research area of transportation planning and evaluation of transportation systems. She started working in the area of engineering education at Purdue University when she taught Introduction to Transportation Engineering in spring 2016. She currently explores top- ics related to undergraduate STEM education improvement, including holistic engineering; connecting teaching, research, and practice; student retention in engineering; and recruitment and retention of under- represented students in engineering. Dr. Pyrialakou also teaches courses on transportation engineering, transportation/urban planning, and civil engineering/transportation data analysis.Dr. Kakan C Dey P.E., West Virginia University Dr. Kakan Dey is an
Society for Engineering Education, 2020 A Comparison of Succeeding Mission-Critical Mechanical Engineering Design/Fabrication Projects.The project, aimed at drawing crowds of local people to our combination Charity event andEngineering Open house late in October, became known as “The Halloween Pumpkin Flingingfor Charity at Baker College School of Engineering”.The first attempt was successful both from a financial standpoint ($350 raised) and perhaps moreimportantly, showed creditable data indicating that student groups, when faced with a problembeyond or outside their skillsets, naturally (with minimal steering) followed a plan of their ownthat turned out to be basically indistinguishable from that of Bloom’s
essential aspects of all professions and, inparticular, the engineering profession. The engineering profession is a form of service, asengineers use their skills and knowledge to help solve problems with innovative solutionsfor the betterment of society. Every engineering project has three major constraints: cost,scope, and time. In addition, design and construction of a solution with design constraintsand very limited resources is highly challenging. Challenges like these require teams to havediverse skillsets, excellent communication, leadership, planning and delegation. One suchchallenge is encompassed in the United Nations Sustainable Development Goal (UN SDG) [1]on food security and nutrition, and sustainable agriculture. One key aspect of
lectures Outline tentative operation schedule Create a list of potential Review Panel members 1st day of class Both sections meet, students choose topics ~1st week of class Introduce topic Form working groups Begin preliminary problem structuring and formulation (typically requires several iterations) Week 6 or 7 Initial presentation to Advisory PanelWeek 7 or 8 (prior to mid- Compile first half semester activities in report form semester break) Incorporate feedback from Advisory Panel into plan for 2nd half of semester
environment, establish goals, plan tasks, and meet objectives.ABET outcome 6: an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.ABET outcome 7: an ability to acquire and apply new knowledge as needed, using appropriate learning strategies.Results from the survey indicate that students agreed that the course/project met the programoutcomes 2, 3, 5, 6, 7 while strongly agree on outcomes 5, 6, 7. Table 1 summarizes assessmentresults. Table 1: Student feedback for ABET outcomes ABET outcome # Assessment Avg. 2 4.2
, both orally and in writing. Overall, the students of this track‘should demonstrate a capacity for flexibility and resilience, as shown by adapting to changingand complex circumstances, balancing competing demands, accepting uncertainty andambiguity, and knowing when to consult with their Capstone instructor’. As with any capstonecourse, project planning, team management, applied research and communication are importantaspects to be demonstrated by the students.Callender, et al participated in a breakout session at the 2012 Trends in Undergraduate Researchin the Mathematical Sciences conference [5]. They concluded that there is not one design for acapstone course that will satisfy the needs and goals of every mathematics program, but
Reactions:SkyCiv reports shear force calculations using shear equations, and bending momentcalculations using bending moment equations for section cuts 0 < x ≥ 9 ft; 9 ≤ x ≤ 18 ft;and 18 ≤ x ≤ 27 ft. To keep the length of the paper short, only the calculations for sectioncut 0 < x ≥ 9 ft is reported here.Shear: 0 < x ≥ 9 ftMoment: 0≤ x ≤ 9 ft.Learning Module 3: Rigid frame analysisThe plan and section views of a reinforced concrete multi-story building [8] discussed in the AT321 structural design course is shown in figures 3-5. The building has double tee-beams (DT),girders (G), and columns (C). In the hand solution method, to simplify the analysis and design,the beams, girders, and columns were analyzed by assuming the ends as simply supported
plan wasdeveloped.Methodology and Project PlanBrainstorming took place to develop numerous potential solutions to solve the issues previouslydescribed. From this brainstorming, the three best proposed solutions were determined forconsideration in further development through the design cycle. A Pugh matrix was developed tocompare these proposals based on desired criteria collected from customer reviews andmarketing research (Appendix A). After analyzing the Pugh matrix, it was determined thatconsolidating a vacuum cleaning system and deep cleaning system into one device was the bestoption. This proposed solution utilized two separate intakes for each system connected via a y-joint, allowing for a split flow path leading to a universal
were invited to attend. A review of the cohort schedule showed thatapproximately three-quarters of the ENGR 2100 students had schedules that would allow them toattend.Students in ENGR 2100 were invited to participate in a survey related to their study habits (hoursper week in class, studying alone, studying with a group), use of tutoring, used of faculty officehours, and work hours per week. Two forms of the survey were administered, one for the start ofthe semester related to students’ plans for each of the categories and one for the end of thesemester related to their actual time allocation. The pre-semester version of the survey is alsoshown in the Appendix. Students who completed both start- and end-of-semester surveys wereentered into a
students will be collected and analyzed to study theteaching and learning effectiveness of these modules for further improvement. Each module willbe a complete, and stand-alone package that operates in three modes, i.e. Learning, Assessment,and Game modes. The Learning Mode teaches fundamental concepts through simulations andvisualization, the Assessment Mode quizzes on the understanding of these concepts withconceptual questions, and the Game Mode gives problems for students to apply concepts andtheir critical thinking and problem-solving skills. All the activities are carefully thought throughand planned to cover, teach, and assess critical concepts in a systematic matter.2. MechGames: Projectile Motion moduleThis section discusses the pilot
