researchquestions for this stage of the study are: 1. What are the different types of feedback coaches provide and what characteristics distinguish the different types of feedback? 2. What is the relationship between coach feedback and the development of the experimental models and strategies students apply as they work to complete the assigned task?FeedbackFeedback is an essential tool used by instructors to close the gap between current performanceand desired performance. In education, it takes many forms, including interactions both insideand outside the classroom. Feedback inside the classroom has been found to have a strongconnection to student performance and learning.4 Additionally, the importance of office hourshas been identified and
Paper ID #7017Seven Years of Success in Implementation of a 3 + 1 Transfer Program in En-gineering Technology Between Universities in China and the Unites StatesProf. Scott I. Segalewitz, University of Dayton Scott Segalewitz, P.E. is a Professor in the Department of Engineering Technology at the University of Dayton (UD). He also serves as Director of Industrial and Technical Relations for the University of Dayton China Institute in Suzhou, China where he is responsible for establishing corporate training programs for US partner companies in the Suzhou Industrial Park, and for developing opportunities for UD students to
the design and implementation of afaculty development program. The objectives of this program were: (1) to promote facultyadoption of non-traditional instructional methods and materials that have been proven effectiveby classroom research studies and (2) to improve institutional support for teaching at each of theeight SUCCEED campuses. The study finds that the percentage of responders giving requiredteam assignments vary from a low of 35% at one institution to a high of 72%. Assistantprofessors are more likely to do so than associate or full professors. Female professors are morelikely than male professors to use in-class group activities and the internet in their teaching, andthe assistant professors and female professors are more likely to
within the engineering education community hasfocused on preparing engineers for the technological and global challenges of the future. Suchconversations often consider the skills that engineers will need and how we can best helpstudents develop such skills. For example, ABET shifted to skills-based assessment ofengineering programs 1. Additionally, the National Academies proposed a list of the desiredattributes of “The Engineer of 2020” followed by suggestions on how to educate the engineer of2020 2, 3. As engineering education researchers have developed assessment tools and techniquesto evaluate development of needed skills among students and ways that they are used byprofessionals 4, 5, few studies have been able to follow the same students
challenges that students encountered when they used freebody diagrams to interpret system equilibrium. This study also indicates the effectivenessof PPDs in externalizing students’ understanding of system equilibrium. This research isrelevant to engineering instructors and researchers who want to develop students’abilities to use cognitive strategies effectively. It may also interest engineering instructorswho are willing to apply new instructional methods and tools to facilitate students toovercome complex design challenges.TheoryEffective formative assessment process has repercussions on all aspects of students’learning [1], [2]. It can help students understand marking criteria and subject standards [3],produce significant learning gains, and
Impacts of Project-Based Learning in Science and EngineeringAbstractLong-term impact of formal project work for science and engineering alumni from WorcesterPolytechnic Institute was studied through an externally-conducted web-based survey. The surveyincluded 39 Likert scale questions targeting impacts grounded in 1) institutional undergraduatelearning outcomes and 2) areas of unanticipated impact that emerged from a pre-survey onlineideation exercise. The survey was distributed to over 10,000 randomly-selected graduates andhad a response rate of 25%. Results showed that project work had long-term positive impacts onalumni in terms of professional skills, world views, and personal lives. Mann-Whitney U testsrevealed
Numerous studies have examined identity in regards to engineering and engineeringeducation. These studies focus particularly on areas such as gender 1-3 ; recruitment, retention, andburnout4-6 ; and identity development in becoming an engineer.7-10 Various methods have beenemployed to study identity in these contexts, including surveys, “draw an engineer” tests,ethnography, and personal narratives. While each of these methodologies is important andsupplies its own contribution to the discussion of identity, they may not provide an in-depth,interpersonally developed understanding of the participant’s own subconscious and consciousperceptions of his or her reality (or thick description—e.g., Geertz11 ). In other words, thesemethods can supply a good
