of some of these answers with helping them master these fundamental mathtopics, with the understanding that the instructor subsequently expects them to be able to solvesuch problems in the future.ExamsFor engineering courses, exams traditionally have been used to provide students with theopportunity to demonstrate their mastery of the course material. This section contains theauthor’s thoughts and observations regarding the effective use and administration of exams.The author strongly believes that exams must be used to fairly measure each student’s mastery ofthe material as presented in lecture and as practiced in the assignments. The author’s policy ofnot curving grades is reflected in the exams as well, in terms of exam format, content
active, experiential learning are not typicallypresent at either the university or community college setting. These collaborations also aim tocounteract a perceived misconception regarding the differences in education quality between theinstitutions by establishing shared community resources for which all students at both institutiontypes can benefit. The ultimate goal of these collaborations is to attract and retain a talented anddiverse set of students who are better prepared to tackle the engineering challenges of a globaleconomy within a sustainable, multidisciplinary context. The authors of this paper reflect facultythat were or currently are at a research I university, a community college, and a nationallaboratory.Research I university
and do not necessarily reflect the views of the National ScienceFoundation. The authors gratefully acknowledge the support of the faculty and students from theCollege of Engineering who participated in the project.References1. Eccles, J. S., Barber, B.L., Updegraff, K., & O’Brien, K.M. (1998). An expectancy-value model of achievement choices: The role of ability self-concepts, perceived task utility and interest in predicting activity choice and course enrollment. In L. Hoffmann, A. Krapp, K. A. Renninger, & J. Baumert (Eds.), Interest and learning: Proceedings of the Seeon Conference on Interest and Gender (pp. 267-279), Institute for Science Education at the University of Kiel: IPN.2. Finelli, C. J., & Daly
), stakeholder B. Planning Brainstorming C. Modeling Iteration/revision, D. Evaluation Optimization (tradeoffs, prioritization, efficiency), Negative feedback2. Adult-child A. DirectingInteractions B. Asking questions C. Prompting reflection-on-action D. Following lead E. Providing affirmation/encouragement F. Having conflict/disagreement G. Explanation
thedirection of HMHY and establishing formal objectives, a framework was developed toserve as a program theme: getting P.A.I.D. This included students (1) establishingPriorities, (2) holding each other Accountable, (3) taking Initiative, and (4) havingDiscipline regarding their academic choices. Page 23.656.4The first component of this framework is Priorities. Through this component, studentsdiscussed how they had been spending their time since the previous meeting. Thesediscussions provided each group participant an opportunity to reflect on what activitiesthey were prioritizing in his or her own life.The second component is Accountability. Through this
with both Resources for Student Tours of Manufacturing Facilities the number of tour events and total number of student participants per year. The sharp decline in the number of participants in 2007 and 2008, strongly reflected the very unstable fiscal environments that schools Find pre-‐tour lesson plans, post-‐tour
develop proper conceptual understanding. Ourengineering students seemed motivated by the experiments, and a great deal of good discussioncould be heard as we walked around the room. In future work, we hope to ascertain exactlywhen students seem to understand the concepts, and the exact components necessary to make aneffective inquiry-based learning activity for dynamics.Acknowledgements: Support for this work was funded by the National Science Foundation,NSF 1044282, Using Inquiry-Based Activities to Repair Student Misconceptions in EngineeringDynamics. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation
solving by connecting diagnosed problems with solution types42. Participatingin review encourages student reviewers to reflect upon their own skills while examining peerwork43-44.Some of the emerging technologies are also enabling new ways of peer review. For example,online videos changed the way we create, view and share videos online today. With smartphoneslike the iPhone, and phones running on Android and Windows operating systems, it is effortlessto create, share and evaluate videos using the basic features phones offer. Videos can be aneffective media to quickly generate content and provide feedback to peers.Overview of Teaching to Learn: The SystemAs part of our work, we intend to test the potential of technology-enhanced peer-learning
