running each of “our” two experiments. During these pre-lab meetingswe make sure the students have prepared well for their lab day focusing on 1) safety, 2) theefficacy of their experimental approach (which they design based on some minimumexperimental objectives, increasing in number and complexity as the weeks go on), and 3) theiranalysis plan. These pre-lab meetings are run in a Socratic manner where we ask questions toguide rather than give answers. We read and provide feedback on two drafts on Monday, go overthose commented drafts in meetings with students on Tuesday, then comment the Group B draftsthat same day for the Wednesday draft reviews. On top of this, professors attend two oralpresentations on Tuesday and two on Wednesday, providing
. 14 VEX competition path planning methods and analysis 15 VEX 2018~2019 Competition Field Set up and midterm 2 examination. 6 16 Public speaking and presentation skills workshop 17 VEX team roles, team structure, and organization. 18 Practice presentations of their current group robot progress. 7 19 Mathematics required in the VEX competition. 20 Group assignment and proposal of final project 21 Final project development 8 22 Final cumulative examination and final project development 23 Final project presentation and peer evaluations 24
EFFECTs for transportation disruptive technologies in CE and EEcourses. Table 3 shows the next phase of infusion will include courses in digital logic and digitalsignal processing. There are also plans to implement EFFECTs for introduction to transportation,environmental engineering, and computer architecture courses starting in the Fall 2019 semester.Summer training workshops will be held to support Phase 2 infusion. Workshop materials willbe revised based on lessons learned from the first three EFFECTs. It is anticipated that futureEFFECTs will benefit from utilization of the Autonomous Vehicles (AV) Learning Lab spacethat has been created at Benedict College. Table 2. Target Courses for Phase 2 Infusion of Transportation Disruptive
. Byxbe, "Community colleges under the microscope: An analysis of performance predictors for native and transfer students," Community College Review, vol. 28, no. 2, pp. 27-42, 2000.[2] R. Mullen and M. T. Eimers, "Understanding transfer success revisited: Transfer students—Who are they and how successful are they," in MidAIR Fall Conference, Earth City, MO. https://uminfopoint. umsystem. edu/media/fa/planning/degrees/understandingtransferstudents successrevisitedpaper. pdf, 2001.[3] L. S. Hagedorn, H. S. Moon, S. Cypers, W. E. Maxwell, and J. Lester, "Transfer between community colleges and 4-year colleges: The all-American game," Community College Journal of Research and Practice, vol. 30, no. 3, pp
significant number of journal articles and book chapters on these topics.Dr. Kristen L. Sanford Bernhardt, Lafayette College Dr. Kristen Sanford Bernhardt is chair of the Engineering Studies program and associate professor of Civil and Environmental Engineering at Lafayette College. Her expertise is in sustainable civil infrastructure management and transportation systems. She teaches a variety of courses including sustainability of built systems, transportation systems, transportation planning, civil infrastructure management, and Lafayette’s introductory first year engineering course. Dr. Sanford Bernhardt serves on the American Society of Civil Engineers’ Committees on Education and Faculty Development and the
team member contribution or guidance from a facilitator. Overt activities include: connect or link, reflect and self-monitor, planning, predicting outcomes, and generating hypotheses [20]. Collaborative Students’ dialogue substantively on the same self-constructed idea vocalized to the team. They engagement can accept the ideas presented to the team, little conflict is caused, and dialogue serves to continue the current course of discussion. Or, ideas are questioned or misunderstood, disequilibrium leads to students trying to bring the course of discussion to their understanding. Overt activities include: building on a team member’s contribution, argue, defend
the usefulness of these cartoons was an afterthought, so an important lesson learnedwas to plan out a way to evaluate the benefits before the semester ended and the studentsdispersed. The end-of-course survey could have been modified to include questions about thecartoons which would have provided more student feedback data.The author changed universities in Fall of 2017 and as of the writing of this article is midwaythrough teaching Dynamics at the new school. Newtdog and Wormy are featured prominently,and a renewed focus on using the cartoons as catalysts for discussion has led to improvedengagement, especially helpful with a new faculty member. There has been more cartoondiscussion at the introduction of each new topic, and images such as
