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problems solved in the programming 230 2.91 0.86 1 4assignments were interesting to me.Treatment Group 118 51.30* Sample included all students who completed the follow-up survey (n = 230)a Standard deviation of sampleThe histogram of residuals appeared approximately normal for both regressions. The Q-Q plotssuggested no severe departure from normality. The scatter plot of standardized residual bystandardized predicted showed mild heteroscedasticity in that negative standardized predictedvalues had associated positive standardized residuals and positive standardized predicted valueshad associated negative standardized
0.85 0.83 0.86 0.89 0.0317 0.46 0.46 0.51 0.46 0.45 0.44 0.45 0.47 0.51 0.56 0.47 0.36 0.48 0.5 0.47 0.0518 0.26 0.32 0.42 0.31 0.27 0.25 0.24 0.25 0.3 0.32 0.27 0.26 0.31 0.24 0.29 0.0519 0.27 0.23 0.24 0.3 0.28 0.28 0.22 0.22 0.33 0.25 0.26 0.23 0.3 0.36 0.27 0.0420 0.26 0.28 0.29 0.23 0.3 0.19 0.15 0.3 0.31 0.21 0.26 0.3 0.19 0.27 0.25 0.05Table 3 - ENGINEERING ASSESSMENT Question Response Distribution Q 2013 2012 2011 2010 2009 2008 2007 AVE STDV 1 0.61 0.65 0.63 0.73 0.66 0.73 0.66 0.67 0.05 2 0.30 0.32 0.30 0.27 0.28 0.27 0.24 0.28 0.03 3 0.61 0.63 0.71 0.55 0.57 0.62 0.63 0.62 0.05 4
% ofstudents attended regularly. The rate of D’s, F’s, Q drops and withdraws (DFWQ rates) for SIstudents was 2.8% in fall 2020, compared to a 9.1% DFWQ rate for SI students in fall 2019. SIstudents who had less programming experience (potentially through systemic educationalinequities) than their advantaged counterparts, also had statistically significant higher courseGPAs when compared to non-SI students who had the same prior experience. The teamdetermined several emerging themes from the survey and interview responses, such as aburgeoning sense of community, comfort with peers over time, accountability and structure, andan awareness of SI session activities as diverse and different than other learning experiences. Wehypothesize these all had strong
? *Q#T - Traditional instruction mode; Q#V - Virtual instruction mode Figure 1. Survey Results © American Society for Engineering Education, 2021There was no overwhelming consensus since only 50% of participants appreciated the overallcourse design and project alignments. Of all the projects, most students enjoyed working on thewind turbine project in mechanical engineering. Table 1. Understanding of Major Questions 2019 2020 Before Now Before Now
CBIE course (14 CBIE-Civil), and 15students fully completed the survey in the PBIE course (all civil engineering majors). Surveyswere discarded if not fully completed. Tables 2 and 3 show the demographics, college majordistribution, and SAT V+Q scores of the students in the PBIE and CBIE courses.Table 2. Demographics of survey respondents: gender, race, and age Course Gender Race/Ethnicity Age (N=Pre/Post) Asian/Pacific African Male Female Hispanic White 18-24 25-34 35+ Islander American CBIE 58.4% 41.6% 11.0% 17.2
scheduling and associated modifications asneeded. The acceptance letter also included anticipated benefits and commitments, such as: Participating in STRIDE sessions held once a week Reflecting once a month through an electronic journal guided by instructors Attending meetings for a professional group of your choice recommended by instructors Receiving training on peer mentoring for future STRIDE cohorts Demonstrating the use of recommended study methods weekly, for example, through display of out-of-class notes and Q&A with instructor on notes and weekly schedule.It was also explicitly highlighted that there was no cost to students to participate in the program,and contact
, 2013.[5] Matthews, M. (2018). Keeping students in Engineering: A research-to-practice brief [Editorial]. ASSE, Retrieve from https://www.asee.org/retention-project/keeping-students- in-engineering-a-research-guide-to-improving-retention.[6] Teller, P. J. and Gates, A. Q., “Using the Affinity Research Group Model to Involve Undergraduate Students in Computer Science Research”, Journal of Engineering Education, vol. 90, pp. 549–555, 2001.
