Conference Session

Web-Based Education

Collection

2007 Annual Conference & Exposition

Authors

Ahmed Abu-Hajar, San Francisco State University; Michael Holden, San Francisco State University

Tagged Divisions

Computers in Education

. Question Three showed very interesting results. Moststudents believed that CBVC do not replace the actual classroom. We believe that the lack ofconfidence in seeking knowledge among students especially at lower division courses reflects theneed for instructor. More interestingly, 20% of the students believe that CBVC may completelyreplace actual classrooms. Questions Four and Question Five showed very interesting results. Inboth questions, the majority of the students believed animation and well organized lecture notesare affective. However, there is reverse correlation between the two. About 50% of the studentswho selected Strongly Agree in Question Four they selected Agree on Question Five and viceversa. We argue that animation is affective to

Conference Session

Computer Education Management Tools

Collection

2007 Annual Conference & Exposition

Authors

Phil Rawles, Purdue University

Tagged Divisions

Computers in Education

to be more petty and capricious and should be given less Page 12.1044.4leverage via a lower percentage.As has already been discussed, work in a student group is rarely evenly split among themembership; one or two students will often be responsible for the majority of the group’ssuccess. This can be reflected in a peer evaluation system by allowing students to award extrapoints beyond the base percentage to an outstanding peer. This is best achieved by viewing thepeer evaluation as a zero sum operation. The sum of points awarded cannot exceed the numberof points available (x points for each member of the group). In this approach students can

Conference Session

Computer Education Management Tools II

Collection

2008 Annual Conference & Exposition

Authors

Roger Hadgraft, The University of Melbourne

Tagged Divisions

Computers in Education

: Figure 2 – Example of student work planning and scheduling toolStudents and staff will keep reflective logbooks to track their performance and theperformance of the system. That is, they will take a research approach to teaching andlearning – Action Research 29. What can we be doing better? Since this is now a resource-based approach rather than a person-based approach, it is a system easier to improve bybuying or developing better resources, most of which will be online.ConclusionWe now have 20 years experience in project-based learning and computer-assisted learning.However, we have made little progress in properly integrating these two strategies. Nor havewe made much progress in successfully pooling our resources so that our teaching is

Conference Session

Embedded Computing

Collection

2008 Annual Conference & Exposition

Authors

Jeff Wiegley, California State University-Northridge

Tagged Divisions

Computers in Education

spenda good amount of time trying to create more sophisticated software to compensatefor the drift in the platforms position or to provide rudimentary dead-reckoning.The optical sensors are particularly troublesome because they operating on a short-distance reflective infrared design that is prone to picking up lines between tiles,dirt or scuff marks on the sources.Students have shown remarkable self-motivation and differentiation from their col-league’s teams to provide creative solutions to their problems. using optical sensorsin conjunction with printed code wheels to provide direct feedback on the motorpositions is one example.Stepper Motor ControlSome advantages to the Handyboard control include high current (2 Amp) H-bridgecircuit and

Conference Session

Embedded Computing

Collection

2008 Annual Conference & Exposition

Authors

Alejandra J. Magana; Sean Brophy, Purdue University; George Bodner, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

. Page 13.1005.8An indicator of students’ perception of the above mentioned features was identified byasking them whether they consider nanoHUB as easy to use. Students respondedpositively by indicating with a 3.2 average score that nanoHUB is easy to use.Instructor A and instructor B seem to incorporate the simulation tools in an efficient way.Efficient in the sense that students are able to apply their knowledge to solve practicalsituations close related to students’ areas of interest, as well as efficient in the sense thatthey provide to their students opportunities to reinforce concepts learned in class withhomework assignments that allow students multiple opportunities to practice,comparison, and reflection. Regarding to the tool, nanoHUB

