betweenparticipants and frameworks.6Phase 2: Following IPA analyses, we developed novel Likert-type survey measures of graduatestudent future time perspectives, identities, identity based motivations, and general experiences.We consulted with field experts in each of these areas for feedback on item development. Inaddition, we developed a statistically robust sampling plan based on data collected and protocolfollowed by the American Society for Engineering Education, which will be implemented duringsurvey deployment in Spring 2017. The protocol stratifies degree programs by geographiclocation and samples degree programs from each stratum. This sampling is based on probabilityproportional to size for frequency of each engineering sub-discipline in the
genotyped using 23andMe©. Students who participate inthis optional exercise are able the analyze their own genetic data using tools presented in agenetic tools workshop that could potentially be used to individualize treatments. Those studentswho do not choose to have their own DNA genotyped use de-identified data for this activity.For the team project, groups of three to five students are assigned to a disease at the beginning ofthe semester (e.g. rheumatoid arthritis). Each group learns about the disease, identifies one areaof unmet need, designs an approach to solving the problem (with special consideration of howthe patient would interface with the solution), and develops a brief marketing plan. Sampleprojects include a 4D MRI for hepatic
. She holds a Ph.D. in Learning, Teaching, and Social Policy from Cornell University, and an Ed.M. in Administration, Planning, and Social Policy from the Harvard Graduate School of Education.Dr. Ebony Omotola McGee, Vanderbilt University Ebony O. McGee is an Assistant Professor of Diversity and Urban Schooling at Vanderbilt University’s Peabody College and a member of Scientific Careers Research and Development Group at Northwestern University. She received her Ph.D. in Mathematics Education from the University of Illinois at Chicago; and she was a National Academy of Education/Spencer Foundation Postdoctoral Fellow and a National Science Foundation Postdoctoral Fellow. As a former electrical engineer, she is
Energy Manufacturing curriculum development. Currently, he is involved in the evaluation and research of two federal grants regarding student success. One of the grants aims at providing undergraduate engineering minority students opportunities for acquiring 21st century knowledge and skills required to compete with a technology-rich workforce environment. The second grant aims at providing educational and administrative support to undergraduate student in areas of career and financial management planning. He has been selected as Research Fellow at the Educational Test- ing Service at Princeton for two consecutive summer terms. He has been program chair and president of the regional association (Southwest Educational
students as they shape their ideas into products and businesses; coordinate internal and external infor- mation and resources to facilitate the growth of a sustainable entrepreneurship ecosystem and maintain communication and support for key stakeholders in the SEAS community. Ms. Pyle is also the founder and President of Pyle & Associates, LLC, an Interim Executive Management firm providing management and business consulting services across diversified industries. Her extensive experience in business development, strategic planning, marketing, operations, and leadership have left a lasting impact on overall business performance from start-up to turn-around situations. Ms. Pyle is recognized for her unusual ability
, partially due to competition and globalization. Several industriesstarted providing 2D representations of their selected parts in order to be used in the finaldocumentation of their designs. However, now the trend is to provide complete 3D models ofcandidate components, and furthermore, to provide the option to either configure their selection orto customize it.This report describes the approach being implemented to expose students to the reutilization/configuration concept in CAE. These efforts are in a design curriculum at an institution of highereducation, and it is planned to expand from its current implementation in an introductory designcourse at the junior level.MethodologyThe goal for the proposed implementation is to expose students to the
nature of the problems. Thisprevents students from just dividing the homework and then sharing answers.The Department of Civil and Environmental Engineering is planning to continue using theproblems from MyLabsPlus to allow for the benefits discussed above. The department is stillevaluating the possibility of using the online system for in-class quizzes. Another change forfuture semesters that the Department of Civil and Environmental Engineering is planning todiscuss with the students early in the semester that getting good grades on the homework is notenough to perform well in the class. The online homework is there as a tool to help the studentsmaster the material and not just be a hurdle to their grade.Bibliography1. MyLabsPlus by Pearson
techniques based on thecurrent teaching module. Redesign the curriculum and assure the hands-on activitiesembedded with current teaching plan to enhance learning outcome without extra worksafter class. Step1:Drawmultiviewsof fivephysicalmodelson paper. Time:1-3days Step2:Submitthe drawingstotheinstructor andgetinstantfeedback. Time:About5-15minutes Yes Redo needed? No Step3:Sketchisometric pictorialonpaperfrom multiviewsinstep1
