serve as formal and informal ad-vocates for (or blockades to) positive change. The survey was distributed via the ASEE Dean’sCouncil which has 370 members representing over 90% of U.S. deans.Deans who participated in the survey were asked to forward separate survey links to faculty andstudents in their college. These surveys, which will be conducted in the spring of 2016, explorepersonal support for LGBTQ equality and inclusion measures, assessment of climate amongpeers and in their college, and experiences of LGBTQ faculty in comparison to their non-LGBTQ peers.Ethnographic Participant Observations of Safe Zone TrainingsThe goals of participant observation in Safe Zone workshops is to richly illuminate participants’assumptions about LGBTQ
Paper ID #14544A Comprehensive Approach to Power Sector Workforce DevelopmentDr. Nurhidajat Sisworahardjo, University of Tennessee, Chattanooga N. Sisworahardjo received his B.S. and M.S. from Institut Teknologi Bandung, Bandung, Indonesia and his Ph.D. from the University of Alabama all in electrical engineering. His research interests are in dis- tributed generation, renewable/alternative energy, power system risk assessment, and optimization tech- niques in restructured power market. As an educator, he has strong interest in technology utilization in classroom to improve students learning experience.Dr. Ahmed Eltom
beginning of the lecture; a worksheet that students worked on during the lecture ingroups. In addition to these materials, a truss bridge design project has also been developed toprovide extra hands-on design experience. This article will only focus on activities that weremore relevant to the flipped course and details of this hands-on design project will be skippedhere and they can be found in Zhu26. In terms of assessment of the course learning outcomes, inaddition to the group reading quizzes, a total of five homework assignments (two problemseach), each covering one of the five core learning outcomes were assigned. Three in-classpreliminary exams as well as a final exam were also used.Audio LecturesMost flipped classes use pre-recorded videos
program.Prof. Stephen J. Krause, Arizona State University Stephen Krause is professor in the Materials Science Program in the Fulton School of Engineering at Arizona State University. He teaches in the areas of introductory materials engineering, polymers and composites, and capstone design. His research interests include evaluating conceptual knowledge, mis- conceptions and technologies to promote conceptual change. He has co-developed a Materials Concept Inventory and a Chemistry Concept Inventory for assessing conceptual knowledge and change for intro- ductory materials science and chemistry classes. He is currently conducting research on NSF projects in two areas. One is studying how strategies of engagement and
clubs, outreach, research, service learningopportunities for each PEEPS student. The strategies for retention and persistence that areutilized by the students are collected through the advising meetings with staff and faculty. Wehope to determine which activities are especially effective, and will be able to make conclusionsonly after more time has passed to develop a more complete picture.For formative assessment, we have employed an outside evaluator to do interviews and conducta focus group with the PEEPS, and report on the first cohort here. We are also trackingtraditional institutional metrics like progress to degree and grade point average (GPA). Thequantitative data is interesting, but we are aware that no generalizable conclusions can
the semester will allow for optional inclusion in future semesters. The fact that thestudents’ work will be assessed with plagiarism detection algorithms is communicated verbally,via syllabus statement, and by an acknowledgement step that is built into each report submissionon the learning management system.MethodsThis section describes the study population and survey instrument. The study protocol was re-viewed and approved by institutional review board as per federal, state, and local regulation. Studyrecruitment is conducted via email, campus flier placement, and announcement to faculty at de-partment meetings and to students by faculty in key courses. The instrument is administered usinga Qualtrics survey platform. No personally
varied educational experiences, interaction withfaculty outside of class, and course challenge and student effort were baccalaureate colleges anduniversities, other types of engagement were associated with other Carnegie classifications” (p.203). Thus, students may adjust what they do and how they perceive their experience based oninstitution type. This study complements these large, quantitative studies with qualitativeanalyses that look more deeply into how and why student perceptions of faculty support mayvary as a function of institution type.Our assessment of both formal and informal faculty support focuses on engineering andcomputer science, disciplines that are still dominated by traditional lecture where the faculty rolein the classroom
