[6],considering some limitations, as mentioned later in this paper. Initially, it was thought thatworkshops could be held in groups to promote collaborative work with a 90-minute duration;however, the school itself requested that the workshops last 60 minutes each with individualexperimentation. The structure of the workshop is shown below: 1. Trigger questions aimed at evoking prior subject knowledge. 2. Contextualize the workshop content with a short PowerPoint presentation. 3. Response to worksheets (Prediction). 4. Children shared their answers, and a discussion was generated on the phenomena and concepts given their previous knowledge (Q&A). 5. Experimentation and demonstrations. They were provided with material to
learning [7-9], there remains more work to be done tostudy how instructors and students cope with the continuously changing global conditions, 2especially at regional campuses with small classes sizes. The paper also assesses the student’sbehavior and attitudes as they navigated their courses during this transition. In-classparticipation, attendance, and active Q&A with the instructor during the online lecture sessionsare used as pointers to assess the motivation of students in class. Faculty interactions with thestudents while they are in the class describe a certain level of motivation. Timely completion ofthe assignments, punctual attendance
during “our” class period. During the class perioditself, 2-5 presenters began with a brief overview of the key science concepts related to theactivity (usually with 1-3 questions for the audience) before breaking out into small groups toexecute the activity. During this time, the volunteers would circulate among students and helptroubleshoot experiment issues or engage in further discussion with the students in the smallgroup setting. Finally, the full group came back together to summarize the activity, answeradditional questions, and provide space for Q&A on "what it means to be a materials scientist”.The second in-person outreach modality was based around events hosted at the University ofMichigan, typically as part of a broader event
: A Retrospective of Three Civil Engineers”, Journal of STEM Education: Innovations and Research, vol 21, no 3, 2020.[32] J. M. Ortiz-Lozano, A. Rua-Vieites, P. Bilbao-Calabuig, and M. Casadesús-Fa, “University student retention: Best time and data to identify undergraduate students at risk of dropout”, Innovations in education and teaching international, 2018.[33] Q. H. Mazumder, S. Sultana, and F. Mazumder, “Correlation between Classroom Engagement and Academic Performance of Engineering Students”, International Journal of Higher Education, vol 9, no 3, pp. 240–247, 2020.[34] M. Laugerman, D. Rover, S. Mickelson, and M. Shelley, “The Middle Years in Engineering: An Effective Transfer Partnership Drives Student
Engineering Education, vol. 109, no. 3. Wiley-Blackwell Publishing Ltd, pp. 556–580, Jul. 01, 2020, doi: 10.1002/jee.20322.[18] T. B. Lane and L. Id-Deen, “Nurturing the Capital Within: A Qualitative Investigation of Black Women and Girls in STEM Summer Programs,” Urban Educ., 2020, doi: 10.1177/0042085920926225.[19] N. E. Holland, “Beyond conventional wisdom: community cultural wealth and the college knowledge of African American youth in the United States,” Race Ethn. Educ., vol. 20, no. 6, 2017, doi: 10.1080/13613324.2016.1150823.[20] M. Lachney, “Computational communities: African-American cultural capital in computer science education,” Comput. Sci. Educ., vol. 27, no. 3–4, 2017, doi: 10.1080/08993408.2018.1429062.[21] A. Q
