Technical Direction. Professor of Practice. Emphasis on theater technical direction. Prof. J.-LA College of Liberal Arts Professor of Dance. Emphasis on contact dance improvisation. Prof. S.-LA College of Liberal Arts Professor of Art and Design. Professor of Art Education. Prof. Y.-LA College of Liberal Arts Professor of Interior Design. Data collection consisted of semi-structured interviews, which helped to understand better thecontext where the answers came from and tailor "follow-up questions within and across interviews" [10,p. 154] according to the participants' response. The questions were structured according to one element ofthe correspondence analysis
, the followingquestions were asked of all interviewees prior to conducting the interview: ● What is your name? (to ensure the correct person was interviewed) ● Are you over the age of 18? (this study was not IRB approved for minors as participants) ● Were you an LA in the Spring of 2020? ● What course(s) were you an LA for in Spring of 2020?These questions were for the purposes of pre-screening for eligibility and were not recorded as apart of the data collection process. As established in our approved Institutional Review Boardprotocol, we reviewed approved consent documents with each participant and gained verbalconsent for engaging in the interview or recording the audio.Course Contexts. The interviewees in this study supported
, Inc, 2013. doi: 10.1145/2534860.[2] R. Bockmon, S. Cooper, J. Gratch, J. Zhang, and M. Dorodchi, “Can Students’ Spatial Skills Predict Their Programming Abilities?,” in Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, Trondheim Norway, Jun. 2020, pp. 446–451. doi: 10.1145/3341525.3387380.[3] S. Cooper, K. Wang, M. Israni, and S. Sorby, “Spatial Skills Training in Introductory Computing,” in Proceedings of the eleventh annual International Conference on International Computing Education Research - ICER ’15, Omaha, Nebraska, USA, 2015, pp. 13–20. doi: 10.1145/2787622.2787728.[4] S. Jones and G. Burnett, “Spatial Ability and Learning to Program,” Hum. Technol
protocols for interference mitigation.The WSU author had the privilege of teaching a senior/first-year graduate student class onantennas and RF propagation in the Fall 2020. The anTpaTT system was demonstrated andmeasured results were compared to simulated results as part of the exercise.Students employed by a DoD contractor expressed appreciation for ‘real-world’ applications thatapplied directly to their job(s). Course evaluations were positive, and the department plans tocontinue a long-term plan to build an applied-EM curriculum.The anTpaTT system also offers opportunities for a wide variety of undergraduate research andsenior capstone projects due to its interdisciplinary nature; potential topics include signalprocessing to improve pattern
and creativetechniques in the classroom.For future work, this study can be expanded to include more participants, or even participantsfrom different backgrounds. The study can be replicated with a different creative intervention ordesign problem, to see if the hypothesis hold true. More research can be done on how a creativeintervention effects work that we do not generally view as creative, like math or science. Futureresearch can aim to answer the following research questions: 1) How does completing a creativity activity over a long period of time effects self- perception of creativity and novelty of a design? 2) How does a creativity intervention effect the outcomes of a non-design engineering course?References[1] S. M
. Owen, "Implementing virtual learning environments: Looking for holistic approach." Journal of Educational Technology & Society 3.3 (2000): 39-53.[3] J. M. Spector, “The potential of smart technologies for learning and instruction,” Int. j. smart technol. learn., vol. 1, no. 1, p. 21, 2016.[4] B. J. DiSalvo and A. Bruckman, “Questioning video games’ influence on CS interest,” in Proceedings of the 4th International Conference on Foundations of Digital Games - FDG ’09, 2009.[5] M. Papastergiou, “Digital Game-Based Learning in high school Computer Science education: Impact on educational effectiveness and student motivation,” Comput. Educ., vol. 52, no. 1, pp. 1–12, 2009.[6] N. Jain, P. Youngblood, M. Hasel, and S
