benefits from aninstructor’s standpoint. By getting feedback from the class and pacing it accordingly, as well asoffering extra credit, the class appreciated that the instructor had compassion and was willing toconsider their input. This was reflected in comments in the teaching evaluations at the end ofeach semester. It also minimized concerns over the class not being curved by allowing studentsto bolster, or insure their grade prior to the final exam. Additionally, by allowing for improvedstudent grades one may expect improved evaluations in general as well as improved retention ina given field of study. It is important to reiterate that these grade improvements did not come atthe expense of grade inflation, which may produce a similar effect
tool to improve our classrooms. You can ask questions inclass and know right away if all the students, half the class or just 10% understands. It’s agood way to have a read on all your students before an exam is given or at any timeduring the semester. It is also a good way to involve your student every class. MiniQuizzes also add to identify readily who understands and who doesn’t so you can allocatemore points to the mini quizzes than to the homework in case they just copied them,which is not a reflection of their level of understanding. Students need to put in the effortin order to get excellence.The students’ favorite parts of class are the projects, where they get to apply the theory toreal engineering problems. Students love the hands-on
students were asked to consider the societalimpact their home made in terms of environmental, global and social considerations. They were askedto think about the resources used to build the homes, technologies implemented and home energyconsumption levels.EvaluationStudents were evaluated on the PHPP design worksheets, oral presentation and written report. Overallthe design needed to reflect a thoughtful and creative approach.Energy ModelingThe energy modeling was primarily evaluated through the oral presentation. During the oralpresentation the students provided a summary of their software inputs and resulting annual heating andcooling loads. Software inputs needed to be logical and accurate to meet the certification requirement.The students were
tendency of general management tothink in terms of more formal safety related organizational training and global safety trainingprograms to prepare personnel to deal with multidisciplinary nature of mode n i kmanagement. Unfortunately, existing safety training programs along with the safetyprofessionals who conduct them, are often not prepared to deal with this global organizationapproach to safety. Systematic safety training reflects the major theme of this paper. Our desireis to maintain a position of organizational credibility and to implement safety training programsin the modern management environment. Therefore, in the proposed method, an implicitemphasis is placed on the need for formality and rigor in designing and conducting training
communication skills (3.4) conducting tests,measurements, calibration and improving processes, and (3.5) demonstrating team work skills.The final capstone course grade was based on the elements shown in Figure 10. Performanceassessment and feedback were done through the evaluation of biweekly submitted reports by thestudents. There were four main categories toward the final score: biweekly reports, final report,presentation, and team work evaluation. Table 3 shows assessment methods that reflected theABET outcomes mapping with the project assessment tools followed. Biweekly Reports (15%) Team
already exists. Why not give them anorchestra to call their own—a conductorless orchestra where they practice leadership,teamwork, and communication in a large team environment—while doing something theylove—music?Augmenting an Engineering School The Olin Conductorless Orchestra (OCO) is the oldest group at Olin College and provides anenduring example of what an engineering school can represent. The orchestra has been avehicle for talented students studying engineering since 2002, and shows the Renaissance sideof their education. Its concerts often take place in front of sizable groups of people (e.g., OCO’s2017 Great Hall concert at Cooper Union in New York City), thus reflecting positively on thecollege’s multidisciplinary approach to
product, process, or service by trade name,trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement,recommendation, or favoring by the United States Government or any agency thereof. The viewsand opinions of authors expressed herein do not necessarily state or reflect those of the UnitedStates Government or any agency thereof.PNNL-SA-160054
in groups,connecting to peers and the institution, self-reflection, and discipline, etc., are embeddedthroughout the course. The biggest challenge for this course is to give students some insight intomultiple engineering disciplines and to help them make an informed decision about their majorchoice. This course also heavily relied on hands-on and in-person activities until Fall 2019.Midway through Spring 2020, the course was moved to synchronous online mode. In Fall 2020,the common lecture portion of the course was offered in a hybrid/converged mode. Instructorstaught from a university classroom and the lecture was simultaneously broadcasted. A limitednumber of students (on a rotation basis) had an option to attend the class in-person while