used for department wide planning and improvement activities. Thismethod engages the learners and the teachers in a cycle that allows real and sustainable labimprovement to be made.References[1] Feisel, L. D., & Rosa, A. J. “The role of the laboratory in undergraduate engineeringeducation.”, Journal of Engineering Education, 94(1), 2005, pp 121-130.[2] Domin, D. S., “A review of laboratory instruction styles.” Journal of Chemical Education,76(4), 1999, pp 543-547.[3] Abdulwahed, Mahmoud, and Zoltan K. Nagy. "Applying Kolb's experiential learning cyclefor laboratory education." Journal of engineering education, 98.3, 2009, pp 283-294.[4] Wankat, P. C., & Oreovicz, F. S. Teaching engineering. Purdue University Press, 1993, 99292-294[5
should be given, and equations should be applied consistently using the convention indicated in your diagram. All symbols need to be defined, including those given as initial conditions in the problem statement or new ones that are needed for the problem solution. A free body diagram will be included when appropriate. You may need more than a single figure for more complicated problems.5) Algebraic solution. Start by stating the general equations you plan to use for the solution, which should also clearly relate to your stated known and unknown variables listed from your problem statement and diagrams. An algebraic solution of the problem (i.e. in symbolic format, no numbers plugged in) should be given
keep the focus of the changes on students’backgrounds and desires. The new program structure consists of a base of six courses for allstudents in the program, followed by primary and secondary concentrations (seven courses andthree courses respectively) from a variety of technical specialties in ECE. Students will also havethe option defining their own secondary concentrations rather than choosing one of the definedsecondary concentrations. At the time of this writing (January 2018), the new program structurehas been approved by the faculty, the paperwork for university approval of the structure is beingprepared, and planning is underway for implementing the changes in the fall semester of 2018.More information about this project is available
yourself make you like an engineer? and, (4) What characteristics ofyourself make you unlike an engineer? These questions were developed to explore students’feelings of belongingness within the field of engineering and how they conceptualized theiralignment with the role of an engineer in their communities of practice. Due to the semi-structured nature of the interviews, the order of presentation varied and each of these fourbelongingness questions were not asked in every interview. For this analysis, only the directresponses to these four belongingness questions were investigated. Table 1—Participant Information Institution Pseudonym Gender Race/Ethnicity Planned major at time
through application to the practice of design (Synthesis); and • Develop habits of detailed documentation of your process and knowledge gathering. While the main purpose of the course was to foster moral imagination, the week-to-week structureand motive power of the course derived from a four-stage design process: 1) identifying the designopportunity, 2) engaging in design research, 3) developing a conceptual design, and 4) thinkingthrough a plan for the lifespan of the design solution. Given constraints of a one-semester course,and the parallel task of considering ethical implications, we divided the term into three parts, cor-responding to the first three stages of the design process; the fourth stage served as an abbreviatedepilogue to the
curriculum developed in this project andopen-source training software “RobotRun” will enable three modes of adaptation, which areshown in Table 1. All three modes will allow any institution to teach robotics skills; modes oneand two will also allow for industrial training and certification, which will enable the other newprograms to grow and expand. Table 1: Modes of adaptation by other institutionsYear 1 and 2 Project ProgressMichigan Tech and Bay College have actively collaborated during Year 1 and 2 of this projectand achieved significant advancements in the proposed activities. Tables 2 and 3 provide detailson which activities have already been accomplished or planned to be completed by the end of thefiscal year at the
as it is.This research is a first step in our analysis of student experiences and outcomes. We have begunby documenting the efforts made by our study institutions to help their Black students to besuccessful. We will continue to interview other key informants as appropriate on our studycampuses as the study progresses. We also plan to interview 80 Black students who are currentlymajoring in or have switched from ME and ECE majors on these campuses to learn if and howthese programs may have impacted them as well as what other factors they credit with theirremaining in or leaving these majors. Our quantitative study will build on the analyses in [1] and[2], among other studies, while focusing on Black students at our study sites. In particular
Paper ID #25003Joyce B. Main is Assistant Professor of Engineering Education at Purdue University. She holds a Ph.D. inLearning, Teaching, and Social Policy from Cornell University, and an Ed.M. in Administration, Planning,and Social Policy from the Harvard Graduate School of Education. c American Society for Engineering Education, 2019 Race, Veteran, and Engineering Identities among Black Male Student VeteransAbstractUsing interviews with seven Black Student Veterans in Engineering (BSVEs) at threepredominantly White institutions (PWIs), we explore how the identities of Black, Male, Veteran,and Engineering student are enacted during their undergraduate engineering experience. Weapproach this study informed by
