to basic enrollment at their schools and national statistics. Many used manual countingtechniques or talking with counselors or administrators. A few participants shared ways in whichtheir counties were able to access more systemic data such as “AGP data and science FCATscores in comparison with our boys.” Others felt that they had access to some data but not Page 24.1072.2enough for a longitudinal study: 1 “We can download data that shows the percentage of female students who enrolled in STEM-related programs after leaving elementary school, either in middle or high school. That
delivery; they can stop/rewind/replay at any point; and they can do thison their schedule. After recording, screencasts can be edited by adding information, callouts, andannotations, and by removing recording dead times. Studies have shown that screencasts improve student learning [1-3]. In addition, they freeclass time for more active learning, save instructor time, and provide students more control overtheir learning. Students in an entry-level freshmen chemistry course showed significantimprovements in performance and conceptual understanding when screencasts were used [4].Physics students provided with screencasts significantly outperformed students receivingequivalent textbook instruction in class [5], and when screencasts were used as pre
, the SFIP has been proposed as a mechanism to diffuse Page 24.1074.2engineering education innovations in the classroom. Diffusion of educational innovations is achallenge that has defied a satisfactory solution for decades as evidenced by the many referencesin the literature; for example, Borrego [1] states that “despite decades of effort focused onimprovement of engineering education, many recent advances have not resulted in systemicchange”. The Research Council of the National Academies’ report on transforming STEMeducation [2] states that support is required to implement “innovative STEM course developmentthat exceeds substantially the
Paper ID #8420Security Incident Tracking in Virtualized Linux EnvironmentDr. Manghui Tu, Purdue University Calumet Assistant Professor, Computer Information Technology, Purdue University Calumet, USA. He received his Ph.D. degree of computer science from the University of Texas at Dallas in December 2006. His research interests include distributed computing, information security, and computer forensics.Mr. Shiming Xue, Purdue University Calumet SHIMING XUE Address: 6943 Wicker Ave E-mail: xues@purduecal.edu Hammond, IN, U.S 46323 Cell: +1 (765) 404-9776 EDUCATION Purdue University Calumet, Hammond, IN Jul 2014
worksheets wereselected from noticeably challenging problems students encountered in the past. Before thestudents are given the worksheets, a tutorial is distributed to familiarize the students with theoverall structure of the worksheets. The tutorial explains the notation used throughout theworksheets, proper methods to input data, utilization of the hint buttons, and how to read thefeedback provided when checking their answers. A portion of the tutorial is shown in Figure 1.In this example, the problem statement has already been introduced, and the use of bold facedletters for vectors has been explained. Figure 1. Portion of the overview Maple tutorial worksheet.Level zero, shown in Figure 2, consists of relatively simple
Control Scale36. The instrument contained 14 self-efficacy items (i.e.,“If I participate in construction training in an unfamiliar area, I expect to be able to do well.”), 9motivation items (i.e., “I would like to improved my construction-related skills.”), and 7 LOCitems (i.e., “Having the opportunity to attend a construction-related training program is mostly amatter of luck.”). Survey respondents provided their level of agreement with each statement on a5-point Likert scale (1 = Strongly Disagree through 5 = Strongly Agree). High levels ofagreement with statements in the instrument indicated higher levels of perceived self-efficacy,higher motivation toward construction education, and an external LOC orientation.Administration, Data Collection
personal computer containing the data acquisition software. Figure 1 schematically depictsthe system set up in its simplest configuration using a single, mixed reaction vessel. The plasticreaction vessel has a maximum working volume of 3.785 liters and is clear-walled to provideeasy visual observation of the changes in tracer concentration as the dye works its way throughthe system. The adjustable PVC pipe-based overflow system is used to control the activeworking volume of the test reactor at a pre-determined level. Figure 1. Test System Schematic DiagramExperiments currently have students using variable speed peristaltic pumps to provide anappropriate, constant volumetric flow rate. Volumetric flow rates are set at
represents time and ei represents the event taking place at time ti.ei takes place before ei+1 for 1≤ i ≤ n-1. This model can be used in data mining, calledsequence data mining, to predict certain event that may take place at a specific time.Sequence data mining has a wide range of applications. This data mining technique canbe used for prediction of adverse events and recommend proper actions to be taken asneeded. In aviation safety, the future of a flight can be predicted as a sequence and properaction can be recommended to avoid dangerous situations that a flight may get intootherwise. In health care system, the future of a bacterial infection can be predicted andproper medicine can be prescribed for different situations to bring the patient’s
