Institute of Technology Amy R. Pritchett is the Davis S. Lewis Associate Professor in the Georgia Tech School of Aerospace Engineering c American Society for Engineering Education, 2016 Creating and Validating a Model to Support Aerospace Engineering Students’ Coordination of Knowledge about a DesignIntroductionAs a general field, design symbolizes the "conception and realisation of new things".1 However,engineering design differs from other design areas (e.g. graphic, industrial, and software design) in theenhanced complexity involved with clarifying and defining engineering products. Engineering designcan also be defined as a structured approach to developing, validating, and
.’s fourteen leadership competenciesinclude2: initiative (assess risk and take initiative to create a vision/course of action), decision-making (make data-informed and risk-informed decisions about your course of action),responsibility and urgency to deliver (commitment to on-time deliverables), resourcefulness (getthe job done with passion, discipline, intensity and flexibility), ethical actions and integrity(courageously adhere to ethical standards), trust and loyalty (instil trust in your team byempowering members), courage (face difficult actions head-on), vision (create compellingimages of the future), realizing the vision (design processes to move from abstraction toimplementation), inquiry (listen to others and recognize that their
and project timeline can be found in Table A.1 in AppendixA.Based on the feedback the course developers received after the course has been offered during2013 Fall session A, weekly units have been reordered for 2013 Fall session B, the details ofwhich can be found in Table A.2 in Appendix A. The main reason for the reordering was tomore evenly distribute the workload over the semester and give students more time to work onthe project. Units with time intensive activities were paired with units that did not require asmuch work. This seemed to have helped students better manage the workload and pace of thecourse.The course developers agreed that for the first half of the course, each unit should contain a fewshort video lectures, discussion(s
, including: Please first indicate the amount you consulted with each of the groups below and the degree to which they were resistant or supportive of your decision to pursue a PhD. Please indicate how important each of these factors was in your decision to attend to graduate school prior to enrolling. Please indicate how much you used each of the following sources of information when you were selecting a PhD program. Please rate how important each type of information was when selecting a PhD program: Did you already know the topic of your dissertation work prior to beginning your PhD? Did you already know which professor(s) you wanted to work with prior to your PhD?Returners considered numerous factors
opportunity to hear the students’ voice and perceptions on peerfeedback experiences in the course; in that way it is an indicator of how well these assessmentopportunities are being integrated in the course. Brutus et al.30 stated that “one of the mainlimitations of [their] study is that it does not specify what, in the PES [peer evaluation system]experience, underlies the detected effects. Questions remain as to which component(s) ofstudents’ educational experience actually contributed to their increase in confidence withobservation” (p. 28). While previous studies have been able to demonstrate significant effectsthrough repeated uses of peer feedback during team projects, this study aims to explore theunderlying mechanisms that lead to those
National Science Foundation Graduate Research Fellow. He received his B.S. in Civil Engineering in 2011 with a minor in philosophy and his M. S. in Civil Engineering in 2015. His research focuses on understanding engineers’ core values, dispositions, and worldviews. His dissertation focuses on conceptualizations, the importance of, and methods to teach empathy within engineering. He is currently the Education Director for Engineers for a Sustainable World and an assistant editor for Engineering Studies.Mr. Paul D. Mathis, Purdue University, West Lafayette Engineering Education PhD undergraduate student at Purdue University. Previously a high school educa- tor for six years with a masters in education curriculum and BS