technical symposium on Computer scienceeducation. ACM, New York, NY, pp. 402-406, 2008.[4] S. Lee, S. Kastner, and R. Walker. “Mending the Gap, Growing the Pipeline: Increasing Female Representationin Computing,” in Proceedings of the 2013 ASEE Southeast Section Conference, Gainsville, FL, 2015.[5] G. Skelton, Q. Pang, W. Zheng, and H.R. Shih. “Using robotics for teaching critical thinking, problems solvingand self-regulated learning for freshmen engineering students,” in Proceedings of 2011 ASEE Annual Conference &Exposition, Vancouver, BC, Canada, 2011.[6] T. S. Hall and P. W. Munger. “Integrating robotics into first-year experience courses,” in Proceedings of 2011American Society for Engineering Education Southeastern Section Annual Meeting
Imaging,” in Proceedings of the 36th International Conference on Software Engineering, Hyderabad, India, 2014, pp. 378–389.[2] R. Ellis, The Study of Second Language Acquisition. Oxford University Press, 1994.[3] S. D. Krashen, Second language acquisition and second language learning. Oxford: Pergamon Press, 1981.[4] K. J. Krahnke, “Principles and Practice in Second Language Acquisition,” TESOL Q., vol. 17, no. 2, pp. 300–305, Jun. 1983.[5] S. D. Krashen and T. D. Terrell, The Natural Approach: Language Acquisition in the Classroom. The Alemany Press, 1983.[6] J. N. Williams, “Memory, Attention, and Inductive Learning,” Stud. Second Lang. Acquis., vol. 21, no. 1, pp. 1–48, 1999.[7] C. Frederick and L. Sun, “Work in Progress
. The Chemistry in Engineering lectures 50 minuteslong twice a week and are mandatory. The Chemistry Preparation lectures are only mandatory ifthe student has not yet learned the ALEKS® topics in the current objective. Each ChemistryPreparation lecture is held 12 - 24 hours before the ALEKS® objective deadline. Lectures focuson problem-solving strategies and Q&A for problem types encountered in ALEKS®.Motivation Research ProcedureMotivation is important as it plays an important role in students’ conceptual change processes,critical thinking, learning strategies, and science learning achievement [9]. A survey has beendeveloped to measure students' motivation toward chemistry learning (Appendix A). Backgroundquestions (Q1-3) are used to gain
Opportunities to Excel (PROPEL) center atColorado State University - Pueblo. The authors gratefully acknowledge the assistance of theentire Faculty at the Department of Engineering in developing the sustainability module.Bibliography1. Allen, D., et al. (2008). “Benchmarking sustainable engineering education: Final report.” Grant X3-83235101- 0, U.S. Environmental Protection Agency, Washington, DC. Page 23.726.92. Zhang, Q., Zimmerman, J., Mihelcic, J., and Vanasupa, L. (2008). “Civil and environmental engineering education (CEEE) transformational change: Tools and strategies for sustainability integration and assessment in
readily available. m. The information I received about the activity before it began helped me to participate successfully. n. This activity was well organized. o. This activity should be continued. p. My participation in this activity led me to a better understanding of engineering. q. My participation in this activity led me to a better understanding of my own career goals. r. My participation in this activity makes me more confident in my ability to succeed in engineering. Five-point scale ranging from “strongly
(SIGCSE), ACM, 2005.3. Guzdial, Narrating Data Structures: The Role of Context in CS2, The Journal of Educational Resources in Computing (JERIC), ACM, 2008.4. Eric Freudenthal, Mary K. Roy and Ann Q. Gates, Work in Progress – The Synergistic Integration of an Entering Students Program with an Engaging Introductory Course in Programming, Proc, Frontiers in Education, Fall, 2009..5. Eric Freudenthal, Mary K. Roy, Alexandria Ogrey, Tanja Magoc, and Alan Siegel, A Computational Introduction to Computer Science, Proc. Annual Symposium of the Special Interest Group on Computer Science Education (ACM SIGCSE), 2010.6. Hestenes, Wells, and Swackhamer, Force Concept Inventory, The Physics Teacher, Vol. 30, March 1992
, pp. 1–7, 2013.[2] S. Provasnik, A. KewalRamani, M. McLaughlin Coleman, L. Gilbertson, W. Herring, and Q. Xie, “Status of Education in Rural America,” Washington, DC, 2007.[3] J. J. Versypt and A. N. Ford Versypt, “Mapping Rural Students ’ STEM Involvement : Case Studies of Chemical En- gineering Undergraduate Enrollment in the States of Illinois and Kansas Mapping Rural Students ’ STEM Involvement : Case Studies of Chemical Engineering Undergraduate Enrollment in t,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2013.[4] L. Zahedi, M. Ross, and J. Batten, “Pathways and Outcomes of Rural Students in Engineering," no. June 2019.[5] K. M. Ganss, “The college transition for