and pathways not afforded to those deemed “struggling” (by thesame measures). Cultural meanings of smartness are problematic for other reasons. “Doingschool” (compliance) is often conflated with “being smart”1. Narrow performances of getting theright answer or displaying knowledge are often privileged over critical thinking, creativity, andproblem solving2. In a longitudinal study3 of scientifically talented boys, research indicatedscientific interest and abilities were helpful, but not a necessary component of getting recognizedas someone with scientific promise. Likability and institutional markers of academic ability (likeAcademically Gifted status) were much more influential in others recognizing the boys asscientific. Students
Teaching Award. His research interests include thermochemical processing of biofuels, combustion and applied energy/heat recovery. Page 24.1081.1 c American Society for Engineering Education, 2014 Significant Learning in Renewable EnergySignificant learning in engineering educationFor over 50 years, Bloom’s taxonomy has been used widely in higher education, includingengineering, as a foundation of effective pedagogy1. The taxonomy has three domains:cognitive, affective and psychomotor. Higher education typically emphasizes the cognitivedomain, which is summarized in Table 1
earlier, in 2003,there were just 37 accredited undergraduate programs, but many of the programs that are nowaccredited had been initiated. The dates when programs were first accredited are available fromABET [1]. The earliest accreditations in biomedical engineering were awarded in 1972 to DukeUniversity and Rensselaer Polytechnic. For several reasons, we have been interested in characterizing the required curriculum for Page 24.1082.2undergraduates in biomedical engineering at institutions across the United States. Employers,textbook publishers, and emerging educational programs in biomedical engineering andbioengineering can all benefit
effect on student learningexperience in PD&C at Rowan University.The Undergraduate Process Dynamics and Control CourseThe Accreditation Board for Engineering and Technology (ABET) stipulates that chemicalengineering graduates are able to “design, analyze, and control physical, chemical, andbiological processes” [1, emphasis added]. These processes are intrinsically dynamic, in the sense thattheir variables are constantly changing with time; yet in most chemical engineering programs,the first and only course that focuses on dynamic behavior is PD&C. In this single course,students are required to develop a wide range of knowledge, abilities, and skills (KAS) coveringboth dynamics and control, such as those defined by Edgar et al. and
innovation issomething original, new, and important - in whatever field - that breaks in to (or obtains afoothold in) a market or society”1. The present study included twenty-five participants. Twenty-two of the participants are employed by global manufacturing companies located in the UnitedStates; company employers included the Subaru of Indiana Automotive (SIA), a notableworldwide car manufacturing company; the Wabash National Corporation (WNC), a leadinginternationally recognized trailer manufacturer; Cummins Inc. (CMI), a global corporationdesigning and distributing engines and power generation systems; and an internationallyheadquartered helicopter and industrial production entity from the Russian Federation. All 25participants were senior
over 800 institutions in 52 countries.A major paper describing the development and validation of the CATME Peer Evaluationsystem was published in Academy of Management Learning & Education in December 2012. OnJune 1, 2013, this paper received the Maryellen Weimer Scholarly Work on Teaching andLearning Award, “recognizing outstanding scholarly contributions with the potential to advancecollege-level teaching and learning practices,” at The Teaching Professor Conference. Loughry, M. L., Ohland, M. L., & Woehr, D. J. (in press). Assessing teamwork skills for assurance of learning using CATME Team Tools. Journal of Marketing Education. Accepted for publication June 17, 2013. Key findings: This paper describes how the
result of formal mechanisms.Beyond mastering knowledge and the process to produce it, students must also acquire a myriadof professional skills and information to succeed in their desired career paths. The IGERT-MNMEducation and Training program addresses these three missing elements in graduate education by(1) offering instruction on emerging interdisciplinary knowledge, (2) providing formal training toprepare students to become independent researchers, and (3) emphasizing pedagogical andprofessional development training. In addressing these areas, disciplinary boundaries andtraditional graduate education paradigms are challenged through the active engagement ofgraduate students.Literature on IGERT programs show that the most popular learning
