Group, Inc., a specialty consulting firm with a focus in process safety, chemical security and emergency management. Outside of UMD, Catherine can be found at her alma mater Elizabeth Seton High School, where she serves on the Strategic Planning Committee and helps with their blooming engineering program.Prof. W. Ethan Eagle, University of Maryland Dr. Eagle is a professor of practice in engineering and innovation design. His curriculum design for in- novation, co-developed by and building on the research of Jeff and Staney DeGraff, was adopted by the University of Michigan ’Certified Professional Innovator’ program in 2014, one of the first such certifi- cations in the country. Now a faculty member in the Keystone
Dynamics Concept Inventory (DCI) – The Past, Present, and FutureAbstractThe Dynamics Concept Inventory (DCI) was developed over 15 years ago as a tool forinstructors teaching Dynamics to assess their students’ gains in conceptual understanding ofthe material. Since its initial release, there have been hundreds of downloads of theinstrument, and the initial papers presenting the instrument have been referenced over 100times. In this paper, we will 1) present a brief history of the development of the DCI, 2)evaluate the ways it has been used since its release with the hope of encouraging moreengineering faculty members to use it, 3) summarize results from those who have used it, and4) present plans for future development and distribution.History of
experimentalperiod [16]. ER may play a role in engaging students with disabilities to further allow foracademic developments through robotics concepts and activities.Application of ER in a program for students with Down syndrome also yielded positive results[18]. As seen previously, the use of robotics was able to capture the attention of these studentsand enabled them to learn in a cooperative environment. Moreover, assessments suggested thatstudents with Down syndrome exhibited improvements in cognitive functions such as visuo-spatial working memory and mental planning after completing a robotics challenge [18]. Whilerecent work indicates that robotics is a viable tool to assist special needs students in overcomingtheir leaning and developmental
machine settings and attach to the Re3Dprinting 3D Printing with Recycled Plastic- Pellet Printer Progress Report 1/15/2018externalized) and develop a plan for the most efficient and beneficial use of this PLA than the prints of purchased PLA. With further testing we hope to quantify this roll. Salac Photodegradation and Biodegradation of Poly(Lactic) Acid Containing Orotic Acid as a Nucleationequipment. discrepancy
observed that teams were eager to talk about what brought them together andtwice requested more time before moving on to the next activity. Our aim, however, was tointroduce teams to strategies and activities that they could later replicate on their own with theirlarger teams, whenever they need to. We hoped that this would be just the first time they wouldwork on team and goal formation, and we planned to follow up with the new teams regardingtheir work in this area. For the second session at the workshop, we asked the attendees to list the opportunitiesand challenges they anticipated encountering with their RED projects during the first year. Wehave observed that working on a large and exploratory project like a RED project brings
0.4316 arranged such that we are rarely interrupted Q1_12 My mentor provides me with support 3.1111 0.8916 0.4242 when I am emotionally unsettled. Q1_13 My mentor asks me probing questions 0.9885 0.7403 2.8519 so that I can reflect on my academic career PLANS Q1_14 My mentor expresses confidence in my 3.8519 0.9885 0.6446 ability to succeed in the pursuit of my career goals Q1_15 My mentor encourages me to use them 3.4815 1.0141 0.5408 as a sounding board to explore my ideas
; students who were more engaged in the class via page views and accessing the technology reported to perform better (on average) in the class. • Moreover, students who performed better on the assignments (i.e. case study examples and MasteringEngineering™ homework assignments) tended to perform better in the class overall.Additionally, a few key lessons learned regarding the integration of case studies into the coursevia a design lab revealed some noteworthy points: • Timing and Planning: keeping on schedule with the lecture topics was critical in making sure that students had the information needed to understand how to solve the case studies. • Strategies for Effective Learning: the case studies enabled students
, and smallteams of youth often complete and present projects. Figure 1 shows a typical DHF course setting.Figure 1: Typical setting for DHF’s courses: Classes take place in a large, open-plan spacewhere youth work on self-directed projects and learn about design thinking, digital fabricationand computer science.Key components of many DHF courses, including Maker Foundations, are digital fabrication,circuitry, coding and web development. The fabrication modules consist of 3D modeling andprinting, as well as, laser cutting exercises and the use of a variety of materials including metaland wood. The fabricated objects are often combined with interactive electronic components,such as Makey Makey’s and Arduinos. A typical youth project might
