(Bahia), Brazil” in the Proceedings of the 2019 ASEE Annual Conference, Paper ID 26202,Tampa, June, 2019.[10] Building Better Bridges into STEM: A Synthesis of 25 Years of Literature on STEMSummer Bridge Programs. Michael Ashley,† Katelyn M. Cooper,† Jacqueline M. Cala, and SaraE. Brownell*CBE Life Sci Educ December 1, 2017 16:es3. DOI:10.1187/cbe.17-05-0085[11] Merriweather, S. Lamm, H. Walton, S. Butler-Purry, K. Rausch Jr., J. Harris, K . TAMUSLSAMP Project: 25 Years of Success - Finding and Implementing Best Practices for URMSTEM StudentsAmerican Society for Engineering Education, 2017 Paper ID #18491[12] Pando, M. Suarez, L. Rodriguez-Marek, A. Loree Dika, S. Wartman, J. Asimaki, D. Cox, B.A Bridge To The Doctoral Program Strategy For
. It falls into the directive category because she is using rhetorical questioning toremind the students of a different homework problem and the procedure that they used there.This pattern held across morning and afternoon sections. That is, while there was a small shift inwhich was higher between the morning and afternoon, narrow eliciting and directive advancingwere still significantly higher than any of the other categories.LA1’s move distribution 20% Percent coded of all 15% utterances 10% 5% 0
tosynthesize knowledge across multiple domains, modes of inquiry, historical periods, andperspectives, as well as the ability to identify linkages between existing knowledge and newinformation. Individuals who engage in integrative thinking are able to transfer knowledgewithin and beyond their current contexts. We collected two things to assess the above objectivesbroadly for the University: 1. Student scores on the element(s) of the assignment aligned with integrative thinking (scored using the rubric developed in collaboration with faculty teaching integrative thinking courses provided in Appendix A). 2. Students’ perceptions of their own integrative thinking skills collected via a survey administered by OPA later in the
students Cons: real time, and sometimes, it does not fit • sleep analysis • hard to retrieve data real correctly and would slip off our finger. It time also doesn’t give much usable data.” • Non-adjustable Muse Headband (2 • EEG • two versions to Pros: “Trying to add a plethora of features to a and S) ($250-$350) • heart rate compare • collects multiple types of device makes it more complicated and • PPG • Muse S can
. In addition, a classroom with desktop computers will be used toreduce the usage of personal laptops that created a disconnect within the groups during dataanalysis.References[1] Perkins, D. (2006) “Constructivism and troublesome knowledge.” Overcoming Barriers to Student Understanding, edited by Jan Meyer and Ray Land, Routledge, London, pp. 33-47[2] Tambychik, T., & Meerah, T. S. M. (2010). Students’ difficulties in mathematics problem- solving: What do they say?. Procedia-Social and Behavioral Sciences, 8, 142-151.[3] Wolff, M., et al. (2015) "Not another boring lecture: engaging learners with active learning techniques." The Journal of emergency medicine 48.1,85-93.[4] Le Doux, J. M., and Waller, A.A. (2016) "The Problem
8 +/- 1 32 +/- 5 8 +/- 1 Proceedings of the 2004 ASEE Gulf-Southwest Annual Conference Texas Tech University Copyright © 2004, American Society for Engineering Education Dtank = 2.866 +/- 0.0079 Dhole = 0.372 +/- 0.001 hf = 1.125 +/- 0.0312 hi = 1.875 +/- 0.0312 G F E D A ACT 3 4 5 6 7 8 9 Time (s)Figure 4 : Team A-G estimates of drain time compared with actual for Tank #1. Dtank = 4.078 +/- 0.1158
Science, Engineering and TechnologyDevelopment4 made the following statement: As we enter the twenty-first century, U. S. jobs are growing most rapidly in areas that require knowledge and skills stemming from a strong grasp of science, engineering, and technology. In some quarters – primarily information technology – business leaders are warning of a critical shortage in skilled American workers that is threatening their ability to compete in the global marketplace. Yet, if women, under-represented minorities, and persons with disabilities were represented in the U. S. science, engineering, and technology (SET) workforce in parity with their percentages in the total workforce population, this shortage could largely be
