mapping. Science, 331, p 772-775.[10] G.D, Kuh, J. Kinzie, J.H. Schuh, E.J. Whitt, 2005. Student success in college. San Francisco: Jossey‐Bass. p 193.[11] M.C. Lovett. “Using Reflection and Metacognition to Improve Student Learning”, 2013. Stylus Publishing. p 23.[12] S. A. Ambrose, M. W. Bridges, M. DiPietro, M. C. Lovett, M.C., M. K. Norman, 2010. How Do Students Become Self‐directed Learners? In: How Learning Works: Seven Research‐based Principles for Smart Teaching. San Francisco: Jossey‐Bass. p 188– 216.[13] J. Metcalfe. “Learning from Errors”. The Annual Review of Psychology. 2017. 68:465-89.[14] H. Haron and A.M. Shaharon. “The Pedagogical Issues in Engineering Statics”. In Proceedings of the International Conference of
reflect the self-regulative learning experiences oflearners.The MSLQ in the Freeform context In 2008, an active, blended, and collaborative (ABC) teaching and learning environmentfor a core engineering science course (Dynamics), named Freeform, was developed and adoptedby a team of mechanics instructors [28]. With the goal of a student-centered classroom, Freeformtransformed a lecture-based pedagogical environment to a highly-networked pedagogicalenvironment. The hybrid nature of course resources (i.e., instructor-produced videos, hybridtextbooks which combined a traditional textbook and significant white space for note taking, anda course blog) allowed the students to actively, collaboratively engage in the class and managemultiple
-sponsoredCenter for Innovative and Strategic Transformation of Alkane Resources (CISTAR). This studyuses a Delphi methodology, which is a systematic solicitation and collection of feedback from apool of experts (approximately 10-30) on a particular topic through a set of carefully designedsequential surveys. In between survey collection rounds, data are synthesized, summarized, andpresented back to the experts for reflection and group consensus building. Once consensus for thisstudy is reached, the list of skills and competencies will be used in the center’s graduate courses,summer programs (e.g., Research Experiences for Undergraduates, Research Experiences forTeachers), and K-12 outreach efforts.MotivationChemical engineering evolved in the early to
, and WE Engage! in 2019, were developed to complement existingfreshmen student support programs, with a focus on specific target populations whose numbershave been historically low relative to the larger university population and surrounding areas.Engage ME! is a diversity and inclusion program developed to recruit, retain, and graduatemulticultural COE students. While open to all students, Engage ME! emphasizes engagementwith African American, Hispanic/Latino and Native American students for personal, academic,and professional development. Although the UNC Charlotte student body reflects the diversity ofour community, the same cannot be said for the COE. Underrepresented students from ethnicand racial minorities account for 41% of the
time, the time of day the lecture is offered,and the switch to a different open response system might have all contributed to an increase inknowledge gain. In addition, the instructor was more experienced with the implementation ofthe pedagogy.EML activities are going to continue to be drafted, improved, and implemented into othersections of the course. This includes topics such as transmission line theory, magneto-statics,time-varying fields, plane-wave propagation, and wave reflection and transmission. The authoris not aware of a concept inventory that can be applied to measure knowledge gain in the areasrelevant to engineering electromagnetics. The CUE-CMR does facilitate the measuring ofknowledge gain in terms of conceptual electrostatics
other cases, the complexinterplay between these two factors is completely ignored [22].Lastly, the subjectivity of those scoring the responses plays a large role in the outcome of theresults. As mentioned above, before scoring can take place a categorization process is sometimesnecessary. This is done in order to calculate the flexibility dimension. Scorers judge the meaningor intent of a response based on their understanding, and hence, subjectivity is inherent to theprocess. In this paper, we use the dimensions of originality, flexibility, fluency, and elaboration,as presented by Bayliss [28], as the foundation for our scoring method. We provide details of theproposed scoring method in Section 3, along with a reflection on the problems
important to its members because it has helpedthem fully integrate their multiple identities into their work. The group supports members’identity development, which enhanced their ability to be supportive of LGBTQ+ students.The current study has a few limitations that can be addressed in future work. First, the currentpaper only reports a fraction of the emergent themes. Second, the VCP members interviewed forthe project were self-selected and may not be reflective of STEM faculty not participating in theVCP. In addition, the linguistic and conceptual analysis is not presented here as the interpretationis ongoing and will be deepened in future rounds of analysis. Finally, due to research stafflimitations iterator reliability has not been performed