prototype, Ally wrote “We improved cost,” whileColleen said they “improved the most on saving money because we used less materials.” Inaddition, in an assessment, students were asked to evaluate and make recommendations to aclient based on a given set of data of which only two students presented answers that includedelements of EBR that went beyond a claim. Becky’s response was “B, it got the most DNApercent.” To the same question, Colleen’s response was “I would recommend her to use ProtocolB because they got the most DNA out of the blood sample. Protocol B had 0.5% more than theothers.” This suggests that students may use EBR to explain their reasoning for answers theyprovide, though many need to be developed further.ConclusionThis case provides
online students4. Multiple researchers noted that communication toolsenhance interaction between students and instructors as well as learning outcomes.Course EvaluationThe evaluation process is essential to ensure that students enrolled in online distance learningmeet all course requirements and objectives 15. In order to objectively evaluate the success ofonline courses and their respective programs, a SWOT analysis can be an effective tool. ASWOT analysis is a tool that identifies the strengths, weaknesses, opportunities and Threats of anorganization. Specifically, SWOT is a basic, straightforward model that assesses what anorganization can and cannot do as well as its potential opportunities and threatsMethodsThe purpose of this study is to
Intelligent Graphics. He was a member of the Board of Directors at Georgia Tech. He is also a member of the Board of Director for the Georgia Youth Apprenticeship program of the Atlanta Public Schools. He is a Structural Engineer by practice. His research areas include ”The Design and Ap- plication of an Optimization Model for Thermal Performance of Atrium Buildings”, his thesis at Virginia Polytechnic Institute and State University, Blacksburg, Virginia in 1985, leads to the ”Development of a User Friendly Micro Computer Analysis Method For Assessing Energy Retrofit Options In Residential and Light Commercial Building”. Other areas of research are on Biofuel production, Structural Dynamic, Visualization, Simulation and
experiences. Such practicesinclude (i) designing curricula and assessments that reflect the heterogeneity of engineeringprofessional practices and (ii) challenging gendered status in the classroom through structuredgroupwork and equitable acknowledgment of students’ contributions. In addition, this futureresearch can guide STEM support program directors’ development of co-curricular campusinitiatives that addresses both academic (or technical) and social needs of LGBTQ+ and othermarginalized students. Partnerships between engineering departments and university chapters oforganizations like Out in STEM and the National Organizations of Gay and Lesbian Scientistsand Technical Professionals, for instance, can provide LGBTQ+ students with a network
learned this as a junior in undergrad, and the sophomores here are doing it, blah, blah, blah”, and I’m like, “ok” (laughter). It would go in one ear out the other, but yeah, you know you don’t really feel good afterwards. But then I guess talking to other students in the lab that’s been there longer than I have, supposedly that’s how he is, and that’s the way he approaches, I guess approach you when you have “x, y, or z” lack of knowledge.While one could argue that the advisor was assessing James’ pre-existing knowledge and skills,James’ quotation suggests that this conversation and communication style was not an isolatedincident, but rather that his advisor routinely enacted microaggressions against him by
science course in a materials science and engineering program. The course guidesstudents to apply computational tools and methods to solve problems in materials science andengineering. The study assesses the relationship between phases of the problem-solving processand computational literacy skills in the context of MATLAB computational challenges. Studentscomplete five projects that require combined problem-solving skills and computational skills.Results suggest that aligning computational challenges with problem solving phases can supportstudent learning and computational literacy skills development. The findings also suggest thatdifferent computational challenges require different forms of support for the learners tosuccessfully complete the
jury was composed of professionals fromTurkish universities, NGOs, media, celebrities, TV personalities, local municipalities, andopinion leaders. Each team had four minutes to present in a format of their choice. The jury hadtwo minutes to ask questions and evaluate the teams based on a set of pre-determined questions.Most of teams presenting created visual presentations; combining video and PowerPoint. Theprojects were evaluated on a 1 to 5-scale with 1 being ‘poor’ and 5 being ‘excellent.’ The teamprojects were assessed based on the following questions. The first two questions were asked tothe teams during their presentation. In addition, the jury evaluated the remaining six questions(#3 through #8):1. Please present any details from