Page 24.1088.3learning activities and make evidence-backed pedagogical decisions. However, a review ofliterature also suggests that social learning analytics has not been performed on onlineengineering communities supported by off-the-shelf online discussion forums software. Thisresearch therefore serves to uncover the basic elements of social structures in an onlineengineering community.Research Setting and Data CollectionThis study examines an open online engineering community, All About Circuits, that is cateredtowards learners of electrical engineering topics such as circuits, electronics, microprocessorsand programming (see Figure 1). This community is primarily supported by an online text-baseddiscussion forum that facilitates voluntary
they progressthrough the engineering curriculum using a longitudinal study.BackgroundIt has been asserted that the current generation of incoming college students possesses a highdegree of civic responsibility. The Higher Education Research Institute has been studying civicresponsibility for over 40 years and reported that civic engagement has increased, evidenced bythe fact that 72% of first year college students in 2012 said that “help others in difficulty” was anobjective that was essential or very important,1 as compared to 58.7%, in 1987.2 The Associationof American Colleges and Universities (AACU) currently has an initiative to educate studentsfor personal and social responsibility, stating a goal that campuses should “prepare [students
also equipped withhardware based experiment systems to evaluate and compare the teaching effectiveness of thenovel SDR approach to that of traditional hardware equipment approach. The novel SDRapproach and laboratory suite will be implemented, transferred and institutionalized at threeparticipating institutions (Wright State University, Miami University (a mostly undergraduateserving institution), and Central State University (an HBCU)) to demonstrate the capability ofenhancing student learning and easy adaptability by other institutions. 1. IntroductionNeed & Motivation: Wireless communication and networking has tremendously changed oureveryday life in the past two decades. Currently there are 292.8 million wireless subscribers inthe US
such as anti-reflection coatings• many aspects of photovoltaics and other optoelectronic devices such as LEDs, sensors, flat panel displays, and other energy conversion devices such as photocathodes• basic ideas of hyperspectral and remote imaging• radiative, conductive, and convective heat transfer; and various heating and cooling methods (resistive heating and convective heating/cooling, thermoelectric (Peltier) effects, optical heating with lasers and flash lamps, ultrasonic heating)• thermal and infrared physics, as particularly related to thermal imaging and IR optics Page 24.1091.2 1• thermomechanical
learning outcomes, namely enhancedunderstanding of thermodynamics laws, strengthened problem-solving skills, and increasedknowledge and skills of using games, simulation, modeling and collaborative learning tools.INTRODUCTIONAmongst the complex educational development cycle, high school serves as the mostdefining point for growth and decision that ultimately affects a student’s choice for careerpath. Unfortunately, difficulty with early concepts in mathematics and sciences can dissuadestudents from pursuing further education in STEM fields (Science, Technology, Engineering,and Medicine) [1]. Student frustration is commonly to blame for poor performance, but thewide range of learning styles and varying degrees of propensity between students makes
were eachconsidered separately in the modeling strategy comparison, and there was no need to considerthe complexity of the part itself.Another measure of complexity could be the number of parameters or dimensions in the model.However, as noted previously, some dimensional constraints could be replaced with geometricconstraints on the same part, depending on the design intent. Kirstukas25 demonstrates this withtwo different versions of the same part, one of which has eight dimensions and the other nine, asseen in Figure 1. Other non-numeric feature parameters might include such characteristics as theterminal conditions for protrusions and holes. Figure 1. Part with different dimensioning schemes and parameter count (Kirstukas25)Datum
three identified tests, the measurement of spatial ability between noviceand experienced spatial ability learners, and recommendations for further research. Thecorrelation results were positive between spatial tests although varied in correlation strength(strength of linear association). These results are similar to other reported correlation findings.The spatial learner results show experienced learners have higher spatial ability scores on thethree spatial ability tests than novice learners. It is the hope of the researchers that this study willstart the inquiry into which visualization tests are best used in determining visual capabilities forstudents taking our classes.IntroductionIn Theories of Human Communications, Littlejohn and Foss 1
sessions were the most popular. In the spring 2013 semester, the classes averaged a 4.47in overall usefulness rating on a scale of 1-5 with 5 being most useful. More students attendedthe 2:30 pm afternoon sessions and most of the attendees were graduate students.The classes often had repeat students. In one class on RefWorks, a graduate student noted he hadnever heard of Compendex until it was mentioned in this class. He then went on to sign up for 4more of the sessions offered that semester as soon as he realized how helpful they were.The Xpress Class series has proven to be an overall success. As time goes on the Library willcontinue to make adjustments to the programs so that it will continue to improve its usefulness tostudents, faculty, and