, which manyhave already done1-3,6. Specifically, we sought to explore the “active” portion of “activelearning.” In Prince’s words, “The core elements of active learning are student activity andengagement in the learning process,” (Reference 1, page 1, emphases added). The active recallof information has been shown to increase information retention, compared to that resulting frompassively reading the same material repeatedly6. It makes sense to break a long lecture intosmaller units, punctuated by activities, given the conventional wisdom that students have anattention span of roughly 10 to 15 minutes7, and that student self-reported interest is highest atthe beginning of a lecture and decreases throughout a lecture8. Might active learning
different RBIS, the percentage of required critical componentsimplemented in conjunction with the RBIS was examined. Use of all critical components foreach RBIS varied from 55-83%. Higher percentages (65-83%) were associated with RBIS thathad one required critical component, such as concept tests. For RBIS with higher numbers (3-5)of critical components (such as Problem Based Learning and Collaborative Learning), though thepercentage of users with complete fidelity (all critical components) was low (3-66%), thepercentage that did not include any components was also low (most with 0% of users having noor only 1 critical component used in the classroom). To highlight the relationships between usersand critical components, a Chi Square was completed
isdeveloped influences the identity development. Carlone and Johnson’s theoretical frameworkcan be applied to engineering identity development. In this case, we focus on the culturalcontext in which the identity develops, namely the MSI campus.Researchers have conducted studies on identity development of engineering students,specifically. They found that three factors influence the development of an engineering identity,(1) how engineering is understood as a science, (2) the rules that govern the behavior of anengineer, and (3) the environmental setting of the institution in which one learns to become anengineer28, 29. It is this latter factor that we have examined in this study. Taken together, theimportance of studying the development of an
incorporate math and scienceinterests and experiences.IntroductionIn view of the current situation of the STEM education pipeline, the President’s Council ofAdvisors in Science and Technology (PCAST) recently called for one million additional STEMgraduates over the next ten years.1 One way to address the need for more STEM graduates isthrough understanding what causes students to choose engineering and how to more effectivelyrecruit them upon entrance into college.A potential way to begin to address this need for a greater pool of new engineering students isthrough the interpretive framework of critical engineering agency. This perspectives is rooted incritical science agency theory which has been developed in qualitative research in scienceeducation
engineeringenterprise, and discussion on broadening participation has increasingly permeated STEMdiscourse and engineering education agendas for decades.1-3 Yet, even with pervasive college-based initiatives aimed at broadening participation, results remain stagnant; the national averagefor underrepresented minority BS engineering graduates is flat, hovering at ~10% for the last 15years4,5 while the national average for women engineering BS graduates peaked at ~21% in2002.5,6 Clearly, a need exists to identify models that bolster diversity; very likely, these modelswill be multifaceted and complex.Inclusive Excellence Research ProjectThe Inclusive Excellence Research Project is an NSF-funded investigation at the University ofColorado Boulder that takes a
sizes that most laboratories are limited to. One potential solution to enhancingstudent learning in the traditional classroom environment is to incorporate take-homeexperiments as part of individual classes as homework assignments or projects. Take-home experiments used as engineering course assignments are not a new idea, but theyare also not widely used. Some early work on take-home experiments included the work byBedard and Meyer 1 who developed two experiments investigating viscous properties of fluids.Scott 2 developed two fluid-statics experiments that were part of a laboratory class, but were Page 23.610.2assigned as take home
are required to have access to a laptop computer that they can bring to class withthem each day. Enrollment in the Ordinary Differential Equations class is comprised ofmathematics majors and students in our dual degree and transfer programs for engineering. Asignificant portion of the students are non-traditional and/or have substantial work obligationsthat they need to balance with their coursework. Roughly 55% of our student body is enrolledfull-time (Figure 1), and about 45% falls into the traditional college student age range (Figure2).6 Differential Equations is a 3 hour course with no recitations and no teaching assistants. Whileclass size is thankfully small, many students have to work before and after class time, making itdifficult
