(value) and variation were brought up again.The follow up report constituted addressing the following tasks: • Providing a description of the case including background, important factors, critical measures, etc. • Determining each design’s performance with regards to the quality measure(s) identified • Recommending which design that the company should continue with for further advancement based on both technical feasibility and economic value analysis • Providing statistical justification to all responsesAll the information necessary to conduct a technical feasibility analysis using statistical toolswas available in the materials covered during the lectures; but the students had to research togather more information to
all the codinginstances.Table 1: Three examples of stories with their codes and IRR Post Story Coder L Coder G Coder S IRR # 1 My name is Gale. I'm a postdoc studying natural resource management, coping mechanism under 78.6% and I have ADHD and Generalized Anxiety Disorder. coping represented/women I've seen therapists off and on since age 19, and never thought I needed mechanism/behaviora coping meds. But once I started grad school, all my normal coping mechanisms
studentshone their skills.References [1] O. Okundaye, S. Chu, F. Quek, A. Berman, M. Natarajarathinam, and M. Kuttolamadom, “From making to micro-manufacture: Catalyzing stem participation in rural high schools,” in Proceedings of the Conference on Creativity and Making in Education, pp. 21–29, 2018. [2] O. J. Okundaye, M. Kuttolamadom, M. Natarajarathinam, S. L. Chu, and F. Quek, “Motivating stem participation through a’making as micro-manufacture (m3)’model,” in 2018 ASEE Annual Conference & Exposition, 2018. [3] D. M. Yip-Hoi, “Teaching surface modeling to cad/cam technologists,” in American Society for Engineering Education, American Society for Engineering Education, 2011. [4] F. Heidari, “Status study of cad/cam/cnc
. This work encourages the engineering educationcommunity to find new ways to define how an inclusive practice is working for a specificcontext, as a supplement to a quantitative approach.References[1] C. E. Foor, S. E. Walden, and D. A. Trytten, “‘I Wish that I Belonged More in this Whole Engineering Group:’ Achieving Individual Diversity,” J. Eng. Educ., vol. 96, no. 2, pp. 103–115, 2007, doi: https://doi.org/10.1002/j.2168-9830.2007.tb00921.x.[2] B. Berhane, S. Secules, and F. Onuma, “Learning While Black: Identity Formation and Experience for Five Black Men Who Transferred Into Engineering Undergraduate Programs,” J. Women Minor. Sci. Eng., vol. 26, 2020, doi: 10.1615/JWomenMinorScienEng.2020024994.[3] M. Kali, S. Secules, and C
thematching survey and one from the baseline (pre-) survey. Table 1 serves to highlight and labelthese five survey questions. Table 1: Main survey questions analyzed from the canceled GAIN pilot. The identifier “M” refers to the matching survey and “B” refers to the baseline survey Topic, Style, and Source Highlighted Survey Question Briefly describe the main challenge(s) you have faced Question M1: in college so far. Examples academic struggles, Challenges faced personal struggles, time management, work-balance life, difficult
amongst all three teaching modes. Nevertheless, significant differences maysometimes exist between one or two pairs. Thus, post-hoc analysis (Tukey) is used to determinewhich pair(s) cause this significance, shown in Table 8. Tukey’s analysis are performed only onthe two significant constructs from the ANOVA analysis, and the results indicate that the students’response to the interactive construct differ significantly between a semester with fullyimplemented remote teaching and one with in-person labs with a p-value of (p = 0.001), a meandifference of (-0.930), and a standard error of (0.238); this difference indicates that students in in-person sessions anticipated to receive more interactive learning instructions than those in remotesessions