instructors and administrators to set up and manage the Labs have greatly reduced.We will continue to collect quantitative assessment data for future publication. In conclusion, wehave successfully accomplished the objectives of the project as stated in section 2 of this paper.Here is a list of potential future work that we, as a department and college, will continue to pursue: ● Experiment with advanced storage and I/O hardware and software to continue to improve the speed and reliability of the TNS lab ● Incorporate the use of thin clients via Horizon View. This would help in the consolidation of resources by ridding the lab of expensive desktops and replacing them with inexpensive thin clients ● Introduce Dynamic DNS to
mathematics ability and classroom dynamics. All studentswere given a pre-test developed for the EngrTEAMS project, which assessed knowledgeand skills in engineering, physical science, and mathematics. For this study, only thescores on the mathematics sub-section were considered. Additionally, the classroomteachers placed the students in groups based on their usual classroom procedures. Fromthese groups, two groups from each teacher were selected to make up students in this casestudy. One group was selected for each teacher such that each student in the groupscored above the class average on the mathematics portion, and one group was selectedsuch that the students all scored below average. Additionally, among the groups that metthose criteria, the
extensiveanalysis of retention measures and student educational experiences at the undergraduate level,and uses a semester-level measure of retention. His group used the large, multi-institution datasetMIDFIELD and found that in general, paths of persistence are nonlinear, gendered andracialized, so one should use multiple measures to assess retention when analyzing diversepopulations of engineering students.Looking specifically at women, studies have shown that they can suffer from a lack of peersupport, role models, and adequate academic preparation. All these problems can cause thesestudents to transfer out of engineering5-8. Women also tend to report that teaching styles, subjectmatter relevance, and the culture of the discipline affect their retention
Engineering Workforce: A Silicon Valley Case StudyAbstractThe recent release of employment data from some of the top tech companies in Silicon Valley(SV) has stirred a national debate about diversity in the industry. Currently, most of the SVcompanies employ underrepresented minorities (URMs) and women at a percentage that is notrepresentative of the U.S. population or degrees awarded to engineers. However, are thepercentages representative with respect to URMs and women earning engineering degrees? Thispaper assesses the use of population parity as an adequate benchmark for measuring diversity inindustry using SV as a case study. This work suggests using a novel measure called degree parityas a more appropriate measure. Furthermore, this paper
accelerate the exothermicreaction.Thus, the measurement of the heat evolved during the uncatalyzed and catalyzed NaBH4hydrolysis reaction is important from practical and fundamental viewpoints. This is especiallyimportant for assessing thermal risks related to reactor performance at an industrial scale, wherethe capability of a system to enter into a runaway reaction must be well understood9.Additionally, the need for thermodynamic data is of great interest for determining the reactionmechanism in order to potentially fine tune the reaction.Thus, temperature became an additional variable to measure and understand for the students.While temperature was measured with a thermocouple within the reaction flask depicted infigure 2, the students focused
Course Introduction Course overview, what a project is and why it’s important, basic project terms Classic Mistakes Steve McConnell’s list of classic mistakes152 Core Concepts The project triangle, process and productive work, the cone of uncertainty, etc. Teams Basic concepts (trust, conflict, accountability, etc.), leadership types, Tuckman’s model223 Risk Management What/when/why, assessment and control, quantification, risk registries Lifecycle Planning Explanations of 10 basic models: waterfall, spiral, evolutionary delivery, etc.4 Methodology Cockburn’s methodology structure,5 plan-driven methodologies (PSP, TSP, Concepts RUP)5 PM
students are having whilelearning the material. Hypotheses to describe why students are having these challenges can bedeveloped based on learning theories and the participants’ experiences with their students.In response to the second workshop assessment question, many participants indicated that theydo not have a specific laboratory component to their course and that it might be a challenge forthem to build and/or buy the hardware that they used in the workshop. Each of the participantswas allowed to take the single analog circuit platform that they used in the workshop with them.These same participants indicated a desire to develop interactive demonstrations using thisplatform that they can show to their class or have the students perform