what already exists, and work within the bounds of rationality to producenovel iterations. Martinsen found that explorers investigated scenarios by inquiring aboutinformation specific to the problem.31 Explorers refined background knowledge because theytended to have less experience with the task domain than assimilators.32 Assimilators, however,relied on experience to solve problems. As assimilators gained experience with relevant skills,creative performance increased.32Martinsen and Diseth investigated the relationship between the Assimilator—Explorer cognitivestyle, personality characteristics, and inventiveness.33 They determined that high noveltyseeking, and weak preference for rules and planning described explorers. Assimilators
include: Understand the necessary steps to plan, execute, and control a mechatronic system. Program, calibrate, configure, test, start-up, and operate a mechatronic system. Understand mechatronics as the integration of multiple disciplines in industrial processes. Identify major application areas for mechatronics. Apply mechatronics in various manufacturing, scientific, and technical applications. Abide by mechatronics industry codes, standards, and regulations. Research and apply emerging and future mechatronics technologies [5] Figure 1 shows occupation specific competencies and industry sector technicalcompetencies. They include various technical areas ranging from Programmable
retirees, second, hire midcareer talent for a two tothree-year succession-planning window and third, hire entry-level talent with a two to three-yearcompetency development window. See Figure 2 for the EASi talent development pipeline model.Model recreated with permission. Figure 2 - EASi Talent Development PipelineTalent Acquisition and Academia PartnershipEASi’s acquisition of the retirees was straightforward. To maintain decades of legacy knowledgeof their projects, practices, and procedures, the electric utility company provided EASi with thecontact information of their valued retired employees. EASi then hired those employees to stafftheir technical management and subject matter expert positions.The next step was
thatschool leaders and teachers, respectively, consider preparation of and participation in professionaldevelopment (PD) programs prior to implementing robotics for reform-based STEM instruction.22Unfortunately, scant research is available on effective PD programs for teachers to create andimplement STEM teaching practices using robotics. Thus, we have designed, implemented, andstudied a three-week summer PD program (15 sessions, 8hrs. per session) for middle schoolscience and math teachers. Through this PD effort, teachers were expected to deepen theirtechnological-pedagogical-and-content knowledge (TPACK),23 develop lesson plans by utilizingrobotic kits for standards-aligned science and math curricula, and improve their students’ STEMinterest and
-house using 1/8-inch aluminum sheet. Figures 3 show thecomplete trainer in the lab. Figure 2. The complete trainer. Figure 3. The working trainer in the lab.ComponentsThe trainers have several features such as 2 analog outputs (0 - 10V), Over temperature display,1 Ethernet port 10/100 Base-T, to name a few. Appendix A includes a list of all the features. Asmentioned before, the software installed on the trainers are B&R, which is an open-sourcesoftware. Figure 4 shows step-by-step instruction to assemle the trainer. All the electroniccomponents were provided by B&R [1]. The authors are planning to complete all the 22 trainersin near future.Lab Activity OutlineThe trainers
minimesterin 2015. Structuring the minimester course involved planning of readings, quizzes, discussions,home works, and exams. Quizzes were given every day, home works had to be turned in everyother day, and major exams were given every three days. The students seemed to be motivated.Their performance using all three types of evaluation measures (exams, home works, and quizzes)seemed to be better than the students who took the same course offered by the author in a regularsemester in the previous Spring.HypothesisThis study was conducted in order to find out whether the performance of students taking thecourse in a minimester had a statistically significant difference than the performance of thosetaking the same course in a regular 15-week
culture andengineering design side-by-side.The Navajo way of life and the engineering design process have similarities.This study was inspired by the similarities between the Navajo way of life, which is a holisticcycle of thinking, planning, living, and assuring/testing (Aronilth, 1992), and an engineeringdesign process (ask, imagine, plan, create, improve (Cunningham & Hester, 2007)).Diverse perspectives drive innovation in STEM.With the complex nature of real-world problems, our country needs STEM innovators who canwork across disciplines to holistically solve problems in both the workplace and in ourcommunities, such as the NAE Grand Challenges for Engineering (Perry et al., 2008). Accordingto a 2011 NSF-AIHEC reports “adding diverse
