two cohorts.IntroductionSince the fall semester of 2016, all first-year students at the J. B. Speed School of Engineering atthe University of Louisville are required to take a two-course sequence focused on introduction,practice, and application of fundamental engineering skills. The first course in the sequence(ENGR 110) primarily focuses on introduction and practice. The second course in the sequence(ENGR 111) takes place in a 15,000 ft2 makerspace, is exclusively based in
; levels of inclusion;and social identity Jensen and Cross deployed a validated quantitative instrument to engineeringstudents at three three large U. S. public universities. Their work indicated there wererelationships between the studied constructs – specifically, that reported feelings of stress,anxiety, and depression statistically decreased with increasing reports of inclusion [14].For this research we replicated the work of Jensen and Cross by deploying the same instrumentthey used in our project-based context. Using this instrument, we collected quantitative dataon: • Mental health: self-reported stress, anxiety, and depression • Professional identity: engineering identity and engineering career • Inclusion: department caring
F denote a future experiment, whose outcomes follow a Poisson distribution Po(tλ), andE denote an informative experiment, whose outcomes follow Po(sλ). Let Y be the randomvariable describing the number of occurrences of some phenomenon from experiment F duringthe future time interval with known length t, and X be the random variable describing thenumber of occurrences of some phenomenon from the informative experiment E during thegiven time interval s. Both random phenomena are considered independent and with the sameunknown rate of occurrences λ. We will construct a function (u(X) in frequentist approach, ν*(X) in Bayesian) that takes onlyinteger values and that will serve as an upper bound for the values of the random variable
B. A. Montelone, “KS-LSAMP pathways to STEM: A system approach to minority participation in STEM,” in Proceedings of the American Society for Engineering Education Annual Conference, Seattle, WA, USA, June 14-17, 2015. Available: https://peer.asee.org/24389[2] C. S. H. Kamphoff, Bryant I; Amundsen, Scoot A, Atwood, Julie A, "A motivational/empowerment model applied to students on academic probation". Journal College Student Retention, vol. 8, no. 4, pp. 397-412, 2006.[3] A. Bandura, Self-efficacy: The exercise of control. New York: Freeman, 1997.[4] W. Glasser, Reality therapy in action. New York: HarperCollins, 2000.[5] J. L. Bloom, and N. A. Martin, “Incorporating appreciate inquiry into academicadvising
needed to learn it – giving great potential for engineering education and curriculum impact.References[1] S. Freemanet al., “Active learning increases student performance in science, engineering, and mathematics,”Proc. Natl. Acad. Sci. U.S.A., vol. 111, no. 23, pp. 8410–8415, Jun. 2014, doi:10.1073/pnas.1319030111. [2] N. J. McNeill, E. P. Douglas, M. Koro‐Ljungberg, D. J. Therriault, and I. Krause, “Undergraduate Students’ Beliefs about Engineering Problem Solving,”J. Eng. Educ., vol. 105, no. 4, pp. 560–584, Oct. 2016, doi:10.1002/jee.20150. [3] Miskioğlu, E. E., Aaron, C., Bolton, C., Martin, K. M., Roth, M
] Sanchez-Martin, J., Cañada-Cañada, F., and Dávila-Acedo, M.A. “Emotional responses toinnovative science teaching methods: Acquiring emotional data in a general science teachereducation class.” J. Technol. Sci. Educ. (2018). 8. Pp. 346–359.[4] Khashe, S., Gerber, D.J., Smith, I.F.C. “Surveying the Evolution of Computing inArchitecture, Engineering, and Construction Education since 2012.” J. Comput. Civ. Eng.(2016). 30(6). Pp. 1-12. DOI: 10.1061/(ASCE)CP.1943-5487.0000580[5] Bouchrika, I. “How Google Conquered the Classroom: The Googlification of SchoolsWorldwide in 2024.” (2024). Research.com.[6] Tingerthal, J., Tymvios, N., Mosier, R., Talley, K. “Responding to the COVID Pandemic:Results and Reflections on Round-Table Discussions at ASEE 2020
engineeringprograms. To achieve their goals, Jensen and Cross examined stress, anxiety, and depression;engineering identity; and perceptions of inclusion in undergraduate engineering programs. Theycollected data from student populations at three large U. S. public universities. They hypothesizedthat levels of stress, anxiety, and depression would vary by social identities and that levels ofinclusion and engineering identity would vary by social identities and across socialidentities.To gather data Jensen and Cross relied upon a validated, quantitative survey that had oneopen-ended item. Their findings indicated that perceptions of inclusion and engineering identityare directly related to student mental health – measures of inclusion such as ”Department
