passing rates for some student work, thus fostering greater leaps inimprovement of learning in those outcomes. Team review of student work also facilitates greaterlevels of cooperation and more frequent deliberate communication between faculty members andindustry colleagues, ultimately enhancing student learning through the sharing of ideas betweenthese two groups.Findings are reported as: (1) a comparison of passing rate statistics before and after inclusion of industry raters, (2) reflections on the process by both industry and faculty raters, and (3) reflections on the process by the administrators of the rating.We recommend that other institutes consider use of industry raters for student outcomes becauseof the enhanced continuous improvement
analytical courses.Given such critical importance, it is crucial for IE students to: 1. Develop understanding of the concepts of decision variables, constraints, and measures of performance. 2. Develop skills in creating abstract mathematical programming models (LP, ILP, NLP) from real world problems. 3. Develop operational skills in carrying out procedural steps necessary for algorithms (the HOW skill). 4. Develop in-depth knowledge of the logic behind algorithms and their concepts, and learn to extend them to new horizons (the WHY and WHAT-IF skills).Looking at the above list of capabilities, it is clear that the majority of those skills to bedeveloped rely on understanding the underlining concepts and being able to
is a vital part of the answer itself,confidence in one’s answer is not typically emphasized during schooling. Nevertheless, it is vitalwhen students enter the work force. The confidence-based grading method described in thispaper gives students practice assessing the confidence in their answer and also serves as a metric Page 25.232.2the instructor can use to evaluate how well the students think they know the material.The method is based on grading the student’s answers Table 1: Points awarded for eachaccording to both correctness of the answer as well as the combination of correctness andstudent’s selection of “confident” or “not
driven by increasing undergraduate enrollments, decreasing numberof faculty due to budget constraints, and increasing focus on achieving or improving the “tier-1”research status of the University. The quality of the teaching performed by adjuncts varies justlike that for full-time faculty. There is often the perception that adjuncts are more eager toplease students, and one easy way to please students is to issue high grades. This is easy tounderstand since end-of-semester student surveys are often the sole mechanism by whichadjuncts are evaluated. If their evaluation scores are perceived as being low, they may not beinvited back to teach next semester
applied science (AAS) degree or a pre-engineering associate of science (AS) degree.Many students choose the AAS degree program because it is a clear pathway to a marketabledegree, and the pathway to a baccalaureate engineering degree is too confusing, uncertain, andlong. Those community college students who do want a 4-year engineering degree generallyfollow one of two pathways. These pathways are: 1. Through an approved articulation agreement between the 2-year and 4-year institutions; or 2. By taking courses, which may or may not be the best selection of courses for the student’s proposed major, that are later transferred to the 4-year institution.This method of “course” migration has several disadvantages for the
process of students, such as design topic, problem discovery, and data analysis.Wang (2004) indicated that architecture design education in Taiwan can be divided into fourmain orientations, as follows: 1. Functionality-orientated: the study topic focuses more on therationality, legality and validity of deign; 2. Programmability-orientated: focuses on urbandesign, renovation, and landscape architecture; 3. Sociality-orientated: emphasizes thesatisfaction of user requirements to promote public charity; and 4. Creativity-orientated:focuses on innovation and change seeking, and develops design operation technique and the Page 25.235.4possibility of
HSIs in preparing atechnically-talented STEM workforce.IntroductionThe powering of today’s New Economy requires individuals to posses the 21st Centuryknowledge, skills and competencies that are needed to fully participate in the STEM Enterprise.At the core of this New Economy is technology, an artifact that must increasingly be leveragedto maximize earning potential and learning experiences. According to the U.S. Department ofCommerce (Langdon, McKittrick, Beede, Knah, & Doms, 2011)1, in 2010, 7.6 million people or1 in 18 workers held STEM jobs. Over the past 10 years, STEM jobs grew three times fasterthen non-STEM jobs. Between 2008 and 2018, STEM jobs are projected to grow by 17 percentcompared to 9.8 percent growth for non-STEM jobs
does exist between the two instruments assessmentscores indicating that further research is needed for subgroup analysis. This led theresearchers to start exploring with subgroups an begin with one population that has little tono research about it at the post secondary level, at-risk populations and the potentialdifferentiation this population could have between the two assessment instruments beingused for both this study, and previous ones3.Research QuestionsThere were two research questions with a total of two subsequent investigational hypothesesproposed and researched in this study: 1) Are there identifiable differences or associations between introductory engineering graphics at-risk and not at-risk students’ mental rotation