/aimag.v40i4.5289[2] S. Anwar, N. A. Bascou, M. Menekse, & A. Kardgar, (2019). “A Systematic Review of Studies on Educational Robotics”. Journal of Pre-College Engineering Education Research (J-PEER), 9(2), Article 2. https://doi.org/10.7771/2157-9288.1223[3] National Science and Technology Council Committee on Technology. 2016. “Preparing for the future of Artificial Intelligence”. Technical Report. Office of Science and Technology Policy.[4] J. J. Lu and L. A. Harris. 2018. “Artificial Intelligence (AI) and Education”. Technical Report. Congressional Research Service. https://fas.org/sgp/crs/misc/IF10937.pdf[5] T. Narahara and Y. Kobayashi. 2018. “Personalizing homemade bots with plug & play AI for
Reviews, vol. 66, no. 4, p. 040802, 2014, doi: 10.1115/1.4026911.[4] E. Rietman and J. Glynn, "Band-gap engineering of phononic crystals: a computational survey of two-dimensional systems," arXiv preprint arXiv:0708.3669, 2007.[5] H. Ammari, H. Kang, and H. Lee, "Asymptotic analysis of high-contrast phononic crystals and a criterion for the band-gap opening," Archive for rational mechanics and analysis, vol. 193, no. 3, pp. 679-714, 2009.[6] S. Vemuganti, J. C. Stormont, L. J. Pyrak-Nolte, T. Dewers, and M. R. Taha, "Cement sensors with acoustic bandgaps using carbon nanotubes," Smart Materials and Structures, vol. 30, no. 3, p. 035011, 2021.[7] O. Sigmund and J. Søndergaard Jensen, "Systematic
researched numerous papers © American Society for Engineering Education, 2022 2022 ASEE Midwest Section Conferenceto understand Computer Vision and Facial Recognition to take on this task. I also have years ofapp development experience, so I was uniquely poised to create a mobile app that can achievequick, easy diagnosis of Acromegaly so that I can help all those get the treatment they need toprevent Acromegaly from permanently harming their lives.References[1] M. S. Broder, E. Chang, D. Cherepanov, M. P. Neary, and W. H. Ludlam, “INCIDENCE AND PREVALENCE OF ACROMEGALY IN THE UNITED STATES: A CLAIMS- BASED ANALYSIS,” Endocrine practice: official journal of the American College of
[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
developedcountries. Of course, like any institution, there are problems in producingPh.D. s efficiently. Motivation of faculty and students alike seems to 1be the key to solving these problems. The student must realize that hisoutput has to be high. The faculty member must make sure that thestudent's experience in research will be such that he can continue tomake creative contributions throughout his entire life. Even though the graduate programs are young and have many deficien-cies, there is rapid improvement, for many reasons: (a) the biblio-graphic resources are being improved; (b) local industry is becomingmore dependent on higher level technology, forcing an interest in re-search;2 (c) individual research groups are highly motivated and
experiences. It seems like there iscurrently a lack of clarity around the current learning objectives for teaming. Future work willbe dedicated to completing the interviews and analysis. After that, the results will bedisseminated in order to build a shared vision within the department regarding learningobjectives for teaming and scaffolding instruction to achieve the desired goals.References[1] ABET. https://www.abet.org/accreditation/accreditation-criteria/ (accessed 20 January, 2020).[2] M. Borrego and C. Henderson, "Increasing the use of evidence‐based teaching in STEM higher education: A comparison of eight change strategies," Journal of Engineering Education, vol. 103, no. 2, pp. 220-252, 2014.[3] S. Sangelkar, B. E
information: 1) major targeting, 2) previous information about thehiring pool, and 3) recruiter experiences or extra information. Major targeting questionsencompassed answers about which, if any, major(s) companies specifically looked to hire or nothire at the career fair. These questions held basis in the fact that company profiles for the careerfair website included a list titled “Majors Hiring” [5]. Questions under ‘previous information’included answers about any information the recruiters had about the major or students beforevisiting the university. This information could come from the university itself, digitally orhardcopy, through word of mouth or from first hand experiences. The final category, recruiterexperiences, comprised a catch all of