Conference Session

Educational Software

Collection

2008 Annual Conference & Exposition

Authors

Mark Hopkins, Rochester Institute of Technology

Tagged Divisions

Computers in Education

well beyond the half-sample frequency, and on the lower half of the unit-circle.The periodicity of the D-T magnitude plot is somewhat disguised by the fact that the frequency-axis is log-scaled, but the point clearly lies on the magnitude curve above the 50Hz "reflection". Figure 16. Selection of a frequency beyond the half-sample-rate frequency.4. ConclusionIn order to create plots "on-the-fly" at the lectern, ultimately, program instructions must beentered into a computer. Although applications such as Matlab® have made plot creation fairlyeasy, it is nonetheless challenging to quickly create and format plots in such a way that they areeasily readable in a classroom, and also easily and clearly demonstrate important points of

Conference Session

Computational Tools and Simulation II

Collection

2009 Annual Conference & Exposition

Authors

Trent McDonald, West Inc.; David Mukai, University of Wyoming

Tagged Divisions

Computers in Education

. Page 14.912.3ApplicationsIn this section, we expand discussion of the two applications mentioned above,confidence interval construction and hypothesis testing, and give some examples.Confidence IntervalsConfidence intervals of any statistic can be computed by generating a largenumber of pseudo samples by bootstrapping. The statistic in question should becomputed on all the pseudo samples, plus the original sample. A confidenceinterval is then the appropriate percentiles of the list of computed statistics. Forexample, to construct a 95% interval for the mean of a population, we generate999 pseudo samples by bootstrapping. Including the original sample, we have1000 means, the variance of which should reflect the variance of the originalmean

Conference Session

Software and Hardware for Educators III

Collection

2009 Annual Conference & Exposition

Authors

Mark Bannatyne, Indiana University-Purdue University, Indianapolis; Dan Baldwin, Indiana University-Purdue University, Indianapolis; Kevin Marshall, Indiana University-Purdue University, Indianapolis

Tagged Divisions

Computers in Education

students.Additionally, there was an effort to reduce the cost of required software, purchased by thestudents for their coursework. It was discovered that depending on the sequence of offeredcourses, some software needs could be kept to a minimum, thereby creating an added financialbenefit. Therefore the first two years of curriculum were aligned, where possible, to coincidewith a cost effective software bundle. For incoming freshmen, this management of coursestructure, software concerns and library benefits assisted in considerable financial savings.ProgressPositiveIn the current and initial year of implementation, the laptop program has fostered quite favorableresults. Student morale, reflected in course evaluations where laptop instruction occurred

Conference Session

Software and Hardware for Educators III

Collection

2009 Annual Conference & Exposition

Authors

Carole Goodson, University of Houston; Susan Miertschin, University of Houston; Barbara Stewart, University of Houston; Marcella Norwood, University of Houston; Luces Faulkenberry

Tagged Divisions

Computers in Education

reflecting key course concepts was utilized togather data about how well students learned the key course concepts. The test items weredeveloped at a departmental level by faculty teaching the course and were reviewed by an expertpanel to verify their validity as a measure of student learning. Furthermore, faculty sought toensure that the items (i) represented seminal course concepts and (ii) were at an appropriate levelof difficulty for assessment of junior-level attainment of conceptsThe items were administered at the end of the semester, as a component of the last course examin all sections of each course, regardless of format. Thus, all enrolled students were required toanswer the items, and student performance on the items was incorporated into

Conference Session

Computational Tools and Simulation III

Collection

2009 Annual Conference & Exposition

Authors

Lok PASUPULETI, Northern Illinois University; Omar Ghrayeb, Northern Illinois University; Hubert Ley, Argonne National Laboratory; Clifford Mirman, Northern Illinois University; Young Park, Argonne National Laboratory

Tagged Divisions

Computers in Education

keep up with rapid changing requirements.TRANSIMS generates ‘normal day’ model which is valid only in statistical sense. To be used asan operation planning tool, it is necessary to adjust the traffic model in real-time to reflect theactual traffic situations based on roadside traffic monitoring sensors and other online data. SinceTRANSIMS model involves extensive iteration process and complex network, modelmodification requires long computing time.The Graduate students of NIU under the guidance of ANL Researchers are working to blend theexternal real time data into the TRANSIMS software to predict accurate traffic conditions. Aftermaking an analysis of the TRANSIMS model it was established that modifying the link delaytable is the best way to