high-dimensional data., and (2) these results can be interpreted to developstrategies to improve high school students’ STEM career aspirations and persistence. We hopethis study can inspire more educational researchers to use machine learning algorithms toanalyze big educational datasets.References[1] McCarthy, N. (2017). Recent graduates in STEMM. https://www.industryweek.com/talent/article/21998889/the-countries-with-the-most-stem- graduates Retrieved 23 April 2021.[2] Capraro, R. M., & Han, S. (2014). STEM: The education frontier to meet 21st century challenges. Middle Grades Research Journal, 9(3), XV.[3] Lent, R. W., Brown, S. D., & Hackett, G. (1994). “Toward a unifying social cognitive theory of career and academic
technologies in the data science field. One of the limitations of this study is that it only examined job requirement data fromrepresentative metropolitan cities in each region instead of analyzing the job information for thewhole region. Additionally, further analysis of job requirements in different industries couldoffer in-depth insights into the alignment of data science in education and job requirements.Future studies may reveal whether jobs requiring specific domain expertise require students topursue advanced studies or degrees to meet these specific requirements effectively.6. Work Cited[1]. S. Gottipati, K. J. Shim, and S. Sahoo, "Glassdoor Job Description Analytics–Analyzing Data Science Professional Roles and Skills," in 2021
Education, vol. 148, no. 4, 2022.5. X. Li and W. Zhu, “The influence factors of Students’ transferable skills development in blended-project-based learning environment: A new 3P model,” Education and Information Technologies, vol. 28, no. 12, pp. 16561–16591, 2023.6. M. Abdulwahed, W. Balid, M. O. Hasna, and S. Pokharel, “ Skills of engineers in knowledge based economies: A comprehensive literature review, and model development”. In Proc. of 2013 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), 2013, pp. 759-765.7. H. Bae, M. Polmear, and D. R. Simmons, “Bridging the gap between industry expectations and academic preparation: Civil Engineering Students’ employability,” Journal of Civil Engineering
engineering program. Similarly, Melo etal.’s [5] study explored the lack of recognition multilingual students felt as engineering students,consequently impacting their identity development. Studies like these are particularly importantin for learning how to better support students from minoritized and underrepresentedbackgrounds.There are limitations, however, in their applicability of identity theory particularly where itcomes to understanding young students’ articulation of identity and the ways in which identity isnarrowly operationalized. Specifically, these studies often rely on quantitative or mixed methodsthat, while valuable, only reveal part of students’ developing engineering identity. This limitationis of particular concern when
: University of South Carolina, NationalResource Center for the First-Year Experience and Students in Transition, 2012.[12] K. M. Soria and R. Stubblefield, “First-Year College Students’ Strengths Awareness:Building a Foundation for Student Engagement and Academic Excellence,” Journal of the First-Year Experience & Students in Transition, vol. 26, no. 2, pp. 69–88, 2014.[13] L. B. Nilson, Creating self-regulated learners: strategies to strengthen students’ self-awareness and learning skills. Stylus Publishing: Sterling, Virginia, 2013.[14] S. Y. McGuire and S. McGuire, Teach students how to learn: strategies you canincorporate into any course to improve student metacognition, study skills, and motivation, Firstedition. Sterling, Virginia: Stylus
research thatsenior level students can immerse themselves in to create an innovative and efficient design onthe solar boat. The capstone projects contribute to the overall design and can help lower-levelstudents gain the experience they need to carry out their own capstone project.References[1] Solar Splash Event. Web. Accessed 21 August 2023. www.solarsplash.com/introduction-and-information.[2] Foroudastan, S & Nihill, C., “Experiential Learning Enhances the Knowledge of Future Engineers Through theExperimental Vehicles Program.” Proceedings of the 2017 Conference for Industry and Education Collaboration,American Society for Engineering Education. Proceedings of the 2024 Conference for Industry and Education Collaboration