success in STEM through psychological stress, inter- rupted STEM career trajectories, impostor phenomenon, and other debilitating race-related trauma for Black, Indigenous, and Latinx doctoral students.Dr. Joyce B. Main, Purdue University at West Lafayette Joyce B. Main is Associate Professor of Engineering Education at Purdue University. She received an Ed.M. in Administration, Planning, and Social Policy from the Harvard Graduate School of Education, and a Ph.D. degree in Learning, Teaching, and Social Policy from Cornell University. Dr. Main examines student academic pathways and transitions to the workforce in science and engineering. She was a recipi- ent of the 2014 American Society for Engineering Education
learning was takingplace, or at the end of the lecture/lab session, students were prompted to reflect on each lecture oractivity they were exposed to. Their feedback helped us to revise our scheduling and plan for thenext lecture/hands-on activity and make changes as necessary. To get a better understanding onthe students’ expectations and their learning goals, we asked the students about their favoritesubject areas and academic as well as career goals.Program’s Assessment (provided by the program’s Administration)All faculty submit an assessment (self-efficacy, self-reflection, creativity and innovation,collaboration/teamwork, problem solving/critical thinking, etc.) on every student on their roster.Students complete a faculty evaluation and
, students carryout their plan to generate a functional prototype and demonstrate that it validates the establishedneeds. In pursuit of objective 1, the 2019-2020 course now requires ID students to leadstakeholder interviews and make concept sketches in the fall and generate the following for theproduct in the spring: a logo, a storyboard illustrating product-user interactions, and aninformative webpage. Like previous years, the 2019-2020 course year will end with a final posterpresentation and a written report in the format required for the VentureWell BME ideacompetition. To guide work allocation between subteams, instructors provided recommendationsduring lecture and/or stated in the syllabus (Appendix A) whether engineering, industrial design,or
, in American Society for Engineering Education. 1998.21. Davishahl, E., et al., Statics Modeling Kit: Hands-on Learning in the Flipped Classroom, in American Society for Engineering Education. 2018.22. Howard, A.K.T., Work in Progress: 3-D Models with Lesson Plans, in American Society for Engineering Education. 2019.23. Freeman, S., et al., Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 2014. 111(23): p. 8410.24. Burgess, R., In the Field: An Introduction to Field Research. 1984, Abingdon, United Kingdom: Routledge.25. Green, B.S., Learning from Henry Mayhew. Journal of Contemporary Ethnography, 2002. 31(2): p. 99
in safety, design and all processes available to perform any kind of work for a raw material. It would be important to have a space in the course to perform cost management analysis for the raw material, for the elaboration process, for maintenance. It would be interesting to perform statistical analysis, design, planning, operations management, simulations and problem solving. - We were completely lost when the professor was mentioning all the concepts he was going to teach us in the semester. But thanks to the professor’s easy to understand teaching, we survived. Impressively, the professor explained the concepts with real life problems that made it incredibly easy to understand. He
motivation by institution type.Current work is being dedicated to set up CIT interviews, so interviews can be completed withthe next sample of students Fall 2020. From these interviews, we plan on analyzing recurrentpatterns relating to motivation and connecting these themes to engineering identity responses.We hope to see an improvement in depth of response and in conducting CIT interviews, andidentify further areas of improvement before launching a more broadly disseminated study.References[1] Prybutok, A., Patrick, A., Borrego, M., Seepersad, C. C., & Kirisits, M. (2016). Cross- sectional Survey Study of Undergraduate Engineering Identity. 2016 ASEE Annual Conference & Exposition Proceedings, 26610. https://doi.org/10.18260/p
Engineering, Dr. Barrella holds a Master of City and Regional Planning (Transportation) from Georgia Institute of Technology and a B.S. in Civil Engineering from Bucknell University. Dr. Barrella has investi- gated best practices in engineering education since 2003 (at Bucknell University) and began collaborating on sustainable engineering design research while at Georgia Tech. Prior to joining the WFU faculty, she led the junior capstone design sequence at James Madison University, was the inaugural director of the NAE Grand Challenges Program at JMU, and developed first-year coursework and interdisciplinary electives. American c Society for Engineering
