, consistency of contracts and recognizes valuable contributions • Employ an open loop evaluation system that allows ongoing tracking, [12] analysis, communication and synthesis and communication of findings for continuous improvement of the faculty and the institution • Require more equitable scrutiny and evaluation among various faculty [13] groups to communicate the need for quality irrespective of faculty status •Allow time for active learning for adjunct faculty including reflection, [12] writing and self-improvement audits College Communication • Integrate the use of two way communication platforms and powerful [4] technological tools into processes to help build rapport
also required in 2019 for the first time. These required the students to reflect on what theylearned and did the previous week and set goals for the following week. These were added to encourageself-paced learning, effective use of videos, and goal setting. The percentage of course grade comingfrom homework and a semester-long, group project was decreased to allow for the addition of videoquizzes and journal entries to the grading scheme.Population AnalysisThe dataset includes 156 students who completed the course across three years – 2017 and 2018, whichwere taught with a traditional instructional model, and 2019, which was taught using a flipped coursemodel. Student grade in the course, final exam score, cumulative GPA entering the semester
made strong statements such as “AI projects human needs or intentthrough computational reduction to serve human needs” and that AI is, “an automated method tospeed and improve decisions and outcomes to advance benefits to society.” These positivestatements were surprising since the second day of the workshop was dedicated to AI ethics,security and privacy. One possible explanation could be the optimism shared by workshopparticipants pertaining to AI and its potential to have positive impact in STEM and society.Participants’ AI definitions did reflect that although they didn’t have a common definition of AI,they recognized the role of computers and machines in expanding human knowledge andcapabilities. None of the participants parsed AI into
technical communication strategies developed over thecourse of the projects, as students work to develop an interactive means for the general public toexplore and understand their technical research.Discussion & Student FeedbackThis course exposes students to forms of technical communication beyond typical lab reports toresearch proposals, journal articles, and poster presentations that some engineering students maynever be given the opportunity to practice otherwise in their undergraduate experience. Thisexposure opens doors to new possibilities of what engineering work students thought they werecapable of, particularly within the first year of their college experience.Student experiences also reflect the course’s ability to prepare students
conditions in FEA software. Thedifficulties arise in ensuring the implemented loading and support conditions in the FEAsimulation reflect or match actual loading and support conditions of the real product.(3) The meshing and convergence where users need to define the global finite element size andfine mesh element size refinements in stress concentration areas or important areas. This can bedifficult for students to master. A convergence condition approach will be typically satisfied byusing smaller element sizes around stress concentration areas. The smaller element size meansmuch longer simulation time and much larger required internal memory for the computer.(4) Data analysis where users need to properly interpret and to verify the simulation
more severe. Onecurrent type of violation is contract cheating, first coined by Lancaster and Clarke in 2006, whichinvolves paying a third-party to complete an assignment instead of the student enrolled in theclass [4]. Some researchers have even discovered “ghost students,” in which a fee is paid foranother person or company to enroll in an online course for an entire semester on behalf ofsomeone else [5]. Even though contract cheating and ghost-students are extremely severeviolations because of the awareness of the deviousness of the act, the underlying motivations forthese types of violations often reflect the same causes as other forms of academic integrityviolations [4].Students have cited a variety of motivations for engaging in academic
opinions, findings, and recommendations expressed in thispaper are those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References 1. Utah Code and Board of Regent’s Policy Statements Regarding UVU’s Mission and Role: Planning, Budget, and Human Resources, UVU Planning, Budget, and Human Resources, September 21, 2018. 2. Information and statistics provided by the UVU Office of Institutional Research and Information – IRI. 3. U.S. Census Bureau, 2011, http://www.census.gov/popest/data/historical/2010s/vintage_2011/ , accessed on 3-14-2016. 4. Utah Department of Workforce Services, “College to career: Projected job openings in occupations that typically require a