itemquality indices to inform item selection, as these indices can identify unstable items to some extent. To conclude, our findings suggested retaining items that strongly connect to the specifieddimensions and items that are not too easy for individuals to endorse the high rating scale categories (e.g.,like and strongly like”). Future studies may further explore the relationship between item stability andother item characteristics under different data conditions. ReferencesAbdi, H. (2010). Holm’s sequential Bonferroni procedure. Encyclopedia of research design, 1(8), 1-8.Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2018). Best practices for
of performance. 6 The student researcher(s) will obtain Students prepared a poster and made a technical presentation experience in communicating the results of at the ARLISS competition. Students assisted in preparing a their design efforts. paper to be submitted for presentation at the 2005 ASEE conference. One graduate student defended a thesis on the subject of BalloonSat. 7 The CanSat program will formulate a plan The investigator team has met with representatives from (in coordination with other NV participants) other universities and formulated a plan for
ScienceFoundation.References1. Aslani, P., Griffis, F. H., and Chiarelli, L. (2009). “Building information model: The role and need of the constructors.” 2009 Construction Research Congress, Seattle, WA, pp. 467-476.2. Bae, J.-W., and Kim, Y.-W. (2009). “Assessing the environmental impacts of lean supply system: A case study of rebar supply in high-rise condominium construction projects.” 2009 Construction Research Congress, Seattle, WA, pp. 1009-1018.3. Barak, R., Jeong, Y.-S., Sacks, R., and Eastman, C. M. (2009). “Unique requirements of building information modeling for cast-in-place reinforced concrete.” Journal of Computing in Civil Engineering, 23(2), pp. 64-74.5. Berwald, S. (2008). “From CAD to BIM: The experience of architectural education with
asked to evaluate the usefulness of theresearch using the aforementioned scale. Of the three EEWIE women who joined the RocketOwls, two students responded Strongly Agree and one student responded Not Applicable. Whenask to analyze the High Altitude Balloon (HAB) project, two students responded Strongly Agreeand one student responded Not Applicable. It can be assumed the student/s that responded “NotApplicable” were not members of the project, but responded to the question. The results fromthe survey indicate that projects had a positive influence on the students’ success.In general, undergraduate research has been shown to positively impact engineering and scienceeducation14. Though not specific to retention of students, the study shows that
. Reis, "Production Programming in the Classroom", Proceedings of the ACMSIGCSE Conference, Reno, Nevada, February 2003.[2] S. Gorka, J. Miller, B. Howe, "Developing Realistic Capstone Projects in Conjunction with Industry", Proceed-ings of the ACM SIGITE Conference on Information Technology Education, Destin, Florida, USA, October 2007.[3] D. Lange, R. Ferguson, P Leidig, "An Update on the Use of Community-Based Non-Profit Organizations in Cap-stone Projects", Proceedings of the ACM SIGCSE Conference on Innovation and Technology in Computer ScienceEducation, Darmstadt, Germany, June 2011.[4] M. Murray, "Implementing a Software Development Production Environment for Student Use: Advantages andChallenges", Journal of Computing Sciences in Colleges
faculty to TEACH them. There has been a rejection on the part ofthe students of ownership or responsibility for the learning process. The common complaintamong faculty is that the students seem to retain less and their ability to perform critical thinkingwith the material they retain is greatly diminished compared to students 20 years ago.This increased focus in the engineering educational system on learning styles has been paralleledby a growing phenomenon in the lower educational levels; home schooling. It is suggested thatit might be profitable to look to the home school community when considering this conundrum.In the early 1980’s, the general public had not heard of home schooling. Today home schoolingis a widely used and growing educational