with the 2011 Sim´on Bolivar Award for Doctoral Thesis in Mathematics Education and with the National ANUIES Award for Doctoral Research related with Education at College in 2011. At present she is Member Level 1 of the National Researches System from CONACYT M´exico. She has been addressing several projects promoting the use of technology in the teaching of Calculus and the implications of such innovation on the learning of the fundamental ideas that this scientific discipline encourages. She has also been participating in the development of the Educational Model that Tecnol´ogico de Monterrey promotes through the design of the syllabi of the Mathematics Courses for Engineering and its distribution with the use of
Page 23.808.7students (24% or 10/41) also reported having participated in co-op and internship experiencesoutside of the YES program. Forty-three STEM faculty have participated as mentors for theResearchh Path studennts and eightt companies have providded industry mentors for theEntrepren neurship/Internship Pathh students. The T YES parrtnership moodel and studdent outcomeesare descrribed in Figu ure 1. In thiss section, thee impact on sstudent succcess is descriibed below fforeach of thhe outcomess listed in Fig gure 1. For persistence to graduatioon, we look aat three aspects:1) actual graduation rates, r 2) actu
devoted to the development of a selection rubric that would be fair to all applicants whileproviding camp organizers with a clear indication of those students with comparable skills,education, and interests. As a first step, the team responsible for developing the selectionprotocol studied the rubric of the E&C Department at Texas A&M that had significantexperience conducting successful summer camps. While not adopted in its entirety, this examplewas crucial to the development of the selection process.Each student desiring to attend Camp SOAR was required to submit an application packageconsisting of the following: 1) transcript, 2) teacher recommendation, 3) honors and activities, 4)essay 1, and 5) essay 2. Applicants were evaluated only
videotaped by a multimedia company and put online for a distance course forstudents at a remote university. There were many benefits to the participants involved, but alsosome significant challenges. This paper discusses this unique multi-organization partnershipincluding the lessons learned to improve future collaborations.IntroductionThere are many ways that industry and academia can collaborate to educate engineering students.Industry can provide individual instructors to teach existing courses as adjuncts or visitingprofessors.1 Industry can help provide new course content, for example for emergingtechnologies, which can be taught by academia.2 Adjunct instructors from industry cantemporarily replace faculty on sabbatical or on leave,3 help
modern engineering tools necessary for engineering practice.In general, student learning outcome c focuses on the ability of students to follow the logical andorderly design procedures that can be manifested in the following statements: 1. Problem or opportunity identification supported by factual evidence. 2. Creation of an executable design strategy including timetable, critical path, major tasks, subtasks and their interaction. 3. Creation of clear vision of expectation and deliverables with the available resources and constraints such as economic, environmental, social, policies and legal, ethical, health and safety, manufacturability, and sustainability 4. Testing and evaluation of the product and the
outside of the traditional instructional setting. Thus,we sought instructional media that would realize our anywhere/anyplace attitude toward meetingstudents' needs. In our efforts to reconceptualize the course, we aimed to: (1) capitalize onengineering and science points of view to help students utilize mathematics within theirdiscipline, and (2) use instructional technology to help the professor in achieving this goal.Mathematical modeling is theorized as a cycle that links mathematical thinking to science andengineering, and so supports the first goal. In this paper, we report on the means we used tomeet the second goal and on our evaluation of our success. Our contribution to the engineeringeducation community is (i) a description of how we
the semester; it might be preferable to distribute them at the same time as theSIRS forms or the last class period or during the final exam period. Please note below how manysurveys are needed for your classes.I need_______surveys to distribute to my class(es),______________________________________________________________________For each of the classes you are teaching this semester please respond to the following questions. #1 #2 #3Course Number ____ ____ _____Types of students in your class, please specify only those groups that account for a significantportion of the class population.Grad Student
development processesand suggestions, and proper testing strategies to ensure that physical models meet requirements.The authors recognize that while non-physical modelling is certainly important, designers musteventually move into the development and testing of physical prototypes[16].There have been interesting reviews of the effects of prototyping on designers during theprocess[20-34,40]. Franck and Rosen[20] showed that, from cognition view point, ‘low fidelity’prototypes encourage design teams in three distinct ways: (1) Failure is reframed as anopportunity for learning; (2) A sense of forward progress is fostered; and (3) Beliefs aboutcreative ability are strengthened. Linsey et al.[23] examine the impact of design fixation in virtualversus
