centrally located screen for subsequent discussion and collaborative attainment of a deeperunderstanding. This paper examines in-class-use cases involving three teachers of diversebackgrounds who participated in our project; the goal of which is to answer the followingquestions: 1) How did our tool change the way the way the teacher engages with studentthinking? 2) How did our technology support the teacher as he interacted with student ideas?3) What are the factors that enable the teacher to or prevent him from capitalizing onopportunities afforded by the tool to probe student reasoning? 4) How does this engagement, aswell as other aspects, affect the student discussions that result from using the tool? In so doing,we hope to inform future
theredesigned undergraduate engineering economics course that was part of the eFellows program.Instructional ContextTwo large sections of an undergraduate Engineering Economics course were delivered inhybrid/buffet mode during the Fall 2012 semester, following a successful pilot and fullimplementation in earlier semesters. A thorough discussion of the course structure, components,and preliminary implementation results may be found in Grasman et al.13 As previouslydescribed, a variety of course components were utilized. The course components may becategorized as: 1. Online Resources a. WileyPLUS, the online learning environment associated with Principles of Engineering Economic Analysis 5e by White, Case and Pratt3, consisting of a
framework for an information visualization arealso presented.1. Background and MotivationTechnology has the potential to aid instruction, but the simple act of using technology to deliverinstruction does not improve the instruction being delivered [1]. In order to have a positiveimpact on student learning, instructional technology developers must draw on what is knownabout how people learn and then use technology to improve the quality of the instructionalmaterials. This often involves collaboration between researchers with backgrounds in educationand those with backgrounds in software, or other technologies. This paper serves as a case studyof one such instructional software development process, the development of the Adaptive Mapdigital textbook
, watching on-line videos of the tornadoand taking a field trip to neighborhoods impacted by the tornado (see Figure 1). During the fieldtrip they took pictures of the damage (see Figure 2) and recorded their observations andquestions.After the field trip and a short introduction to knowledge building theory, students spent oneweek collaboratively developing knowledge building questions on Knowledge Forum. They didthis by posting their observations (with pictures from the site and other pictures and videos theyfound on the Internet), as well as their initial theories and questions about their own and theirclassmates’ observations. Figure 3 shows part of the Knowledge Forum workspace developedduring the first week and shows how students built upon
/CurriculumRevision-Overview.pdf3. Vegso, J. (2006). Drop in CS Bachelor’s Degree Production, Computer Research News, Vol. 18, No. 2. Retrieved July 2008 from http://www.cra.org/CRN/articles/march06/vegso.html. March 2006.4. Bomia, L., Beluzo, L., Demeester, D., Elander, K., Johnson, M., & Sheldon, B. (1997). The impact of teaching strategies on intrinsic motivation. Champaign, IL: ERIC Clearinghouse on Elementary and Early Childhood Education. (ERIC Document Reproduction Service No. ED 418 925).5. Williams, A., Rouse, K., Seals, C. & Gilbert, J. (2009). Enhancing Reading Literacy in Elementary Children Using Programming for Scientific Simulations. International Journal of E-Learning. 8(1), 57-69.6. Brightman, J. (2006
computer programming exercises through the use of a short videomade via video capture and incorporating oral commentary by the instructor as the assignment isgraded. The article describes the technique used, student perceptions of the technique, acomparison of faculty effort, and assessment from two private 4-year institutions in the Midwest.1 IntroductionIt is well known within the educational community that students exhibit different learning styles.These learning styles have been well documented an analyzed across different disciplines.Effective teaching involves understanding these styles and adjusting ones classroom presentationto appropriately match the needs of the students. Overall, there are six prominent learning stylemodels in the
. Thesefunctions can also be controlled through the Ribbon interface for those without touch or penenabled. Figure 1 shows the gestures provided by VText. Page 23.555.4 Figure 1 VText's GesturesWhile OneNote already provides a mechanism for searching the contents of handwritten notes,images, and text inside any book, VText adds a mechanism to search the web using popularsearch engines such as Google, Yahoo!, and Wikipedia for any text content in the books quicklyand easily. This feature, shown in Figure 2, can be accessed by selecting the desired searchterms and right clicking (a press and hold on a touch screen) then