instructors from industry, who brought a truly multi-disciplinary character to these courses. Finally, we gave students numerous opportunities topractice their critical thinking skills by answering non-trivial questions, formulating decisions,and reflecting on their actions.Motivation for the sequence of technology commercialization coursesA recent survey of engineering students showed that 41% of them wanted to start their ownbusinesses, and 66% thought that entrepreneurship education would strengthen their careerprospects and improve their learning experiences8,9. Another survey showed that 50% of facultyand administrators believed that access to entrepreneurship programs would improve engineeringeducation10. These statistics show that many people
multidisciplinary teams during their senior capstone courses. The design module wasintroduced in the fall 2011 semester, and was repeated in fall 2012 and fall 2013. Anassessment, conducted with current and former participants in fall 2013, demonstrates theefficacy of the project.1. INTRODUCTION.The engineering education community has embraced the concept of multidisciplinary designover the past two decades 1-3. This movement reflects a renewed emphasis on design in theengineering curriculum, particularly at the freshman (cornerstone) and senior (capstone) levels 4.The benefit of training engineers to work in multidisciplinary teams is self-evident whenconsidering the integration of mechanical design, electronics, software, human factors andergonomics, and
) Page 24.124.6Assessment ResultsAs stated earlier, the assessment process of student learning outcomes is based on direct andindirect measurements. Table 3 shows the results of indirect measurements, or surveys, as meanaverages on a scale of 5 of the appropriateness of student learning outcomes as perceived byPAC members, EE faculty and EE students. (Note: twenty samples of students’ responses wereused as feedback). Survey results indicated that all outcomes met the target level (3.5), exceptthat outcome ‘i’ is slightly below (3.4) target, reflecting the faculty’s desire to enhance “students’ability to conduct research in the electrical engineering discipline as part of a life-long learning.” Table 3- Appropriateness of Student Outcomes
design cycle during their evaluation hasbeen difficult. A large percentage of students are able to reflect on the operation of their circuitsto determine if the design criteria within constraints have been achieved. However, few take thenext steps to investigate what caused deviations from expected performance and to identifywhere they should focus efforts to redesign the circuit to more closely match the designspecifications.Two approaches to stimulate students to complete the design cycle have been developed atVirginia Tech and used in junior-level courses. In one approach, students in an ac circuitslaboratory course are asked to directly compare the results of their analyses with the measuredresults by physically overlaying plots of the
. During the seminar, the internship coordinator can clarify, if needed, thecourse deliverables and administrative evaluative procedures that lead to the internship grades. Page 23.337.4The seminar also provides the students with an opportunity both to reflect on the value of thecourse work that had prepared them for the internship and to propose any modifications to thecourses to improve their preparation.Employer evaluation is a major part of the students’ experience and resulting grade5. For that, asite visit is normally scheduled towards the end of the experience. Each visit generally lastsabout an hour, during which the internship coordinator
help them to obtain a good Page 23.362.7basis for the computer science topics. Following the computerscience component, the political science lesson takes a philosophical approach to the course andchallenges the students to reflect on what the word cyberspace really means. The instructorprompts the students to create a list of cyber related words. Students are then tasked to pick oneof the words, research it using credible sources, and then present their results using MS Word.To complete the assignment, on Thursday, students are introduced to MS Word where they learnbasic MS Word tools as well as the different formatting capabilities of the
the learning style, people learn best if they follow a cycle consisting of four steps (axes):experiencing (concrete experience), watching (reflective observation), thinking/modeling(abstract conceptualization), and applying/doing (active experimentation). Thus, activeexperimentation is an essential part of the learning process. Kolb’s learning cycle has been usedin various engineering education programs such as civil2-4, mechanical4, chemical2, 3, 5,industrial6, aeronautical4, and manufacturing2, 3, 7 engineering.The success of robotics projects in engineering education has been well reported in literature.The advanced robotics system described in this work is based on the newest hardware andsoftware robotics and electronic entertainment