partnerships can provide multiple types of measures andfeedback mechanisms to assess student learning outcomes in an engineering program. At GrandValley State University, a cooperative education program is the catalyst for developing andmaintaing industry partnerships that provide consistent and regular external constituent input onstudents‟ knowldege, skills and abilities related to ABET student learning outcomes[1].Constituent input regarding students‟ knowledge and preparation is provided in multiple andvaried ways through direct feedback mechanisms in the workplace.Input is obtained at various levels, ranging from student-specific to program-level feedback.Individual employers are engaged in student and curricular assessment at various levels
thisknowledge and adapt it to changing environments. Table 1 lists several qualities an effectivedesign engineer should possess. These characteristics will be used later as a metric to measurehow well students exhibit these qualities in a design environment. Table 1. Qualities of a design engineer4. The Engineer or Engineering Student should be able to … QUALITY 1. Communicate, negotiate and persuade 2. Work effectively in a team 3. Engage in self-evaluation and reflection 4. Utilize graphical and visual representations and thinking 5. Exercise creative and intuitive instincts 6. Find
ideas and solutions. One-way ANOVA was used to determine whether there are differences in frequency ofstudents innovative thinking and also their self-reported perceptions of level of innovativethinking based on the type of instructor facilitated use of slate enabled technology (e.g.,structured, unstructured, no use). Differences in innovative thinking skill frequency and level bytype of instructor-led use are reported in Table 1 and Table 2. In terms of specific innovative thinking skills, in the pre-survey students reported veryfew differences across groups (refer to Table1). During the initial start of the semester students’reported frequency of use of innovative thinking skills in the areas of Knowledge Acquisition,Scaling
concepts of this course are fundamental for many subsequent courses like MachineDesign, Modeling of Dynamic Systems, Fluid Mechanics, and many other courses. The widespectrum of applications of these concepts in real-life engineering and daily life problemsprovides a rich source of lifelong learning problems. The pool of topics consisted of elevenresearch and open-ended problems. As shown (Figures 1 and 2), these problems covered a wide Page 23.479.3range of subjects including sports, entertainment, space mechanics, and meteorology to name afew. Figure 2: Sample dynamics problem - II5
, Development,Production, Installation, and Servicing, requires a company’s product design and developmentprocess to include specific components.1 These include design and development planning, designinput, design output, design review, design verification and validation, and design transfer. Themore our students become familiar with each of these components, the better prepared they willbe for careers in industry. Ideally, capstone design projects would involve each of thesecomponents. In situations where this is not feasible, lectures regarding the details of each designcontrol component can be included in the capstone course.A recent survey of capstone design instructors indicates that the duration of capstone designcourses varies in length.2 As a
toencourage design work under the constraining pressures of time and stakeholder expectations.This paper first details the design of the RPDC activity, and then examines the administrationand logistics, assessment, student engagement and learning, and student response to this highlyaccelerated product design cycle. The examination of the activity pays specific attention to thechallenges posed by a high frequency of cognitive disruptions (3 different design tasks in 5weeks) compounded by the requirement of working in small teams.1. Design Context – IntroductionA core premise of Praxis is that the perspectives, terminology, and tools of “engineering design”are transdisciplinary. In keeping with this premise, this engineering education paper has
B.S. and M.S. degrees in Electrical Engineering and her Ph.D. in Engineering from the University of Arkansas. Dr. Gattis’ research areas include student recruitment, retention and diversity, as well as professional development of middle school teachers. This professional development enables teachers to more effectively teach math and science through development of engineering and math hands-on activities. As Associate Dean, Dr. Gattis man- ages an endowment that provides over $1-million in funding for undergraduates to engage in research and to study abroad.Dr. Micah Hale, University of Arkansas Dr. Hale is an Associate Professor at the University of Arkansas. His research interests include concrete materials