commented on how they felt misinformed on what courses transferred, that thecurriculum transfer Web site at UNL didn’t appear to reflect current courses, and whetherspecific courses would transfer was not clearly stated. The STEP students indicated thataddressing this issue would improve the program. Other suggestions for improvement weresetting up a scholarship for STEP participants and also providing assistance for STEP students toline up an internship.Program Challenges Recruitment The CCs have an unresolved challenge in that it is difficult to recruit students to enter theSTEP project. It should not be surprising that the CCs have a different challenge than UNL-COE, although it manifests itself a bit differently. Neither UNL-STEP
ExCEEd 12 and becauseof their belief it was widely appreciated across the discipline. Felder’s original Learning StyleTheory considers two styles across five dimensions 13-17: Table 1. Felder’s Learning Styles Theory Dimension Learning Style Perception Sensory Intuitive Input Visual Verbal Organization Inductive Deductive Processing Active Reflective Understanding Sequential GlobalIn the analysis of the assessment and analysis of current efforts, the learning
. Understanding the pros and cons of the lecture method is a helpfulstarting point.Lectures have a number of characteristics that does make them, for the right subject matter,desirable in the classroom (14) .It does, to a great extent, depend on the abilities and experience ofthe lecturer. An able and committed lecturer can accomplish the following: 1. Relate the material proficiently and effectively, in a manner that reflects lecturer’s personal conviction and grasp of the subject matter; 2. Provide students with a thoughtful, scholarly role model to emulate; 3. Supplement the subject matter with current developments not yet published, or interject lecturer’s own views derived from his/her own experience whenever applicable; 4
. Figure 1. A learning activity to emphasize the core competencies of creativity. For further information see Reference 7.The second day was dedicated to exploring innovative progress and visiting innovative sites asthe students toured the Henry Ford Museum, Greenfield Village, and the Ford Rouge Factorywhere F-150 trucks are assembled. While each of the three sites requires a full day or more toexplore, the students used self-guided itineraries focused on innovation and developed by TheHenry Ford to allow efficient exploration in the single day format. The itineraries guide studentsto key attractions and include questions and reflections. The Henry Ford Museum includes areasfocused on “Made in America – Manufacturing and
, because of this mission, they face some distinctive challenges and any definition ought to reflect this”. “For social entrepreneurs, the social mission is explicit and central. This obviously affects how social entrepreneurs perceive and assess opportunities. Mission-related impact becomes the central criterion, not wealth creation. Wealth is just a means to an end for social entrepreneurs.” … “It is inherently difficult to measure social value creation. How much social value is created by reducing pollution in a given stream, by saving the spotted owl, or by providing companionship to the elderly? The calculations are not only hard but also contentious. Even when improvements can be measured
encapsulates thecommunication network component, which reflects the idea that securability is needed but alsothat in modern day enterprise network systems, it already exists in several forms, but mostnotably in the form of firewall systems. In order to capitalize on the ubiquitous Web, the humanasset SCI uses Web based protocols. Using Web based protocols such as the Hyper-Text Page 25.472.11Transport Protocol (HTTP) between human assets and the centralized interface will minimizeCBDM deployment costs as it removes the need to develop specialized interface software forsystem utilization. However, the manufacturing process asset SCI can be more
through the design sequence. Students learn to work and communicate in both small (2-4), medium (5-7), and large (10+) engineering teams, as an effective member of these design teams, and to work on the process as a team as well as learn to develop and execute a design plan. Individually, students should begin to understand their strengths and weaknesses, be able to reflect on the process and grow. Communication is emphasized and practiced throughout the design sequence through regular submission of memos and technical reports, and frequent technical presentations. Students learn how to compose a proposal, memo, report, technical paper, and technical presentation as well as how to project their professional image through a resume
. This has two effects. First, if you participate poorly, your team’s overalldesign effort will be of lower quality and the team’s overall grade will be lower. Second, yourteammates will be painfully aware of your level of participation and this will be reflected in thepeer evaluations at mid-semester and at the end of the semester.Homework Policy: This is a projects course and the “homework” will be project reports,briefings, analyses, trade studies, etc., as are appropriate for each specific project. Reports andprojects are listed below under Deliverables.Peer Evaluation: You will be required to evaluate each member of your design team (includingyourself) twice during the semester. The evaluation form will be similar to that attached to
