method is a multi-method approach that includes a questionnaire and set of interviewsto collect data on complex phenomena as each individual method would deliver only partialevidence on the phenomena, the multiple methods is expected to cover multiple aspects ofstudents’ experience. Page 22.334.3The research was designed to examine collaborative information behaviour in a naturalisticeducational setting to gain more understanding of how students collaboratively seek informationin an academic course and how students’ information behaviours are affected by the learningtask and its perceived complexity guided by the main research questions: 1
students who aspire toseek higher education degrees in Science, Technology, Engineering and Mathematics (STEM)by 1) creating a strong alliance between the universities and the state’s tribal colleges; 2)implementing an initiative of research capacity building in tribal colleges that will engage tribalcollege faculty and baccalaureate anticipatory STEM majors in basic scientific research; and 3)engaging tribal college students in research using a tribal college-university collaborative modelfor research mentoring. Recent educational research has shown that students who engage inresearch projects are more likely to enroll in and complete STEM degree programs whencompared to other students. Increased understanding of the research process, a shift
Concept Warehouse,which ultimately could be used throughout the core ChE curriculum (Material and EnergyBalances, Thermodynamics, Transport Phenomena, Kinetics and Reactor Design, and MaterialsScience). Conceptual questions, both as Concept Inventories and ConcepTests, will be availablethrough an interactive website maintained through the Education Division of the AmericanInstitute of Chemical Engineers (AIChE), the discipline’s major professional society. The overallobjective is to lower the activation barrier for using conceptual instruction and assessment so thatmany more chemical engineering faculty will incorporate concept-based learning into theirclasses.The specific objectives of this project are to:1. Develop the AIChE Concept Warehouse
has required that in order to be accredited, engineering programsmust demonstrate evidence of continuous assessment and continuous improvement.Components of a good assessment strategy include:1) Establish goals and desired educational outcomes for the degree program, which mustinclude 11 outcomes2 (designated “A-K”) identified by ABET as essential for allengineering programs.2) Measure whether graduates of the program are attaining the goals and outcomes. Thisprocess is required by ABET Criterion 3.3) Use the data collected in step 2 to identify opportunities for improvement, and modify Page 22.337.2the program accordingly.4) “Close the loop” by
characteristics or traits distinguish leaders from non-leaders: intelligence,dominance, adaptability, persistence, integrity, socioeconomic status, to name just a few. Bass isone of many who espouse the trait theory of leadership.Others disagree, saying leadership is more complex and situational. Criticism of the trait theoryof leadership by Zaccaro2 among others, noted that trait theory still: 1. Focuses on a small set of individual attributes such as the Big Five personality traits, to the neglect of cognitive abilities, motives, values, social skills, expertise, and problem-solving skills 2. Fails to consider patterns or integrations of multiple attributes
initiatives: 1. A high school recruitment program aimed at increasing the number of qualified applicants to the College of Engineering, 2. A five-day Summer Engineering Fellowship Camp providing interactive learning activities and field trips to highly qualified juniors and senior high school students, 3. The expansion and enhancement of an undergraduate student mentor program that provides formally trained student coaches to freshman and sophomore engineers, 4. Further development of the first-semester Engineering seminar experience to provide additional exposure to engineering applications and additional targeting of engineering freshman learning communities, and 5. Course curriculum enhancements in each
, we hope to provide other educators in both science andengineering with useful tools to assist them in developing and/or enhancing the use of writingwithin their own classrooms.IntroductionABET accreditation requirements emphasize the importance of “soft” skills in planning andachieving excellence in engineering education. In addition to “hard” knowledge, engineersneed to experience and understand “communication, teamwork, and the ability to recognizeand resolve ethical dilemmas.”[1] These skills are powerful when combined with awarenessskills involving “understanding the impact of global and social factors, knowledge ofcontemporary issues, and the ability to do lifelong learning.”[1] What is the most effectiveway of incorporating this into