interested in assessing studentunderstanding of a particular lecture or class session, it would be best to give it during the lastfew minutes of class time. However, if the goal of the instructor is to assess studentunderstanding of a reading or other homework assignment, the minute paper could be givenduring the first few minutes of a class period.The minute paper is typically structured in the form of two short questions such as: “What wasthe most important thing you learned during our class session today?” and “What importantquestion(s) remain uppermost in your mind as we ended our class session today?” It isrecommended that the students’ answers remain anonymous in order for them to feelcomfortable to share their true understanding (or
that revolvedaround other people included: considering others’ perspectives; the importance of applyingempathy in understanding; the potential in each human being for good and evil; the necessity ofholding paramount the health, safety, and welfare of the public; and recognizing responsibilitiesto employer(s), coworkers, communities, and society writ large. Regarding ethical-decision-making, participants mentioned the importance of sustainability in decision-making; consideringthe prospect of unintended consequences; properly weighting cost and benefit analyses; making acommitment to principles and beliefs; having an understanding of specific ethical theories; thepotential role that culture can play in shaping ethical norms; and the role of
. Plattner, “Welcome to the Virtual Crash Course in Design Thinking,” Stanford d.school, 2012. [Online]. Available: http://dschool.stanford.edu/resources. [Accessed: 09-Dec-2015].[8] M. Lande and L. Leifer, “Introducing A ‘Ways Of Thinking’ Framework For Student Engineers Learning To Do Design,” presented at the 2009 Annual Conference & Exposition, 2009, p. 14.796.1-14.796.12.[9] S. R. Daly, J. L. Christian, S. Yilmaz, C. M. Seifert, and R. Gonzalez, “Teaching design ideation,” in 2011 Annual Conference & Exposition, American Society for Engineering Education, 2011.[10] J. P. Guilford, “Characteristics of Creativity,” 1973.[11] R. A. Finke, T. B. Ward, and S. M. Smith, Creative cognition: theory, research, and applications
mistakes may be critical to their success. In many subjectsmistakes are a sign of failure. Students who fail to memorize facts and procedures (e.g. spelling,grammar, multiplication tables) are less apt, yet in being a programmer may require analternative measure of success than counting correct and incorrect attempts. Programming doesrequire the memorization of details but equally requires improvement through trial and error.Papert et al. in the 70’s observed students learned through experimentation and play, noting“[p]resumably kids need this experience, no matter what the medium in which they are working”(Papert & others, 1978, p. 71). Yet the 6th graders with which Papert et al. were working werenot able to successfully learn from
faculty. Theseare being addressed as on-going and future work.References[1] H. M. Vo, C. Zhu, and N. A. Diep, "The effect of blended learning on student performance at course-level in higher education: A meta-analysis," Studies in Educational Evaluation, vol. 53, pp. 17-28, June 2017.[2] C. D. Dziuban, J. L. Hartman, and P. D. Moskal, "Blended learning," Educause, Centre for Applied Research Bulletin. Vol. 2004, Issue 7, July 2004.[3] C. Dziuban, C. R. Graham, P. D. Moskal, A. Norberg, and N. Sicilia, "Blended learning: the new normal and emerging technologies," International Journal of Educational Technology in Higher Education, vol. 15, no. 3, December 2018.[4] R. F. DeMara, N. Khoshavi, S. Pyle, J. Edison, R
surveys were administered at the beginning, middle, and end of the semesterto generate paired data used to investigate trends over time (Figure 2). Each survey took less than20 minutes to complete and gathered demographic information including age, genderidentification, race/ethnicity, and intended major(s)/minor(s). Survey 1 and Survey 3 consisted offour parts: self-ranking of technical skills competency (beginner, intermediate, advanced, orexpert), self-ranking of confidence in essential parts of the engineering design process using a five-point Likert scale (Figure 3), degree of agreement with statements related to general engineeringself-efficacy using a five-point Likert scale (Figure 4), and open-ended questions related to thosetopics. The
Structures throughObjects, 7th Edition.Table 1. Cyber Security Modules with Lessons and Chapters to Cover Modules. Chapter to Module#. Implementation Approach Cover Module Lesson(s) Ch. 2. Java 4.1 Secure Variable Understanding how to write secure variable declarations is Fundamentals Declarations critical to producing overall secure code. Ch. 2. Java 1 Integer Errors Introduced with arithmetic operations. Students must be made Fundamentals familiar with how integer/floating-point division is handled. Ch. 3. Decision 5.1 Secure Division Similar to type conversion, while dividing by zero is primarily Structures a topic to be addressed