can work and live competently outsidetheir own culture. The phrase global competence has been adopted in engineering andtechnology fields, while intercultural competence, cultural competence, multiculturism, culturalintelligence and even global citizenship are used elsewhere [1]. Regardless of its label, the ideathat universities have a responsibility to promote understanding of other cultures has becomesomething of a buzzword in higher education. Lutz noted that ―more and more institutions ofhigher learning adopt global awareness as part of their strategic plans and QEP‖ [2]. It is in fact astrategic plan at the university in question that first brought the notion of global competence tobear on the Technical Writing course discussed
to control both the base and the arm. A Matlab/Simulink module has been created for this purpose. Students are able to design hybrid controllers to stabilize the attitude of the setup in order to maximize energy extraction. In this paper we present results on extraction of solar energy using solar tracking algorithms. The setup and algorithms have been tested in a hybrid control class offered to graduate students in aerospace and mechanical engineering.1 IntroductionAs renewable energy becomes more widely available, a need for autonomous and standalone sys-tems for energy extraction in remote locations will increase. However, the margins for energycollection are still low; the most efficient solar cells only
Integrity, Ethical Behavior, and Professional Competence o Understand and Applies Good Personal JudgmentAt the ASEE Annual Conference in 2010, SIG stakeholders attempted to translate the attributesinto specific competencies that could be identified by levels of importance and proficiency atcertain intervals of an individual’s education and professional development. The initial listtotaled 48; however, through in-person meetings at the Conference, and through bi-weeklytelephone conference calls and other electronic communication, the list was ultimatelysynthesized and consolidated. After further review and validation from CMC members, a totalof 20 competencies associated with the attributes of a global engineer emerged. These are:1
implemented on the equipment2. The term automated as used here means that the course canbe implemented without any need for a human instructor3. This approach offers clear advantagesover traditional classroom lectures, field training, or training manuals:1- Learners can learn at the time they choose. The student can enter the virtual training environment at any time from a networked computer and choose to receive instruction in any topic of his/her choosing for as long as he/she wishes. In classroom-based training on the other hand, an entire group of students needs to convene at a specific time for a specific time to be instructed in a specific topic.2- Learners can learn at their own optimum pace. The student can adjust the speed at
problems of randomly selected topologies and element values that aresuitable for use in courses on elementary linear circuit analysis. The circuit generationalgorithms are discussed in detail, including the criteria that define an “acceptable” circuit of thetype typically used for this purpose. The operation of the working prototype is illustrated,showing automated problem generation, node and mesh analysis, and combination of series andparallel elements. Various graphical features are available to support student understanding, andan interactive exercise in identifying series and parallel elements is provided. When fullydeveloped this engine will be incorporated into a tutorial system designed to supplementconventional instructional approaches.1
largerstroke groups based on the distance and elapsed time between the strokes. Then, in the last stageof our classification algorithm, we correct intra-grouping classification errors. Page 25.243.2Figure 1: A typical handwritten statics solution comprising equations (green strokes), free bodydiagrams (cyan strokes), and cross-outs (black strokes).A number of techniques have been developed to classify strokes. Peterson et al.3, Patel et al. 4,and Bhat et al. 5 each use a feature-based technique to classify pen strokes. They all characterizeeach pen stroke using several features. Patel et al. used a set of features describing the temporaland spatial
have great potential to quickly identify concepts and topics students do notunderstand. Unfortunately, there are a limited number of concept inventories available and asingle inventory may not be targeted for a particular intervention. This paper demonstrates theuse of two concept inventories in combination to quickly identify concepts that Mechanix, asoftware tool for free body diagrams and truss analysis developed by the authors, needs toprovide better tutoring for. Figure 1 shows a screen shot of a student using Mechanix. Figure 1: Screen shot of Mechanix and picture of a student using Mechanix with a tablet.BackgroundMechanixWhile many professors are aware of the importance of open-ended and creative problems fortheir ability to