qualitative research concepts grounded in anthropological methods for teaching design in healthcare. Healthcare, 10(2), 360. https://doi.org/10.3390/ healthcare10020360Niu, B., Liu, C., Liu, J., Deng, Y., Wan, Q., & Ma, N. (2019). Impacts of Different Types of Scaffolding on Academic Performance, Cognitive Load and Satisfaction in Scientific Inquiry Activities Based on Augmented Reality. 2019 Eighth International Conference on Educational Innovation through Technology (EITT), 239–244. https://doi.org/10.1109/EITT.2019.00053Panadero, E. (2017). A Review of Self-regulated Learning: Six Models and Four Directions for Research. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.00422Pintrich, P. R. (2004). A
://nbn-resolving.de/urn:nbn:de:0114- fqs0503440Miles, M. B., Huberman, A. M. & Saldaña, J. (2013). Qualitative data analysis: A methods sourcebook (3rd ed.). SAGE.Montfort, D., Brown, S., & Shinew, D. (2014). The personal epistemologies of civil engineering faculty. Journal of Engineering Education, 103(3), 388–416. https://doi.org/10.1002/jee.20050Offorma, G. C. (2016). Integrating components of culture in curriculum planning. International Journal of Curriculum and Instruction, 8(1), 1–8. http://ijci.wcci- international.org/index.php/IJCI/issue/view/3Patton, M. Q. (1990). Quality evaluation and research methods. SAGE.Rubin, H. J., & Rubin, I. S. (2005). Designing main questions and probes. In
that we couldoffer more sessions (roughly twice as many) of these events along with reducing the need forstudents to travel to campus. The university shifted to a “scores optional” admission processwhere students are no longer required to take the ACT or SAT for admission to Baylor. Earlyadmission statistics have been encouraging and it is noteworthy that the percentage of minoritystudent applications rose by 9% compared to last year. Targeted recruiting for the ECS Scholarsprogram was incorporated into the new formats for I2E and DSD. Additionally, we held twovirtual Q&A sessions about the program that were well attended.Project Objective 2: Enroll 22 low-income, academically talented students according to a stagedplan of forming two
Motivating EngineeringFaculty to Adopt and Teach New Engineering Technologies,” in 2021 IEEE Frontiers inEducation Conference (FIE), Lincoln, NE, USA, Oct. 2021, pp. 1–5. doi:10.1109/FIE49875.2021.9637235.[6] R. Scherer, F. Siddiq, and J. Tondeur, (2019). "The technology acceptance model (TAM): Ameta-analytic structural equation modeling approach to explaining teachers’ adoption of digitaltechnology in education," Computers \and Education, 128, 13-15.[7] Y. Lee, K.A. Kozar, and K. R. T. Larsen, (2003). "The technology acceptance model: past,present and future," Communications of the Association for Information Systems, 12(50),752-780.[8] Q. Ma, and L. Liu, (2004). "The Technology Acceptance Model: A Meta-Analysis ofEmpirical Findings," Journal of
the professionalism in the class conduct section within their syllabus.4. Students should turn on their cameras during class.5. Reasonable exceptions for privacy, technological, or other issues should be made.6. Utilize participation tools either pre, during, or post online content7. Live polls keep students engaged and ‘catch’ students that have left the computer.8. Surveys of viewed content can help to ensure students have watched9. Breakout rooms to allow more active engagement with students10. Encourage discussion through Q&A11. Include grades for in-class participation in the syllabus Student’s feedback on Synchronous InstructionA survey was sent to petroleum engineering students, in their sophomore and junior
Plasma Science, vol. 34, pp. 166-172, 2006.6. J. Zhao, Y. Chen, Y. Sun, H. Wu, Y. Liu and Q. Yuan, “Plasma antennas driven by 5-20 kHz AC power supply, AIP Advances, vol. 5, https://dol.org/10/10.1063/1.4938084, 20157. I. Alexeff, T. Anderson , E. Farshi, N. Karnam, and N. Pulasani, “Recent results for plasma antennas,” Phys. Plasmas, vol. 15, https://doi.org/1010.1063/1.2919157, 2008.8. R. Buffington, “GC-Atomic Emission Spectroscopy Using Microwave Plasmas,” Hewlett-Packard, 1988.9. Silver, H., ed. 2011. The ARRL Antenna Book, 22nd ed. Section 4: Radio Propagation. Newington, CT American Radio Relay League.