Conference Session

Embedded Computing

Collection

2009 Annual Conference & Exposition

Authors

Christopher Korpela, Department of Electrical Engineering and Computer Science; Robert McTasney, Department of Electrical Engineering and Computer Science

Tagged Divisions

Computers in Education

integrated this design into alaboratory exercise in our Advanced Computer Architecture course. We further demonstrate thatthe practical implementation of this exercise fully compliments and supports the theoreticalconcepts covered in our course. As the computer industry has shifted towards multicore designs,it becomes imperative to introduce these systems early in an electrical engineering education.While the CAD tools have become easier to use, these types of projects require a significantamount of knowledge in VHDL design, C programming, FPGAs, and Integrated DevelopmentEnvironments. We recommend that only senior-level undergraduate students and above engagein multiprocessor design.The views expressed are those of the authors and do not reflect

Conference Session

Computed Simulation and Animation

Collection

2006 Annual Conference & Exposition

Authors

Michael Maixner, U.S. Air Force Academy

Tagged Divisions

Computers in Education

Aeronautics at the UnitedStates Air Force Academy for his assistance in explaining various aspects of the Thermal FluidsToolbox during the author’s work. Many faculty at the Academy graciously agreed to review andcomment on an early draft of this manuscript and on preliminary versions of the variousspreadsheets. As always, feedback from cadets in the thermal fluids systems engineering coursesat the Academy was essential in the grooming of the various worksheets.DisclaimerThe views expressed are those of the author and do not reflect the official policy or position ofthe U.S. Air Force, Department of Defense or the U.S. Government.References1Caretto, L, McDaniel, D., and Mincer, T., Spreadsheet Calculations of Thermodynamic Properties, 2005 ASEEAnnual

Conference Session

Computers in Education Poster Session

Collection

2006 Annual Conference & Exposition

Authors

James Reising, University of Evansville

Tagged Divisions

Computers in Education

5 〈0〉 h Figure 11As in the earlier examples, changes made in the Rayleigh parameter b and/or the length n of thedata vector are reflected in the corresponding plot.Pairs of Random VariablesThe joint probability function is used in computing probabilities and expected values offunctions. Calculations involve the evaluation of double integrals. Figure 12 below shows a Page 11.913.7very simple example of a joint probability function and multiple integral

Conference Session

CoED: Embedded Systems and Robotics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Cameron H. G. Wright P.E., University of Wyoming; Thad B. Welch, Boise State University

Tagged Divisions

Computers in Education

challenges cameradesigners. For example, normal glass appropriate for visible wavelengths tends to reflect ratherthan pass IR wavelengths, and normal camera imaging sensors (CMOS or CCD) have IR-blockingfilters to prevent saturation.21–23 This latter point is required because the silicon-based sensor ar-rays respond strongly to what are called the near-IR wavelengths, as can be seen in Figure 2. Theseand other challenges have been overcome by camera designers, and IR cameras are now availablethat combine reasonable price with acceptable image measurement quality. 10 km 10 m 10 mm 10 µm 10 nm 10 pm wavelength

Conference Session

CoED: Computer Science Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Mahmoud K Quweider, University of Texas, Rio Grande Valley; Fitratullah Khan, The University of Texas Rio Grande Valley

Tagged Divisions

Computers in Education

step; the visualizationsdefined the pre-conditions before which a student can watch or run them, so that context is well-defined and not lost; and finally, the visualizations were organized to reflect the mentalorganization that the student is creating.The paper gives details about the visualization algorithms, the criteria for their selection andinclusion in the curriculum, the students’ immediate feedback, and survey results, taken by thestudents, that contrast the traditional ways of teaching CS and STEM concepts vs. the additionaluse of the developed visualizations. Our survey results shed light on whether visualizations makegood tools for teaching, and if they have an effect on the rate (how quickly) of learning.Conclusions and

Conference Session

Computing Technology Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Elif Miskioglu, Bucknell University; Kaela M Martin, Embry-Riddle Aeronautical University, Prescott