?. Science, Technology,& Human Values, 39(1), 42-72.8. Leydens, J. A., Johnson, K., Claussen, S., Blacklock, J., Moskal, B. M., & Cordova, O.(2018). Measuring change over time in sociotechnical thinking: A survey/validation model forsociotechnical habits of mind. In 2018 Proceedings of the American Society for EngineeringEducation.9. Malazita, J. W., & Resetar, K. (2019). Infrastructures of abstraction: how computer scienceeducation produces anti-political subjects. Digital Creativity, 30(4), 300-312.10. Slaton, A. E. (2015). Meritocracy, technocracy, democracy: Understandings of racial andgender equity in American engineering education. In International perspectives on engineeringeducation (pp. 171-189). Springer, Cham.11. Riley, D
and numeric data together and uncover multivariate data associations fromdata. The PVAD algorithm was used to obtain data associations. Each association is in the formof X retention = YES, where X represents specific value(s) of one or multiple variables.Hence, X in each data association reveals characteristics of students whose retention variable(s)indicates them staying in engineering after the first year at ASU. In this study, we looked intoonly 1-to-1 data associations with X containing one variable and its specific value, because p-to-1 data associations, p > 1, with X containing multiple variables and their specific value are oftencombinations of characteristics from 1-to-1 data associations. A supporting instance of a 1-to-1data
provided instructors with critical information about theirstudents’ behaviors in courses. For example, learning analytics supply insight into the numberand time of student interactions [12]–[14] and the frequency of viewing content pages [15] andtools [10], [16]. Student behavior analytics is often compared to student performance and provento correlate significantly. Joksimovic et al. (2015) found that the count of student-studentinteractions in an entirely online course significantly correlated with the students’ grades. Also,the time spent interacting with the instructor had positive effects on the final learning outcomes[13]. Agudo-Peregrinal et al. (2014) looked at Moore (1989) and Hillman et al.’s (1994)interaction types and their correlation
, Student 6noticed missing representations in their conceptual model. Students 5 and 12 expressed theyadded additional descriptive details to their models like parking lots, arrows, words, andsediment to their second models. While noticing details and context is important to anyengineering design activity, the way in which quality was determined showed that many students(27/39 students for pictorial quality and 23/39 students for numerical quality) did not change inquality. Below we provide the conceptual models of Student 5, shown in Figure 4. (a) Before activity (b) After activity Figure 4: Conceptual models of Student 5Student 5’s conceptual model before the peer comparison
Higher Education to Enhance Graduate Employability: Rethinking the Possibilities, p. 109, 2019.[4] E. Australia, "Stage 1 competency standard for professional engineer," Engineers Australia, pp. 1-6, 2011.[5] C. S. Nair, A. Patil, and P. Mertova, "Re-engineering graduate skills–a case study," European journal of engineering education, vol. 34, no. 2, pp. 131-139, 2009.[6] A. Grocutt et al., "DEVELOPMENT OF THE INDIVIDUAL AND TEAM WORK ATTRIBUTE AMONG UNDERGRADUATE ENGINEERING STUDENTS: TRENDS ACROSS 4 YEARS OF ASSESSMENT," Proceedings of the Canadian Engineering Education Association (CEEA), 2020.[7] U. National Academy of Engineering, The engineer of 2020: Visions of engineering in the new century
semester reports. There was a total of 23 reports (Semester A – N = 8, Semester B – N = 7, Semester – N – 8) with a maximum of 8 reports per semester. Theme 2, regulation in healthcare had the highest frequency (1.65 text references/report, 38 references,/23 reports). When comparing theme 4, public health perspectives between class cohorts, Semester B had the highest frequency (0.43 text references/report, N=8). atient compliance Degree in which a person adheres to medication or medical advice ase of administration rocess of a person ta ing medication is simplified ood and Drug dminstration .S. regulatory body guiding pharmaceutical development and uality Clinical trials