? knowledge? Students Engr Prof Math ProfFigure 2. Frequency and effectiveness of collaborative work in a study group.(1 = none or not effective, and 4 = tremendously, all homework, or extremely effective)Finding #3: Perceived effectiveness of instructional methods (Q10-Q13) Page 25.267.13What do the students think about the instructor’s teaching strategies and characteristics?During the class, the engineering professor observed the math professor using severaleffective instructional methods – e.g., having a Q/A session in the beginning of eachclass, providing warm-ups exercises, showing a sense of humor, and having
, Apr. 2014, doi: 10.19173/irrodl.v15i2.1778.[11] L. Watts, “Synchronous and Asynchronous Communication in Distance Learning: A Review of the Literature,” Q. Rev. Distance Educ. Charlotte, vol. 17, no. 1, pp. 23-32,56, 2016.[12] M. M. M. Abdelmalak, “Web 2.0 technologies and building online learning communities: students’ perspectives,” Online Learn. J. OLJ, vol. 19, no. 2, pp. 87-, Mar. 2015.[13] “70019_Mertler_Chapter_7.pdf.” Accessed: Feb. 19, 2021. [Online]. Available: https://us.sagepub.com/sites/default/files/upm-binaries/70019_Mertler_Chapter_7.pdf.[14] S. L. Walker and B. J. Fraser, “Development and Validation of an Instrument for Assessing Distance Education Learning Environments in Higher Education: The Distance
handling and coping skills. The informal gathering took place in fun places in campus, the bowling arena and pooltablezone, where food, drinks, and opportunity drawings were gifted to the students. The workshopsfor on-campus resources, time management and financial planning took place in differentmonths, at least one month appart, at different hours of the day, in the same large classroom withround tables, and consisted of oral presentations, roundtable discussions, printed brochuresoffered to the students, food, drinks and opprtunity drawings. The forum with faculty andindustry professionals took place in a medium sized classroom and consists of a panel discussionfollowed by Q&A. b) Undergraduate Research Experiences To increase the
offering incorporating this project, we will collect data on retention andpersistence of this first cohort in a longitudinal study. The baseline groups will be the cohortsfrom fall 2018 and fall 2019 when a different project focused on robotics was used.References[1] Abrams, L., & Altschuld, J. W., & Lilly, B. W., & Mendelsohn, D. A. (2012, June),Introduction to Mechanical Engineering: A Course in Progress Paper presented at 2012 ASEEAnnual Conference & Exposition, San Antonio, Texas. 10.18260/1-2—21609.[2] Dolan, C. (2005, June), Introduction To Engineering At The University Of Wyoming Paperpresented at 2005 Annual Conference, Portland, Oregon. 10.18260/1-2—15220.[3] Halyo, N. & Le, Q. (2012, October), “Results of Using
Education, pp. 267-274, July 2002.4. R. Talbert, “Learning MATLAB in the Inverted Classroom,” Proceedings of the ASEE Conference, San Antonio, TX (2012).5. K. M. Kecskemety, B. Morin, “Student Perceptions of Inverted Classroom Benefits in a First-Year Engineering Course,” Proceedings of the ASEE Conference, Indianapolis, IN (2014).6. M. Stickel, S. Hari, Q. Liu, “The Effect of the Inverted Classroom Teaching Approach on Student/Faculty Interaction and Students’ Self-Efficacy,” Proceedings of the ASEE Conference, Indianapolis, IN (2014). Page 26.1698.127. N. K. Lape, R.L. Levy, D. H. Yong, K. A. Haushalter, R. Eddy, N
equations that they could use to solve theproblems but were not told which equations to use and how to apply them.The first question involved applying the continuity equation to a water flow problem through apipe (Learning Objective #3). The actual exam question given was: Water flows from left to right in the pipe below. The velocity in the 1 m section of pipe is 1.4 m/s. Find the velocity in the 2 m section of pipe. Q 1 m diameter pipe 2 m diameter pipeThe students were asked to show all of their work as they completed the problem. The problemwas graded on an eight-point scale and the students could receive partial credit. After thestudents’ exams
. J. Couns. Psychol. 2012, 59 (3), 424.(9) Jimenez-useche, I.; Hoffmann, S. R.; Ohland, M. W. In 7th First Year Engineering Experience (FYEE) Conference; Roanoke, VA, 2015; pp 1–6.(10) Layton, R. A.; Loughry, M. L.; Ohland, M. W.; Ricco, G. D. Adv. Eng. Educ. 2010, 2 (1), 1.(11) Ohland, M. W.; Loughry, M. L.; Woehr, D. J.; Bullard, L. G.; Finelli, C. J.; Layton, R. A.; Pomeranz, H. R.; Schmucker, D. G. Acad. Manag. Learn. Educ. 2012, 11 (4), 609.(12) Oberg, K. Pract. Anthropol. 1960, July-Augus, 177.(13) Liu, O. L. ETS Research Report Series 14-15. 2014, 14 (15), 1.(14) Ockey, G. J.; Koyama, D.; Setoguchi, E.; Sun, A. Lang. Test. 2014, 32 (1), 39.(15) Brooks, L.; Swain, M. Lang. Assess. Q. 2014, 11 (4