using Neural Networks. It can be understood that thetrained neural network model takes irradiance as input and outputs the recommended topological configuration. Anexample use case is given in the bottom. Students will use the program for selecting the appropriate topology fordifferent irradiance conditions. All the exercises and learning modules are used in our DSP class. Portions of the training moduleshave also been used in our REU site program (Fig. 14) to train undergraduate students in sensors andmachine learning. We also plan use of our modules in an upcoming international research experiencesprogram at the University of Cyprus. Fig. 14. REU students and faculty at the SenSIP solar site. Students have been introduced through a module
teaching and learning”, 2000, pp.171-200.[28] E. Wenger, Communities of practice: Learning, meaning, and identity, Cambridge university press; Sep 1999.[29] A. Amin, “Ethnicity and the multicultural city: living with diversity”, Environment and planning A, 34(6):959-80, Jun 2002.[30] GA. Fine and LJ. Van den Scott, “Wispy communities: Transient gatherings and imagined micro-communities”, American Behavioral Scientist, 55(10):1319-35, Oct 2011.[31] SB. Merriam, Qualitative Research: a Guide to Design and Implementation, 2009.[32] N. Valanides, “Analysis of interview data using the constant comparative analysis method” In Using analytical frameworks for classroom research, Routledge, pp. 77-89.[33] C. Gilligan, “Strengthening
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
purpose of this second coding system was todevelop a simpler and more viable option to assess the sole construct of what engineers do. Itallows the participants conceptions of engineers to be coded into the following categories: Designer: Designing or improving objects or processes, usually portrayed by drawing plans or performing specific parts of the engineering design process, an implied client or public use is intended Technician: Computer or electronic technician portrayed by a person fixing something electronic Design/Create single: Hobbies, crafts, and designs for personal use or making one object for a specific person Tradesman: Carpenters, plumbers, welders, etc. where a person is fixing
engineering problems by comparing results from both application of models/physical principles and measurement data. 5. Students will apply basic teaming principles (such as the Tuckman’s Model) and team effectiveness practices while working with their teams. 6. Students will write a technical report and give an oral/multimedia presentation following [course name] technical communication guidelines which include formatting, explaining and justifying aspects of the project. 7. Students will construct detailed project plans using basic project management techniques (such as scheduling and budgeting) and methods (such as Gantt charts). 8. Students will self-evaluate their prototype design decisions and reflect on the
] "Grundfos SQFlex 60 SQF-3 Centrifugal Submersible Solar Pump," Northern Arizona Wind & Sun, 2018. [Online]. Available: https://www.solar-electric.com/grundfos-sqflex-60-sqf-3- solar-pump.html. [Accessed 18 April 2018].[25] M. Nasir, S. Iqbal and H. Khan, "Optimal Planning and Design of Low-Voltage Low-Power Solar DC Microgrids," IEEE Transactions on Power Systems, 2017.[26] Digi-Key Electronics, "Electronic Components," Digi-Key Electronics, 2018. [Online]. Available: https://www.digikey.com/products/en. [Accessed 16 April 2018].[27] J. P. O'Connor, Off Grid Solar: A handbook for Photovoltaics with Lead-Acid or Lithium- Ion batteries, CreateSpace, 2016.[28] K. Ardani, E. O'Shaughnessy, R. Fu, C. McClurg, J. Huneycutt, and R
processshortcomings, increase software quality, and aid in development planning [11], [19]. Studentconfidence can be increased by comparing their metrics to those published in the literature.Furthermore, the instructor gains insight from collecting metrics on the students’ softwareprocess. The instructor can observe the improvement in individual and class abilities, as well asacquire indicators of the relative complexity of homework and design assignments. Manysoftware measures in IEEE Std. 982.1 are obtained very naturally during the developmentprocess described in the previous section [3]. Throughout the design activities and the inspectionprocess, students are asked to record: Defects -- identified by author, design task, defect type, and severity
material that may have been prepared in previousyears, another investment of time and energy. These “energy bumps” become less severe as thesemester progresses and especially in subsequent years, but the additional upfront effort coulddiscourage some young faculty from implementing the new model. These concerns are partially,though not completely, alleviated by the new course structure proposed in the previousparagraph.Some tips for ease of implementation: 1. Plan ahead. The number one tip is to strategize and prepare in advance as much as possible. From choosing the software one feels more comfortable with to design the exams with, to having handouts prepared in advance (during previous semester or over the summer), to having