did notparticipate in the program. Evaluation data also indicated that students were highly satisfied withthe shadowing experiences. More research is needed to examine how the social cognitive factorssuch as coping, efficacy and outcome expectations are working to influence students’ outcomes.References[1] R. W. Lent, S. D. Brown, and G. Hackett, “Toward a unified social cognitive theory ofcareer/academic interest, choice and performance,” Journal of Vocational Behavior, vol. 45, pp. 79-122,1994.[2] R. W. Lent, S. D. Brown, and G. Hackett, “Contextual supports and barriers to career choice: A socialcognitive analysis,” Journal of Counseling Psychology, vol. 47, pp. 36-49, 2000.[3] H. B. Sheu, R. W. Lent, S. D. Brown, M. J. Miller, K. D
. 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
supplement or complementhome household assets within the classroom. Additionally, future research shouldexamine whether the effect of educational assets extends to other educational contextsfocusing on numeracy across the globe. © American Society for Engineering Education, 2021 2021 ASEE Illinois-Indiana Section Conference Proceedings | Paper ID 35169References[1] Uwezo. (2017). Are Our Children Learning? Lessons from Uwezo learning assessments from 2011 to 2015. Twaweza.[2] Heyneman, S., & Loxley, W. (1983). The effect of primary school quality on academic achievement across twenty nine high and low income countries (No. REP268; pp. 1–37). The World Bank.http://documents.worldbank.org/curated/en
; • Enabling students to find and communicate information effectively; • Improving the ability of students to reflect on their own learning history; and • Increasing the understanding of a student’s own learning strengths and weaknesses.Such sustainable learning practices are akin to the old adage that if you give a person a fish, s/hewill eat for a day, but if you teach a person to fish, s/he will eat for a lifetime (assuming the fishsupply and techniques are sustainable!).When examining the physical sustainability limits of learning systems, it is important to considerthat cognitive learning generally pertains to the acquisition, manipulation, and application ofinformation. In this context, the medium/technology through which the information
relevant information. The volume of solid, fine solid and fluid are considered64,872m3, 27,540 m3 and 92,412 m3, respectively.The density of solid, fine solid and fluid are assigned as 2650 kgm-3, 2000 kgm-3 and 1000 kgm-3.The internal and basal angle of friction for solid is assigned 25 and 8; for fine solid is 10 and4. The kinematic viscosity for fine solid and fluid phase are assigned 102 m2/s and 10-3 m2/s,respectively.ResultsFindings of field studyThe studied Kalli landslide and debris flow areas lie within the Suntar Formation of the lesserHimalaya comprising fine to medium grained green gray sandstone alternatively with purpleshale. Several micro fold with differential weathering of Shale and sandstone is observed aroundthe crown and
Task Load Index was adopted tomeasure the problem rigor. This paper will compare textbook and YouTube problems with respectto problem-solving ability and at each stage of problem solving. Furthermore, we will investigatewhether disparities exist in students’ perceptions when solving VLE problems. 2MethodsProblems considered in the current study represent part of homework sets completed by studentsin a MEB course. We considered three problems from the VLE topic — one Textbook homework(traditional homework problem) and two YouTube problems (see S.1 for problem statements).The intervention constituted of a group of 182 students (40% females) across two academic yearsfrom a large public university
2000” Technical Communication Quarterly, 10(2), 2001, pp. 149-soft skill information would have been better served earlier 167.in their engineering coursework, and that they did not see a [12] Burrows, A. C., & Harkness, S. S. “Experiencing action evaluation’sreason for it so late in the graduation requirements. The first cyclic process: partnering conflict, reflection, andauthor was discouraged that the student group did not make action” Educational Action Research, 24(4), 2016, pp. 460-478.a connection with future engineering positions and projects