author teaches the Computer Programming for Engineers course, which is a required coursefor all engineering freshmen in all disciplines at Hofstra University. The course is about 2/3Matlab and 1/3 Excel. We have a variety of students. Some are eager to learn and highlymotivated. Others are much less enthusiastic. To make the course interesting and relevant, weuse problems from science and engineering as much as possible. The problems are specificallychosen to illustrate the various topics covered in the computing course and to show theusefulness of the computer in their solution. Special emphasis is given to choosing problems thatare of general interest to all the students, regardless of engineering discipline. Students need tobe familiar with
. Page 23.583.1 c American Society for Engineering Education, 2013 Exposing Middle School Students to Robotics and Engineering through LEGO and Matlab1. Introduction Use of robotics in the K-12 environment is becoming increasingly common to introducestudents to educational and career opportunities in engineering and technology fields.1 Moreover,several recent studies2—4 have shown the effectiveness of robotics-based, hands-on science andmath lessons vis-à-vis traditional classroom instructional practices. A wheeled mobile robotprovides not only a compelling hook to engage students’ interest, it also brings a new meaning toclassroom math and science concepts by connecting them to
flow visualization tasks. However, thereis a lack of tools to help students learn important flow visualization concepts. In this paper, wepresent a visualization tool, FlowVisual, which illustrates basic flow field concepts in 2D.Techniques involving field-line tracing, line drawing, background texture, field-line comparison,and critical point detection are integrated into FlowVisual to serve a comprehensive learninggoal targeting both engineering and visualization students. We evaluate and demonstrate theeffectiveness of FlowVisual by conducting a formal user study consisting of an introduction andtraining section, an auto-grading test, and a survey.1. IntroductionFluid mechanics and computational fluid dynamics are among the core courses in
outcomes of thisyear long program.1 IntroductionThe I-3 (Pronounced “I three”) Experience program offered a 21-week after-school program for 9th -12thgrade students who are interested in exploring computing. Students went to campus once a week for a 2.5hours session in the evening. Our goal in designing this program was to build on the success of K-12summer camp outreach programs offered at Georgia Tech’s Institute of Computing Education (GT ICE).Thus, we aimed to offer students an opportunity to pursue their interest in computer science (CS) througha constructionist and project-based curriculum. As we moved the students from exposure topersonalization of the technology they developed, we aimed to increase the number of students desirousof
these activities. Participants were also asked torate, using a 4-point Likert-type scale (1 = very little, 4 = very much), 22 items that reflected thedegree to which their internet use affected their skills. Exploratory factor analysis generated fourknowledge factors involved in internet use: non-formal, informal, professional, and social.Informal was shown to be the most important knowledge factor for participants, followed bynon-formal, social, and professional.IntroductionVarious researchers have examined the impact of internet use on academic performance andachievement of students, and have come to diverse conclusions. On one hand, some researchersfound a negative effect of internet use. Kubey, Lavin, and Barrows 1 for example found
the entire sample to calculate inter-coder reliability using Cohen’s kappa, ameasure that takes into account the possibility of chance agreement12. We obtained a Cohenkappa value of .875, which indicates almost perfect agreement and is highly acceptable incontent analysis research15. This value provides evidence that the coding scheme was wellunderstood and applied consistently by the coders.Table 1 lists the percentage and number of tools that offer each feature we coded for. To organizethe discussion of the results, we group the features into four major categories: 1) features relatedto the management of multiple social media accounts; 2) features related to reports of activityanalytics; 3) features related to the creation of online
computer language tocode their algorithms for the larger problems and therefore their efforts would be spent onsolving the problem.For CS 053/054, the two courses’ instructors meet weekly to coordinate instruction in two ways:1) to insure that all students in all sections have the same materials presented in like manner andat the same time, and 2) to coordinate the topics of the lab exercises to reflect the current topicsin the lectures. So doing, all students will have seen the same material presented prior to startingthe lab exercise.CS 053 is a traditional lecture course. The first lecture is used to set the stage for the rest of thesemester by going over the syllabus, how programs are submitted, and so on. All other lecturesare dedicated to
were then compared to aretrospective review of their performance on two mid-term examinations. The first examinationfocused on SolidWorks programming skills, while the second focused on MATLABprogramming skills. There was no significant difference, overall, between the scores on the twoexams (Exam 1 = 92.3% ±10.5; Exam 2 = 92.3% ±10.4, p = 1.00). The individual differencesbetween the two exams was calculated and used as a dependent variable, where a positive changesuggested that the individual performed better in the MATLAB exam, and a negative change wasindicative of a better performance on the SolidWorks exam.Analyses were performed separately for both the Visual/Verbal and Sequential/Globaldimensions. For each dimension, a Mann-Whitney U