class had online competency modules to help in classes.Working through these on the students’ own time was beneficial. One student stated that thisteaching approach elevated his confidence in his knowledge of the course content. During thefirst semester that this approach was tried, word got out to the students about the structure of theclass, and other students in the program asked when their classes would be structured in thisfashion.Figure 2 shows the distribution of when the video modules were watched. The review course wasoffered on Tuesday nights. Students tended to watch the videos immediately before class.Unfortunately, this did not allow time for reflection between watching the videos, taking theknowledge area assessment and asking a
tasks I do out of work vs play, not some and don’t boredom, reflect work and play vs over-anticipate on fulfillment sleep. others Resources Resources Resources Resources Keep physical Talking it through Like task 1, keep There’s several track of To-do’s, with people who physical sleep related buy a notepad know me well and documentation, apps that couldthat I can always who know what write it out to help carry with me to stresses me out keep myself keep me
activity.These many activities, then, are organized into a hierarchical breakdown of work referred to asthe Work Breakdown Structure (WBS).Once the WBS has been created, then a matrix can be created depicting the cumulatively definedwork on the vertical axis and individuals performing the work within the function on thehorizontal axis. Each function member, then, can reflect their fractional full-time equivalent(FTE) in the corresponding tiered elements (activities) of the original WBS, now depicted in theresponsibility assignment matrix (RAM).From these two entities, the WBS and RAM, human resource shortages and over staffing can beseen. Anything short of this process frequently creates what is commonly referred to as “knee-jerking” or “reactionary
nature of the load and respond by utilizing the appropriate component of the hybrid design. In the future, the controller will no oversupply the load, as can be seen from time 0 - 4.5 s, instead this power will be used to charge the battery. The load of the simulation will also be updated to accurately reflect the transition in demand of the variable load, opposed to the current, instantaneous changes in demand. This poses a future challenge of programming a controller to recognize the changing demands from the load and activate the battery to improve system response. ResultsI. Load Testing Testing the power draw of the trolling motor while testing it at various rpm settings was required to find the maximum power required to power the
from this course. - My understanding of engineering has not changed much, I pretty much know everything I knew coming into this. And know I just know a lot about climate change and a Copenhagen debate that didn’t solve any issues - The teacher used easy terms for us to understand the key ideas and how we can relate it to our life which helped us connect engineering to our lives. - My understanding of engineering has not changed because of this class because the professor only talked about climate change. Climate change has nothing to do with engineering. - Climate change has a lot to do with engineering.The self-reflections show that there were very different ways in which the students absorbedand
1, 33 < 0.001 0.319D. Learning Environments and Course EvaluationAs shown in Figure 8, students were all positive in describing the learning environment createdduring the course, such as collegial, motivating, productive, innovative, and positivelychallenging. While the course was neither harsh nor exhausting, it might be somewhat stressful,considering the rate of 4.28 over the neutral point.Figure 8. The Site learning environmentStudents all positively reflected the delivery of the Site program as shown in Figure 9.Figure 9. Overall delivery of the Site programThe effects of the Site program were all positive in their future plans, as presented in Figure 10.Figure 10. Impact of the Site program on future plansIV. DiscussionAfter
connect withone another and reflect on the information they have been exposed to throughout the day.As shown in fig. 6, the majority of teachers have already used, or are intending to use the activitykit provided. Some have even mentioned using activities from the website that were not part of thetrack they attended at the workshop but fit their classroom curriculum. There was a wide breadthin the ways teachers implemented their classroom kits. Some teachers mentioned they use theactivity as an introduction to a new concept, while others used them as hands on reinforcement ofa concept they had already taught in a traditional fashion. Teachers who used the kits mentionedthat they encouraged them to try new teaching strategies in their classrooms
-Technologist [30], [31] and sequencing exercises such as explaining how to put on a coat verbally to another girl. 7. Expand data collection to include reflection, usually in the form of exit slips at the end of class. 8. Design tools specifically targeted at the CT skills and practices relevant in the lesson of the day. 9. Add real-time in-class data collection hardware, such as Swivl video systems to capture conversations at multiple locations in the classroom.Data Analysis. Quantitative data, such as the engagement surveys, will continue to be analyzedby descriptive analysis. The small participant size excludes the application of popular methodsfor affective construct analysis. All qualitative data will continue