- 0.1083 -2 R² = 0.9953 -2.5 -3 -3.5 -4 -4.5 Time, s Figure 5. Height Measurements with Time as the Feed Reservoir DrainedData ReductionExperimental Velocity through the ThroatThe velocity through the throat was calculated by dividing the volumetric flow rate from the feedreservoir by the cross-sectional area of the reservoir. The areas of the feed reservoir and venturithroat
workshops and curriculum guides can support the integration of technology and careerlearning into classroom science instruction. Encounters with working engineers, whether byvideo or in-person, provide the expertise and real world context necessary for raising engineeringcareer awareness in students and teachers. Overall, this pilot study supports conclusions thatvideo instruction can be beneficial and time effective ways for engineers to communicate theirwork for broader impacts in elementary school settings (Colston et al., 2017; Laursen &Brickley, 2011).ReferencesBrophy, S., Klein, S., Portsmore, M., & Rogers, C. (2008). “Advancing engineering education in P-12 classrooms.” Journal of Engineering Education, 97(3), 369–387. 10.1002/j
Materials in particular. A web based app that does not requireinstallation and could be reached from any device seems to be a convenient option.AcknowledgmentThis research is supported by the Center for Educational Research and Teaching Innovation(CERTI) at Missouri university of Science and Technology (Missouri S&T). The author thanksDiane Hagni, Angie Hammons, and Razmus Kerwin for their support in conducting this research.The author would like to thank Iman Mehdipour, a graduate student at Missouri S&T for hisvaluable contribution in analyzing the collected raw data as well as Jesse Serrano III, anundergraduate student at Missouri S&T for his help on developing instructional documents.Special thanks goes for Dr. Tim Philpot and Dr
Mechanical Engineers(ME 335) at a moderate sized research university in the Midwest U.S. ME students take this coursein their sophomore year. In spring 2017, students in this course have been given a couple ofintroductory lectures on modeling and simulation techniques using ADAMS software. Thissoftware is used in many industries for multi-body dynamics, crash and safety and othersimulations and is freely available for students. ADAMS based semester long projects weredesigned to accommodate ME 335 course contents and that outside of the students’ major(s) toinvolve real product operation cycles and to promote undergraduate research in engineering (URE)and self-directed learning readiness (SDLR). A dynamic rubric is also designed to empowerlearners to
semester (Fall 2008) utilizing the non-parametric Kolmogorov-Smirnov (K-S) two-sample test10 with no statistically different detected (D=0.15 with p=0.8).This result confirmed the original Kruskal-Wallis analysis on all three solo semester scores.Since the lab practicum score for the three solo semesters were not statistically different, theywere combined into a single distribution of lab practicum scores for the solo group. Thestatistical parameters for the lab practicum scores from the combined control semesters andcombined solo semesters are summarized in Table 1. Group Minimum 1st Quartile median mean 3rd Quartile Maximum n Control 0.0 32.5 53.5 53.9
this need. Within the Sligo programme however, there asan obvious absence of engineering-based module(s). The topics covered in two courses atVillanova (CHE8588 and CHE8589), delivered via DE, were deemed to adequately provide thisengineering element to the Sligo curriculum.Other benefits of merging the graduate students from Villanova and Sligo in these two Villanovacourses were identified, such as: • Cross cultural interactions – through the in-class discussion and out-of-class group projects that these classes employ, there is the potential for exchange of different approaches and perspectives on the value and availability of new bioprocess technology and biotechnology products (i.e. drugs, sensors etc
, Murray B, Marinello S. RR Interval Analysis for Detection of Atrial Fibrillation in ECG Monitors. 30th Annual International IEEE EMBS Conference, Vancouver, 2008. 5. Khan MG. Rapid ECG Interpretation. 3rd Ed. Totowa: Humana Press. 6. Sornmo L, Stridh M, Husser D, Bollmann A, Olsson SB. Analysis of Atrial Fibrillation: from electrocardiogram signal processing to clinical management. Philosophical Transcactions of The Royal Society, 2008. 7. Chang PC, Hsieh JC, Lin JJ, Yeh FM. Atrial Fibrillation Analysis Based on Blind Source Separation in 12- Lead ECG Data. ICMB, (2010):286-295. 8. Weissman N, Katz A, Zigel Y. A New Method ofor Atrial Electrical Activity Analysis from Surface ECG Signals Using