obtain a pool of respondents and facilitate interview selection in a largerphenomenographic study. This paper presents the results from the survey, and focuses ondeveloping a better understanding of mentoring in K-12 STEM outreach programs through theresearch question, Do K-12 STEM outreach program characteristics differ between programsthat are and are not believed to foster mentoring relationships between university and K-12students? The survey yielded useful responses from 61 program coordinators representing 131K-12 STEM outreach programs. Tests for association between individual program characteristicsand program coordinators’ beliefs about mentoring in their program(s) and a binomial logisticregression model were carried out using IBM SPSS
[23]–[25].The value of fields external to traditional computing are explored through frameworks which canhelp orient one's praxis within computing. This includes frameworks for thinking about activism(i.e. praxis, intersectionality), interactions between technology and society (i.e. sociotechnicalsystems, technological determinism, and technological solutionism, and the New Jim Code [26]),and intervention (i.e. critical participation). By exploring alternative ways of orienting one'spraxis in computing, students are empowered to consider the central question of the module—from where do I want to frame my interventions and what could my conceptual framework(s) tolook like?The second module, titled “Inclusion as Intervention,” explores what it
Education, 2021 Culturally Responsive Engineering Education: Creativity through “Empowered to Change” in the US and “Admonished to Preserve” in Japan Author(s) InformationAbstract:Enhancing creativity is an indispensable goal of many engineering courses. However, withflourishment of global collaboration in various engineering classrooms and best educationalpractices being replicated across cultures, there are not many curriculum interventions thatoriginate from students’ diverse cultural needs. When cultural differences are ignored, studentsmay get culturally biased grades and face confusion and difficulties. For instance, the notion of“disruption” and “breakthrough” in product design innovation is
://www.sciencemag.org/careers/2013/05/myidp). Consider drafting a PowerPoint to inform an initial conversation with your advisor, committee, and/or mentoring team. Draft a bio for inclusion in the NRT website. Visit www.cases2020.org and identify one session each in break-out sessions I and II you are interested in moderating. Sign, date and submit the consent to participate form!Onboarding and Orientation Event Agenda 1. Introductions – 1-2 mins per person. Share as many details as you can/want academically/professionally (e.g., UG/Grad institution(s), UK Department, research interests, expected career path) and personally (e.g., where are you from, hobbies, etc.). 2. Brief description of/questions about the
[5] Mentzer, N. (2014). Team based engineering design thinking. Journal of Technology Education 25.2 (2014): 52-72.[6] Atman, C. J., Adams, R. S., Cardella, M. E., Turns, J., Mosborg, S., & Saleem, J. (2007). Engineering design processes: A comparison of students and expert practitioners. Journal of Engineering Education, 96(4), 359–379.[7] Schön, D. (1979). Generative metaphor: A perspective on problem-setting in social policy. In A. Ortony (Ed.), Metaphor and Society (pp. 254–283). Cambridge: Cambridge University Press.[8] Dorie, B. L., Cardella, M., & Svarovsky, G. N. (2014). Capturing the design thinking of young children interacting with a parent. 2014 ASEE Annual Conference &
within thecurriculum 4 . This paper presents the design and educational merit of a low-cost, portable,multidisciplinary pendulum platform that enables students to conduct experiments remotely. Thissystem aims to address the high-cost, lack of mobility, lack of accessibility and large spaceaccommodations that traditional dynamic systems and controls learning platforms present.The learning outcomes are similar to their traditional high-cost counterparts and include: systemidentification, modeling, simulation, s-domain analysis, frequency-domain analysis, and feedbackcontrol principles. Further setting this low-cost experimental system apart from others is the openarchitecture. The hardware is comprised of common off-the-shelf components and 3D