have been skewed by thepresentation of the topics in classes and the assignments. However, the data was collected across6-7 sections of the course taught by different instructors in each of the two years during whichdata was collected. Therefore, the data should reflect some averaging. For example, if oneinstructor taught sustainability well and with enthusiasm in one class, while another taught thetopic poorly, then the responses of students from one class should offset the responses from theother class when the data is pooled.Summary and Conclusions A survey-based study of first-year engineering students was conducted at the University ofNew Haven to determine their personality types and interest in topics such as visualization
[23], a Reacting To The Past game about climate change that was part of the Fall 2017 andFall 2019 semesters. Environmental movie nights took place on Wednesday nights at 7 PM at thelibrary with the librarian and the professor in attendance. Movies were also open to the widercampus community and the public. Students were encouraged to attend via a passport program.Climate Change World Café In addition to the environmental movie nights, first-year engineering students wereinvited to take part in a World Café on climate change during the Fall 2018 semester. One way tofoster resilience is through communication as students are bombarded with information aboutclimate change without the opportunity to digest, reflect, and consider steps for
modernized bachelor-level program at BSU’s MBE Department was developedbased upon a range of stakeholder inspirations, one of the most critical being student feedback.Through course evaluations and direct reflection of learning, undergraduates had requested moreflexibility with class selection, more hands-on engineering, and more themed learning tracks.The faculty recognized these inquiries to be of similar premise to those presented by numerousmechanical engineering education reform initiatives and publications. In these documents, thediscussion of the disassociation between industry needs and what mechanical engineers new totheir careers are prepared to provide is relentless. With the understanding that the presentcurriculum had not been
mathematicians, scientists, and engineers contains acode of ethics or a statement of ethical behavior. For example, ACM’s code of ethics states,“Computing professionals’ actions change the world. To act responsibly, they should reflect uponthe wider impacts of their work, consistently supporting the public good” [1]. This statementmakes it clear that a student cannot consider their work in a vacuum, and it also makes clear that astudent must connect their work to the impacts of that work.ABET accreditation guidelines for colleges and universities include a student outcome thatstudents from an ABET accredited undergraduate program will have “an ability to recognizeethical and professional responsibilities in engineering situations” [2]. The merging of
– Introduces a number of methods that can lead to new business ventures, including recognizing societal trends and market gaps, and discovering different ways to develop solutions to societal needs. 12. Innovating to Solve Problems Under Organizational Constraints – Introduces different types of innovation and problem-solving techniques in order to create a portfolio of practical solutions that reflect organizational boundaries and constraints. 13. Innovative Client-Centered Solutions Through Design Thinking – Describes two human- centered design thinking cycles and teaches how to apply design-thinking skills to a client-centered challenge. 14. Learning from Failure – Describes the difference between
’ practices and values also alignedfor both factors indicating they did what they believed was best for their success. There was,however, no alignment between students’ prioritization and their values. Early interventions thathelp balance students’ priorities, supported with ongoing reflective practice, may help bringstudents’ priorities, practices and values into alignment.LimitationsWe believe that the participants in this study represent all Canadian undergraduate engineeringstudents, but recognize they are not statistically representative. The findings of this survey mayhave a bias associated with non-response. Students who chose to complete the survey may havedifferent views from those who did not. It is also not known what other factors may
, University of Pittsburgh. She conducts research on education projects that focus on active learning and engineering professional development. Current research includes the propagation of active learning throughout the Swanson School and the use of systematic reflection and metacognitive activities within coursework. She received the Ph.D. in Industrial Engineering from the University of Pittsburgh and the MS in Mechanical Engineering from Case Western. She has over 25 years of experience as an engineer and analyst in industry and academia. She completed her post-doctoral studies in engineering education at the University of Pittsburgh. c American Society for Engineering Education, 2020