-circuit and RN is the Norton equivalent resistance seen by the inductor when the capacitoris treated as an open-circuit. The notation used here for the two time constants reflects thosestatements. These treatments are well-known low frequency approximations.The coefficient of the second-order derivative has a dimension of time squared, which suggests apossible alternative representation as the product of two time constants τ1 and τ2 . 1 = τ1 τ2 (7) ωo2The question is whether these arbitrary time constants can be related, in general, to RLC circuitparameters
Covid-19 on Higher Education around the World. 2020.[2] J. J. B. Joaquin, H. T. Biana, and M. A. Dacela, “The Philippine Higher Education Sector in the Time of COVID-19,” Front. Educ., vol. 5, no. October, pp. 1–6, 2020, doi: 10.3389/feduc.2020.576371.[3] T. Khraishi, “Teaching in the COVID-19 Era: Personal Reflections, Student Surveys and Pre-COVID Comparative Data,” Open J. Soc. Sci., vol. 09, no. 02, pp. 39–53, 2021, doi: 10.4236/jss.2021.92003.[4] D. Chadha et al., “Are the kids alright? Exploring students’ experiences of support mechanisms to enhance wellbeing on an engineering programme in the UK,” Eur. J. Eng. Educ., vol. 0, no. 0, pp. 1–16, 2020, doi: 10.1080/03043797.2020.1835828.[5] M. Schar, A
data.ConclusionThis work is still in-progress. Our study has been set up with three undergraduate courses involving twofaculties. In this emulation students get the opportunity to perform through all standard softwaredevelopment phases in Agile method including requirements analysis, user-story backlog creation. Oncethe backlog is ready, developers plan for sprints and drive each sprint equipped with daily-scrum,retrospective and planning the next sprint. The entire process is driving through use of IST&P. Once thisstudy is done, our collected data will give us an insight about how this protocol impacts the learningeffectiveness and how it engages the students. We believe that the empirical data will give us a positiveresult reflecting the engagement and
instructional settings and EE topics.The success of the HBCU ECP project led the group to consider whether or not the scope of thecollaboration could be expanded to include a broader range of topics and participants. As theECP project wound down, the group has been reflecting on what lessons there are to be learnedfrom this experience. First and foremost, the project succeeded because many schools workedtogether as one to collectively improve the learning experiences of their students.What enabled the group to succeed? 1) Experienced faculty trained faculty at schools new topersonal instrumentation at both in-person workshops and regular online meetings. Theexperienced faculty from within the project had worked together previously in the MobileStudio
14% than its runner-up.3.2. Remote versus Traditional in-person ClassroomsThe students from summer 2020 classes were surveyed with an extra question, shown in Table 2.These students totaled 124 in four different classes, where 70 of them had the synchronous methodwithout recording, 40 of them had synchronous method with recording, and 62 had theasynchronous method. The rationale behind this question was to reflect on remote classroomexperience and indicate if it can be related to a traditional in-person experience, given that by theend of summer 2020, the students have experienced at least two semesters of fully remoteclassroom experience. Figure 5 shows a summary of the results for the four given options. Whilethe traditional in-person
4 2.2 Total 186 100.0Individual Skill Development. Table 6 reports mean scores and their standard deviations foreach of the skills/scales assessed at the beginning (Week 1), middle (Week 6), and end (Week10) of the internship. These results reflect self-assessment by the students at the beginning,middle, and end of the summer program. Mean scores for the group increased for every skillarea. Scores for growth mindset and creative mindset remained stable. They were not explicitlytargeted by the curriculum for the program.Table 6. Individual Skills Assessments at the Beginning, Middle, and End of InternshipSurvey of Intern Team Effectiveness
motivational beliefs and learningstrategies. Qualitative data collected from individual interviews and focus groups is being codedand analyzed to provide a more complete understanding of what helps students persist tograduation in an engineering major. Recommendations for future work include investigationsinto the role student mindsets (growth vs. fixed) and student workload expectations play in theirretention.The material is based upon work supported by the National Science Foundation under Grant No.1644119. 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.6.0 References[1] O. Brown, M. Morris, R. Hensel, and J