each subjectwere determined by university planned common exam times. For example, Chemistry 115common exams were scheduled on Monday evenings from 7 – 9 pm so those tutoring sessionswere scheduled on “off weeks” from exams.Chemistry 115 was scheduled for Monday, Mathematics 155 (Calculus) was scheduled forTuesday evenings and Mathematics 153 / 154 (Calculus Part 1 & 2) was scheduled for Thursdayevenings. These subjects were chosen since the majority of students in the Engineering LLCwere enrolled in those courses.In the spring of 2019, tutoring was expanded to cover Physics 111 (General Physics) andMathematics 156 (Calculus 2) as those were classes that the majority of the students typicallytake in the spring semester.House Cup / Running
together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives. 8. Every group in class participated equally. 9. Every person in my group participated equally. 10. As a result of this project, I have a better understanding of the amount of work involved to design a complex machine. 11. Having the entire class work on a single collaborative project is a better learning experience vs. every person working on individual projects. Students rated the questions above on a scale from 1 – 5 where a 1 was strongly disagreeand a 5 was strongly agree. Results from the assessment survey are shown in Figure 6 below: Figure 6: Course survey, before
common path planning technique is the A* algorithm. The A* path planningalgorithm is presented in lecture, then the students are asked to employ this algorithm as part ofthe artificial intelligence in a game where tanks need to navigate around obstacles to approach anenemy. Similar algorithms, such as Dijkstra's algorithm, are also introduced and the students areasked to evaluate the impact the new algorithms have on the performance of the game, based ontiming or frame rate. These algorithms vary significantly in performance. For example,Dijkstra's algorithm finds the shortest path but explores all possible paths and executes slowly.In contrast the A* algorithm selectively examines paths and therefore completes in a muchshorter time than
tofunction would be valuable to them as both entrepreneurs or as employees of the largercorporation. Again we discovered that giving students the chance to investigate a particular areawas not meant to change their minds to an item. It was meant to make them aware of the areaand understand that it could be valuable to them in the future. Knowledge truly became a force toreckon with.During the next semesters, we plan to expand our reviews of the material and the students’reactions to all the topics covered in the course. Our principle concern is that the student reactionfocuses on material that they have not encountered in other courses on campus. It is especiallyimportant to create an atmosphere where students can gain from topics that they might
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
andrequire an engineer to sign over the intellectual property rights of their discoveries andinventions. Additionally, future engineers need to be aware that when they sign a Non-Disclosure Agreement, those Trade Secrets should not be shared. With intellectual propertyknowledge, the engineer will know how to protect both their own work and the property of theirfuture employers. Intellectual property is often developed within a large plan or development. Adiscovery or invention may be broken into several parts, improved on over time, hidden by useof trade secrets, or marketed by means of trademarks.Engineering instructors include instruction about patents in their classes, but said instruction isoften limited to upper level classes [1,2,3,4] or held
conflict management styles, which can further provideinsights for the continuous course improvement and first-year engineering education. The resultswill be helpful as more and more Generation Z students enter higher education.Design of the “conflict resolution” sessionThe design of the “conflict resolution” session in the “Engineering Problem Solving I” coursefollows the Backward Design Process [13].Stage 1: Desired ResultsOne objective of this course is for students to acquire team working skills with the learningoutcomes to be “function effectively on a team whose members together provide leadership,create a collaborative and inclusive environment, establish goals, plan tasks, and meetobjectives” (ABET LO-5) [14]. Therefore, in Stage 1, we
. If the group decided not to separate the plastics and process fully commingledrecycled plastics, a polystyrene block copolymer or an ethylene-propylene copolymer would be 3the necessary compatibilizer. Since the plan was to sort the plastic to remove polyvinyl chloride(PVC), the compatibilizer that was chosen was poly(styrene-ethylene/butylene-styrene) blockcopolymer mixed with ethylene propylene rubber (SEBS/EPR), (trade name Kraton G). It iscommonly used in polymer mixtures that contain polyethylene terephthalate (PET) to improveflexural and impact strength [2] [7]. The relatively high cost of the compatibilizer is offset bythe low cost of post
people, equipment, and materials that are housed in our labs, facultymembers’ labs, research labs as well as within other companies. The members share what isneeded and house supplies in whatever location is logical for each project at the time. As plans,partners, and project needs change, our equipment and supplies change and move.One of the priority ongoing projects is the operation of a makerspace laboratory that providesadditive manufacturing services to students, faculty, and external customers. A business graduatestudent oversees the laboratory and other students who staff the facility (Figure 1). The lab isopen to all our university students, and printing is free (up to 500g). Trained student staffmembers operate software and assist
instead of hand cutting the pieces. To cut out the folding mechanism, a press or waterjetcould be used to create the general shape. The pedaling mechanism would have to be pressedtogether with the sprocket and axle parts. Roller chain would be best put on by a human. Theremaining pieces could be purchased from a vendor similarly to how it was done to complete thescooter now. After the rest of the parts are purchased, they could all be attached to the boardeither by a human or a robot.Testing and Refinement Scootie gang planned to test the prototype in the following areas: Plywood deflection,Steering range of motion, maximum height of obstacle, maximum user speed, security of lockingmechanism, protection from the elements. To test each of
between 15 and 22. It found that women are turning their back on these sectors for a variety of reasons, including a lack of science, technology, engineering and mathematics knowledge (30%), a perception that the industries are sexist (13%), and a belief that science, technology, engineering and mathematics-based careers are better suited to men (nine percent)”.High School Context and Formation of Educational and Career Plans Schools could play a positive role in highlighting the salience of gender in career relevantdecisions including the gender gap in science, technology, engineering, and mathematicsorientations [55]. A strong high school curriculum in math and science provides moreopportunities for concrete