Educational Objectives. New York: Pearson, 2001.[6] F. Jiang, Y. Jiang, H. Zhi, Y. Dong, H. Li, S. Ma, Y. Wang, Q. Dong, H. Sheng and Y. Wang, “Artificial Intelligence in Healthcare: Past, Present and Future,” Stroke Vasc Neurol, vol. 2, no. 4, p 230-243, Dec 2017.Appendix A: Probability, statistics and Python reviewGiven that students come from various undergraduate training, the first week of class is used toreview some basic knowledge necessary for the course. Probability and statistics review topiccovers probability calculation and properties, discrete vs. continuous variables and probabilitymass function vs. probability density function, joint, marginal and conditional probability,independence and conditionally independence, expected value
. TechTrends, 57(6), 14-27.[4] Bormann, J. (2014). Affordances of flipped learning and its effects on student engagementand achievement, Doctoral dissertation, University of Northern Iowa.[5] Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., &Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering,and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415.[6] Tahmina, Q. (2018, June), Assessing the Impact of Peer Mentoring on Performance in aFundamentals of Engineering Course Paper presented at 2018 ASEE Annual Conference &Exposition, Salt Lake City, Utah. https://peer.asee.org/29829[7] J. J. Park, M. Park, K. Jackson, and G. Vanhoy, “Remote
/breakdown on sales numbers to measure success • Elevator pitch on marketing the product • Evaluation of accessibility of the productReferences[1] Engineering Unleashed, "The Entrepreneurial Mindset" https://engineeringunleashed.com/mindset (AccessedMarch 26, 2022).[2] Harichandran, R. S., Erdil, N. O., Carnasciali, M-I., Nocito-Gobel, J., and Li, Q. (2018). “Developing anentrepreneurial mindset in engineering students using integrated e-learning modules.” Advances in EngineeringEducation, 7(1), 13.[3] Erdil, N., Harichandran, R., Carnasciali, M.-I., Nocito-Gobel, J. (2021). Faculty Development Aimed atSustaining and Enhancing Entrepreneurial Minded Learning. 2021 ASEE Annual Conference & Exposition.[4] C. Martinez, “Teaching SoC
are in therange of 0.90 – 0.98 [3].To then measure the coefficient or performance for each meter this equation is first solved for v,the velocity of the fluid instead of the volumetric flow rate, Q using Q = vA (eq 2). Thus, for thevelocity as measured by the meter, without the discharge coefficient is 2 ∆𝑃 𝑣𝑚𝑒𝑡𝑒𝑟 = √ (eq 3) 𝜌(1 − 𝛽 4 )The discharge coefficient then uses this velocity measured by the meter and compares it to theactual pipe velocity as measured by either flow meter or mass flow rate. 𝑣𝑎𝑐𝑡𝑢𝑎𝑙
performance, High mastery medium performance, and Medium mastery lowperformance Mean SE of Tukey's multiple comparisons test p N1 N2 q DF Diff. Diff. Mastery goal orientation: Pretest High mastery/low performance group vs. High mastery/medium performance group 0.03 - 3.6 208 171 0.65 3006 High mastery/low performance group vs. Medium mastery/low performance group 0.95 <0.001 3.95 208 125 18.84 3006 High mastery/medium performance group
? Perceptions of gender microaggressions in the workplace,” Psychol. Women Q., vol. 38, no. 3, pp. 340–349, 2014, doi: 10.1177/0361684313511420.[14] K. L. Nadal, K. E. Griffin, Y. Wong, S. Hamit, and M. Rasmus, “The impact of racial microaggressions on mental health: Counseling implications for clients of color,” J. Couns. Dev., vol. 92, no. 1, pp. 57–66, 2014, doi: 10.1002/j.1556-6676.2014.00130.x.[15] A. Marshall et al., “Responding and navigating racialized microaggressions in STEM,” Pathog. Dis., vol. 79, no. 5, pp. 1–6, 2021, doi: 10.1093/femspd/ftab027.[16] D. Dortch and C. Patel, “Black Undergraduate Women and Their Sense of Belonging in STEM at Predominantly White Institutions,” NASPA J. About Women