computer programming students: a middle eastern and American comparison. IEEE Transactions on Education, 2006. 49(4): p. 443-50.15. Felder, R.M., Learning and teaching styles in foreign and second language education. Foreign Language Annals, 1995. 28(1): p. 21-31.16. Ma, L., et al., Investigating the viability of mental models held by novice programmers. ACM SIGCSE Bulletin, 2007. 39(1): p. 499-503.17. Bonar, J. and E. Soloway. Uncovering principles of novice programming. in Proceedings of the 10th ACM SIGACT-SIGPLAN symposium on Principles of programming languages. 1983. Austin, Texas: ACM.18. Brown, H. D., & Gonzo, S. T. Readings on second language acquisition. Englewood Cliffs, NJ: Prentice Hall
[1] D. Barr, J. Harrison, and L. Conery, "Computational thinking: A digital age skill for everyone," Learning & Leading with Technology, vol. 38, no. 6, pp. 20-23, 2011.[2] C. ISTE. "Computational Thinking Leadership Toolkit - ISTE." https://cdn.iste.org/www-root/ct-documents/ct-leadershipt-toolkit.pdf?sfvrsn=4 (accessed 2021).[3] I. Corradini, M. Lodi, and E. Nardelli, "Computational Thinking in Italian Schools: Quantitative Data and Teachers' Sentiment Analysis after Two Years of" Programma il Futuro"," in Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education, 2017, pp. 224-229.[4] S. F. Sidek, C. S. Said, and M. H. M. Yatim, "Characterizing
conversations are generated in class having laid out basic knowledge and any doubts generated are solved in class." (S14) "I think they serve to lay the groundwork for the subject that is going to be further discussed in class and thus, once in the class itself, one better understands the concepts and subject matter." (S36)Students' perception of the "Flipped Classroom + Podcasts" instructional practiceThe responses obtained from the “Student Response to Instructional Practices” (StRIP)questionnaire were compiled in spreadsheets and analyzed using the Excel statistical modules.The StRIP was sent by email to students at semester´s end, obtaining 26 responses out of the 53student total.Given the interest in analyzing student
learning process to the student, but to intentionally add adegree of freedom and flexibility often missing from academic coursework. Allowing studentssome ability to shape their learning experience enables them to advance their personal skill setand interests in new and constructive ways. Pedagogically, the mini-projects aim to movestudents from a simple to a complex level of understanding; for example, moving beyond simplygrasping how a tool is employed to understanding its purpose, the need(s) it addresses, and theexpectations surrounding its use. In short, students learn how to think about tools and operationsthat are viable, feasible, and desirable. Adding opportunities for flexibility in pursuing some oftheir own interests can further
still be used to record classes forassessment and improve teaching. Additionally, recorded lectures can be easily edited to createshort instructional videos for supplemental instruction, additional problem solving, flippedclassroom, or even to give a lab orientation before the actual lab. Fully recorded sessions canalso be made available to select students who missed classes due to job interviews, athletics, orillness. As campuses increased their technical capacity and capability, the talent and equipmentcan and should still be used so all are proficient before we must react to another tumultuousevent.References[1] A. C. Estes, R. W. Welch, and S. J. Ressler, “The ExCEEd Teaching Model: Teaching Lessons Learned,” Journal of
. Stylus Publishing, LLC., 2017.[7] W. C. Newstetter, “Of Green Monkeys and Failed Affordances: A Case Study of a Mechanical Engineering Design Course,” Res. Eng. Des., vol. 10, no. 2, pp. 118–128, 1998.[8] D. Armel and S. A. Shrock, “The Effects of Required and Optional Computer-Based Note Taking on Achievement and Instructional Completion Time,” J. Educ. Comput. Res., 1996.[9] S. A. Lei, “Revisiting Extra Credit Assignments Perspectives of College Instructors,” J. Instr. Psychol., 2010.[10] T. Park, C. S. Woods, S. Hu, T. B. Jones, and D. Tandberg, “What Happens to Underprepared First-Time-in-College Students When Developmental Education is Optional? The Case of Developmental Math and Intermediate