, project planning, and the Unified Modeling Language (UML). The second setfocused on data structures and algorithms, including algorithm analysis, searching, sorting, andlinked data structures.Objective II: Raise awareness of POGIL in computer science, software engineering, and relateddisciplines and foster a POGIL community in these disciplines. This included posters,presentations, and birds-of-a-feather sessions at conferences to raise awareness; and workshopand tutorial sessions to provide a deeper introduction. It also included support for CS faculty toattend longer professional development programs, including 3-day regional workshops organizedby The POGIL Project.CS-POGIL OutcomesThe CS-POGIL project developed, piloted, and revised over 50
Visual Impairments (EEVI) is a two-yearprofessional development program for teachers of students with visual impairments (TVIs),targeting grades 5-12 focused around bio-engineering. The overarching program goals are 1)Increase the science, math, and engineering content knowledge for TVIs; 2) Increase TVI’scapacity to teach science, math, and engineering concepts to students with visual impairments(VI); 3) Increase TVIs efficacy in science, math, and engineering; 4) increase TVIs capacity tomake modifications and accommodations for students with VI to pre-existing science, math, andengineering lesson plans; and 5) Improve students’ with VI achievement in science, math, andengineering. To date the TVI professional development, which was intended
. Theinitiative was assessed by participant engagement with the topics and qualitative journalresponses to the discussion prompts.Our effort for this project consists of two main goals: Goal 1: To encourage female students to remain in STEM fields through supportivedialogue. Goal 2: To promote collaboration, self-efficacy and leadership while providing strategiesfor females to change the culture.Each of these goals are in line with new ABET criteria focused on educating the “wholeengineer.” To measure our progress toward these goals, we have begun to capture studentengagement via qualitative journal responses. In the future, we plan an additional survey and alimited number of interviews about the project. Journal data is derived from
analyze a significant problem that is currently lacking socially desirable solutions. Design and develop an effective solution to the problem using hardware and software tools and techniques prevalent in the electrical engineering technology field. Build, troubleshoot, and test the solution in manners prevalent in the electrical engineering technology field. Execute the project using project management techniques for planning, budgeting, reviewing, and successfully completing the project on time. Orally and through written reports, present his/her project work in a language suitable for technical as well as non-technical audiences. Demonstrate the practice of ethical principles and
coursework and apply the same to successfully complete the project Independently acquire any additional skills, concepts, and/or tools necessary for successful project completion Communicate regularly with the faculty mentor and keep a journal of all work completed in the project Communicate the results of the project to peers and mentors through an oral presentation and a technical reportThe course deliverables listed inTable 2 includes: Project Plan andJournal (22.5%), CommunicationSkills (47.5%) and Technical Merit(30%). Students must take an ill-defined problem and follow a systemengineering approach to implement aproof-of-concept solution.Why Apply Systems EngineeringConcepts?Observations made during assessmentof the
overallpopulation is consistent with MMA’s series of 5-year plans which targeted overall growth from800-1200 and then from 1200-1600 students.Figure 2 is a highlight of the enrollment data for females only.Figure 2, Historical female enrollment as a percentage of overall enrollment from 1980 to 2015 3The greatest growth in female enrollment as a percentage of overall enrollment occurred in the1990’s. The decline in the percentage of women observed from 2003 through 2008 was as aresult of a corresponding growth in overall enrollment and the inability of the AdmissionsDepartment to keep up with the numbers of female applicants. Since 2010, the number ofwomen enrolled at MMA has more than doubled, from 109 to
years. He has 7 US patents, of which 3 have been commercialized by the university. This research work is a collaboration with the Children’s Services Council of Broward county in FL.Dr. Diana Mitsova, Florida Atlantic University Diana Mitsova has a background in research design, statistical and spatial analysis, as well as environ- mental planning and modeling using geographic information systems, and interactive computer simula- tion. Her primary area of research involves the impact of urban development on ecosystems and other environmentally sensitive areas.Her recent publications focus on the impact of climate-related stressors on coastal communities and the implementation of planning approaches related to
stated, the very process of pursuing support can be a challenge for some students.Provided the nature of college-level disability support offices, students have to requestaccommodations and present current documentation detailing their disability (Habmlet, 2014).While students may have had an individualized education plan (IEP) and student support team inhigh school, it does not mean that they were made aware of the process or documentation neededto secure services in college. If students know about college-level disability support services andpursue them, they may present documentation from high school, which in many instances is notsufficient for services at the college level (Hamblet, 2014). In this case, the student would thenhave to get the