., vol. 5, no. 2, pp. 468–487, 2019.[15] R. R. Fowler and M. P. Su, “Gendered Risks of Team-Based Learning: A Model of Inequitable Task Allocation in Project-Based Learning,” IEEE Trans. Educ., vol. 61, no. 4, pp. 312–318, 2018.[16] L. Q. Prendergast, “Retention, success, and satisfaction of engineering students based on the first-year experience.” Rutgers University-Graduate School-New Brunswick, 2013.[17] L. A. Meadows and D. Sekaquaptewa, “The effect of skewed gender composition on student participation in undergraduate engineering project teams,” in American Society for Engineering Education, 2011.[18] S. Ingram and A. Parker, “Gender and modes of collaboration in an engineering classroom: A
the data, e.g., when only one or two out offour members completed the assessment, and incorporating qualitative research methods such asfocus groups, interviews, and observations for a more thorough analysis.References[1] National Academy of Engineering. 2004. The Engineer of 2020: Visions of Engineering inthe New Century. Washington, DC: The National Academies Press.[2] ABET, "Criteria for Accrediting Engineering Programs, 2018 - 2019," ABET, 2018.[Online]. Available:https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-programs-2018-2019/. [Accessed 30 Jan 2019].[3] Bodnar, L. J., & Lagoudas, M. Z., & Hodge, J. Q., & Smith, T. A., & Orozco, J. A., & Corso,J. G., & Sanchez, C
slim majority (54%) of studentsreported that their sketches got better over the course of the semester. Very encouragingly, 95%of students reported that it will be important for them as they go through their engineeringeducation to take advantage of any opportunity to improve their representation skills. Figure 12 Post-Survey Q 4- 7: Do you agree/disagree with the following statements Q4 - After this semester I have an INCREASED appreciation for the value of sketching, drawing, making diagrams etc in helping me… Q5 - After this semester I have an INCREASED appreciation for the
satisfaction with your assigned mentor 6 14 46 21 Your overall satisfaction with all aspects of the mentoring 9 13 48 17 program.The peer-mentoring program also included periodic visits by the engineers from localcompanies. Several students attended the organized events and interacted with the engineers toform a better idea about the engineering profession. Many of the engineers shared theireducational experiences, gave insightful advice and tips on time management and priorities. Thecasual interaction with the visiting engineers after the Q&A sessions typically received highmarks from the
strategies for retaining engineering, engineering andtechnology and computer science students. Retrieved from ASEE websitehttps://www.asee.org/search?q=going+the+distanceDuckworth, A. L., Peterson, C., Matthews, M. D., & Kelly, D. R. (2007). Grit: Perseverance and passionfor long-term goals. Journal of Personality and Social Psychology, 92(6), 1087-1101.Duckworth, A.L., & Seligman, M. (2005). Self-discipline outdoes IQ predicting academic performance inadolescents. Psychological Science, 16, 939-944.Hughes, B., Garibay, J. C., Hurtado, S., & Eagan, M. K. (2013). Examining the tracks that causederailment: institutional contexts and engineering degree attainments. AERALent, R W., Brown, S. D., & Hackett, G. (1994). Toward a unifying
predictive mathematical models,” Computers & Education, 61, 2013, pp. 133- 143.[5] R. White, “Predicting likely student performance in a first year Science, Technology, Society course,” International Journal of Innovation and Learning, 12(1), 2012, pp. 72 - 84.[6] L. Lackey, W. Lackey, H. Grady, and M. Davis, “Efficacy of using a single, non-technical variable to predict the academic success of freshmen engineering students,” Journal of Engineering Education, 92(1), 2003, pp. 41-48.[7] Q. Jin, P.K. Imbrie, J. Lin, X. and Chen, “A multi-outcome hybrid model for predicting student success in engineering,” 118th ASEE Annual Conference and Exposition, June 2011, Vancouver, BC, Canada.[8] A. Olani
Education: Innovations and Research, 14(2), 29.9. Li, Q., Swaminathan, H., & Tang, J. (2009). Development of a classification system for engineering student characteristics affecting college enrollment and retention. Journal of Engineering Education, 98(4), 361.10. Doolen, T., & Long, M. (2007). Identification of retention levers using a survey of engineering freshman attitudes at oregon state university. European Journal of Engineering Education, 32(6), 721-734. doi:10.1080/0304379070152078411. Jonassen, D., Strobel, J., & Lee, C. B. (2006). Everyday problem solving in engineering: Lessons for engineering educators. Journal of Engineering Education, 95(2), 139-151.12. Strobel, J., & Pan, R