quality if it can help the author identify mistakes in hiswork and also learn possible ways of fixing them. Reviewers often tend to provide vague,unjustified comments, which are not relevant to the author’s submission. The first two reviews inTable 1 are generic and do not refer to a specific object in the author’s submission. The first twocomments, which praise the author’s work with adjectives such as “good” and “correct”, whentaken independently, do not contain any information that could help authors improve their work.Reviews aid in the decision making process, whether it is a student’s grade or the decision toaccept or reject a scientific paper. It is therefore important to ensure that the reviews are of agood quality, i.e., they provide
verge of slip, a concept that experts often included in theirself-explanations.In our experiments, this technique has proven to be quite reliable, achieving an accuracy ofup to 97% on a particular explanation. This level of accuracy can be attributed to theregular nature of the student’s self-explanation. Furthermore this high-level of accuracysuggests that it may be feasible to develop automated systems to elicit meaningfulself-explanations from students.Related WorkChi et al.1 argue that “the metacognitive component of training is important in that itallows students to understand and take control of their learning process.” Metacognition isthe ability to be aware of one’s own learning process and it serves as a major foundationfor research
developing complicated pneumatic circuits and PLCprograms. In addition, three examples of industrial automation projects using PLC fromthe Technology Application Center (TAC) are also introduced to students to enhancetheir knowledge of automation controls. Performance assessment is conducted for thisdevelopment.1. IntroductionTo a large extent, hands-on skills are what separate the programs of engineeringtechnology from engineering1. Various hands-on labs and projects have been developedfor engineering technology students to maximize their learning capabilities2,3,4,5. As PLCtechnology has been robustly applied in the industry, both engineering and engineeringtechnology programs have included this subject into their curricula6,7,8. While the use
AC 2012-3262: AUTOMATION OF A BIODIESEL PROCESSOR FROMWASTE VEGETABLE OIL USING PROGRAMMABLE LOGIC CONTROLLERDr. Ahmed H. ElSawy, Tennessee Technological University Dr. Ahmed ElSawy joined Tennessee Technological University (TTU) as a professor and Chairperson, Department of Manufacturing and Industrial Technology, in July 1, 1999. He holds B.Sc., M.Sc., and Ph.D. degrees in mechanical engineering with an emphasis on materials processing and manufacturing engineering. Prior joining TTU, ElSawy held several industrial and academic positions in the USA and abroad. ElSawy teaching and research interests are in the areas of material processing, metallurgy, and manufacturing systems. ElSawy received approx. $2 million of
. CA ResearchCommunity Colleges across the country, including those in California, are devoted to increasingstudent retention, success, persistence, and completion of a certificate, degree or transfer to asenior university. This can be accomplished, according to recent research, by having students tochoose their major(s) early, rather than accumulating credits that do not apply directly to theirmajor. The results of a research by Moore and Shulock6 point to three recommendations: 1. Entering a program of study is a critical milestone on the path to completing a college certificate or degree; 2. Choosing a major early, the more likely they are to complete a certificate, degree or transfer; and 3
chosen from 375 applicants to mirror theincoming first year class to represent all majors within the college (as well as those who werestill undecided) and included a diverse representation of ethnicity, gender, as well as in-state/outof state and urban/rural home locations. Students entered with a range of previous designexperience from none to significant. .Table 1: Design Immersion Participant Demographics Percentage Representation in Percentage Representation inDemographic Group Design Immersion Program Incoming Freshman ClassMale 70 77Female 30
-class training offer these reasons: 1. Students do not always take advantage of the career center for a variety of reasons. Maybe they have a heavy schedule and are pressed for time. Maybe they think they do not need the training. These doubting students often do not realize what they lack. Only after in-class training do they discover what they did not know and needed to learn. 2. Particularly in large schools, sometimes career centers cannot offer intensive training to everyone. For example, some years ago, a career center director spoke to my class and encouraged students to take advantage of the center’s mock interview training. Thinking I was being helpful, I offered extra credit for this activity. About