consistency is dependent of cycle time.RTR analysis is based on programming the robot to move during a particular path design. The programcontent is to run at different setups of speeds and terminations as follows: (1000 mm/s @ 0% CNT),(1000 mm/s @ 100% CNT), (2000 mm/s @ 0% CNT), and (2000 mm/s @ 100% CNT). This research paperarranged in the following manner that section 2 for the variables analysis and section 3 results andanalysis and section 4 is to conclude the findings and record the recommendations for the future work.2. Programming Variables AnalysisIn order to understand the problem of the correlation between cycle time and consistency with otherrobot variables it should first be realized what variables that we are analyzing. Variables
have difficulty explaining what they did to others.Personality CharacteristicsA variety of personality assessment tools exist, and several can be easily accessed online. One ofthe most well-known ones is the Myers-Briggs Personality Type Indicator® (MBTI). The MBTIidentifies 16 different personality types founded on preferences in four major categories based onJung’s Theory of Psychological Types. MBTI results indicate whether a person tends to beextroverted (E) or introverted (I), sensing (S) or intuitive (N), thinking (T) or feeling (F), andjudging (J) or perceiving (P). Extroverted people focus on those around them, while introvertedpeople focus within themselves. Sensing people interpret information through facts and details
program and thelibrary to implement a credit-bearing, experiential learning, course focused on integratingnew technologies into the library. The poster will provide background information onboth the Vertically Integrated Project program and the course hosted by the library, detailthe current undertakings of students in the course, and discuss the future directions theproject is aiming for.Background - Vertically Integrated ProjectsThe Vertically Integrated Projects (VIP) program started in the early 2000's at PurdueUniversity [8]. Since its beginnings VIP has grown into a global consortium with over 40participating universities in nearly one dozen countries [9]. VIP programs at NYUconsist of credit-bearing courses based around faculty research
, Educating the engineer of 2020: Adapting engineering education in the new century. National Academies Press, 2005.[2] C. C. Martin, W. C. Newstetter, and J. M. Le Doux, "Inclusion requires a comprehensive understanding of justice," Journal of Engineering Education, vol. 108, no. 4, pp. 453-458, 2019, doi: https://doi.org/10.1002/jee.20296.[3] X. Bai, A. Ola, E. Eyob, S. Reese, S. Akkaladevi, and D. Downing, "Another look at textbook usage by college students," Issues in Information Systems, vol. 20, no. 4, pp. 35-44, 2019.[4] C. M. Burchfield and T. Sappington, "Compliance with required reading assignments," (in English), Teaching of Psychology, vol. 27, no. 1, pp. 58-60, Win 2000, doi: https://psycnet.apa.org/record/2000
that needto take place in order to generate new knowledge. By the end of the module, it is anticipated thatstudents will be able to start on their project(s), although many of the items they were introducedto in this module will be developed in more depth in later ones.Module 2: Research PracticesIn the second module, the course goes into more detail on how to go about conducting research,in terms of actual activities that take place. It begins with a section on dividing projects intodistinct tasks, then covers sections on effort planning, scheduling, and effort reporting. It nextcontains sections on practices important to working with others and progressing, includingteamwork, file sharing practices, seeking help, staying on task, and
development of a low-cost cold storage system to provide farmers with more control over the delivery of fresh produceto market, increasing income through more effective market timing. The second addressed foodloss in the red chili supply chain through implementation of a system to dry chilies at the primarylevel of farming. These projects became two of the six offered in ME 170’s inaugural year.Project continuityWhile continuity/longevity was not a specific criterion for initial project selection, each teamdeveloped specific parameters for future work as part of their final deliverables. In parallel, theteaching team worked closely with the Precourt Institute and the Haas Center to identifyopportunities for students to continue their work through