Credentialing toRaise the Bar—subsequently renamed the Task Committee on Credentialing (TCC). The TCCwas charged to “Develop a plan identifying how ASCE can best utilize an internal credentialingprogram to validate fulfillment of the Civil Engineering Body of Knowledge (CEBOK),including a timeline for implementation, an estimated budget, and a marketing plan to promote acredentialing program(s) to members and owners [3][6].”The TCC began its work in July 2018. Also starting in July 2018 but working independently ofthe TCC, the authors of this paper supported the TCC’s work by (1) analyzing the credentialingsystem used in the medical profession and (2) using this model as the basis for a proposed civilengineering credentialing system. A draft of the
they prioritize their competing career goals? What are some actions that the candidate(s) can take to negotiate for a better offer? 4 Please share your experience or suggestions on how to achieve work-life balance. What are some strategies to achieve equal partnership at home when you are in a dual- career relationship? How should one entice, encourage, or even “train” a partner to become an equal partner at home? From your personal experience, can you offer any tips on starting/expanding a family in regard to the tenure clock? 5 In general, what is the climate that one may expect to experience from colleagues when in a dual-career relationship? More often than not, the partner hire is perceived by colleagues as
potentially sensitive nature of the interview subject, as most participants were stillactively involved with the D3EM program. This ensured participants' privacy, while allowingthem to freely express their viewpoints. The interviews lasted between 10 to 40 minutes inlength. A similar protocol has been repeated annually since 2017; focused questions about careerpreparation were added in 2019. Interview protocol questions are listed below. 1. Currently, what are your career plans for after completing your PhD? 2. How do you think your D3EM training is preparing you for that career path? 3. When you were not on D3EM funding, were you completing a research assistantship or other funding? Did that experience(s) provide
mentioned areas that allowed opportunities to be inclusive. Inside theclassroom, there were opportunities to create an inclusive environment by how the educatorsinteracted with students and how they conducted themselves when students were present andteaching was in action. Finally, educators also talked about what things they thought about orconsidered (mindsets), similar to Integrity of practice, in that educators had a reason for theirpractices [4] when doing any preparation or working with students. Practices are found in Table1 with the following codes: ● CS- Inside Classroom- with Students ● CE- Inside Classroom- by Educators ● OC- Outside the Classroom ● IP- Integrity
administered. Each survey took approximately 15 minutes tocomplete. Validated constructs were used when possible. Specifically, the “teamwork andcollaboration skills” and “intent to persist” constructs demonstrated good internal consistencywhen previously validated in middle school samples, with Cronbach’s alphas of 0.88 and 0.86,respectively [7], [21]. Table 1 provides further information on the subscales used in the pre-postsurvey.Table 1: Pre-Post Survey Subscales Number Subscale Source of Items Example Item(s) Response Format “How confident do you feel designing a prototype 4
eighth grade, ANSEP student datacompared to national student data.*Nord, C., Roey, S., Perkins, R., Lyons, M., Lemanski, N., Brown, J., and Schuknecht, J. (2011). The Nation’sReport Card: America’s High School Graduates (NCES 2011-462). U.S. Department of Education, National Centerfor Education Statistics. Washington, DC: U.S. Government Printing Office.On the first day of the Middle School Academy, each student assembles a top-end computer andloads the operating system and Microsoft Office software. Students then use the computers onvarious tasks related to the daily classes they take for the remainder of the Academy. Studentsattend classes that include problem solving, research, and communication skills incorporatedwith biology, chemistry
University in 2008. While in the School of Engineering Education, he works as a Graduate Research Assistant in the X-Roads Research Group and has an interest in cross-disciplinary practice and engineering identity development.Dr. Robin Adams, Purdue University, West Lafayette Robin S. Adams is an Associate Professor in the School of Engineering Education at Purdue University. Her research is concentrated in three interconnecting areas: cross-disciplinary thinking, acting, and be- ing; design cognition and learning; and theories of change in linking engineering education research and practice. Page 23.89.1