employed. At severalstages in the course groups of students spent class time working out detailed problems thattraditionally might have been presented as part of a lecture. For example, the students determinedthe appearance of a single-crystal electron diffraction pattern using an Ewald sphereconstruction. The instructor walks through the classroom as students work asking questions toencourage students’ critical reflection while also answering student questions. Twocomputational modules were also integrated into the course, in which students either usedsupplied software or developed software tools (using MATLAB) to model equilibrium structuresof materials.To facilitate the active learning approach, the course in fall 2012 was located in a
engineering projects, professionalism and reflection (metacognition). His research in the area of engineering education is focused on project-based learning, design and innovation, professionalism and self-directed learning.Mr. Ronald R Ulseth, Iron Range Engineering Ron Ulseth directs and instructs in the Iron Range Engineering program in Virginia, Minnesota and he teaches in the Itasca Community College engineering program in Grand Rapids, MN. He was instrumental in growing the Itasca program from ten students in 1992 to 160 students in 2010. In 2009, he worked with a national development team of engineering educators to develop the 100% PBL curriculum used in the Iron Range model. He has successfully acquired and
. Learning outcomes in each area reflect the overall goals of theproject and include: (1) at the component level, students will demonstrate their ability to (a)select appropriate sensors to monitor physical phenomena and (b) design analog and digitalsignal conditioning circuits to connect them to microcontroller/computers; (2) at the systemlevel, students will be able to identify and use current technology practiced in monitoring andcontrol systems; (3) at the network level, students will be able to (a) understand fundamentalconcepts of WSN, and (b) design and develop such a system; and (4) at the capstone/projectlevel, students will be able to demonstrate their capability to design, develop, implement, and testa networked data acquisition system to
render anaugmented view, similar to the helmets used in virtual reality. Using an HMD, the user viewsthe physical world through transparent glass capable of reflecting virtual information, oralternatively, using the two small displays in helmet that display a video stream of theenvironment. While providing an immersive experience, they are prohibitively expensive formany universities. An alternative to HMDs is to use smart mobile devices that serve as awindow through which to view the augmented world. By pointing the device at an area ofinterest, the video stream from the built-in camera can be sent to the display, providing the userwith a mediated view of the world. This view provides no depth information, but can still serveas a foundation for
carry high stakes for students since both are required for graduation. Thus,negative comments reflect a fundamental observation: for engineering, servant-leadershipprojects are more time-consuming than conventional course projects due to the need to serve anoutside stakeholder on a deadline. A best-practice, therefore, is build more time into courses forservant-leadership projects than is typically given for conventional projects.To further place negative aquaponics miniature project comments in context, it is helpful tocompare this project against design-and-build projects selected by instructors in previousofferings of this thermodynamics course. Examples include 1) calorimeters to identify mystery
applied probability itself, butalso for the nature of problems. They should understand structuring problems and posing problems.They should be informed that there is a spectrum of problems, ranging from well-structuredproblems with definite answers and clear boundaries, such as are found in traditional textbooks (andnowhere else), and open-ended, ill-structured problems, such as are found in the engineeringworkplace. The essential and unique point is that learners s must pose, clarify, and define problems,not simply solve them.And, at the same time, learners should practice metacognitive skills such as reflecting on how theyare building these schemes. Metacognitive activities are manifold and not easy to classify. Howeverthere is widespread
?”, electronic bulletin boards, and other web-based features were added later.Our results in reducing attrition in the physics courses has been striking. Figures 4 (a) and (b)show, respectively, the DWF rates for introductory mechanics (PHYS 152) and electricity andmagnetism (PHYS 251). In each case, The horizontal lines reflect the periods before and afterJiTT methods were adopted.We would like to stress that these results do not reflect reduced standards or instructor effects.Throughout the period shown, both courses have maintained a strict policy that studentsautomatically fail if they receive less than 50% total scores on the mid-term and final exams.These exams are reviewed by other department faculty, including those who had been teachingthe