electrical engineers in power systems. This paper describes thecommissioning of a 5kW DC photovoltaic generation system (PVS), which is being used at TheUniversity of Texas Pan-American (UTPA) as an educational tool, to let students learn thefundamental principles and to get hands-on experience with power and renewable energysystems. The system topology is shown in Figure 1.The PVS is called a hybrid system because it has been designed to supply energy in threedifferent configurations: (a) for stand-alone and battery applications, (b) for grid-tiedapplications, and (c) as a back-up (emergency) system that supplies power to smart-gridlaboratory at UTPA.During the first stage of the commissioning process, our efforts have been focused onunderstanding
. The format hasan additional advantage of presenting the same compact message to the reader, especially if it isbeing read on a screen or tablet device. Student responses indicate that the project goals arebeing met.Problem statementComplaints about poor student writing skills have been rampant for generations. Effectivecommunication (in all its forms) has been identified by Wagner as one of the seven survivalskills for careers, college and citizenship in the 21st century 1. There is also ample evidencefrom field studies that higher-level communication skills such as the ability to elucidate conceptsthat span many business functions is an essential attribute for promotion to business decision-making roles 2. Of all the forms of communication
apart is thefact that the very low cost of the system and its ease of implementation make it feasible for short-term deployment by local governments, despite very severe budget constraints. The Working System DiagramThe system consists of fire sensing units, a command and control unit, and mobile units. The firesensing units communicate with the control unit using Radio Frequency (RF), and the controlunit communicates with the mobile units using GSM. Figure-1 shows a high level diagram ofthis wildfire detection system5. Figure-1: Wildfire Detecting System3The overall operational method of the wildfire detection and monitoring system is as follows: Temperature sensor detects temperature fluctuations
its on-site curriculum and through study-abroad opportunities. This commitment is so strong that USDis currently ranked second in the nation for undergraduate study-abroad participation7. In thepast, the USD Department of Engineering has been only a very minor participant in intersessionand study-abroad courses. The CIE courses are a new venture joining the advantages of each:short-term (three-week) engineering courses taught by USD faculty abroad. The coursesdescribed here are the first two intersession CIE courses at USD: one summer CIE course hastaken place and another is on the schedule for summer 2011.The technical content and the international experience are assessed using a four-prongedapproach. (1) Student evaluations as required by
another part of the world, China is promoting its rapid and sustained economic growthpresently. Stimulated by the growing economy and developing industrial market, China’sengineering education has become the world’s largest in scale. Engineering undergraduateenrollment has reached 6.72 million in 2009, contributing 35.6% to the whole enrollmentnumber6. Within this context, engineering honors programs have been launched in succession byChinese top engineering-oriented universities and institutions with the support from China’sMinistry of Education and China Academy of Engineering, in order to educate undergraduateengineering honors students. Examples of the ongoing programs are listed in Table 1:Table 1: Examples of Engineering Honors Programs in
Education, 2011 Comparing Perceptions of Competency Knowledge Development in Systems Engineering Curriculum: A Case StudyAbstractAccording to the Systems Engineering (SE) Division of the National Defense IndustrialAssociation, one of the top five systems engineering issues for the Department of the Defense(DoD) is: “The quantity and quality of systems engineering expertise is insufficient to meet thedemands of the government and defense industry.”1 The growing gap between the numbers ofexisting versus needed systems engineering experts has caused numerous institutions to developsystems engineering competency models to guide workforce development. Academia hasresponded by incorporating existing systems engineering competency
experiences of 170 construction engineering students. Theyfound that quality internships help students learn how to learn in professional settings, a skill notteachable in the classroom. Laxman, Bright, and Renshaw (2005) reflect on their ownexperiences as students in internship programs. They note that the internship taught them “to useproject development models, learn new technology, and communicate…ideas effectively withmanagement” (p. 1). At the University of Wisconsin - Madison, we have observed that female engineering Page 22.348.2students participate in internship and cooperative experiences as frequently as or more frequently
Act of 2007stipulates that mentoring of postdoctoral fellows and ethics training of graduate andundergraduate students in science and engineering should be included in proposals to theNational Science Foundation [1]. Professional schools, such as engineering and business,have been particularly concerned with future practitioners’ ethical development [2].Accrediting bodies, such as ABET and AACSB, have been especially keen to incorporateethical knowledge of students as a part of the accreditation process for institutions. As perABET criterion 3f, for example, an engineering graduate should demonstrate anunderstanding of professional and ethical responsibility (though no specific guidelines toachieve this objective are provided). A workshop