. Hilliam, H. Stoneley, and M. Townend, “Quantitative Analysis of Qualitative Information From Interviews: A Systematic Literature Review,” J. Mix. Methods Res., vol. 8, no. 2, pp. 139–161, 2014.[7] H.-B. Sheu and L. Phrasavath, “Social cognitive career theory,” in Contemporary Theories of Career Development, no. January 2002, Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2018, pp. 47–60.[8] R. W. Lent, S. D. Brown, and G. Hackett, “Social Cognitive Career Theory,” in Career Choice and Development, 4th ed., Jossey-Bass, 2002, pp. 255–311.[9] R. W. Lent and S. D. Brown, “On conceptualizing and assessing social cognitive constructs in career research: A measurement guide,” J. Career Assess., vol. 14
: I = industry, RRCC = Red RocksCommunity College, M = Mines, S = student/personal] –assessments and modules will initially be piloted in industry,then additional resources will be rolled out to all four settings.AcknowledgementThis material is based upon work supported by the National Science Foundation under GrantNumber 1935674. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.ReferencesAguilar, L., Walton, G., & Wieman, C. (2014). Psychological insights for improved physics teaching. Physics Today. 67(5): 43-49.Bandura, A. (1997). Self-efficacy: The Exercise of Control. W H Freeman/Times Books
furtherexpand the PBH implementation by increasing the number of project-based activities and makingthe PBH assignments a required course activity in the next semester and continue to evaluate thestudent performances. The preliminary data obtained in this study from the first round of PBHimplementation is encouraging considering these experiments were devised and completed bythe students using simple objects and items while in the middle of the COVID-19 pandemic. Theauthors will continue their efforts in improving the PBH implementation process in future studiesthrough the above mentioned measures to enhance student learning and student success rates inthe Dynamics course.References[1] S. A. Ambrose, M. W. Bridges, M. DiPietro, M. C. Lovett, and M. K
over.References[1] A. C. Carius, “Teaching Practices in Mathematics During COVID-19 Pandemic: Challenges for Technological Inclusion in a Rural Brazilian School,” Am. Sci. Res. J. Eng. Technol. Sci., 2020.[2] A. Khirwadkar, S. Ibrahim Khan, J. Mgombelo, S. Ratkovic, and W. Forbes, “Reimagining Mathematics Education During the COVID-19 Pandemic,” Brock Educ. J., 2020, doi: 10.26522/brocked.v29i2.839.[3] E. M. Mulenga and J. M. Marbán, “Is covid-19 the gateway for digital learning in mathematics education?,” Contemp. Educ. Technol., 2020, doi: 10.30935/cedtech/7949.[4] J. König, D. J. Jäger-Biela, and N. Glutsch, “Adapting to online teaching during COVID- 19 school closure: teacher education and teacher
Conference on Construction and Real Estate Management, 2018, pp. 125–131.[2] N. Labonnote, A. Rønnquist, B. Manum, and P. Rüther, “Additive construction: State-of- the-art, challenges and opportunities,” Autom. Constr., vol. 72, pp. 347–366, 2016, doi: 10.1016/j.autcon.2016.08.026.[3] P. Pradhananga, M. ElZomor, and G. S. Kasabdji, “Identifying the Challenges to Adopting Robotics In the U.S. Construction Industry,” J. Constr. Eng. Manag., 2021.[4] P. Wang, P. Wu, J. Wang, H. L. Chi, and X. Wang, “A critical review of the use of virtual reality in construction engineering education and training,” Int. J. Environ. Res. Public Health, vol. 15, no. 6, 2018, doi: 10.3390/ijerph15061204.[5] A. Shepherd and B
: Theory, research, and practice, B. R. Ragins and K. E. Kram, Eds., ed Thousand Oaks, CA: Sage, 2007, pp. 3-15.[7] G. Crisp and I. Cruz, "Mentoring college students: A critical review of the literature between 1990 and 2007," Research in Higher Education, vol. 50, pp. 525-545, 2009.[8] B. R. Ragins and K. E. Kram, The handbook of mentoring at work: Theory, research, and practice: Sage Publications, 2007.[9] D. J. Levinson, The seasons of a man's life. United States: Random House LLC, 1978.[10] S. C. de Janasz and V. M. Godshalk, "The role of e-mentoring in protégés’ learning and satisfaction," Group & Organization Management, vol. 38, pp. 743-774, 2013.[11] H. Lee and S. Noh, "Educational use of E