." United Nations Organization. https://unsdg.un.org/resources/policy-brief-education-during-covid-19-and-beyond (accessed April 14, 2021).[3] S. Khan, R. Rabbani, I. Thalassinos, and M. Atif, "Corona Virus Pandemic Paving Ways to Next Generation of Learning and Teaching: Futuristic Cloud Based Educational Model," Available at SSRN 3669832, 2020.[4] J. Q. Michael Fullan, Max Drummy, Mag Gardner, "Education Reimagined: The Future of Learning," no. http://aka.ms/hybridlearningpaper. [Online]. Available: http://aka.ms/hybridlearningpaper[5] "Pandemic sparks game-changing approach to hardware training." https://www.cmc.ca/pandemic-sparks-game-changing-approach-to-hardware-training/ (accessed April 14, 2021).[6] Q. N. Naveed, M
Scope of interventionEuropean Journal of Engineering Education 6 Engineering education 21Computer Applications in Engineering Education 3 Computer Science 7International Journal of Engineering Education 3 K-12 engineering 6IEEE Transactions on Education 2 34Journal of Engineering Education 2 Location of the authors'Journal of Systems and Software 2 institution(s)Advances in Engineering Education
, and data collection documents and procedures were available inboth Spanish and English languages for youth participants and their guardians. We followedOMSI guidelines for collecting, managing, and analyzing data in two languages (e.g., more thanone researcher is fluent in Spanish and English, instrument development includes members ofLatino communities, data is collected in participants’ preferred language(s) and is kept in thesource language throughout the analysis).Data collectionObservationA one-page form was used to gather observation data. The form prompted observers to recordthe size and make-up of the visitor group, the date and time of day, and the name of the exhibit.Once a visitor interacted with the exhibit, observers recorded the
LLC is only for first-year students, the factors and skillsets participants learn stay with them their remaining time atFAMU.References[1] K., Inkelas, J.E. Jessup-Anger, M. Benjamin, and M.R. Wawrzynski, (2018) Living LearningCommunities that work: A research-based model for design, delivery, and assessment. StylusPublishing, LLC.[2] K. Inkelas, Z. E., K. E., Daver, Vogt, and J., Leonard, (2007). Living–Learning Programsand First-Generation College Students’ Academic and Social Transition to College. Research inHigher Education, 48(4), 403-434. doi: 10.1007/s11162-006-9031-6[3] K. Inkelas, M. Soldner, S. Longerbeam, and J. Leonard (2008). Differences in StudentOutcomes by Types of Living–Learning Programs: The Development of an Empirical
. 738–743.[4] L. J. Shuman, C. Delaney, H. Wolfe, A. Scalise, and M. Besterfield-Sacre, “Engineering attrition: Student characteristics and educational initiatives,” in Proceedings of the American Society of Engineering Education, 1999, pp. 1–12.[5] S. P. Nichols and N. E. Armstrong, “Engineering entrepreneurship: Does entrepreneurship have a role in engineering education?,” IEEE Antennas Propag. Mag., vol. 45, no. 1, pp. 134–138, 2003.[6] P. Shekhar, A. Huang-Saad, J. Libarkin, R. Cummings, and V. Tafurt, “Assessment of student learning in an entrepreneurship practicum course,” 2017.[7] T. P. James, E. Rose Morehouse, and T. P. James, “Employer Perceptions of Undergraduate Student Entrepreneurial
. Cook received her doctorate in Social and Personality Psychology from the University of Washington, with a minor in quantitative methods and emphases in cognitive and educational psychology. Her research has included classroom learning, identity, and person perception.Dr. Gregory Mason P.E., Seattle University Gregory S. Mason received the B.S.M.E. degree from Gonzaga University in 1983, the M.S.M.E. de- gree in manufacturing automation from Georgia Institute of Technology in 1984 and the Ph.D. degree in mechanical engineering, specializing in multi-rate digital controls, from the University of Washington in 1992. He worked in a robotics lab for the Department of Defense for five years after receiving his