%. Two main aspects were studied:students’ success in the class and students’ results per gender and ethnicity.The first finding refers to students’ success in the class: The percentages of mixed-modestudents successfully completing Statics and advancing to other courses was in average morethan 5 percent points higher than the F2F sections. The grade distribution also reflected animportant increase in A’s and B’s with a decrease in C’s, D’s and F’s.Univariate and multivariate statistical analyses were conducted. From univariate analysis, it wasfound that race, level, overall GPA prior to the course, gender, number of prior attempts andinclusion of mixed-mode instructional delivery approach are potentially important variables forpredicting future
hands-on immersion experience at FERL (describedpreviously) and co-enrollment in numerous course offerings. This knowledge helps createsbalanced teams which is critical to ensuring healthy competition in the fourth phase. During the competition, teams assume the identity of a design-build firm, dividing upindividual roles by sub-discipline as outlined previously. Team leaders are charged withproviding overall guidance and ensuring the final products reflect a fully coordinated design andconstruction plan between sub-disciplines. Teams compete to “win” the job by having the mosttechnically sound approach and best integrated design. Examining Table 1 highlights a few important similarities between The Crucible and theASC design-build
course ends (e.g., as peer tutors or project mentors), • help improve the course (e.g., by creating new active-learning exercises over the material, or scoping out new technological developments that could be incorporated into the course), and • keep you in contact with current industrial practice (e.g., by serving as a scrum master or training others in the practice).This way of looking at a course reflects a subtle, but important, difference in devising courseprojects. The question is not, How can I specify projects that will familarize students with thecourse content? but rather, How can I design projects that will help students find their role inpromoting their own learning and that of their classmates? This
. “Design versus research in BME accreditation [ABET requirements and why research cannot substitute for design],” IEEE Engineering in Medicine and Biology Magazine, vol. 27, no. 2, pp. 80–85, Apr. 2008.[15] “BME Design Course Syllabus and Outline,” Jan. 14, 2020, https://bmedesign.engr.wisc.edu/course/syllabus/.[16] G. N. Svarovsky and D. W. Shaffer. “Design meetings and design notebooks as tools for reflection in the engineering design course,” Frontiers in Education. 36th Annual Conference, San Diego, CA, Oct. 2006, pp. M2G-7-M2G-12, doi: 10.1109/FIE.2006.322548.[17] “Google,” 2020, https://www.google.com/.[18] “Google Scholar,” 2020, https://scholar.google.com/.[19] IEEE. “IEEE Xplore Digital
, a procaspase-3 activator, in canine Frontiers in Oncologyand human brain cancersOverexpression of prostate specific membrane antigen by caninehemangiosarcoma cells provides opportunity for the molecular PloS ONEdetection of disease burdens within hemorrhagic body cavity effusionsDevelopment of a parameterization image stitching algorithm for Journal of the Society forultrashort throw laser MEMS projectors Information DisplayDoes group velocity always reflect elastic modulus in shear wave Journal of Biomedical Opticselastography?International Cancer Microbiome Consortium consensus statement on
concepts while providing them an immersive andintegrative learning experience.AcknowledgmentThe authors would like to thank the National Science Foundation for funding this approach underGrant # 1834465. Any opinions, findings, or conclusions found in this paper are those of theauthors and do not necessarily reflect the views of the sponsors. The authors would also like tothank Joshua Mathews and Tyler Concannon for their help in developing the VR learningmodule used in this study.References1. Froyd, J. E. & Ohland, M. W. Integrated Engineering Curricula. J. Eng. Educ. 94, 147– 164 (2005).2. Maciejewski, A. A. et al. A Holistic Approach to Transforming Undergraduate Electrical Engineering Education. IEEE Access 5, 8148–8161
. 13, no. 4, 1999.[11] S. Russell and P. Norvig, Artificial Intelligence A Modern Approach. 2013.[12] S. Franklin and A. Graesser, “Is It an Agent, or Just a Program?: A Taxomony of Autonomous Agents,” ECAI ’96 Proc. Work. Intell. Agents III, Agent Theor. Archit. Lang., pp. 21–35, 1997.[13] J. R. Dixon, “Engineering design science: The state of education,” Soc. Welf. Scottish Perspect. Scottish Perspect., pp. 70–85, 2018.[14] C. L. Dym, “Learning Engineering: Design, Languages, and Experiences*,” J. Eng. Educ., vol. 88, no. 2, pp. 145–148, 1999.[15] P. L. Hirsch and A. F. McKenna, “Using reflection to promote teamwork understanding in engineering design education,” Int. J. Eng. Educ., vol. 24, no. 2, pp
differentiatedhigher education market. The prevalence of these rankings in the public mind have promptedmany universities to strengthen their enrollment management strategies in order to expandenrollments, maintain better balance across enrollment swings, and to manage their discountrates (amounts offered through financial aid) to keep their institutions solvent—a pressure that islikely only to intensify due to the fiscal impacts of the current COVID-19 pandemic. Manyinstitutions report that the downside of national rankings is that they do not accurately reflect thequality of education offered by their institution, and therefore do not make for an efficientmarket. Indeed, our data point to specific gaming behaviors, often tuned to the algorithmsemployed by