found in various classrooms across thecampus: (1) seating and room layout, (2) boards and projection and (3) computers and videocapture. In addition to the survey data, comments were solicited and compiled for continuousimprovement.A total of 75 students, faculty and staff responded to the survey. Within the three categories ofinstructional technology, three survey questions were asked to determine: (1) which technologieswere used, (2) which technologies did individuals enjoy and (3) which technologies didindividuals feel would enhance learning?There were several conclusions resulting from the data analysis including differences betweenfaculty and student preferences. The most interesting result was the compelling relationshipbetween enjoyment
engineering students enrolled in the sales engineering courses between the Fall 2010and Fall 2012 semester were surveyed both at the beginning and end of the semester (N = 33).An instrument was developed for this study to specifically assess demographics, beliefs, andtechnical sales skills taught in the course (Appendix I). Student beliefs were specifically utilizedbecause only the individual can truly express their own attitudes, emotions, and internal stateswithin a specific domain6. The beliefs portion of the survey included six items rated from low tohigh on a scale from 1 to 10. A pre-post analysis of item means was undertaken for these items.The sales skill items were designed around the sales minor and the course content providinginitial
competitive edge. As they do, theymust resolve unique demands on their information technology, their structure, their processes,and their culture. Most critical, however, is the challenge posed by analytical talent, the peopleat all levels who help turn data into better decisions and better business results.” [1]The above quote is from a publication by Accenture, a global consulting firm, about theimportance of recruiting analytic talent for businesses. In response to this need several collegeshave developed graduate programs in analytics, one of the first being North Carolina StateUniversity’s Institute of Advanced Analytics, which boasts job placement rate of 100% [2].Several other articles echo the need for trained data analysts in the information
calculation. The index is updated annually based on average wages, notthe cost of living. The most recent update was October 2012, which added 2011 wageinformation.19A person’s monthly benefit is based on their primary insurance amount (PIA). The PIA is themonthly benefit that a person would receive if they start benefits at their full retirement age(FRA). The computation of the PIA uses a formula which contains two “bend points” thatincrease with inflation. For 2012, the bend points were $767 and $4624. For 2013, the bendpoints are $791 and $4768.20 For 2013, the PIA calculation is as follows: If AIME < $791, PIA = (0.90)(AIME) If $791 < AIME < $4768, PIA = (0.90)(791) + (0.32)(AIME – 791) (1) If AIME >
LamarUniversity. It will give students more opportunity to learn and practice Engineering Economicswhenever they have spare time. The preliminary assessment results in Fall 2012 semester arepresented in this paper. Surveys and interviews are conducted with randomly selected students toget a better understanding of the impact of the mobile app. The authors are now in the process oftransforming the app into game-style. Further development and improvement with formativeassessment is planned in the next three years.* Acknowledgment: This project is partially supported by a grant from the National ScienceFoundation DUE-1140457 to Lamar University. 1. Introduction Engineering Economics is a core class in engineering and is often required in
protect the health, safety, and welfare of the public. This mission is supported through its member boards, board of directors, staff, board administrators, and volunteers by: • Providing outstanding nationally normed examinations for engineers and surveyors • Providing uniform model laws and model rules for adoption by the member boards • Promoting professional ethics among all engineers and surveyors • Coordinating with domestic and international organizations to advance licensure of all engineers and surveyors Figure 1. NCEES Vision and Mission [NCEES, 2012]II. The Process of Developing Professional TopicsThe NCEES process of re-evaluating
project we exploreengineering students’ willingness and interest in using electronic flashcards.For each class, the resulting flashcards were embedded in the class’s Blackboard page. Studentscould choose to review the cards in a variety of formats and from different devices. Figure 1 is ascreenshot of two electronic flashcards. The top card displays the term and its definition at thesame time (for initial study). The lower card is showing just one side, allowing the students totest themselves. After answering the question, the student can electronically “flip” to the see thecorrect answer. The card sets from each chapter can be combined and shuffled. The material canbe presented in a random matching exercise as well. The electronic flashcards
’ questions) andteaching tips and skills.Comparison with Approaches of Mentoring in Current ProgramsComparison of current teaching mentoring practices and our mentoring model is provided inTable 1. Many universities provide TA workshops for graduate students to learn basic teachingtechniques. This provides an opportunity for graduate students to learn how to teach and the TAworkshop help to cultivate their teaching philosophy. However, little hands-on opportunity isgiven to let graduate students practice what they learn from the workshop. Many preparing futurefaculty programs (PFF) share the same limitation. While PFF focuses on developing doctoralstudent’s teaching philosophy and prepare them for a teaching career in academia, few in
engineering while learning basic theory.IntroductionThe heart of engineering practice is design. Thus (ideally), engineering design should beomnipresent in the engineering curriculum, including basic theory courses. This paper discussesstrategies for incorporating a design presence in applied probability courses. The content of thesecourses is basic probability, reliability models, Markov chains, the Poisson process, and queuingmodels. In a previous paper1, it was proposed that engineering design activity be incorporatedthrough 1. homework and test problems that emphasize parametric analysis, variations of standard models, and comparison of alternative systems; 2. loosely stated open-ended problems intended to allow creative response
notes provided, identical homework assignments, consistentweekly topical schedule, textbook, and online quizzes using a lockdown browser (Respondus).The primary difference was that the face to face section had a live lecture and the online sectionhad specifically made videos produced with Camtasia screen capture software.In general, most weeks covered one chapter in the text. The general sequence of activitiesinvolved: Coverage of course topics either by lecture or by video using consistent power point slides. Figure 1 provides a screen capture of a typical video. For the online section, Centra chat / white board sessions were held on Tuesday and Wednesday. An example screen capture is shown in Figure 2. These sessions
