microprocessors. This experiment allows students to observe reverse breakdown inthe laboratory in a practical way using a Zener diode. They also see how it can be used in a circuitthrough simulation where the clamping behavior of the diode is observed. The curious studentwill ask where the additional voltage goes in the circuit. The increased current flow through thediode when the input voltage is increased can be observed in simulation to answer thisquestion.Assessment and ResultsThe laboratory assessment survey conducted at the end of the semester asked students to considerseveral reflective questions. The complete survey presented to students is show in Appendix A.The questions posed were pedagogical in nature and sought student impressions of
exception of the (U)nsatisfactoryrange. Program faculty elected to include a grade of “D” (60-70%) within the (U)nsatisfactory rather than in the(M)arginal category because earning a “D” on an assignment negatively impacts the Naval Architecture and MarineEngineering graduation requirement of a 2.0 GPA.Since most Naval Architecture and Marine Engineering student cohort sizes are not large enough to report overallpercentages (no statistical significance), raw scores in each category are used to better reflect the underlyingdistribution of performance. Therefore, to calculate the EAMU Vector, the raw number of Naval Architecture andMarine Engineering students earning a grade in each scoring band are tallied, not the overall percentage of
that the Aspen Plus instructor slow down or otherwise provide“helping moments” during the lectures to ensure students keep up with the tutorial or examplemodels. Students responded well to this change, both in the mid-semester survey and in courseevaluations, leading the instructor to adopt this teaching method permanently.The in-person feedback session was a lunch-time meeting (with pizza provided by thedepartment) including the coordinators of the course and a panel of students selected from agroup of volunteers. The student panel was chosen to reflect the full range of academicperformers in the class as well as the diversity of experiences from working on different projects(with different advisors). These sessions often provided the most
subsequent sections detail the technology and design choices for this platform.4. Target MetricsTraditional IT organizations are currently siloed around aspects of service delivery: network and transport,data center, applications, security, etc [8]. This segmentation was driven by increasingly complextechnologies in each of these service delivery domains. While in smaller organizations these siloed arereflected in domains of expertise mastered by members of the staff, in medium and large organizations,5IT organizational charts identify specific teams for each of the domains mentioned. This segmentation isnaturally reflected in the skills developed by respective teams, the operating processes they develop, andthe tools used to manage the scope of the
solution. Having determinedthe calibration and spatial resolution, Jaun and her partner went ahead and imaged a Bell Lab computer chip … with the settings of an x and y range of 300 µm and 200 x and y pointsJaun did not comment on the success or failure of imaging the computer chip, but did include afigure picturing that computer chip. Additionally, they chode a goldfish scale and while the details of the scale are most likely too small to capture with this microscope … there is a very clearly reflective region of the scale and some interesting contour linesStage 4Jaun ends her entry with stage 4, the “Conclusion.” the … lab resulted in imaging samples and determining the calibration factor for the microscope
. Thisstrongly relates to metacognition.As described by Schraw and Dennison [2], metacognition refers to “the ability to reflect on,understand, and control one’s learning.” Sometimes described by the informal shorthand“thinking about thinking,” a more formal definition of metacognition typically includes elementsof knowledge of cognition (declarative knowledge involved with understanding learningprocesses and strategies, and knowing when to adopt a particular strategy), and regulation ofcognition (procedural knowledge of planning, monitoring, and adapting one’s learning) [3];although many other distinctions for elements of metacognition exist [4].Metacognition is a key asset as students transition to the more independent post-secondarylearning
reading more and more. This class has opened my eyes to what I want to do. It allows a person to really self-reflect on their opinions and career goals. I learned how much work takes to make a research paper, and the time to make sure you understand the main goals of the experiment. I learned how to breakdown a scientific paper, and I was interested to … research opportunities that I wouldn’t have known of otherwise. Breaking down the research process and explaining how it’s done. Then being able to examine research that has been conducted helped to understand the process better. Learning to actively look for jobs in detail and make sure