Close-Out).Eight major deliverables are included in the course and are outlined in table 1.At the end of the semester, the students must present the RFP in front of a panel of industryjurors from national and international construction companies, professors from the department,invited professors from several universities besides professional consultants. Each team has 20minutes to presenting and the jurors have 10 minutes for questions and answers (Q/A) and finalcomments. During Spring 2021 due to the COVID pandemic, presentations were held virtuallyon Zoom.Table 1 – RFP Process Assignments Deliverable Content Observations (Week | Points
answer / multiple choicequestions (with explanations for right and wrong answers), 15 small coding problems, and 2programming assignments, all online and auto-graded with immediate score feedback, plus some onlinereading and watching of short videos and animations. In-person lectures consisted mostly of instructorsdoing examples, pausing 3-5 times per 80-min period to have students work on small coding problemsthemselves, often in small groups.The original online section was run mostly asynchronously. Students had to attend just one discussionhour of their choice per week, mostly with the instructor doing examples and Q&A. Those early onlinesections had high DFW rates (nearly 50%), as shown in Figure 1
://peer.asee.org/36254 [11] Arasan, M. Boonma, R. Fox, Kat Francis, M. Goffin, A. A. Aziz, and B. Maheswaran, "Aztec: Assistive Technology for the Hand". 2020 Northeast Section Meeting, Online, 2021, May. ASEE Conferences, 2021. https://peer.asee.org/36263[12] J. Martino, M. Weaver, T. Lee, U. Rastogi, D. Hunter, and B. Maheswaran, "Smart Ukulele: A Music Education Tool". 2020 Northeast Section Meeting, Online, 2021, May. ASEE Conferences, 2021. https://peer.asee.org/36264[13] R. F. Service, “Clean Revolution”, Science, Vol. 350, Issue 6264, 2015[14] Q. Schiermeier, J. Tollefson, T. Scully, A. Witze, and O. Morton, “Electricity without Carbon”, Nature, Vol 454, 816–823 (2008)[15] H. Yang, L. Wang, B. Zhou, Y. Wei, and Q. Zhao
orientation on the relations betweenreasoning and intuitions – although this is an important activity that will be undertaken in futurework.References[1] C. E. Harris, M. Pritchard, M. Rabins, R. James, and E. Englehardt, Engineering Ethics: Concepts and Cases, 6th ed. Cengage Learning, 2018.[2] M. Martin and R. Schinzinger, Introduction to Engineering Ethics, 2nd ed. New York: McGraw-Hill, 2009.[3] M. Davis, “An Historical Preface to Engineering Ethics,” Sci. Eng. Ethics, vol. 1, pp. 33– 48, 1995.[4] I. Van de Poel and L. Royakkers, Ethics, Technology, and Engineering: An Introduction. Malden: Wiley-Blackwell, 2011.[5] H. C. Luegenbiehl and R. F. Clancy, Global engineering ethics. New York: Elsevier, 2017.[6] Q
similar interests; and 5) attendees appreciated the wide range of topics presented andthe emphasis on connectedness and interdisciplinarity.AcknowledgementThis material is based upon work supported by the National Science Foundation ResearchTraineeship Program under Grant No. 1922694.References1. E. Santillan-Jimenez, Q. Duan, J. Dariotis, and M. Crocker, "Enhancing graduate education by fully integrating research and professional skill development within a diverse, inclusive and supportive academy," in 2020 ASEE Virtual Annual Conference, 2020, DOI: 10.18260/1-2-- 34569. [Online]. Available: https://peer.asee.org/345692. E. Santillan-Jimenez, J. E. Parker, K. Mabisi, C. B. Schutzman, and M. Crocker, "Description, Assessment, and Outcomes
justcram before exams. To address this second challenge, a small mark percentage was dedicated tostraightforward quizzes based on each lecture, which were available for 24 hours. These quizzesincentivized keeping up with the course material and gave the students a way to immediatelysolidify their learnings. The third challenge was that online learning isolated students andrequired new mechanisms to prevent them from becoming passive observers. Offering onlinesynchronous lectures gave students a chance to ask and answer questions in real-time. We alsoobserved massive growth in students’ usage of Piazza—an online Q&A platform used in thecourse. Finally, moving online motivated a revamp of the processes used for coordinating labsand marking exams