ofvariance, indicates that the factors that contribute more heavily toward changes in the students’intercultural sensitivity are (1) the experience of going through the REU summer program and(2) whether the student went to school at UPRM or not. Both of these factors also have astatistically significant two-way interaction with the different ICSS constructs. Non-parametricpaired analyses were used to test whether the experience had a positive effect in the participant’sintercultural scale. At a 0.05 significant level, every REU summer program was able to trigger astatistically significant improvement in the interaction confidence and interaction enjoymentconstructs of the ICSS. Overall, the REU program also had a statistically significant (𝛼 = 0.05
that has been paid to time "t". The symbols used for theseitems are expressed in Table 1. The traditional approach for calculating the various expressions starts with the calculationof the unpaid balance of the loan. However, there are two different approaches, one utilizing apresent worth approach and the other using a future worth approach. Both methods will beconsidered, starting with the present worth approach. Page 23.981.2Table 1. Nomenclature Used in Formulas PresentedSymbol Description of SymbolLV Total initial amount of the loanA Annual end-of-period loan paymentn Number of periods for loan
the topics that can be potentially covered using PBL in IE, focusingon the two specific IE courses named above. In that section, we also present some examples ofdiscussions that the instructor can have in the classroom in order to extract the greatest advantageof the PBL style. Finally, we conclude with a summary of our discussion and enumerate sometopics that are perhaps best taught via a deductive mechanism.Advantages of PBLA few studies that show PBL to be beneficial are: Pierrakos et al.11, Mergendoller et al.8, Dochyet al.1, Patel et al.10, and Vernon and Blake12. Some studies, however, point in the oppositedirection, e.g., Kirschner et al.6, but these have been far outnumbered by those that show positiveoutcomes with PBL. Some of the
“pull” method of education where the project dictatesthe topics learned. The project described in this paper is large enough to encompass the entirequarter and complex enough to cover the majority of topics usually covered in this graduate leveladvanced engineering economy course.In the past this course was taught with an advanced text (Canada, et al, 2005) and topics werepresented sequentially. The redesign incorporates the interrelatedness of the topics into a project.The students work the entire quarter to build an excel based model to predict the stock price of afirm. The integration of topics is illustrated in Figure 1. The topics are contained in the ovals andthe activities performed by the students are contained in the arrows. This
constructed with varying amounts of variability in the height,width and depth dimensions facilitating different outcomes. Assessment of student performanceand perceptions (behavior and attitudes) from a small-scale (initial) pilot study will be measured,evaluated and discussed.IntroductionMontgomery states that “determining the capability of the measurement system is an importantaspect of many quality and process improvement activities.”1 Quality is integral component ofmost organizations and is a primary method in which organizations compete.2 The Society ofManufacturing Engineering (SME) has repeatedly identified quality as an important competencygap in the field of manufacturing.3,4This paper presents a method to address the quality competency gap
instructors provide a fifteen week semester schedule readily downloadable thatdescribes the weekly course requirements along with deadline dates. Since 2004, we have run asuccessful graduate level degree program entirely online thus we were able to take lessonslearned from that experience and parlay that into undergraduate classes taking a midwayapproach with hybrid solutions rather than jumping immediately to fully online solutions. Wehave seen a measurable effect of students preferring hybrid classes over traditional and onlineclasses. Figure 1 demonstrates the results of a longitudinal quasi-experiment of enrollment dataover the past 7 semesters representing a total of 3,707 enrollments in IET undergraduate classes.The chart shows a marked
of suchimportance, that engineering programs seeking accreditation must be able to prove that ethics istaught.1 Page 23.1251.2This responsibility to society becomes more pronounced as our nation looks to engineering toaddress areas of renewable energy, sustainability, clean water, and even urban infrastructure.2However, the students within our program are not required to take a specific engineering ethicscourse. This places our students at a disadvantage if they are not able to consider the ethicalquestions that emerge from protecting the existing environment and resources, from increasingthe efficiency of existing processes, and from
Improving Stochastic AwarenessAbstractIt is possible for a student to pass a course on stochastic analysis without actually understandingthat W = 1/(μ - λ) is not the same sort of equation as F = ma. That is a student might grosslyunderestimate the role of variability in stochastic systems. Failure to grasp this concept early cancause a student to mischaracterize much of the presented information. This is especially an issuein distance courses because students do not interact as much as in residence courses. This paperdescribes a collection of exercises intended to determine the level of students’ understanding ofstochastic behavior and build their stochastic awareness early in a course so that they will betterunderstand the role of randomness and
of Engineering, she develops projects, plans and implements strategies and develops and documents reports, newsletters and proposals. Page 23.1262.1 c American Society for Engineering Education, 2013 Training Industrial Engineering Students as Energy EngineersIntroductionBuildings consume approximately 40% 1 of all energy in the United States. Most buildingsoperate far less efficiently than their potential. In the U.S., industry alone accounts for about 31%of all energy used 8. There are many benefits to making commercial and industrialmanufacturing plants more efficient. One is to
1 2 3 Notes Professionalism Detrimental to the Somewhat Mostly on topic Attentive and on Training Session distracting or off Topic topic Knowledge Shows little or no Limited knowledge Knowledgeable Shows complete knowledge of of topic knowledge topic Clarity Cannot be Discussion Few questions Easily understood understood required to required to