asked to reflect on their choice ofuniversity and major, as well as their experiences with courses and assessment. Furthermore,participants were asked to speak about various aspects of their social experience thus far in theiruniversity career, including the disciplinary makeup of their friend group and their participationin disciplinary professional societies and other extracurricular activities. Interviews lastedapproximately one hour each. The recordings were sent to a professional transcription serviceand were checked once more by the research team to ensure the accuracy of the transcript.AnalysisThe process for this analysis began with familiarization with each of the individual participant’sinterview transcript. Each was read first for
important factor in a potential faculty member’s decision to join.Additionally, PhD students play a vital role in mentorship of undergraduate students, serving asteaching assistants in courses and as mentors in the laboratory. Graduate students can beparticularly influential role models for undergraduates considering research careers. Finally,graduate students that go on to successful careers in a variety of sectors plays a crucial part inexpanding the reputation of the School. Their success is a direct reflection of the laboratoriesand faculty that mentored them.Just as important as the number of graduate students is the diversity of the student body. TheNational Science Foundation (NSF), other members of the National Academies, and the USCongress
outcomes, reflecting the skills and attributes that all MechanicalEngineering students are expected to possess at the time of graduation. These student outcomesare based on documentation collected during the annual assessment process and represent acombination of direct and indirect measures, such as the performance of student work, FE examresults, formal survey data, as well as data of specific curriculum courses' completion. Thecourse of Thermodynamics represents a significant portion of the FE exam (~10%). In thisevidence-based practice study, students were tested weekly under the FE exam format (3 minutesper question, 4-5 questions) in a pre-set time interval. The exams were administered throughGoogle Classroom and Google Forms, and students
elementary students, and in discussing possible pathways intoengineering with the elementary students. Perhaps these changes could improve the impact of theWP on college students, and provide further evidence for positive impacts on the elementarystudents.AcknowledgementThis research received no specific grant from any funding agency in the public, commercial, ornot-for-profit sectors. Any opinions, findings, conclusions, and recommendations expressed inthis paper are those of the authors and do not necessarily reflect the views of the university.ReferencesBielefeldt, A. R., & Canney, N. (2014). Impacts of service-learning on the professional social responsibility attitudes of engineering students. International Journal for Service
researchprojects that were funded by the universities. The data presented in this study has been collectedfrom a total of 13 research projects in the fields of architecture and manufacturing. Both currentand past research projects have been included to reflect on if undergraduate research (UR)encouraged them in future research opportunities, whether UR encouraged them to enter intograduate schools, or UR impacted their professional development. All the data presented for eachproject including students current position has been tracked over time and collected by theauthors. Student demographic data has been presented in the study to see if there is any effect ofgender, students’ academic year, GPA, immigration status, on their willingness to be engaged
& Systems course atthe end of the semester asked students to consider several reflective questions. The completesurvey presented to students is show in Appendix A. The same survey was given to students whoused the DSK board in lab and those who used the MATLAB R Audio System Toolbox.TM Intotal, all 78 students in the Spring 2017 and Summer 2017 courses responded. Of these, 45 usedthe DSK board for labs and 33 used the Audio System ToolboxTM .Several of these questions were pedagogical in nature and were posed to seek student impressionsof their self-learning after having completed the course and associated laboratories. The specificquestions relating to course learning, and hence pedagogical questions, are the first 8 questions inthe
also want to workwith faculty in other engineering disciplines to ensure that environmental protection issues areaddressed. This could include giving guest lectures in courses, particularly design-focusedcourses where environmental considerations should be part of the constraints and criteria for allengineering projects.AcknowledgmentsThis material is based on work supported by the National Science Foundation under Grant#1158863. 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] StartClass by Graphiq. Compare Colleges & Universities. http://colleges.startclass.com/ Accessed March 10, 2017