havecreated for our students.2. Schumacher’s Intermediate Technology as the Precursor to Appropriate Technology Appropriate technology is widely credited as an outgrowth of the ideas expressed by the“radical economist”1 Ernst Friedrich “Fritz” Schumacher in his book Small is Beautiful: A Studyof Economics as if People Mattered2, which is a compilation and synthesis of his writings andwork from the 1940s through 1960s in which he developed the concept of “IntermediateTechnology”. The origins of Intermediate Technology reside in Schumacher’s criticism ofconventional development practices, which assumed that the problems of the developing worldcould be solved by the transfer of capital-intensive, large-scale technologies from theindustrialized
tracked byorganizations like the National Center for Women and Information Technology, the Anita Borg Institutefor Women and Technology and The Association for Computing Machinery (ACM) all report similarstories 1, 2, 3. There is a steady decline in the number of university students graduating with computerscience degrees over of the last ten years. More alarming is that enrollment and graduation rates inComputer Science are much lower for women and URM students. The Computer Science EngineeringTechnology - STEM (CSET-STEM) Scholars Program seeks to reverse this trend at XYZ STATE byrecruiting into the STEM pipeline, academically talented students who will be able to graduate withcomputer science degrees and degrees in mechanical, civil, and
inform instructional decisions?1 Asmore and more progress is being made towards implementing active learning and cooperativelearning in higher education classes, it is worthwhile to re-examine grading procedures to see ifthey are appropriately supporting active learning strategies. The efficacy of active learningactivities2 and cooperative learning strategies3-5 has been demonstrated convincingly in theliterature.So how should grading being conducted, in light of the research showing the efficacy of activeand cooperative learning? We can broadly divide grading strategies into two types ofassessments: formative and summative. Formative assessments can be thought of as a loop,where “students and teachers focus on a learning target, evaluating
of this paper is to report the results of administering these toolsamong different courses to gage students‟ understanding of the Statics concepts and how theyaffect the follow on course preparation.The most recent Statics OLI is organized in to seven Units of course concepts and material.These are:Unit 1: Concentrated Forces and Their EffectsUnit 2: Complex Interactions between BodiesUnit 3: Engineering Systems - Single Body EquilibriumUnit 4: Frames and MachinesUnit 5: TrussesUnit 6: Friction, andUnit 7: Moments of InertiaEach Unit contains one or more Modules of material for a total of 20 Modules under all theseven Units. As an example, Module 1 covers topic on: Representing Interactions BetweenBodies; Module 2 on: Introduction to Free
etc.) are being developed to provide schools with multiple module options.318-257-2319Example ModuleFigure 1 is the engineering design process graphic that guides studentsthrough each module. Annotated by each step in the process is a Because the school mascot is the medieval knights, the 7thsample of the STEM Discover Catapult module in which students build a graders have been asked to build trebuchets to throw prizes into the crowd at pep rallies and sporting events.trebuchet. Additionally, a creative writing opportunity is included (betweenSteps 5 and 6); students
. Parents were specifically engaged at two points during the program: ahomework assignment designed to have parents and daughters brainstorm about the Lwaladesign challenges and an invitation to parents to participate in the engineering design projectpresentations on the last day.The Parents’ Engineering Awareness Survey (PEAS)1 was administered to all consented parents(one per participant) prior to and following the SSI. The PEAS survey includes knowledge,attitude, and behavior aspects; only the knowledge and attitude aspects were hoped to beimpacted by this program due to the short intervention time between implementations of thissurvey. The Draw an Engineer Test (DAET) (Knight and Cunningham, 2004) was administeredto all consented student
to stimulate and increase interest, as well as confidence, inpursuing a STEM or engineering career among young people, including under-representedminorities. This is a very important goal as STEM based occupations are expected to increase inthe future2, while the enrollment in STEM programs in the United States continues to lagbehind3. Another objective of summer camps is to introduce students to the campus of theuniversity or college offering the camp and to help with future student recruitment.A good grouping of various summer camps is provided by Robert Fletcher in a paper presentedat the ASEE Annual Conference and Exposition in 20104. According to Fletcher there are fourtypes of summer camp programs: “1. introduction to engineering