fromstudent’s perspective, but to provide efficient use of page space.Each question contained an array of 6-10 statements. Students were asked to select their level ofconfidence with each of the statements. A Likert-type scale was used for student confidenceratings, from Highly Confident (5), Confident (4), Neutral (3), Less Confident (2), Not Confident(1). Three students were asked before the study was made “live” to pilot the survey. Theyreported it took 10-15 minutes to complete the survey and gave valuable feedback on the format.As students completed the survey, data was downloaded to a spreadsheet program by theresearchers for analysis.The statements had been designed to test the student’s attitudes of their capabilities in 5 differentcategories
thiscompare to what students actually report that they have learned or gained from the MEA?This paper reports on the use of MEAs and accompanying reflection survey designed to helpstudent understanding of targeted concepts. It addresses the question, “to what extant areinstructors aware of what their students have learned from a problem solving experience?” Inparticular, it focuses on the use of MEAs within four courses - Biotransport Phenomena,Probability and Statistics for Engineers 1, Transport Phenomena and Engineering EconomicAnalysis. For each course, the instructors were interviewed upon completion of the particularMEAs employed in their course using an interview protocol adapted from the students’ RT. Thestudents’ reflection responses and
2the centering of a cylindrical part on a roundness tester. Students were videotaped while doingthe tasks, and two raters coded each video. The rates assigned an expertise rating on a scale of 1-4 using the definitions shown in Table 1. To initiate the test, a lab assistant gave the studentdocumentation that stated the task goal and basic instructions to complete the task. Typically, thelab assistant would only become involved if the student asked a question. However, if the studentdetoured significantly from the lab procedures, the lab assistant intervened. The students werenot given any preparation before they arrived. At the start of the task the only information givento the student outside the documentation was location of equipment and
learning modes and adapt their preferred learning styles to suit the conditions of a particular course, other students are dependent on a single style oflearning and are thus sometimes less able to change how they learn when circumstances dictate.Among the different methods used for classifying student characteristics with respect to learningpreferences (e.g., Kolb Learning Style Index, Felder and Soloman Index of Learning Styles,Myers-Briggs Type Indicator) is an approach that characterizes the “ways in which people likeinformation to come to them and the ways in which they like to deliver their communication”1.Since much of learning and teaching revolves around the communication of information to andfrom the student, it is important to
environmentalchallenges of the high tech workplace 1,2. The next generation labor force will need to be able toexamine problems from a variety of contexts, create ideas from these contexts, analyze andsynthesize information, and work collaboratively with a diverse set of colleagues – traits that areemphasized in the ABET engineering accreditation criteria 3, but unfortunately are not effectivelyhoned by our K-12 educational system. To be effective, learning experiences should, at once:1) be designed to target content and skill learning standards, and 2) incorporate 21 st centurycontexts that include ample technology so that the experiences are relevant and valued by currentand future students.The National Research Council, in collaboration with the American
current research focuses on 1) innova- tive construction engineering education using computer simulations and animations; 2) energy efficient buildings using renewable energyYimin Zhu, Florida International University Dr. Yimin Zhu received his Ph.D. degree in 1999 from the M.E. Rinker, Sr. School of Building Con- struction at the University of Florida. He is an associate professor in the Department of Construction Management at Florida International University (FIU), where he taught a variety of undergraduate and graduate courses and performed research in the area of information science and applications to construc- tion. His research was funded by various agencies including National Science Foundation, Department of
theory have been slow to enter the world ofengineering education, yet they offer some important leaps forward for the engineering educationcommunity. In particular, they bring to light some problematic assumptions or myths thatinfluence our framing of “the problem,” our development of research questions, our studydesigns, and our interpretation of findings.This paper examines three myths of gender and race that operate in engineering education, anduses a review of the literature as well as findings from the authors’ research to address them.Myth 1: Gender Difference and Gender EssentialismWhen engineering education researchers study gender, they often construct studies to look fordifference. Studies reviewing the literature on why women are