degree is course based. Whilepartnerships and articulation agreements exist to assist with this transfer process, the pathwaystend to be institutionally course focused. The arrangement of courses is appropriate whenstudents stay at one institution for the entire baccalaureate program. Changes in the field can bereadily reflected in adjustments to the curriculum while the student is studying at the university.Unfortunately, this is not the case when the student transfers among institutions. To amelioratethese issues, the traditional articulated foundation curriculum tends to be overloaded with anabundance of challenging courses in the later semesters.The tuning process is based on a body of knowledge and skills to be acquired across the four
rate varied by institution. Most institutions have dedicated a significant amount ofresources to recruiting and retaining their female students and students from underrepresentedgroups.Seymour and Hewitt identified several reasons why students leave science, math, andengineering majors.5 Reasons related to competence, confidence, persistence, assertiveness,interest in the discipline, interest in the career, and a support system. As summarized byMatusovich, Steveler, and Miller,6 “…choices to leave SME fields tend to reflect the reasonsthey originally chose SME fields. Persisters were more likely to have chosen engineering based Page 25.1442.3on
, (c) StaticEquivalence, (d) Roller joint, (e) Pin-in-slot joint, (f) Loads at surfaces with negligible friction,(g) Representing loads at connections, (h) Limits on friction force, and (i) Equilibrium. Also,each problem had been carefully designed to identify conceptual errors or misconceptions,without the need for mathematical computation.6 Additionally, the developer of CATS, Dr.Steif, has identified a set of distinct errors that reflect known misconceptions exhibited bystudents based on his experience and occurrence in student documentation.9 Table 3 presents alist of these errors and their descriptions. Page 25.1457.4Table 3
, and engineering needs should be both representative of the peopleand their diversity. Charles and Bradley’s findings and their analytical framework offer anunexplored in the US engineering education literature approach to scoping the persistent problemof recruiting women into undergraduate engineering programs and into the profession in general.Just as in engineering design, if the problem isn’t scoped accurately, the solution will not berobust. It’s time for our solution to target the core issue(s).The Case in JordanAccording to the Jordan Engineers Association (JEA), female engineers represented 18.6% of allthe registered engineers in JEA between 1948 and early 2011. 4 This reflects 15,680 femaleengineers registered currently in six
indicated a greater preference to select astudent without previous research experience. This is disappointing since NSF states that a goalof the REU program is to expose students to a research experience. Despite the variability in thefaculty preference for under-represented students, the average score for this criterion made it the3rd highest rated item. This is important since increasing diversity is a stated goal of the NSFREU program. The variability in the GPA criteria may reflect our historical success for anyonewith a GPA above 3.0, and little correlation between student success on the research project andGPA.The faculty survey on the increased abilities in the undergraduate students due to the summerresearch experience was administered in
curriculum modules.II. Why Sensors?Sensors now play an important role in environmental research. The education of the 21st centuryenvironmental technology workforce therefore demands an understanding of sensor technology, Page 25.1194.2as well as the ability to resolve complex environmental issues and to communicate findings to abroad audience. Developing and maintaining such a workforce calls for innovative educationalprograms that prepare future sensor technology professionals at a variety of levels and in avariety of environmental fields1. This type of multidisciplinary, technology-based approach isnot sufficiently reflected in our current
will not be quickly forgotten and laid aside. Yes, Working Model is capable ofcontributing to great engineering. The author has chosen to introduce it through a smiling backgate of the playground where discovery learning, disguised as play, is actively encouraged.On Creativity In reflecting upon a Final Project design (singer.kettering.edu/current-design-project-102.htm) one freshman engineering student had this to say: “This also lets us use our own creativity to design something that we think will do goodin society, this is why some of us chose to actually be engineers. Many times people drop amajor, or a certain career that they want to do, is because the subject matter that they cover inclasses discourages them from going on
courseassignments, surveys, exit interviews, faculty reflection, etc. Many assessments have numericalresults that are related to green, yellow, and red flags. Green flags indicate that expectations arebeing met, while yellow flags indicate that correction may be needed. Red flags indicate that animmediate corrective action is needed. Other assessments are qualitative in nature. For example,the faculty meets at the end of each semester to discuss courses just completed. The resultingreflection can lead to improvement in individual courses or in a series of related courses.In this paper, we describe our curriculum (and its development) and our ABET assessmentsystem