Tagged Divisions

Computers in Education

noted, students in the orbitalmechanics class are from two different tracks (aeronautics or astronautics) as well as differentclass years (juniors and seniors). While these students have shared aspects of their curricularexperiences, they have not taken all of the same core technical courses together. The separationscourse, on the other hand, is a class of chemical engineering juniors who have shared their entiredisciplinary coursework. Thus, the variability in their experiences with respect to instructor andchemical engineering curriculum is negligible. This may reflect why the chemical engineeringcourse showed no statistically significant results, and the relatively small variability in answersobserved. In fact, all students in the

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Yamuna Rajasekhar, zyBooks; Alex Daniel Edgcomb, Zybooks; Frank Vahid, University of California, Riverside

Tagged Divisions

Computers in Education

randomization.Figure 2: (a) Student shown timing diagram for inputs s and r, then enters output q. (b) Student'ssubmission is incorrect; activity shows correct values for q and explains how an SR latch works.Often, the students are comfortable with how gates work due to covering combinational circuitsbefore this topic, but the introduction of a ​latch​ (or storage) is different, and takes some practicebefore the students can master the concept. The numbers in Table 2 clearly reflect this. Asshown, the first-time wrong percentage is 74% for level 1, but drops to 17% for level 2.Similarly, the gave up percentage is 3.92% for level one but reduces to 0.21% for level 2.Table 2: Metrics for both levels are shown, indicating students tended to require a few

Conference Session

COED: IOT and Cybersecurity

Collection

2018 ASEE Annual Conference & Exposition

Authors

Alan Jones, Indiana University-Purdue University of Indianapolis; Michael Golub, Indiana University-Purdue University of Indianapolis

Tagged Divisions

Computers in Education

) coil, f) BNC, alligator and bananacables, g) HTC Vive Controller, h) capacitor on breadboard, i) hand replacement for controller.Figure 3 shows a close up of the oscilloscope, capacitor, and function generator to provide anexample of the detail viewable in the VR experience.Figure 3. Close-up of oscilloscope panel, capacitor/breadboard, and function generator panel.Not to scale. Figure 4 shows a screenshot of the second prototype experiment. This experiment is usedto investigate the tensile strength and stress-strain response of materials.Figure 4. Screenshot of the VRILE for investigating tensile strength of materials. a) tensiletesting machine, b) DAQ computer monitor, c) instructional tablet d) polymer specimen, e)reflective tape, f

Conference Session

First Year Computing Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Nebojsa I Jaksic P.E., Colorado State University, Pueblo; Boyan Li; Benjamin Maestas; Katheryn Michelle Rothermal

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

includes sections on previous work, curricular context, description of the robotichardware with associated integrated development environment (IDE), and educationalexperiences for the robot builders as well as the first-year students. The results of a shortquestionnaire are provided and analyzed and appropriate conclusions drawn.Previous WorkThe importance of laboratory experiences and projects in engineering education can be justifiedby various learning theories, e.g., “Kolb’s Experiential Learning Cycle.” According to Kolb1,regardless of the learning style, people learn best if they follow a cycle consisting of four steps(axes): experiencing (concrete experience), watching (reflective observation), thinking/modeling(abstract conceptualization

Conference Session

COED: Gamification and Introducing Students to Programming

Collection

2018 ASEE Annual Conference & Exposition

Authors

Tara N. Kimmey, Colorado STEM Academy; Cameron H. G. Wright P.E., University of Wyoming; Thad B. Welch, Boise State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Standards [6]. In particular, the standards for 4th and 5th grade studentswhich apply directly to this work are shown below.4-PS3-2. Make observations to provide evidence that energy can be transferred from place to place by sound, light, heat, and electric currents.4-PS3-3. Ask questions and predict outcomes about the changes in energy that occur when objects collide.4-PS4-1. Develop a model of waves to describe patterns in terms of amplitude and wavelength and that waves can cause objects to move.4-PS4-2. Develop a model to describe that light reflecting from objects and entering the eye allows objects to be seen.4-PS4-3. Generate and compare multiple solutions that use