as an indicator of how close a material is to relevant transitions. Stress versus strain behavior (e.g., elasticity) and stress versus time and strain versus time (e. g. viscoelasticity) Multi-axial loading behavior Behavior of specific geometry (e.g., beams, thin wall objects)With the core course ideas and the three levels of student achievement, a 7 x 3 table for thecourse learning outcomes is created (see Table 1). Table 1. Course Learning Outcomes Level 1: Calculate/identify Level 2: Apply/analyze Level 3: Evaluate/design Functional decomposition
. Page 22.358.2 2011 ASEE Annual ConferenceStudents have been involved as follow: about 35 undergraduate students (ARE/ME) have been divided ingroups: - Instrumentation and measurement (temperature, pressure, airflow, combustion analysis, thermography, dew point, duct leakage, equipment efficiency, and so on). - HVAC system auditing - Attic Auditing - Basement Auditing - Simulation and regression models 1) Instrumentation:Several buildings have been instrumented with sensors placed in attics, on walls and in basements. Apower meter has been installed in each building, and a data acquisition system allows the storage of themeasured data. 2) Comprehensive Experimental study
Device Technologies: A System-Based Overview Using Engineering Standards 1 isdivided into two Parts. In Part I, foundational medical device topics, such as some commonsensors of medical instruments, are described in chapter 1. Students are then exposed to 19 basicmedical devices in 19 chapters: the electrocardiograph, pacemaker, external defibrillator,implantable cardioverter defibrillator (ICD), heart valve, blood pressure monitor, catheter/baremetal stent, hemodialysis delivery system, mechanical ventilator, pulse oximeter, thermometer,electroencephalograph, deep brain stimulator, cochlear implant, functional electrical stimulator,intraocular lens implant, hip prosthesis, drug-eluting stent, and artificial pancreas. The medicaldevices chosen
Implementation Strategy Our project implementation strategy is based on the transformation model depicted inFigure 1, which comprises five interactive nodes: • Node 1: Interview/survey engineering stakeholders to identify the computational competencies needed in the engineering workplace. • Node 2: Abstract common⎯in an engineering context⎯ computational problem-solving principles from the interview/survey data. • Node 3: Align the computational problem-solving principles with computer science (CS) concepts. • Node 4: Identify opportunities to integrate/reinforce these CS concepts in the curricula. • Node 5: Implement revisions in engineering curricula. The Transformation Model provides a framework
and their mathematicalrepresentation are covered in chapter 2 of our Statics textbook.1 Equilibrium of a particle in two-and three-dimensions are discussed in chapter 3. Students learn to draw the free-body diagramof a particle acted upon by several forces and form the force equilibrium equations. Two-dimensional problems can be solved for the magnitude and/or direction of unknown forces actingon a particle using the analytical method. However three-dimensional problems require thevector method as it is extremely difficult to calculate the angles made by the forces, acting on aparticle, with the x, y and z axis. The vector method involves the calculation of the unit vectorassociated with each force acting on a particle, formulation of the
any discrepancies in the geometry as well as dimensions. The outcome of thequality control would be some recommendations for corrections so the part meets perfectly withthe blue print specifications prior to the mass production of the part. These three steps areimplemented in the multi-bladed rotor to inspect the geometry and to compare dimensions withthe blue print specifications. This information is instrumental to understanding why the turbinewas reading different flow rates in two different directions. As depicted in figures 1 and 2, themulti-bladed rotor is mounted in the chamber/ housing of a turbine flow meter and suspended inthe fluid stream on a free-running bearing. The turbine flow meter is a device to measurevolume flow rate of
discipline of System Designfrom at least four different perspectives; via: 1) PLD/FPGA centric system design, 2)Microcontroller based Embedded System Design, 3) PC based Network-oriented DistributedSystem Design and 4) DSP based Real-time Processing based System Design1. The hardwarefocus is in the areas of PLD design, Analog Electronics Embedded System design, Electronicfabrication, Biomedical Electronics, Computer Networking, Distributed Systems and DigitalSignal Processing (DSP) .This proposed plan emphasizes on both disciplines (Electrical and Computer EngineeringTechnology and Computer Science), along with a solid math, science and general educationbackground, to enable industry ready students to tackle the challenges of the future. Theproposed