experiments are designed to reinforcethose concepts in laboratory setting. The project helps in integrating the information andexperience gained in this course with their previous knowledge, both at component and systemlevels consolidating their understanding. The students have access to the lab and the robots towork on their projects beyond the normal class hours, under the supervision of graduateassistants working the lab. The weekly schedule for the course is presented in Table 1 showingthe coverage of the topics, the associated lab experiments, and project. The schedule of thequizzes and exams are also included in the table. The quizzes and exams are designed toevaluate theoretical ability of students in the topics covered. The questions are also
equipment andincreasing undergraduate enrolment, online labs are a solution, a solution of particular importin the developing world 1. Page 23.423.2 iLabs are online laboratories which make use of the iLab Shared Architecture 2, 3. The iLabproject started at MIT and its aim was to create a movement to develop and disseminatetechnology for sustainable and scalable iLabs so that they could be shared worldwide.Globally, more than a dozen iLabs have been developed and deployed. However, all iLabs todate use clients that were developed for desktop PCs. With the recent surge in the use oftablets and mobile phones, and in particular, those running the
at Austin9.At SJSU, Tech 198 is required for several majors in the College of Engineering and the courseprovides assessment data for ABET and other accrediting bodies. Tech 198 is a required coursefor all BS Industrial Technology, BS Aviation, and BS Computer Engineering majors; inaddition, it attracts students from other engineering majors and other majors at SJSU. This courseis delivered in a novel way. It has a hybrid structure and is composed of three units that aredelivered through self-paced multimedia CD (Units 1, 3, and 4), one unit that is deliveredthrough WWW instruction (Unit 2), and three units that are delivered either through a traditionalclassroom model or using the Desire2Learn (D2L) course management system. This course
to engineering requirements orpotentially disassemble them. Also, the instructors can monitor the entire assembly process andautomatically collect performance statistics. Therefore, such environments have the potential tobecome valuable workforce development tools that enable their users to acquire practical skillsfor assembling a variety of electro-mechanical systems for the purpose of manufacturing,maintenance and repair.1. IntroductionFor some time, educators from different areas have been designing video games for improvingteaching or training practice. Such video games are required to integrate instruction strategiesand ludic activities to benefit educational goals1.This idea has been implemented for differentfunctional purposes. Some
achieved assessment mapping level of learning outcomes. Assessment types are classified as a Function or not and then are further classified as Onto, Onto-Many, Onto-All-Many, Many, All-Many or none. This classification is done both at the course level as well as the program level where the program level is further divided into Program and Program-Curriculum. The details of this dashboard using the standard classification are presented.1 IntroductionBasing the improvement of education programs on the assessment of learning outcomes hasbecome a fundamental element of accreditation. For example, the Computing AccreditationCommission (CAC) of the Accreditation Board for Engineering and Technology (ABET)expects
using the Performance Assessment SoftwareThe performance assessment software has four main functions – allows data importation,creating performance assessment metrics, implementing performance assessments andgenerating performance reviews and reports.Figure 1 shows a typical front-page in the performance assessment software indicating coursesbeing taught and assessments to date.Figure 1: Faculty Page in the PAF Page 23.88.4Program Outcomes and Performance CriteriaProgram outcomes (a-k) and associated performance criteria are based on ABET accreditationguidelines. Performance criteria are linked to program outcomes and are specific measures of
management tool. As aresult, the utility of the app is not limited to science and engineering fields but will aid evaluationof any open-ended assignment. We also report current developmental efforts and future evolutionof the app. Overall, evaluA+ presents itself as a next generation of educational tool that will beindispensable for instructors seeking effective and efficient grading alternatives.IntroductionIn an effort to facilitate common grading responsibilities of teachers, several computer basedsolutions exist that attempt to digitise evaluation of student assignments. Some solutions allowgrading of digital copies of reports and essays while many enable instructors to electronicallymanage overall class performance.1-5 Often these solutions