will use the list of themes and codes developed by Garcia etal.’s (2019) servingness framework as a starting point of a priori codes, while also employingopen coding to identify structural characteristics that are specific to this context and do not fit thelist of codes in Garcia’s study. To identify the cultural characteristics, we will utilize valuecoding, defined by Saldaña (2016) as the application of codes unto data that reflects the values,attitudes, and beliefs about the phenomenon under study [21]. In this case, these codes will applyto the institution’s values, attitudes and beliefs about their role in serving Latinx students. Oncethe structural and cultural characteristics have been identified, we will conduct a second round ofcoding
classes (MTE, ME) received an additional workshop on problem finding. 4. One class (MTE) was required to write a reflection on the field experience. This paper presents the first steps in evaluating the efficacy of the interventions. Toperform this evaluation, two research questions were posed: 1. How do students identify, select, and justify their capstone design project problem statement, and are there structural differences in how students who received the intervention perform this step, versus other students? 2. Were the interventions helpful in teaching students about needs identification? This paper specifically looks at student perceptions of their design methods and thehelpfulness of the interventions. A
addition, the data for number of minutesbetween the first and the last attempt did not reflect a consistent trend of one group taking moretime than the other. It is possible that these results are not the best metric of learning efficiency, Category Solution Explanation Expected This solution represents what we ex- numODD = 0; pected as a solution - a while loop that %Add your while loop here iterates through a range of numbers, n = 1 while n <= 7 checking if the current number is odd if rem(n,2) ˜=0 (and
infacilitating communication between stakeholders and for helping to achieve many importantgoals of the project. These personnel include Mr. Daniel Sullivan, the STEM-NSF Grant ProjectManager, Ms. Elaine Young, the NSF Grant Coordinator, Ms. Eileen Swiatkowski, SeniorGrants Specialist, and Ms. Kathryn Strang, Director of Compliance, Assessment and Research.The authors also wish to gratefully acknowledge the support of the National Science Foundation(NSF), through the Division of Undergraduate Education DUE), which made this effort possibleunder DUE-1601487. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.The authors
supported by the faculty as a good learning experiencein Intellectual Property management. The fact that this activity was initiated by the students reflects thesense of ownership developed by the students and their confidence in the long-term value of the design. 12The overall student experience was very positive with all participants recommending the introduction ofsuch projects in the regular instruction process. Students gained not only the skills, but the appreciationfor the skills needed to work together in a group to succeed in a project that encompassed manydisciplines. Student comment: “I believe projects such as this should be run
Conference, June 14, 2014,Indianapolis, IN, USA. 3. Next Generation Science Standards, http://www.nextgenscience.org/implementation, accessed on 12/10/2014. 4. F. C. Berry, P. S. DiPiazza and S. L. Sauer, “The future of electrical and computer engineering education," IEEETransaction on Education, Vol. 46, no. 4, pp. 467-476, 2003. 5. G. Gross, G.T. Heydt, P. Sauer P. and V. Vittal, “Some reflections on the status and trends in power engineeringeducation, IERE Workshop: The next generation of power engineers and researchers”, Montreal, Quebec, Canada,10 Oct. 2003. 6. G. Joós, “Training Future Power Engineers”, IEEE Power and Energy, Jan./Feb. 2005, pp 38-47. 7. D. Ray, and F. Wayno, “Collaboration to Facilitate Research and Education in a
learning and oftenchange their approach to studying for the class. Continued frequent exams let the student knowif the changes to their study habits are working or not. Since they are guided in ‘best practices’,the later exams often show a marked improvement, reinforcing the value of structured practiceand learning.The second step is grading appeals. Rather than providing a detailed breakdown of a student’serrors, minimal marking is used. Students are graded on the 0% or 100% scale. They mustreview their work (with the help of detailed solutions), identify their errors, identify the type oferror (conceptual or minor), and in the case of minor errors, rework the problem to obtain the80% credit on the rubric. This structured reflection allows
was supported with funding from the National Science Foundation. Any opinions,findings, and conclusions or recommendations expressed in this material are those of the authorsand do not necessarily reflect the views of the National Science Foundation.References[1] Arendale, D. (1997). SI (SI): Review of research concerning the effectiveness of SI from theUniversity of Missouri-Kansas City and other institutions from across the United States.[2] Dawson, P., van der Meer, J., Skalicky, J., & Cowley, K. (2014). “On the effectiveness of SI: Asystematic review of SI and peer-assisted study sessions literature between 2001 and 2010” Review ofEducational Research, 84 (4), 609–639.[3] Scott Steinbrink, Karinna M. Vernaza, Barry J. Brinkman