Conference Session

Technical Session 5: Topics related to Engineering

Collection

2019 ASEE Annual Conference & Exposition

Authors

Krista M. Kecskemety, Ohio State University; Kadri Akinola Akanni Parris, Ohio State University; Nicholas Rees Sattele, Ohio State University

Tagged Divisions

Computers in Education

Autumn 2018, bothcontained the same question regarding the number of hours spent using the textbook. In Autumn2017, students were still using the paper textbook. However, students were asked the samequestion in Autumn 2018, after the implementation of the zyBooks e-bookAs seen in Table 3, student usage of the textbook increased by an average of roughly 30 minutesper week after the implementation of the use of the zyBooks e-book. Given the course averageremained relatively constant, as seen in Figure 4, even though students spent more time workingon their textbook, their grade did not reflect an obvious change. Table 3: Averages of Student Self-Reported Textbook Reading

Conference Session

Online, Hybrid, and other Virtual Learning Environments

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ernest M. Kim P.E., University of San Diego; Thomas F. Schubert Jr. P.E., University of San Diego; Cyd Burrows, University of San Diego; Shahra Meshkaty, University of San Diego

Tagged Divisions

Computers in Education

course.Student perceptions of the use of iPads in the classroom and student attitudes and studentaccomplishments are considered with similar results as reported by Goyings, Klosky, andCrawford [1], and Zhu [2].II. Classroom Instructional MethodsStudents who are in a traditional lecture setting often are so busy trying to capture what is beingsaid at the instant the speaker says it that they do not have the time to reflect upon what is beingsaid. Therefore, they may miss significant topical points because they are trying to transcribe theinstructor’s words. [3][4]. In a flipped classroom, the class-lecture time is replaced by in-classactivities. Lectures and other learning material are delivered so that students are able to view andimmerse themselves in

Conference Session

Innovative Teaching

Collection

2016 ASEE Annual Conference & Exposition

Authors

Lawrence O Kehinde P.E., Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria; Obasegun Tekena Ayodele, IEEE Educational Activities; Olubiyi Olaoluwa Akintade, Department of Electronic & Electrical Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria.; KAZEEM Olaide Olawale, Obafemi Awolowo University, Ile-Ife, Nigeria

Tagged Divisions

Computers in Education

notbeen done or reported. This work, therefore, focuses on a teaching model that will help studentsexperiment with IoT ideas through some laboratory sessions. Figure 2: Schematic diagram of the setupA number of learning models with corresponding teaching styles have been identified inengineering education [9]. These learning models include;  Sensing and intuitive learning  Visual and auditory learning  Inductive and deductive learning  Active and reflective learning  Sequential and global learning Figure 3: Example of device-to-gateway communication model [3]This work uses the sequential teaching approach to draft quasi-experiments for teaching basicIoT concepts. The aim is to teach IoT in a

Conference Session

Virtual Instruction and Collaboration

Collection

2015 ASEE Annual Conference & Exposition

Authors

Pilar Pazos, Old Dominion University; Nina Magpili

Tagged Divisions

Computers in Education

supporting team processes. The platform is informed by foundational knowledge onteam effectiveness from the industrial and organization psychology field and by social-constructivist learning theory.Theoretical FoundationWorking in teams requires that students learn how to interact with each other, share and processinformation in a collaborative learning environment. There is vast evidence indicating thebenefits of collaborative learning grounded in social-constructivist learning theory10. Socialconstructivist learning theory suggests that learning is largely a social process and that deepunderstanding develops through collaboration and engagement with others11,12. Collaborativework largely reflects the actual environment in engineering-intensive

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Walter W. Schilling Jr., Milwaukee School of Engineering; John K. Estell, Ohio Northern University; Khalid S. Al-Olimat P.E., Ohio Northern University

Tagged Divisions

Computers in Education

saying “I don’t buy it, its not going to work.” However, aside from the negative comments he did help with paper formatting and information that needed to be included. As a group it was agreed that there shouldn't be just be one “catch-all” professional that helps all the groups because although he may be intelligent in a couple specific fields he does not necessarily have expertise to criticize our type of project. Instead, this should be done independently by each group to obtain a professional in the field more involved with their respective topics for better feedback. It is also recommended to not be a mandatory assignment because the opinions of an outside source should not reflect on us as a