schoolopportunities), there are also plans to further improve the video content by adding interviewswith alumni on what companies are seeking in resumes, interviews, etc. and their own stories ofwhat made their employment searches successful. The goal is to add a level of credibility to thelessons by having the students hear messages from professionals in industry who graduated fromValparaiso University engineering programs, and to keep the ESSP content current byhighlighting hiring practices and networking software used in practice.9.0 SummaryThe College of Engineering at X University has developed the ESSP to help students develop thenecessary skills to find excellent jobs in their desired fields of study. The program consists ofstand-alone Blackboard
. Tinkering SE 4 0.87 0.89 Design SE 4 0.90 0.94† Abbreviations: SE = self-efficacy; OE = outcome expectationsChoice Self-Efficacy and Student Major ChangesStudents’ self-reported majors at admission (Figure 1, left column), six weeks into the Fallsemester (Figure 1, center column), and the major they are most likely to pursue (Figure 1, rightcolumn) were analyzed to visualize trends in student majors. Over 71% of all students indicatedtheir major was and would be the same at each of the three time points (n = 219), but there arestill many students who indicate a change in major or a planned change in major (n = 89
consisting of creative self-efficacy questions. II. Lesson Introduction | The lesson/module began with a class discussion on the engineering design process, which focused on conceptualization and creativity, which was developed from a lesson plan inspired by Starkey et al. [19]. Embedded in the slide deck presentation that was assembled to introduce students to the entire process is a YouTube Video (https://www.youtube.com/watch?v=fuaaXMp35NI) (7:41) “developed by the researchers that introduces students to the importance of creativity in engineering design through a series of engineering examples and creativity exercises like an alternative use test [35]” [19], quoted
requests. We will explore suppressing the Techstreet direct requestoption for our patrons, or consider a standard reply that they should use the ILL request system ifthe item will not be used for a course. More frequent analysis of ILL requests and continuedoutreach to patrons about this format type and the potential utility of standards documents in thedesign process will allow subject librarians to identify standards that should be added to thecollection, either in the Techstreet aggregator system, or other multi-user licenses. We have alsoinitiated annual evaluation of the subscribed items in our Techstreet license to remove thosewithout long-term utility.We plan to investigate local cataloging practices that might increase the discoverability
economicexpansion. This escalating use of transportation infrastructure; coupled with financial constraints,has forced transportation agencies to shift more attention on the preservation and maintenance ofexisting infrastructure (i.e., pavements) rather than the construction of new highways [1]. Forexample, the United States Department of Transportation (USDOT) invested $91 billion in 2013for the purpose of pavement maintenance to restore the road network to a satisfactory,operational condition [2]. The main objective of any federal, state or municipal transportationagencies is to develop an efficient system of planning for the maintenance, rehabilitation, andconstruction of roadway networks; within the confines of allocated funding. Most
people skills.” ● “Having skills from a wide range of disciplines help engineers have multiple ways of approaching problems and this helps in solving problems in an efficient way.” ● “The biggest takeaways from this course are that engineering is not at all linear, and that every object you use has real world impacts.” ● “I realized how important the human aspect of the engineering process is. You are never doing something that will affect just you.” ● “Engineering isn’t just designing, it has many more parts to it. It actually consists most of communication, planning and teamwork.”A final aspect of assessment of the course relates to the student evaluations conducted at the endof each module. Total number of students who
approach and the other sectionnot receiving the pedagogy. Formative and summative assessment results of the impactedclasses (two+ in each discipline) should demonstrate the “enhanced student learning andmotivation” with course grades compared to control group or previous course administrations.Additionally, course evaluations, and measurements of cognition, engagement, and motivationwill be determined using the Motivated Strategies for Learning Questionnaires (MSLQ) [24]amended with specifically designed additional items or measures to capture the project'sintervention.During the planning phase for the project, the following criteria were developed for selectingcourses in each discipline for the pilot test implementation of ECP in Spring 2020: 1