virtual summer seminar. This seminar was moderated byAditya Johri, one of the editors of the Cambridge Handbook of Engineering Education Research(CHEER). In this series of 15 seminars, 32 CHEER authors engaged in a one-hour discussionwith Johri to elicit their current views on the topics highlighted in their chapters. As part of theintroduction to each seminar, Dr. Johri asked the author(s) how they entered the field of EER.The findings from the analysis of this secondary data are used to develop a framework to helpanswer the research question: How did current engineering education researchers enter thefield? This is the first step in our major research goal, which aims to investigate what institutionscan do to attract and retain EER
support systems, suggesting the sequencing of three phases whenconducting a Live on Facebook. A) Planning, where the Live Transmission is designed anddefined, generates an advance with the topics discussed, published/promoted in the same socialnetwork. B) Transmission begins with the expert (s) presentation and guests' presentation andtakes advantage of the options for reactions and comments to direct the Live Transmissioncontent and make it even more relevant. C) The post-broadcast when it must ensure that the LiveTransmission recording is available for future views.In the field of languages and culture, Ross [4] shows how the crisis has fundamentally alteredteaching methods, which is why a shift towards remote teaching is required in Harvard
] M. Simmons, G. Parchoma, M. Jacobsen, D. Nelson, and S. Bhola, “Designing for studentengagement in an online doctoral research methods course. Proceedings of the IDEAS:Designing for Innovation. pp. 81–91, 2016.[3] P. Nuangchalerm, T. Polyiem, and P. Wongchantra, “Learning achievement, science processskills, and moral reasoning of ninth grade students learned by 7E learning cycle andsocioscientific issue-based learning. Australian Journal of Basic and Applied Sciences, vol. 5,no. 10, pp. 257-564, 2011.[4] S.J. Baldwin and J.H. Trespalacios, “Evaluation instruments and good practices in onlineeducation,” Online Learning, vol. 21, no. 2. pp. 1-18. doi:10.24059/olj.v21i2.913, 2017.[5] P. K. Gibson and T. Kinsey, “Need we train online
, "Community Engagement in Engineering Education: Needs and Learning Outcomes," in Developments in Engineering Education Standards: Advanced Curriculum Innovations: IGI Global, 2012, pp. 301-317.[8] E. A. Davis, A. S. Palincsar, A. M. Arias, A. S. Bismack, L. Marulis, and S. Iwashyna, "Designing educative curriculum materials: A theoretically and empirically driven process," Harvard Educational Review, vol. 84, no. 1, pp. 24-52, 2014.[9] V. Svihla, T. Kubik, and T. Stephens-Shauger, "Performance assessment practice as professional learning," Interdisciplinary Journal of Problem-based Learning, vol. 13, no. 2, 2019.[10] P. Freire, Pedagogy of the oppressed. New York, NY: Herder and Herder, 1970.[11] L. T. Smith
) Overall, I found Part 2 helped me understand why ... 1. duplication can make code hard to understand 2. duplication can make code hard to modify 3. E XTRACT C USTOM B LOCK can make code easy to understand 4. E XTRACT C USTOM B LOCK can make code easy to modify5 Results and DiscussionOn average, it took 50 minutes per participant to complete the entire study (tutorial and survey). Weprovided minimal help to some participants via a live support feature of our online study website.Most of the help was given for the tutorial tasks prior to the refactoring tasks, in which participantswere asked to fill in the missing parts to complete Part 2’s objective (basic-slides). Next, we presentthe analyses and their results and discuss how they
sciences, mathematics, and physical and life sciences, but also psychology and socialsciences. Seventeen million U.S. workers are considered part of the skilled technical workforce[16]. For engineers alone, this value has risen from 2.11% of the U.S. population in 2005 to2.71% in 2018 [17]. Additionally, the number of people connected to technology continues toincrease, as previously cited herein. It is therefore the authors’ assessment that the size of thepopulation of those involved with or affected by technology has both increased and become moremultidisciplinary.A study of the diversity portion of this prediction indicates that diversity has increased slightlyamong the U.S. science and engineering (S&E) workforce, although women and