result for aninter-rater reliability test that includes more than one code, while Cohen’s kappa provides aresult for only one code.With the coding done, the next step is to evaluate the quality of the abstracts written, which wasevaluated through the process of Excerpt Grading. Excerpt GradingThe excerpt grading process was completed to assess the quality of the abstracts analyzed. Fromthe coding process, the sentences or section of an abstract that are categorized to a code areknown as excerpts. This means each code contains excerpts coded from the abstracts. This isexplained in the sample abstract shown below
Paper ID #12431A Course in History of Ancient EngineeringProf. Fabian Hadipriono Tan, The Ohio State University Fabian Hadipriono Tan has worked in the areas of construction of infrastructures and buildings, failure assessment of buildings and bridges, construction accident investigations, forensic engineering, ancient buildings, ancient bridges, and the ancient history of science and engineering for over 40 years. The tools he uses include fault tree analysis, fuzzy logic, artificial intelligence, and virtual reality.Adrian Hadipriono Tan, The Ohio State University Adrian H. Tan is a graduate student at the Ohio State
fits the description given by Ammianus. This design project can serve as a starting point for Page 26.70.19students to determine the right modern rope to use.Pedagogical ConclusionsAs noted earlier, this historically-based multidisciplinary design and fabrication project wasimplemented to foster the targeted engineering skill sets/learning outcomes of critical thinkingand the ability to determine and apply applicable engineering analysis techniques, and provide aninteresting way to increase student interest in the engineering design process. To assess theimpact of the Onager project on the reinforcement and enhancement of the targeted skillsets
Society of Engineering Education, 20124. Anderson, L.W. et al. A Taxonomy for Learning, Teaching, and Assessing. Addison Wesley Longman, Inc., Illinois, 2001.5. Bland, L. “Applying Flip/Inverted Classroom Model in Electrical Engineering to Establish Life-Long Learning,” in Proceedings of the Annual Conference of the American Society of Engineering Education, 2006.6. Redekopp, M.W. and Ragusa, G. “Evaluating Flipped Classroom Strategies and Tools for Computer Engineering,” in Proceedings of the Annual Conference of the American Society of Engineering Education, 2013.7. Stickel, M., Hari, S., and Liu, Q. “The Effect of the Inverted Classroom Teaching Approach on Student/Faculty Interaction and Students’ Self
sources. We use the DIRECT 1.0 conceptinventory of Engelhardt & Beichner to assess conceptual understanding, administering it as botha pre- and post-test in 20 sections of a linear circuits class involving over 1100 students over twoyears. Pre-test scores are around 50% as found by others. Post-test scores typically rise to only59% (averaged over many instructors), showing that conventional instruction does not addressqualitative misunderstandings very effectively. By introducing targeted instruction in onesection to address misconceptions, the post-test score rose to 69% in Spring 2013 (higher thanany other section) and with further refinement reached 79% in Fall 2013.1. IntroductionIntroductory linear circuit analysis is one of the most
into Computer and Electronics Engineering Programs. A final evaluation report for the National Science Foundation. 3. Gilmore, Chen, and Grandgenett, “Using Robotics to Equip K-12 Teachers: The Silicon Prairie Initiative for Robotics in Information Technology”, ASEE 2009 4. Gilmore, Detloff, “Assessing Senior Student Experiences with a Novel Mobile Robotics Learning Platform in a Computer and Electronics Engineering Program”, ASEE 2010 5. Gilmore, Santos, and Mills, “Computer Interface Innovations for an ECE Mobile Robotics Platform Applicable to K-12 and University Students”, ASEE 2011-2200 6. Chen, B., Grandgenett, N., Ostler, E., “Silicon Prairie Initiative for Robotics in Information
five years, despite intervention programs that aim tobroaden the participation of minorities in engineering. This three-year study explores the barriersand opportunities facing a cohort of: (1) African American engineering PhD students,candidates, and postdocs pursuing engineering faculty careers; (2) African American engineeringtenure-track and tenured faculty; and (3) Minority/Diversity Engineering Program Directors.This study examines factors that impact the production of African American PhDs inengineering, as well as those factors that affect the pathway to tenured faculty positions inengineering. This research includes an assessment of the current engineering faculty climatethrough surveying and interviewing African Americans in
of Understanding the Challenge) and idea generation practices (GeneratingIdeas) when engaged in a more open-ended problem that required them to identify materials,define constraints, and develop their own criteria for success.11 M. McCormick and Hynes alsoshowed that students have the ability to expertly navigate an ill-defined problem space by relyingon and using their own “lived experiences.”12 This lack of consensus suggests that more work isneeded to understand the dynamics of students’ engineering practice in these areas, and how theyare influenced by the nature of the design problem presented to them. This in turn will require us,and others to look at instruction and assessment for engineering curricula.The study described in this