projectwork with 20-22 companies involving 65 students and 16 staff/faculty members working on the Page 25.252.3projects. The program impacts local economic development through the Terre Haute InnovationAlliance. Over 2,500 internship positions have been offered to 825 students working on a rangeof design, prototyping, and testing projects for over 132 client companies.Virtually all of the projects in the program are “innovation stage” projects (as opposed toresearch focus) as depicted in Figure 1. The work of Schoen5 also suggests two cycles; one forinvention and one for innovation, Figure 2. The projects often begin with a rough concept
organizations (n=512). The second survey (AppendixB) was given at the end of the course, with similar questions to reveal whether there had beenany shift in attitude (n=436). Here are selected results and discussion:Table 1. Familiarity with the following human services areas, 1=not familiar Æ 5=very familiar Human services Before After Statistically significant? Housing Aid 2.27 2.63 Yes, p
misconceptions. These factors include (1) the unfamiliarityof the relevant education literature to many engineering educators, (2) the lack of concept inventories withgood estimates of internal consistency and validity that address core engineering areas and (3) the lack oftested educational materials in engineering similar to those that have been developed and tested inphysics. However, significant progress is happening related to each of these issues. There is awidespread and rapidly growing awareness of the benefits of active-engagement methods in engineeringeducation (Prince, 2004) and significant progress has been made in developing concept inventories forcore engineering topics (Evans, 2003; Reed-Rhoads and Imbrie, 2007; Streveler et al., 2008
for Engineering Education, 2011 m-Outreach for Engineering Continuing Education: A Model for University-Company Collaboration New Jersey Institute of Technology and Cell Podium, LLCThe most prevalent channel today capable of conveying educational and training content is thecell/smart phone. Cell/smart phones possess a unique combination of ubiquity, portability,connectively and low cost which together could make them a valuable educational tool.1 As amethod for providing training and education, m-learning is commonly defined as “e-learningcarried out by means of mobile computational devices” that are “small, autonomous andunobtrusive enough to accompany us in every moment of life”.2Today cell phones
engineering program can take to facilitate GV team collaborationswith partner universities.Introduction Globalization of engineering and business has necessitated collaboration among culturallyand globally diverse groups of people [1]. Traditionally this required key company personnel tojourney to international locations using expensive and time-consuming travel [2]. To counter thetime and monetary costs associated with this travel many companies have turned to using virtualcommunication tools to contact international counterparts to share information and collaborate[3]. This collaboration requires individuals to have the hard skills needed to perform the requiredengineering tasks blended with the soft skills that facilitate cross-cultural
internal entity and includes threemajor components, as shown in Figure 1. Page 25.259.2 Figure 1: Elements of a Research Experience ProgramThe research theme for a site dictates the research project selection process and is a veryimportant aspect for the research site. The thematic basis for the program can be a disciplinespecific or multidisciplinary in nature. The research projects could be loosely connected withinbroad themes such as science and engineering that allows almost all of the research conductedwithin a college or a university, or could be included in a more defined research theme such asmetal casting research that
structureScience and engineering education are seen as promising vehicles to promote 21st century skillsin the classroom because they are not only a body of accepted knowledge, but also involveprocesses that lead to knowledge 1, 2. For instance, the Science Teaching Standards encouragesteachers to teach science through inquiry 3. This includes engaging students in modeling andrepresentation, learning investigations, and argumentation, which can foster critical thinking,problem solving strategies, collaboration, and communication.4 Similarly, in the engineeringdesign process (EDP), students are able to ask questions, propose possible solutions, constructand test prototypes, and present final products, which promote creativity, innovation, criticalthinking
describes how to provide collaborative learning opportunities and fast feedback onexam performance by adding a team component to examinations. The method is supported byresearch in collaborative and active learning pedagogy and has been applied to computer sciencecourses ranging from first-year programming to graduate-level artificial intelligence. This paperrelates the use of team tests in two different university settings, with a range of implementations.Furthermore, it offers suggestions for customizing the technique to fit a specific classroomenvironment.1. INTRODUCTIONFinding the time and opportunity to incorporate active and collaborative learning in your classescan be challenging. Team testing is a collaborative learning activity with low