was above 4.0/5.0 across all topics in both manufacturingexcellence session and manufacturing quality excellence session [25]. That being said, averagescore for the non-destructive evaluation (NDE) module in Manufacturing Quality Excellencesession was slightly lower (approximately 3.75/5.0) than those for other modules. The lowerscore for NDE could be explained due to the larger amount and more technical nature of thelearning materials as reflected in the participant’s open-ended comments. In overall, the higherthan target (3.5/5.0) course evaluation scores demonstrated that the professional developmentsessions were able to meet course objectives in terms of renewing/enhancing participants’ HVMskills set.5. ConclusionsThe National Science
Office of the Assistant Secretary for Research and Technology under GrantNo.1001814551. Any opinions, findings or conclusions expressed in this material are those ofthe authors and do not necessarily reflect the views of the U.S. Department of Transportation.The authors are greatly thankful to the students who participated in this study.References[1] Federal Highway Administration. (2009). Manual on Uniform Traffic Control Devices for Streets and Highways (Issue May).[2] National Work Zone Safety Information Clearinghouse. (2017). 2017 National Work Zone Fatal Crashes and Fatalities. Retrieved from https://www.workzonesafety.org/crash- information/work-zone-fatal-crashes-fatalities/#national[3] Brame, C., (2007). Active learning
specific system. Cache simulation tools provide support for diverse configurations ofthe system and help to capture the real world scenarios to ensure that the system performs at anoptimal level.We surveyed cache simulation studies to better understand the needs for cache simulation. Then,we designed numerous scenarios using different cache configuration and sizes to reflect thescalability. Keeping the focus on achieving maximum performance, cache associativity is alsoobserved and extensively studied to verify the gains in performance were made possible. Varioustypes of cache associativity were examined and their benefits and limitations are summarized. Wealso studies that the relationship between cache associativity and cache coherency. One
2019 Class 6 5 4Mean 3 2 1 0 1 2 3 4 5 6 7 8 9 10 Questions #1 to #10Figure 7: Student Responses Comparison between 2018 Class and 2019 ClassAssessment Results:Based on the survey results presented in Table 7 and Figure 7, we have made a few keyobservations: Most students felt that the course project was a valuable experience. Majority concurred that the course project helped their understanding of the RC circuit responses and the 555 timer. However, a few students from the 2019 class noted that they would hope to have more lecture time to cover the 555 timer functionalities, as reflected
steps to address it by improving thesyllabus of their existing courses and adding new courses to their curriculum. In the currentpaper, author recommended introduction to the concept and calculations of four ECMs inEngineering Thermodynamics course. In addition, the author provided a step-by-step proceduremanual for a field trip to the university central utility plant, which is available in manyuniversities across the U.S. A paper-based SET survey was conducted to capture students’attitude regarding self-efficacy using a Likert-type scale from 1 to 5. Based on the SEToutcomes, “My overall knowledge of the subject matter has increased” received a 4.27 out of 5which reflects the effectiveness of the implemented teaching methods discussed
theability to pivot among programs each week. To take a closer look at student pivot patterns, weconstructed visual diagrams to represent student workflow. In this section, we show multipleworkflow diagrams to visually represent how students worked on their programmingassignments during various weeks. A key question is "What are some observed pivot patterns?"6.1 Analysis and procedureTo visually represent student workflow, we created GANTT charts for each student for everyweek in the quarter. A GANTT chart shows activities displayed against time. Each activity isrepresented by a bar; the position and length of the bar reflects the start date, duration and enddate of the activity [11]. We chose this representation since GANTT charts allow us to see
solution,the need for proper procedures such as mesh convergence and verification and validation, andthe benefit of techniques such as a sensitivity study. As an instructor, one can only hope that inaddition to students gaining technical skills in a finite element course, that they also gain acontextual understanding of how to properly employ this technique. While ethical use of finiteelement model is certainly a topic of great relevance, it is outside of the scope of this work.However, the point should be made that ethical decision making can assist with difficultproblems in cases where some outcomes may seem cheaper or easier.AssessmentStudents were provided an opportunity to reflect on the course learning goals identified in thecourse at the