pollution should be responsible for the cleanup. Reflecting on thepresumption that more than one party could be identified as a “contributor” of pollution,a percentage allocation must also be determined. Once an allocation has been made, itthen must be determined if the identified “contributor” has the ability to pay theproportionate share. Which of the identified parties possesses the financial resourcesand/or insurance coverage to pay for a cleanup? Pollution cases may require adetermination of whether employees or other individuals may have been impacted byenvironmental pollution and suffered either acute or chronic health effects.In pursuit of identifying responsible parties and implementing remedies for pollution orcontamination, this paper
rankings reflect theimprovement of a student’s scores after the first test. The hours per week spent outside of classby quartile are summarized in Table 5. Table 3 Utilization of Resources by Quartiles QUESTION OF THE CLASS SUMMARIES TEXTBOOK DAY Ranked Ranked by Ranked Ranked by Ranked Ranked by by Grade Improvement by Grade Improvement by Grade Improvement Top 55% 47% 37% 38% 20% 13% Quartile Second 48% 47% 46% 42% 13
studentsare trained in an educational atmosphere that defines and strengthens their career identities [11].In order to improve career identities and success, construction curriculum should include well-designed senior projects [4]; service learning [12]; industry partnerships and professionaldevelopment workshops [13]; electives [14]; project-based learning [5]; internships [15]; and trainstudents to use updated technology [16]. Educators should not be afraid to modify existing coursesor even introduce new courses to reflect changing needs of societies [14]. Due to theirbackgrounds, some students are aware of the changing needs in the construction industry, and enterinto construction programs expecting to be prepared to meet the most current needs of
in terms of the themes and overarching goals. Faculty have varying levelsof input into and interaction with the execution of the strategic plan with the majority of theirfocus concentrating on the day-to-day operations of their research and academic programs.Faculty well-being surveys can reflect the status of the faculty views on their collectiveexperiences in an institution; some issues raised in these surveys can be addressed in targetedcollege of engineering faculty development initiatives.The purpose of this paper is to describe the process of how an established college of engineeringfaculty development office at North Carolina State University integrated the findings of aqualitative faculty well-being survey and programmatic faculty
eliminate any issues a minority of students had because they could not ask questionswhen watching video lectures. The overall depth and quality of questions generally reflected thestatus of the course as being outside the core interests of the students, who were mostlyMechanical Engineering majors.Note that the use of something like Piazza seems to be critical to making flipped classroomswork. Students need to know that they have a mechanism for asking questions, no matter whereor when they are working. Also, it encourages students to help one another. There is littlecompetition for grades in these courses because standards are clear and students are remindedover and over that our goal is that, someday, everyone will earn an A. Piazza also provides
personalized feedback. 5)Reflection allows students to think about how their pre-existing ideas about a topic have evolvedand expanded through completing the learning block. In this study, we examined the impact ofthe “Idea Generation” and “Concept Development” learning blocks. Each learning block takesapproximately 6 hours to complete and is built on pedagogical best practices that combines self-study with remote feedback [29]. It focuses on a student-centered teaching approach developedaround the constructivist learning theory [30], which allows content sharing online without timeand location limitations [31]. The learning blocks are built around the best practices in teachingand learning to promote active engagement, which is essential for success
intheir home country their entire life. A follow-up ANOVA was run between the two variables andthey were found to be predictive of each other. Over 80% of those who spoke English as asecond language and said that had lived outside of their home country said that the United Stateswas the country they had lived in for more than 6 months outside of their home country. Asmany of this subset of respondents came from different countries, they may not have deemedtheir responses as unethical when reflecting on the ethical underpinnings of their home country.As this subset of students also learned English as a second language, a limited vocabulary andlack of fluency in English may have negatively impacted their ability to answer the writtenresponses, or
4.00 0.79 0.003 I plan to use technology in my future career 3.00 4.33 0.57 0.057 I am interested in careers that use technology 2.60 4.20 0.89 0.016 I plan to use engineering in my future career 2.77 4.11 0.71 0.000 I am interested in careers that use engineering 3.00 4.44 0.55 0.005As can be seen in Table 4, the change in student STEM career interest as reflected in all but onequestion was significant. There was an upward trend in the low interest students’ interest incareers in STEM fields. The only question that was not significant is “I plan to use technology inmy future career” with a p-value of 0.057. The same