Calculus II course? To answer this research question, twelve semi-structuredinterviews [22] were conducted during the last week of class with a focus on gaining a deeperunderstanding of students’ experiences in the flipped classroom. The research team adaptedquestions from a previous study on students’ self-efficacy in calculus [23]. Students names wereneither provided nor were known to the interviewer. Each interview was 10-20 minutes long andallowed students to reflect on their self-efficacy in mathematics (see Appendix B). Examples ofinterview questions included, “How do you rate your confidence in math now? Why?” and“What could make you feel more comfortable about math?” [23]. All interviews were audiorecorded using a digital recorder
add more hidden layers, which is also reflected in biological evolution. For example, thecortex of turtles has three layers of neurons, but the human brain has six layers in the neocortex.The architecture with many hidden layers is called a deep neural network, and its operation iscorrespondingly called deep learning [5-6].One of the major applications of ML is on image recognition, where the data is in the two-dimensional (2D) format. If a traditional neural network is used, the 2D matrix needs to beflattened into a one-dimensional (1D) vector. In the 2D format, there are strong correlationsamong the neighboring pixels, but this important information becomes intricate in the 1D format.Therefore, a new approach was developed, which is called
been developed in the public domain, which includeEXPRESS model, surface graph model, representational primitive model, TTRS model, UMLmodel, XML model, category theory model, GeoSpelling model, relationship model andontology-based model [3]. All these models must be implemented manually and are lack ofautomation.Researchers have been trying to translate the GD&T rules into the language that can berecognized by computer. If successful, the tolerancing process can be completed by computer [4].The researchers categorized the automation sophistication of the GD&T process into three levels.At the first level, GD&T primarily focuses on how to assemble the parts together; at the secondlevel, GD&T will automatically reflect design
mechanic courses. It is ourhope that the use of the CW this will make it easier for faculty members to implement the DCIin their courses, and for us to collect data on the instrument so we can improve it in the future.Disclaimer: The views expressed in this article are those of the authors and do notnecessarily reflect the official policy or position of the United States Air Force Academy, theAir Force, the Department of Defense, or the U.S. Government. Distribution A. Approved forpublic release, USAFA-DF-2020-27: distribution unlimited.References1. Gray, G.L., D. Evans, P. Cornwell, F. Costanzo, B. Self, “Toward a Nationwide Dynamics Concept Inventory Assessment Test,” Proceedings of the 2003 ASEE Annual Conference, Nashville, TN, June 2003.2
pilot of this class prior to this grant combined a small,bioinspired robotics course with PSTs in the educational technology course, where the UESs andPSTs could work together on a larger project. Therefore, future collaborations will include eitherthe bioinspired robotics course or electromechanical systems course, both which have smallerclass sizes.Preliminary results [7,8] suggest that the instruments developed for collaborations 1(engineering design process) and 3 (computational thinking) may not be sensitive enough todetect changes in content knowledge. Therefore, additional research is being implemented toimprove those assessments. The reflection assignments provided valuable information on bothwhat students learned and how they viewed
].Aesthetics in engineering, utilizing objects from nature, is being stressed by modern industrial designers,whether in building architecture or in the design of a shopping mall. Industrial design is in the domain ofvisual education applicable in fine arts and performing arts. The pioneering works of Leonardo da Vinciare some the earlier examples in the Hellenistic-Judeo-Christian cultures that convey the importance ofaesthetic aspects in mechanical design [4]. His extensive note books and sketch pads on all mechanicalmodels, ranging from water pumps to helicopters, put aesthetics on a solid foundation in the domain ofdesign, and reflect the union between beauty and technology, harmony and synthesis, art and artisan’swork in a creative endeavor.Over
and persistenceto graduation. Scholarship recipients also participate in focus groups and one-on-one interviewsand that data is being analyzed with the goal of gaining a holistic understanding of studentretention and finding trends in longitudinal change in students’ perceptions of the engineeringprofession as well as in their motivation and persistence.This material is based upon work supported by the National Science Foundation under GrantNo. DUE-1644119. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] J. Kruger, and D. Dunning, “Unskilled and Unaware of It: How Difficulties in
underlying factor structures for items across all fourteenmodules through the exploratory factor analysis. A confirmatory factor analysis will thenevaluate the proposed emerging factor structure. The analysis will conclude with a finalizedfactor structure, completing steps four and five in the instrument development process. Futurework past this project will extend to step 6, in which we will work to interview current science,engineering, and mathematics graduate students to ask them to comment on the final surveyinstrument and reflect on what areas regarding to their current mental health experiences aremissing.The ultimate purpose of this work is to create an instrument that measures science, engineeringand mathematics graduate students’ mental