participants will continue with the virtual writing group, part of which includescontinuing to write reflections after each weekly session. After participating in the virtual writinggroup across two semesters (Fall 2019 and Spring 2020), the authors plan to applyautoethnography data analysis techniques to formalize the study into a journal manuscript.Assuming this goes well, the authors will consider developing a “toolkit” to empower new andearly career faculty to develop individual and community potential through virtual writinggroups.WIP: Feedback RequestedGiven that this paper is a WIP (work-in-progress), the authors are seeking feedback from thecommunity in the following areas.1. Anecdotally speaking, if you have participated in a peer group, what
] developed a Draw an Engineer Test (DAET) where elementary andsecondary youth provided written and drawn responses to a set of questions regarding theirpreconceptions about engineers. Their responses were found to be generally simplistic, forexample, engineers were commonly depicted as workers who constructed buildings or repairedcar engines, though older participants more frequently mentioned engineering design tasks. Themost common stereotypical actions youth perceive engineers to do are to design, plan, and orperform physical labor. Common images included tools, cars and computers. Consistent findingswere reported by a number of subsequent investigations using similar data collection methods(e.g. [1], [9]–[12]). Further, youth displayed signs of
General Knowledge Interesting sessions; Learn 9.3% (15) new thingsa 5.4% (N=9) of respondents reported they do not want to or plan to be an engineerb 1.8% (N=3) of respondents reported they do not know how the conference connects to their educationc 4.9% (N=8) of respondents reported they were unsure how the conference related to their career goals Engineering Student Identity: Participants were asked to respond to survey itemsrelated to three factors: Commitment to engineering/computer science majors, engineeringcompetence, and engineering agency. Commitment to Engineering/CS Majors: Three survey items were taken from a studyby Fleming et al. [6] to assess the
researchers would have improved thecourse design as well as prepared for the study to be offered on a larger scale.Methodology and ImplementationThe fundamentals of engineering design (FED101) course at NJIT is offered to all incomingengineering students. Students take different versions of this course depending on their major,although, the goals and learning outcomes are consistent across all offerings. The authors areinvolved in planning and instruction of this course for the General Engineering studentpopulation. General Engineering houses students that are still-deciding on their major and thosewho are underprepared for engineering study based on their application data. In Fall 2019 threesections of FED101 course were offered for General
further improving thesemodules.High level summaries of Modules 1 through 3 are included in Appendix B, the initial plan was tohave these modules interjected respectively at each design phase. In reality seeds of teambuilding were needed in the beginning phases of the design process. Related to Tuckman’stheory on team development, it is during the forming and the norming stages that directintervention could be most effective [6]. Yet we also see the possibility of having a fourthmodule that might help sustain the team’s momentum in the performing stage. Though studentsare giving responses to the module in a team setting/context, what is operationalized in the studyis the individual as a team member. Therefore, the distinction here is the focus on
the real vehicles to be used in this project, e.g., a Ford SUV. Although many 3D vehicle models are available for purchase, they usually only contain the exterior of the vehicle and don’t have any internal parts of the vehicle. We plan to use 3D scanning to generate partial 3D models of some typical internal parts, e.g., engine and pump. c. Develop the Standalone Mode of the AR application that contains interactive visualizations and animations that illustrate a variety of vehicle maintenance and repair procedures. Interactive visualization guides the user through the troubleshooting or maintenance process, showing one step of instruction at a time with 3D animations that greatly improve user’s
difference between asset mapping and needs assessment [22] is key todeveloping effective blended IASM and ABCD mapping projects for engineering education. Aneeds assessment conducted for engineering is normally limited to providing a technical solutionrooted in community needs as grasped by engineers. As such, needs assessments usuallyestablish the hierarchical mindset and encourage delivery of engineering solutions irrespective ofa community’s ability to sustain it after the intervention is completed. ABCD solutions, on theother hand, focus on incorporating the community’s context-specific strengths into theengineering plan. The resulting plan itself provides a roadmap for the community to sustain theintervention long after completion.Our work in