. Delaine is a co-founder and past president of the Student Platform for Engineering Education Development (SPEED) and has served two terms as an executive member of the International Federation of Engineering Education Societies (IFEES) as a Vice President for Diversity & Inclusion. He is investigating university-community engagement as empow- erment settings and working to further the research agenda of the global community of practice within Diversity and Inclusion in Engineering Education. His research laboratory aims to support an inclu- sive, global pipeline of STEM talent and to unify the needs of the engineering education stakeholders in order for engineering education to more accurately reflect societal
similar teaching styles.In Fall 2016, during the first stages of the re-design, two junior faculty members were added, and everyone waslearning and sharing experiences. All four were in general agreement about all class activities and assessments (thathad not been modified), however, were adjusting to the changed format as well as building the class activities onlya few days ahead. There was not much time for reflection during the semester.In Fall 2017, a junior faculty member replaced one of the original instructors on the DE team. In the summer of2017, the three junior faculty members attended a 2-day institute on active learning. The institute challenged themto explore new learning spaces and to strive for more student-student collaboration
. entrepreneurial mindset (e.g., Fry,2011; Kriewall and Mekemson, 2010; Condoor and McQuilling, 2009; Bilan et al., 2005).Finally, educators are thrusting experiential exercises into the curriculum, i.e. methods teaching(Cadotte, 2014; Greene and Neck, 2011). From our perspective, this mixed modality approachoffers students a dynamic learning environment and an equally exciting opportunity for facultymembers to conduct research related to student experiences and behaviors.In this dynamic classroom setting, which includes historical context, reflection on one’s mindset,process learning, and methods teaching, we developed a relevant research question, which is thebasis for this paper: Does an entrepreneurial mindset assessment predict a student’s behavior
as line, rectangle, and textbox primitivesfrom PyGame. Note that the process in the example is isometric, or constant volume. Thediagram reflects this fact in that the position of the piston has not risen or fallen. As the problemparameters change, that affects not only the data values shown in the figure but also the positionof the piston accordingly.Figure 7: Formatted output of problem descriptionAs was mentioned previously, rarely does automatically generated text not require some amountof human intervention in the form of additional post-processing to correct grammar mistakes, topossibly correct formatting, or to add a human flair or poetry to otherwise mechanical prose.Conclusions and Recommendations for Future WorkThe method outlined
design of the VR teachingmodule to be more immersive and visualized. The current VR module is a semi self-paced tutorial.Concurrent research (Phase III) is being conducted to investigate how well students understand thequeuing theory concept using this updated VR teaching module versus traditional classroomlecture. Data is currently being collected using a different set of students with the same conceptualquiz but taught the topic in a traditional classroom manner (control group). Afterwards, we plan toprovide a comparative analysis of both approaches, control group versus experimental group anddisseminate the results.. The sections discussed below only reflects how well the students performusing the VR training module (experimental group
havebeen generally positive. The authors will use results of future surveys to assess the success ofthis project and to improve student engagement. AcknowledgmentsThe research presented in this paper is partly supported by the Kern Family Foundation grantentitled “Implementation of Innovation and Entrepreneur Mindset Concept into Mechanics ofMaterials”. We would like to acknowledge and appreciate the supports by Dr. Massoud Tavakoliand Dr. Mohammad Torfeh, principal investigators of the grant at Kettering University. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe author(s) and do not necessarily reflect the views of the sponsoring organizations. References[1] J. Baqersad, P. Poozesh
, underprepared students). As many of theseprograms look to go online to help them grow, it is important to encourage deeper learning,engagement and community for ALL learners, not just those in physical classrooms. While theresearch suggests that similar learning outcomes can be achieved in both traditional face-to-faceclasses and online courses [4] [5], online courses require more of a proactive approach to helpthem reach levles of engagment and learning that more naturally take place in the on-groundsetting.Danaher proposes that there are seven constructs by which an online engineering course can beassessed for quality. They are information, interface, support, engagment, collaboration,reflection and autonomy [6]. The DFO approach brings these