billion pounds of plastics were manufactured in the US. What questions does this statement raise for you?After students list as many questions as possible, they could be instructed to improve them andprioritize them. In my case, the next step was for groups of four students to compare theirquestions and prepare a team list. The list of student questions does not necessarily need to beturned in. But if they are, they can be used to drive lecture material or as an assessment ofstudent curiosity. The questions in fall 2019 reflected a wide variety of interests on the students’part. Some focused attention on the environmental issues, some on the material property issues,some on the industries that use plastics the most. By better understanding
experience with the design cycle by designing a helmet to protect the brain. Students iteratively design the helmet using practical arts and crafts materials and engage in testing to determine the performance of their design. Students also reflect on their designs to influence further iterations. On day 3, students use the engineering design cycle to iteratively design surgical tools. Students evaluate their tools by performing mock surgeries on gelatin models to remove embedded masses. Students evaluate their tool performance and use that to inform further design improvements. On day 4, students revise their tools to enhance performance and prepare for day 5 challenges. The day 5 competition includes
ofobjectives, CATME peer evaluationdata from both years was used toevaluate whether students believetheir team members i) possessedrelated knowledge, skills, andabilities and ii) contributed todeliverables (objective 1). CATMEalso rated how efficiently the Fig. 2: SPOC subteam communication dynamicsubteams communicated relative to 2018-2019 results with the embedded ID team structure.End-of-semester reflections for both years and a survey in the fall of 2019 (Appendix B)provided more data on task allocation and subteam communication.Results and Discussion:Objective 1: CATME peer evaluation data reported that engineers scored higher than IDs (bothyears) and point differentials were slightly but not statistically less (two-sided t-test, α
work throughproblems, and when they should rely on calculations to help adjust their intuition. This exercise hascertainly provided a moment of self-reflection for the authors and a direction towards improvement oftheir courses. Bibliography[1] D. Hestenes, M. Wells, and G. Swackhamer, “Force concept inventory,” Phys. Teach., vol. 30, no. 3, pp. 141–158, 1992.[2] C. Henderson, “Common Concerns About the Force Concept Inventory,” Phys. Teach., vol. 40, no. 9, pp. 542–547, 2002.[3] J. Docktor and K. Heller, “Gender Differences in Both Force Concept Inventory and Introductory Physics Performance Gender Differences in Both Force Concept Inventory and Introductory Physics Performance,” Am. Inst. Phys
students to evaluate their team’s ability tonegotiate. The responses to this question in comparison to the pre-assessment results, reflect asimilar result as the previous question (Figure 5). On the pre-assessment survey only 9% ofstudents indicated a strong reliance on compromise and in the post-assessment survey 58%responded that they had either frequently or always used compromise as a negotiating method. Post-Assessment Q2 - Group Evaluation 50% 40% 30% 20% 10% 0% Never Rarely Sometimes Occassionally Frequently Always Avoidance Aggression Accomodation Compromise CollaborationFigure 5: Comparison of Post-Assessment Question 2 and Pre-Assessment ResultsConclusion/Future
formats. i. Strongly Agree, Agree, Neutral, Disagree, Strongly Disagree 7. CATME Team Assessments were beneficial in giving feedback to my team members. a. Strongly Agree, Agree, Neutral, Disagree, Strongly Disagree 8. CATME Team Assessments were beneficial in receiving feedback from my team members. a. Strongly Agree, Agree, Neutral, Disagree, Strongly Disagree 9. CATME Team Assessments accurately reflected my contributions to the team. a. Strongly Agree, Agree, Neutral, Disagree, Strongly Disagree 10. Viewing the CATME Team Assessments helped develop my self-awareness as a member of a team. a. Strongly Agree, Agree, Neutral, Disagree, Strongly
and home. He left hisemotional side at home and was a commanding force at work. He identified as an “extremeprofessional.” William described that he deliberately did not bring his family to work events,attend happy hours, or befriend coworkers. Because he described this separation as being “basedon race,” we interpreted his experience as inauthentic in comparison to the White participants.William also experienced isolation because of the lack of peers on his level in the workplace.Structural racism was reflected in various forms throughout the interviews. All three participantsdescribed the hiring process as based on merit. This can prove to be disadvantageous tominoritized individuals, given they often don’t have the same opportunities to