from tree interactions. We also use the quiz component to assess TreeVi-sual’s effect on helping learn tree visualization.Figure 7: The TreeVisual’s quiz component. Compared with the study component shown in Figure 1, the right-sidedisplay panel is replaced with a Q&A panel.We can see from Figure 7 that the user interface of the quiz component is similar to that of the study component,except for several major differences. First, the right panel is replaced with a question and answer (Q&A) part. Second,the drop-down menu for changing datasets is removed since each question is associated with a specific dataset. Third,in the control panel, the dataset description section is moved to the top to give users a quicker look at its
-2020/ (accessed Nov. 04, 2019).[2] “ASME Code of Ethics of Engineers,” 2012.[3] J. Lucena, G. Downey, B. Jesiek, and S. Elber, “Competencies Beyond Countries : The Re-Organization of Engineering Education in the United States , Europe , and Latin America,” J. Eng. Educ., no. October, pp. 433–448, 2008, doi: 10.1002/j.2168- 9830.2008.tb00991.x.[4] K. Q. Fisher, A. Sitomer, J. Bouwma-gearhart, and M. Koretsky, “Using social network analysis to develop relational expertise for an instructional change initiative,” Int. J. STEM Educ., vol. 5, 2019.[5] S. E. Brownell and K. D. Tanner, “Barriers to faculty pedagogical change: Lack of training, time, incentives, and...tensions with professional identity
P. environment leadership O, create a collaborative and Q. goals inclusive environment P, establish goals Q, R. tasks plan tasks R, and meet objectives S S. objectives SO 6. an ability to develop T and conduct U T. develop [categorized as a “student action”] appropriate experimentation, analyze and U. conduct [categorized as a “student action”] interpret data V, and use engineering V. data judgment to draw conclusions W W. conclusions SO 7. an ability to acquire and apply new X. new knowledge knowledge X as needed, using appropriate Y. learning strategies learning strategies YTable 3. Evaluation of Graded
pay for theirbachelor’s degree, as they will only be responsible for costs in their first 3 years.In addition to recruiting and preparing to support our first cohort of Data Science MS students,we are working to build community between faculty and students on both campuses. One projectthat is already underway is a shared seminar series featuring external speakers from diversebackgrounds sharing their data science scholarship. Due to the ongoing pandemic, the seminarsin winter/spring 2022 were fully virtual, with a presentation from the speaker and Q&A from thepublic. We also organized a separate follow up session for the speaker to meet with just students,which was a well-received opportunity for students to ask questions and learn more
, L. Babun, E. Tekiner, and A. S. Uluagac, “Minos: A lightweight real-time cryptojacking detection system,” in NDSS, 2021.[13] J. Franco, A. Aris, B. Canberk, and A. S. Uluagac, “A survey of honeypots and honeynets for internet of things, industrial internet of things, and cyber-physical systems,” IEEE Communications Surveys Tutorials, vol. 23, no. 4, pp. 2351–2383, 2021.[14] A. Q. Gates, H. Thiry, and S. Hug, “Reflections: The computing alliance of hispanic-serving institutions,” ACM Inroads, vol. 7, no. 4, p. 69–73, nov 2016.[15] J. T. F. on Cybersecurity Education, Cybersecurity Curricula 2017: Curriculum Guidelines for Post-Secondary Degree Programs in Cybersecurity. New York, NY, USA: Association for Computing