teams.The program is structured with student-led divisions, each with 8-20 students, a faculty orindustry mentor, and a graduate teaching assistant (TA). Each division has one or more not-for-profit agency/ies (such as a museum, government service, charity, etc.) as a communitypartner(s). The students work with their community partner(s) to identify, develop, and deliverprojects that meet the community partner’s needs. Examples of such community needs includedesigning assistive technology for people with disabilities, developing database software forhuman services agencies, and developing engaging science-educational technology forelementary students. Additional projects can be seen athttps://engineering.purdue.edu/EPICS/Projects/Teams.Assessment
instructor:1 S: ((At the same time)) Different, different angles. 162 S: A protractor sitting here. With a string with a weight on it. So as you tip it it'll that'll tell you3 what degree you're tipping it.4 T: I like that. That's nice.5 S: So that tells you what degree so we can figure that out. In this example, the students chose a catapult as their ballistic device, and are explaining how they will measure the angle of trajectory. The mathematics concept central to this discussion is how to measure angles from the vertical. The explicit integration of this concept is how the students hang a weighted string off of
necessary to make onefurther point about the practice of change that is often overlooked and that is the role ofthose in power. Very often those with the power authorise an individual(s) to makechanges but do not subsequently give them the support they need. The respondents tochange need to see that those with power support the change wholeheartedly and providethe resources for it to be brought about.20Toward curriculum changeIn general, therefore, curriculum change is more likely to be internalised when it is seen Page 15.1.6to be plausible, and planned to take place in small steps that are seen to be naturaldevelopments, one following from the other
out how this case study and other existing research impacted recruitment policies forundergraduate and community college students. Also, interviewing community collegeprofessors, administrators, and program coordinators to determine the qualities for a successfulundergraduate or community college student in the summer experience would be beneficial.Bibliography1 Community College Fact Sheet. (American Association of Community of College, 2012).2 National Science Foundation. Science and Engineering Indicators. (National Science Board, National Science Foundation, Arlington, VA, 2008).3 Goldrick-Rab, S. Challenges and Opportunities for Improving Community College Student Success. Review of Educational Research 80, 437
93.8% 37.5% 12.5% 62.5% 6.3% 12.5% 12.5%facultyGraduate 56.3% 6.3% 12.5% 0.0% 6.3% 0.0% 0.0%AssistantsUndergraduate 12.5% 25.0% 50.0% 0.0% 6.3% 6.3% 12.5%AssistantsOther persons 12.5% 31.3% 18.8% 6.3% 6.3% 0.0% 0.0%III. Programs directed by a responsible faculty member(s) in addition to regular teaching orresearch dutiesFull-time 52.9% 35.3% 0.0% 58.8% 11.8% 5.9% 29.4%facultyGraduate 23.5% 0.0% 5.9% 0.0% 11.8% 0.0% 0.0%AssistantsUndergraduate 5.9
learning from that failure; 2. Work as a teamto fundamentally understand a problem and why the problem occurred (The goal is to understandnot only technically why it occurred but why the technical errors were not discovered andcorrected.); 3. Engage in critical thinking and analysis to identify what technical error(s)occurred and to try to determine what system error(s) existed that allowed the technical error togo undetected, and finally, logically analyze the case to determine what personal errors weremade by the people involved in the case; 4. Increase student awareness of the roles andresponsibilities of working in the Engineering Profession; and 5. Use the elements of criticalthinking to create a defensible, logical position on the question
AC 2012-3787: EFFECTIVE ACTIVE LEARNING APPROACHES TO TEACH-ING SOFTWARE VERIFICATIONDr. Sushil Acharya, Robert Morris University Sushil Acharya, D.Eng., Associate Professor of software engineering, joined Robert Morris University in the spring of 2005 after serving 15 years in the Software Industry. With U.S. Airways, Acharya was responsible for creating a data warehouse and using advance data mining tools for performance improve- ment. With i2 Technologies, he worked on i2’s Data Mining product ”Knowledge Discover Framework” and at CEERD (Thailand), he was the Product Manager of three energy software products (MEDEE- S/ENV, EFOM/ENV and DBA-VOID), which are in use in 26 Asian and seven European countries by