advocate for anexpansion of this work nationally, employing additional and more rigorous research methods,larger data sets and transdisciplinary collaboration and analysis.References[1] S. Neal and R. Wellins, “Generation X — not millennials — is changing the nature of work,”CNBC, New York, NY. [online] https://www.cnbc. com/2018/04/11/generation-x--notmillennials--is-changing-the-nature-ofwork.html: Apr 11, 2018.[2] K. Schwab, The Fourth Industrial Revolution. Crown Publishing, New York, NY: 2016.[3] D. Pistrui, and D. Kleinke, “Industry 4.0 & the Talent Pipeline,” Technology in IndustryReport, Troy, MI: Automation Alley, 2018, pp. 8-18.[4] D. Pistrui, D. Kleinke, R. Bonnstetter and E. Gehrig, “Emerging Trends & Traits Shaping theIndustry
modalities of governance as operatingsimultaneously, and sometimes in tension. This is compatible with the ecological and systemsoriented perspective from which we chose to study engineering education governance. Giventhat this is a work in progress, where we seek to develop our ideas in dialogue with our audience,we will close the paper with these sparse concluding remarks. We welcome all those who readthis paper to send us your thoughts (and any case studies that you are willing to share with us) byemailing any of the authors starting with the project PIs: akeraa@rpi.edu, rac039@rpi.edu,riley@purdue.edu.References[1] Akera, A., Appelhans, S., Cheville, A., De Pree, T., Fatehiboroujeni, S., Karlin, J., Riley, D.M., ABET & engineering
active classrooms,” in 123rd ASEE Annual Conference & Exposition, 2016.[5] T. F. Nelson Laird, R. Shoup, G. D. Kuh, and M. J. Schwarz, “The effects of discipline on deep approaches to student learning and college outcomes,” Res. High. Educ., vol. 49, no. 6, pp. 469– 494, 2008.[6] E. P. Douglas, “Student construction of knowledge in an active learning classroom,” ASEE Annu. Conf. Expo., 2011.[7] D. L. Evans et al., “Tools for assessing conceptual understanding in the engineering sciences,” Front. Educ. Conf., p. 7803, 2002.[8] T. Pinarbaşi, N. Canpolat, S. Bayrakçeken, and Ö. Geban, “An investigation of effectiveness of conceptual change text-oriented instruction on students’ understanding of solution
. 2016-June, 2016.[16] N. A. Mamaril, E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy, “Measuring Undergraduate Students’ Engineering Self-Efficacy: A Validation Study,” J. Eng. Educ., vol. 105, no. 2, pp. 366–395, 2016.[17] S. R. Porter and M. E. Whitcomb, “Non-response in student surveys: The role of demographics, engagement and personality,” Res. High. Educ., vol. 46, no. 2, pp. 127– 152, 2005.[18] C. A. Lundberg, L. A. Schreiner, K. Hovaguimian, and S. Slavin Miller, “First-Generation Status and Student Race / Ethnicity as Distinct Predictors of Student Involvement and Learning,” NASPA J., vol. 44, no. 1, p. 57, 2007.[19] M. C. Manley Lima, “Commuter Students’ Social Integration : The Relationship
data analysis appropriate for this data. Table 1: Effect Coding of Independent Variables for Linear Regression Models Characteristic Variable Name(s) Effect Coding Gender Gender Male = -1; Female = 1 Race/Ethnicity URM White = -1; Asian = 0; Other (URM) = 1 Father, Mother, or both have College Degree = -1 Family of Origin First-Generation Neither Father or Mother have College Degree = 1 U.S. or permanent resident = -1 Country of Origin International
extent to which you agree with the following statement. a. Society views engineers as an asset. 9. To what extent does your sense of who you are (i.e., your personal identity) overlap with your sense of what an engineer is (i.e., the identity of an engineer)? [Scale 1= not at all, to 8= to a great extent]. ReferencesAnderson, C. B., Lee, H. Y., Byars-Winston, A., Baldwin, C. D., Cameron, C., & Chang, S. (2016). Assessment of Scientific Communication Self-efficacy, Interest, and Outcome Expectations for Career Development in Academic Medicine. Journal of Career Assessment, 24(1), 182–196. https://doi.org/10.1177/1069072714565780Barney, C. C. (2017). An Analysis of