course content is difficult and presents many situations where students may get lostor not understand, it may be necessary to teach them the steps to take, the questions toask, and the resources to use that can lead to understanding. This situation is common inmath, the sciences, and other numbers-based courses such as economics and statistics.Question #6 - Study Skills: What study skills do my students need to be successful in mycourse? Will they need to organize large amounts of information, summarize information,use rote memory techniques, or prepare for essay exams? Assisting students indeveloping study strategies which fit the type of testing (or other forms of assessment)used in the course and which reflect the amount and nature of the
in the excitement of VaNTH research. However, theprogram also reflects the recent emphasis in engineering education on the development ofundergraduates’ core competencies, i.e., those skills necessary for professional success Page 8.678.1regardless of field, e.g., problem analysis, team management, written and oral communication,“Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering Education” Session 2309etc.5 In
. Student teams are asked to create an individual Weighting Factor (WF) to reflect the workload pulled by each member of the team during the project performance. The 100 points distribution mentioned above is decided unanimously.d. Evaluation of the student participation in the study programme courses after deliberation and discussion with the course lecturer, attendance and from course exercises.A moderation panel made up of all people involved in other words supervisors and externalexaminers agrees the final overall mark.Final examination procedureThe final examination is held as a seminar with the following content:1. Oral presentation of written report
design process that leads to the solution is embedded in the model by Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition. Copyright 2003, American Society for Engineering Educationthe way the student chooses to construct their model. These construction decisions are revealedto the instructor through dynamic modeling activities. Second, these dynamic modelingactivities address the important issue of having instructional activities reflect authenticprofessional practice. In this case, dynamic modeling can come in the form of 'engineeringchange orders'.The worth of a model now is based not on a single geometric form, but how well it can beiterated through a number of
includes “hands-on” learning of the new theory.A third approach incorporates visual learning concepts. Even students who can easilycomprehend new material benefit from visual tools that affirm and increase the depth of theirunderstanding of concepts presented. A final approach uses guest speakers from industry whosecareer reflects the subject matter of the course. The speakers can provide information, giveadvice, and answer questions about career related topics; thereby, enriching students’ perspectiveson various career paths. The guest speaker often reinforces material that has been presented orchallenging assignments that have been assigned by the professor. Computer and Information Science courses which have been taught using
conductingexperiments, analyzing the data, and interpreting the results inherently require good spokencommunication. The new course was offered for the first time in Fall 2000, and then subsequentlyin Fall 2001 and 2002. Each time, the laboratory instruction on experiments and oralcommunication activities has been slightly modified to improve students’ learning opportunity andalso reflect content changes that were made in the companion lecture course. As seen from thecopy of the course syllabus that is attached in the appendix, 40% of the course grade was basedon the performance related to oral communication activities.II. Tools for Improving Oral CommunicationIn order to insure consistent implementation, the GER Committee developed general guidelinesfor
. Page 8.675.4 “Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright 2003, American Society for Engineering Education”Project assessment: During the final two weeks of the quarter, all students were asked toprovide feedback on their teaming and design experience. The questionnaire givenduring week 9 is provided as Addendum 4. Additionally, during week 10, they wereasked to provide a reflective essay in their lab books which responded to the followingtwo statements. 1) Identify three or more, items, things, or aspects about your project, your team, oryour design process that worked well and that you were happy with. Discuss why each ofthese items pleased you. 2) You
2000-01 offering 2001-02 offering 2002-03 offering Total % Retained Total % Retained Total % Retained Started EG 111 385 370 384 Finished EG 111 358 92.99 % 323 87.30 % 331 86.20% Started EG 112 296 76.88 % 273 73.78 % 270 70.31% Finished EG 112 278 72.21 % 267 72.16 %These data require some context for interpretation. The enrollment numbers at the start of EG111 and EG 112 each semester reflect the number of students enrolled after the last date at whichstudents may add classes. The