information; (2) The design and execution of the two winning ideas: Cosmic Song and Dark Origin; (3) A reflection on the opportunities and challenges of running and participating in this project as an undergraduate research experience. We will share lessons learned from this project in terms of promoting creativeengineering opportunities for a K-12 audience and regarding empowering undergraduate studentsto play lead roles in aerospace engineering projects. Additionally, we will discuss detailedinformation, including schematics, of the two payloads.Introduction The title of this international contest was “Art in Space.” It was inspired by the rock bandOK Go’s music video “Upside Down and Inside Out,” which was filmed in
Raw Adjustednecessarily reflect true differences. SESSION N Grouping Mean Mean 19AM 104 81.09% 81.46% AThe final model resulted in an RSQ of 18AM 100 77.87% 79.12% A B49.09% and included SESSION, 18PM 85 76.79% 77.47% A BMAJ, LABSCORE, HWSCORE, and 19PM 85 73.57% 75.46
pertaining to female and minority hiring and participation. The unit of analysis is the transcript of each interview or focus group. Researchers will also calculate the extent of match between AM educators’ perceptions and AM standards/certifications as well as use established instruments to measure the extent to which the new professionals report entrepreneurial and intrapreneurial intentions [27-29].Sampling NoteRural NW Florida is highly diverse, with over 30% of residents reporting that they are black,Hispanic, or of multiple races; the enrollments of the participating state colleges reflect theircommunities. Because an intent of this project is to increase participation in AM education andcareers, the research team will reach out to
datawhich are elements of authentic learning. This pedagogy allows the students to relate the mathand science concepts to engineering and real-life use.The effectiveness of the approach was assessed using a quasi-experimental within-subjectresearch design. The intervention was a week-long professional development workshop forteachers (Figure 1a) followed by a week-long summer camp for middle school students (Figure1b). The teacher professional development workshop included elements of best practices [23] i.e.(a) Content focus, (b) Active learning, (c) Collaboration, (d) Use of models and modeling, (e)Coaching and expert support, (f) Feedback and reflection. The teachers learned the basics ofphysics of flight, aircraft flight controls and practiced
distributed understanding of the concepts was sought withcognizance to the difficulty that different members of the team would experience inunderstanding the new material. Finally, the positive reception of the company to the course andfeedback gave some insights as to the utility of the short course model, as well as someimprovements which could be made in developing more courses of a similar type. This shortcourse was a positive experience for all stakeholders and reflects an opportunity for engagementin the workplace.References[1] E. De Graaff and W. Ravesteijn, “Training complete engineers: Global enterprise andengineering,” European Journal of Engineering Education, vol. 26, no. 4, pp. 419–427, 2001.[2] National Academy of Engineering, The
and with organizations such as 4H programs that couldprovide important local support for students. In the final phase of our study, we plan to share thisinformation through participatory design workshops with key groups of community memberswho work with rural students.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantNumber 1734834. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] State Council of Higher Education for Virginia (SCHEV), “The Virginia plan for higher education: Annual report for 2016 to the General Assembly of
entire process of curricula and project.Evaluation systemDifferent from the traditional simple book-exam testing method, the new evaluation systemfor each related course should score a student in the perspectives of comprehendingapplication of knowledge and the abilities of engineering practice. Because the eight coursesin this draft are interconnected through “handwriting robot” project, the realization of“handwriting robot” can reflect a part of students’ learning outcomes. The syntheticevaluation system consists of the usual-time performance (20%), final examination (30%)and achievement demonstration and result defense (50%), which applies to every course.Moreover, considering the difference in students’ abilities and encouraging students to
can to encourage students to become more independent learners.4.2 Independent learners and homeschooling practiceThere is evidence to suggest that the homeschooling lifestyle tends to impart independent learningskills to its students [9, 10], and that engineering freshmen coming from a homeschoolbackground are therefore more likely to take responsibility for their own learning [8]. This is onepossible reason why the homeschooled students from this study succeeded in engineering schoolat a higher rate than their equally mathematically equipped non-homeschooled peers.According to [8] and [11], some important characteristics of an independent learner are: • Critical reflection • Self-awareness (especially related to own learning