own exponential drag rise expression to solve the problem. 101. All but 1 out of 39 turned in a Design Report. One was so late that the final grades had alreadybeen assigned, but his grade was changed to reflect his persistence.2. More than half met all the specifications, and most met the one about lettering size on graphs.By comparison, we spend more time convincing graduate students of the need for large lettering.3. The drawings were still widely non-uniform in technical quality, ranging from full AutoCADdrawings to color freehand sketches, but they were also dazzlingly original.4. Many designers had names and interesting sales-pitches for their “companies” and aircraft.5. The Design
engineering problems to be solved in industryare problems of resource management and allocation, timing constraints, and limitations inmemory and power for embedded systems, we want to bring new modules to our operatingsystems course to reflect these situations.We are beginning to integrate issues in embedded computing systems into the operatingsystems course by focusing on real-time systems. Since scheduling is the key for the design ofreal-time embedded systems, our undergraduate computer science and engineering studentsare being instructed in the mature results from research of real-time scheduling, includingalgorithms such as rate monotonic, earliest deadline first, and least-laxity first. In particular,they are being taught the concepts of
which employers might be able to providesupport in obtaining data.2.2 Planning and scheduling activities for implementation of the assessment programA schedule which reflects the planning and progress of the implementation plan provides a good foundation fordiscussions within the Assessment Coordination Committee and the COE. A formal schedule also represents anassessment tool for the implementation project. The COE schedule is used to set the agenda for the approximatelybiweekly meetings of the Assessment Coordination Committee and is reviewed at each meeting. The schedule forcontinuing assessment is a product of the implementation project and the current version will be presented in theABET evaluation report. There is an overlap between the
analyses at subsequent time points. For instance, if X students drop out orgraduate by the end of a semester, they will be removed from subsequent analyses, ensuring thatthe remaining students constitute the entire study cohort for subsequent persistence analyses.The study will acknowledge the dynamic nature of student enrollment, and robust measures willbe employed to handle attrition. The removal of students who exit the program will ensure thatanalyses reflect the evolving composition of the sample, contributing to the accuracy andrelevance of the findings.ConclusionIn conclusion, this study undertakes comprehensive exploration of the factors influencingengineering student persistence, with a particular focus on the impact of Calculus I. By
avariety of digital tools. Their choices reflect their degree of awareness and understanding ofavailable tools, showcasing whether they are acquainted with a diverse range of technologiesrelevant to the construction industry. On the other hand, assessing students' comfort levels inusing a specific digital tool provides insights into their confidence and self-perceivedcompetence. This subjective measure complements the objective evaluation of their toolselection, offering a holistic view of their digital skill awareness, confidence, and readiness toapply their knowledge.These scenarios were crafted to assess participants' knowledge of digital technologies and theirreadiness to apply them in practical construction scenarios. By presenting authentic
given discipline would have both UI and CD components, but their relative emphasis may varygreatly from one discipline to the next. In all cases, the training of students should becommensurate with the prospects of their career plans and expectations of their potentialemployers. Thus, for instance, within UI-dominated disciplines, there should be a greateremphasis on providing resources for establishing industrial connections.Lastly, the findings highlight the importance of refining academic course plans and institutionalsupport for effective doctoral training. The emphasis on incorporating problem-solving, dataanalytics, and writing skills into coursework reflects a commitment to aligning academic trainingwith the broader skills needed for
," International Journal on Interactive Design and Manufacturing (IJIDeM), vol. 3, pp. 147-156, 2009.12. D. A. Schön, "Designing as reflective conversation with the materials of a design situation," Knowledge-based systems, vol. 5, pp. 3-14, 1992.13. J. Jang and C. D. Schunn, "Physical design tools support and hinder innovative engineering design," Journal of Mechanical Design, vol. 134, p. 041001, 2012.14. R. I. Campbell, D. J. D. Beer, L. J. Barnard, G. J. Booysen, M. Truscott, R. Cain, et al., "Design evolution through customer interaction with functional prototypes," Journal of Engineering Design, vol. 18, pp. 617-635, 2008.15. Y.-K. Lim, E. Stolterman, and J. Tenenberg, "The anatomy of prototypes: Prototypes as filters, prototypes