-Gencturk, Hug, and Lubienski 2013). Classroom observations, on the other hand, are generally moreobjective, but are expensive and time intensive. Several research-based observation protocols have beendeveloped in recent years: Reformed Teaching Observation Protocol (RTOP), Extended InquiryObservation Rubric (EIQR), Science Teacher Inquiry Rubric (STIR), and the Practices of ScienceObservation Protocol (P-SOP) Forbes, Biggers, and Zangori 2013.)For our purposes, we define teacher practices as the behaviors teachers engage in to plan, deliver, andreflect on their teaching. Improvement in teacher practices is being defined by changes in the frequencyand nature of the teachers’ use of guided-inquiry and active learning activities.After researching
thatfaculty who have participated in these opportunities will apply their knowledge and newunderstandings of difference towards advancing transformation through actions to create changewithin their spheres of influence.Multiple faculty-driven projects have emerged from the 2016 CBEE taskforce on equity,inclusion and social justice. Three examples of ongoing projects are described below. Inclusive and Socially Just Teaming Practices. The goal of this project is to develop faculty capability to design and implement processes to develop students’ capacities to engage in inclusive teaming, where diverse voices are encouraged and valued. Towards this end, a professional learning community is being planned to provide a facilitated
many seconds) does it become possible to determine if a student will struggle. Asimple neural network is proposed which is used to jointly classify body language and predicttask performance. By modeling the input as both instances and sequences, a peak F Score of0.459 was obtained, after observing a student for just two seconds. Finally, an unsupervisedmethod yielded a model which could determine if a student would struggle after just 1 secondwith 59.9% accuracy.1 IntroductionIn this work, the role of machine learning for planning student intervention is investigated.Specifically, t his w ork a sks t wo q uestions: ( i) C an a s tudent’s s truggles b e p redicted basedon body language? (ii) How soon can these struggles be predicted
understanding of research problems thaneither approach alone”25 (p. 18; see also Creswell and Clark26, Ch. 3), including use of multipleand complementary sources of evidence throughout the process, and leveraging the strengths ofmultiple research paradigms.Data Collection: Table 1 summarizes the data collection plan through the phases of the designprocess. In each phase, we will collect data from various stakeholders from Electrical andComputer Engineering (ECE) and Biomedical Engineering (BME) that inform both our researchquestions as well as the design and implementation of the solutions to achieve our objectives.Each measure is described in detail below.Table 1. Data Collection Plan Sources by Phase and Stakeholder Group Design Phase
combined.Cost for Students: noneCost for the University: staff member with counseling expertiseAcademic Integration Component: 1:1 discussions and group workshops on degree planning,study habits, time management, test-taking, effective writing, overcoming failure, and growthmindset/self-efficacy.Social Integration Component: Monthly student socials.Professional Integration Component: none for first-year students; alumni dinner for sophomorestudents with informal conversations about careersAssessment Methods: A focus group for first year versus sophomore participants at the end of theacademic year, along with tracking of retention and graduation ratesE. Voluntary Rising Sophomore Eight-Week Summer BridgeTarget Audience: Entering first-year students who
welcome and participant introductions, followed byexplaining the rationale behind chosen team model, and engineering faculty members presentingtheir respective projects. Additional aspects discussed include obtaining identification cards,parking permits, CMU campus tour, engineering and technology building tour, coaching sessionson team building, classroom flipping techniques, and engineering programs at CMU.In the second week, participants spent 25 hours on research, 8 hours on coaching (teachertraining), 4 hours on group reflections and team planning, and 3 hours visiting other researchlabs and attending talks of various individuals. Some of the research projects that participantswere involved include: i) Internet of Things for Mobile
caused a loss ofproject data, and six mentioned needing to improve their skills with using a computer and/or theediting software. One student offered: I spent eight hours on my project, and I lost my flash drive. So I learned to back it up. I have an external hard drive now so I can back up to it. When you said to make a backup in the lab, I just made a copy on the same flash drive. I never thought of losing my flash- drive.In terms of demonstrating communication skills, seven of the nine students interviewed haddeveloped a planning document to assist with the organization and planning of the video project.While such a document was recommended for completing the project, there was no requiredtemplate or format assigned