first year introductory engineering course at UTEP. The inherent focus is onstudent perceived value and learning impact (comprehension of learning outcomes). An iPad wasprovided to students along with focused activities to gauge differences in comprehension oflearning outcomes. Student perceived value of using an iPad for a class was also measured, testedand re-evaluated within a learning environment featuring 21st century demographics for thescience, technology, engineering, and mathematics fields (STEM). The effect of iPad inclusion inthe STEM classrooms was focused on two key indicators: (1) academic impact and (2) studentperceived value. Student perceived value was measured via a student attitudinal survey (Likertscale) and completed prior
is especially true when the instructor has limited time to present a specific topic. In this paper, we describe the in-class use of a demonstration using real-time DSP to implement a basic adaptive filter for noise cancellation, utilizing newly-available DSP hard- ware from Texas Instruments. We provide a description of the new hardware platform, how the demonstration was used, and the results from a short survey administered to the students regarding the demonstration.1 IntroductionAn ability to apply digital signal processing (DSP) concepts to a variety of situations has becomeone of the key skills that many employers expect of new electrical and computer engineering(ECE) graduates. Many engineering educators
makes the program platform independent forthe students, solving the problem of not being able to use it on a Macintosh computer.The grading program is configured to check the email every two minutes, and grades all of thenew drawings that have arrived in that time frame. If the program does not recognize the subjectline as a problem for which it has a key, it sends an email to the student with the list of knownsolution files and the general grading program instructions. If the subject line is recognized,students then receive email feedback on their work consisting of a list of discrepancies betweentheir drawing and the answer key (Figure 1), and two jpg files containing pictures contrasting thetwo solutions (Figure 2).Figure 2A shows the
communities to be agents of change. Forexample, various communities in countries such as Egypt, Tunisia, and Libya are harnessing thepower of mobile technology and leveraging social media to maintain a voice in the midst ofpolitical oppression. Social media have been cited as the driving force of the uprising orrevolution of 2011, better known as the Arab Spring,1, 2, 3 in which many used blogs, Twitter, andFacebook to facilitate social activism, defuse disinformation, and effect change. Similarly, amore casual example is the use of mobile technology by fishermen, which decreased pricedispersion, eliminated waste, and enabled new modes of cooperation, through the sharing ofinformation regarding promising fishing grounds and rescue at sea.4, 5
Point presentations with embedded audio files.IntroductionIt is suspected that lecture delivery methods which incorporate more media would appeal to moretypes of learners. There are three basic types of learners:1. Visual, or those who think and learn in pictures2. Auditory, or those who learn by hearing3. Kinetic/Tactile, or those who learn by moving, touching, and doingHypermedia technology has been shown to have the potential to accommodate learners withdifferent needs through its rich environment1, suggesting that when more senses are used by adigital media, a greater variety of learners can be accommodated. By designing lectures whichincorporate more senses, it may be possible to relate to a larger percentage of the class via their
system was implemented for a physical system to reinforce concepts learnedin Mechatronics coursework. The controlled physical system was a rectilinear spring-mass-damper system, Model M210, from Educational Control Products (ECP)14. MATLAB fromMathworks13 aided the design of a discrete-time PID controller. National instruments LabVIEW Page 23.36.2was used to implement the control system and an FPGA based data acquisition hardware wasused to interface software controls and the physical system10,11. The physical system used forcontrol implementation is shown in Fig. 1. The model depicts a 3 degree-of freedom system inrectilinear motion consisting
needs 1-6. VLEs are used as supplements incourses or in the engineering curriculum as a whole to improve students’ understanding offundamental concepts, and increase student interest and performance.MatLab Marina, developed by the first author at Armstrong Atlantic State University(Armstrong) is a framework of virtual learning modules dedicated to the improvement of studentlearning of programming concepts using MATLAB. Currently the VLE consists of ten learningmodules with a total of 56 multimedia tutorials. Each learning module consists of a set ofmultimedia tutorials that present a balanced, dual approach to algorithm development andprogramming using MATLAB. A pilot study (Fall 2011 and Spring 2012) showed that thesetutorials have been used
and otherMatLab toolboxes students have used in previous courses and will use in the initial analyticaland numerical activities proposed in this study. Page 23.1396.4 Course Hardware:The MCU board proposed for this study is a Dragon 12 Plus 230 (Figure 1) runningCodeWarrior31 with a 16 bit, 24 MHz CPU, 256K Flash EEPROM, 12K RAM, serialcommunication, 10 bit A/D, timer channels, pulse width modulation (PWM), and discrete andinterrupt I/O. Input devices include eight dip switches, 4 momentary switches, [16 key] keypad,IR proximity sensor and photoresistor. Output devices include 2 16-digit LCDs, single-rowLEDs, 4-7 segment LEDs and a Piezo