Engineering Stress Culture," in 2019 ASEE Annual Conference & Exposition, 2019.[9] B. D. Jones, M. C. Paretti, S. F. Hein, and T. W. Knott, "An analysis of motivation constructs with first‐year engineering students: Relationships among expectancies, values, achievement, and career plans," Journal of engineering education, vol. 99, pp. 319-336, 2010.[10] Fereday, J., and E. Muir-Cochrane, Demonstrating rigor using thematic analysis: A hybrid approach of inductive and deductive coding and theme development. International Journal of Qualitative Methods, 2006. 5(1): p: 80-92.[11] MacQueen, K. M., E. McLellan, K. Kay, and B. Milstein, B, Codebook development for team-based qualitative analysis. Cam
Paper ID #31733Work in Progress: Impacting Engineering First-year Students Retentionthrough a Non-conventional Engineering Learning CommunityDr. Sonia M. Bartolomei-Suarez, University of Puerto Rico, Mayaguez Campus Sonia M. Bartolomei-Suarez is a Professor of Industrial Engineering at the University of Puerto Rico Mayag¨uez (UPRM). She graduated with a BS in Industrial Engineering from UPRM (1983), a MSIE (1985) from Purdue University, and a PhD in Industrial Engineering (1996) from The Pennsylvania State University. Her teaching and research interests include: Discrete Event Simulation, Facilities Planning, Material
operationalconditions of traffic flow and can be based on service measures such as speed and travel time,freedom to maneuver, traffic interruptions, comfort and convenience.There has been an increase in the population of Philadelphia by 17% over the last decade. Ofthose new residents, approximately 80% drive their car more than three times per week. ThePhiladelphia Traffic Planning Committee has been conducting surveys of drivers andpedestrians to gauge the level of congestion and ability for drivers to navigate the streets. Theyhave approached your team for advice on certain key intersections on our campus in particular.We will use the 10-step design process.Objective: Your team’s objective is to make lane and signal recommendations for the
of practicing engineers and to better articulate the nature of the broader set ofcompetencies that are important to accomplishing the work of engineers. In the next section webriefly review the idea of competencies. This is followed by a brief overview of the socializationprocess by which newly hired engineers learn to do their new jobs competently and effectively inthe workplace. Then we present the design of this study followed by an overview of the findings.Finally, we conclude with a discussion and conclusions, including the plans for continuing workon this study, and initial implications for engineering education.Brief review of competence and organizational socializationThere is little consensus about the definition of competence or
Polymer Emulator, to compare the results withpredictions based on the theory learned in class and to discuss the impact of molecular parameterson the validity of the statistical network elasticity model.The Polymer Emulator has been installed in Undergraduate Research Laboratories in the homedepartments of the principal investigators. The original plan was to implement the PolymerEmulator in the module on ‘Network Polymers’ that is being taught as part of the Colloids,Polymers and Surfaces Laboratory class (06-802/39-802) that is offered in the Spring 2020. Dueto recent events and University closure, a testing of the device in class was not possible. We planto implement the device as part of the next occurrence of the class in the Spring 2021
Education, 2020 Work In Progress: Transitioning to Two Semesters: The Development of a Full-Year CornerstoneAbstract This Work in Progress paper describes the plans for the development from New YorkUniversity’s one-semester introductory engineering course, referred to as EG 1003, to a full-yearcornerstone. Several universities have implemented a two-semester cornerstone model. Thisstudy builds on past research in making this transition, and surveys students to determine theirgoals for their first-year. If the university decides to develop a year-long version of EG 1003, itwill be oriented around the first-year students’ goals. This study addresses thecomponents students enjoy in the one-semester cornerstone, what
]). TABLE I. LITERATURE DEFINITIONS OF MENTORING Definition Source “a collaborative process in which mentees and mentors take part in reciprocal and dynamic activities [7, p. 35] such as planning, acting, reflecting, questioning, and problem-solving” “a form of teaching where faculty members provide advice, guidance, and counsel in the areas of academic, career, and personal (psycho-social) development, which can occur either individually or [11, p. 48] in small groups” “a dyadic, hierarchical
working on the project. This may require amodified plan for teaching students how to code and might work better with a simpler codinglanguage, such as Scratch. Nevertheless, this would still be an authentic, unique experience forstudents to learn and apply engineering practices. Projects which involve coding and creating machines that read and analyze data relatedirectly to the emphasized Science and Engineering Practices of the NGSS, which includedeveloping and using models and analyzing and interpreting data [13]. Developing and usingmodels is something that every scientist does in one way or another, as there are many optionsfor models including diagrams, replicas, mathematical representations, and computersimulations. Many secondary