Conference Session

Innovative Use of Technology I

Collection

2015 ASEE Annual Conference & Exposition

Authors

Rachel Louis Kajfez, Ohio State University; Krista M. Kecskemety, Ohio State University; Max Kross, Engineering Education Innovation Center

Tagged Divisions

Computers in Education

effectiveness of the notebook both in its paper andelectronic form. We recognize that there is the potential for respondents to give only positiveresponses to this type of survey as it may be seen as a reflection of themselves and their work.Specifically, there is the potential for students to report that a tool is useful even when it has Page 26.591.8detrimental effects. We believe the potential for this limitations exists both for the paper andelectronic notebooks reducing its effect in our findings related to comparison; however, it is alimitation that must be considered when examining the results for just the paper or just theelectronic

Conference Session

Course Development / Curriculum Development

Collection

2015 ASEE Annual Conference & Exposition

Authors

Mihaela Vorvoreanu, Purdue University, West Lafayette; Patrick E. Connolly, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

research; evaluation of design solutionslife-long learning project-based research; stretching to new platforms; developing habits for staying abreast of new information (e.g. reading professional blogs)communication skills technical writing; presentation; reports; data presentationcontent mastery and application project based instruction; reflection; design challenges, design critiques Page 26.1656.6technical competencies project based instruction; mentoring; prototyping

Conference Session

Best of Computers in Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cameron H. G. Wright P.E., University of Wyoming; Thad B. Welch III P.E., Boise State University; Michael G. Morrow, University of Wisconsin, Madison

Tagged Divisions

Computers in Education

. While the lens system may be able to image certain fine lines and sharp edges in the objectscene, much of this high frequency detail will never be recorded or show up on the monitor screen,due to the worse frequency response of the other MTFs. A realization of such limitations usuallyconstitutes an epiphany for the students.In addition to the Fourier optics and MTF theory approach that takes full advantage of the students’prior knowledge of linear systems theory, the course also includes an algebraic treatment of con-cepts such as aperture, sensor, and pixel size, depth of field, field of view, reflection, refraction, andso forth. Given this, the students obtain a very practical working knowledge of optical engineering(via a single course) that

Conference Session

Data Analysis and Assessment

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cinda Heeren, University of Illinois, Urbana-Champaign; Wade Fagen-Ulmschneider, University of Illinois, Urbana-Champaign

Tagged Divisions

Computers in Education

difficult programming course. The average queue length hovers around 5 Page 26.1296.4students during initial lab hours, but then doubles in each of the last two days of the assignmentFigure 2: Queue usage within a single assignment period.period, to ten and then twenty. The particulars of this example reflect lab availability and acourse policy that awards extra credit for starting early, but the concentrated use of the open labat then end of the window was consistent across assignments, courses, and semesters. In response to this data, one of the courses began to assign more staff to cover the latedate lab hours, but they consequently

Conference Session

Course Development / Curriculum Development

Collection

2015 ASEE Annual Conference & Exposition

Authors

Wade Fagen-Ulmschneider, University of Illinois, Urbana-Champaign; Cinda Heeren, University of Illinois, Urbana-Champaign; Geoffrey L. Herman, University of Illinois, Urbana-Champaign; Matthew West, University of Illinois, Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

rapidly increasing expectations forstudents’ competencies in computing that went beyond simply word processing andspreadsheets. In response, our “Introduction to Computing” course was reengineered during theSpring 2014 semester with a four-pronged vision: (1) modernizing the curriculum by moving thecourse from a tools-based course to a computing-based course, (2) elevating student engagement,(3) scaling the course for growth, and (4) making the course relevant and accessible to anystudent, regardless of background or technology. Toward modernizing the curriculum, the course met with relevant stakeholders acrosscampus, surveyed top courses from other universities, and reflected on best practices from withinthe community of practice on