Conference Session

Software and Programming

Collection

2016 ASEE Annual Conference & Exposition

Authors

Anurag Goswami, North Dakota State University; Gursimran Singh Walia, North Dakota State University

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Computers in Education

ofinspections in software industry (i.e. to save rework cost, effort, and time), academia should alsoprioritize training students with early quality assurance skills (i.e. inspections) during SDLC.Therefore, this research reports the results from a practical training experience to help studentsimprove their understanding of inspection which in turn, would improve their inspectionperformance. This paper presents results of an academic study on the effect of reflection(training) technique on thirteen graduate and twenty-six undergraduate students on theirinspection performance. The participants individually inspected two different requirementdocuments using fault-checklist method and recorded faults pre and post reflection. We analyzedthe impact of

Conference Session

COED: Issues Impacting Students Learning How to Program

Collection

2018 ASEE Annual Conference & Exposition

Authors

Mahnas Jean Mohammadi-Aragh, Mississippi State University; Phyllis J. Beck, Mississippi State University; Amy K. Barton, Mississippi State University; Donna Reese, Mississippi State University; Bryan A. Jones, Mississippi State University; Monika Jankun-Kelly, Mississippi State University

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Computers in Education

to make adjustments as needed. Specifically, students who effectively employ metacognitivestrategies, such as reflection and self-assessment, are more likely to master the problem solvingskills that are essential to programming success [3].Writing to learn (WTL) activities promote metacognition in any discipline. Based on the ideathat writing is a visual representation of thinking [4], WTL activities are usually short, low-stakes writing assignments that are designed to promote reflection, analysis, synthesis, anddeeper understanding of course material. When integrated into a problem-solving assignment,such as a programming lab, WTL prompts allow students to think about the choices they aremaking and the reasons for those choices. When

Conference Session

Innovative Use of Technology in K-12 Outreach

Collection

2016 ASEE Annual Conference & Exposition

Authors

Hugo Gomez, University of Texas - El Paso; Mike Thomas Pitcher, University of Texas - El Paso; Hector Erick Lugo Nevarez, University of Texas - El Paso; Pedro Arturo Espinoza, University of Texas - El Paso; Randy Hazael Anaya, University of Texas - El Paso; Oscar Antonio Perez, University of Texas - El Paso; Herminia Hemmitt, University of Texas - El Paso

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Computers in Education

. Through this progression they were able to master most if not all of the challengesand learning outcomes.In this paper we will look at some examples of sessions based on these learning blocks and wewill examine if the camp met the expectations of the campers based on pre- and post-activitiesfor particular learning blocks and the end of camp surveys. We will also look at their level ofengagement during activities as well as how formative assessment was built into the campthrough one of the self-reflection pieces that was part of the process.Materials and MethodsThe primary design strategies for our camp were based on the implementation of learning blocks,which were strongly focused on formative assessment strategies, Blooms Taxonomy

Conference Session

Computers in Education 7 - Modulus 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Ahmed Ashraf Butt, Purdue University at West Lafayette; Saira Anwar, University of Florida; Muhsin Menekse, Purdue University at West Lafayette

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Computers in Education

educational technology tools in STEM classrooms in the pastfew decades. Previous studies have discussed the impact of design, development, and use ofeducational technology tools on creating an interactive learning environment for students.However, in the realm of user experience, limited studies explored the context of technology andstudents’ experiences while interacting with educational technology tools, such as students’perceived ease of use. Accordingly, this work in progress study explores reflections of students’experience while interacting with the most commonly used education technology tools inpostsecondary classrooms. For this study, we recruited thirty undergraduate STEM students fromtwo midwestern educational institutes. Our primary

Conference Session

Technical Session 4: Modulus Topics 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ashwin Satyanarayana, New York City College of Technology; Karen Goodlad, New York City College of Technology, CUNY; Jennifer Sears, New York City College of Technology, CUNY; Philip Kreniske, Columbia University, The HIV Center; Mery F. Diaz, New York City College of Technology; Sandra Cheng, New York City College of Technology

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Computers in Education

critical thinking activities. LCs first cameto our institution, City Tech, through a Title V Grant in 2000 and were adopted by the college in2005. The academic performance of students participating in LCs at City Tech reflects nationaltrends. When compared to the general population at the College, students in LC earn higherGPAs, have higher retention rates, and demonstrate greater satisfaction.In order to complement the community-building efforts within learning community classrooms,we, a cohort of faculty leaders and administrators of City Tech’s First Year LearningCommunities, a program offered through the college’s Office of First Year Programs, developed“Our Stories” digital writing project which extends the student’s network beyond the

Conference Session

Online Teaching

Collection

2015 ASEE Annual Conference & Exposition

Authors

Susan L. Miertschin, University of Houston (CoT); Carole E. Goodson, University of Houston (CoT); Barbara Louise Stewart, University of Houston

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Diversity

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Computers in Education

have low TM scores than have strong TM scores.• Among older students (at least 31 years of age), more have strong TM scores than low TM scores. In other age categories, there appears to be a more nearly equal division between low and strong TM scores.• Among the students with the highest GPA, 66% have strong TM scores while 34% have low TM scores. Among students with the lowest GPA, 57% have strong TM scores while 43% have low TM scores. The unexpected direction of difference at the lower end of the GPA scale perhaps reflects a wider range of TM score values and/or the very small n for this GPA category.• Among students who are not employed and those who are employed part-time, higher proportions

Conference Session

The Best of Computers in Education

Collection

2018 ASEE Annual Conference & Exposition

Authors

David Reeping, Virginia Tech; John K. Estell, Ohio Northern University

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Diversity

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Computers in Education

coursework.ImplementationTheoretical Framework:The current version of the project was implemented as a cornerstone project (a term commonlyused to refer to a culminating first-year engineering design experience) in 2014 within the secondsemester Programming 2 course of Ohio Northern University’s first-year programmingsequence. To ground the project in a pedagogical framework, this section will outline thetheoretical underpinnings of the project design.As mentioned in the Introduction, the Kolb Cycle of Experiential Learning, illustrated inFigure 1, was used to help organize the series of cornerstone activities into a cyclic pattern ofexperiences and reflections. The cycle was augmented by Greenaway’s Active Reviewing Cycle,a model which provides a different way to examine

Conference Session

Software and Programming

Collection

2015 ASEE Annual Conference & Exposition

Authors

Krista M. Hill, University of Hartford; Ying Yu, University of Hartford

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Computers in Education

10.1was the last to include a graphical test bench generator tool. In the Fall 2013 semester weupgraded to ISE version 13.2 and discuss later how despite the introduction of test benches, our Page 26.1252.4students prefer the improved stability of the software.In this paper we consider the usefulness of our tutorial as a reference as well as pedagogy topicsrelated to test benches. In reviewing the literature, Colburn1, Hawkins3, and Kolb7 each outlinephases of the learning cycle model and suggest that experiential learning involves reflection toallow for accommodation of new knowledge. We feel that perhaps the lecture and homework canbe used as

Conference Session

Computers in Education 5 - Online and Distributed Learning 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Tiffanie R. Smith, Lincoln University; Susan Ellen Safford, Lincoln University; Chidera Iguwe; Mofoluwasho Akinlade

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Computers in Education

through the app andMain Menu were easy, and the same percentage were positive about the fit of the image on theirdevices and the app logo. All of the students felt that the process to create an account did not runsmoothly and the frustration with the initial encounter of the app was reflected in individualstudent comments. Almost 50% of respondents had at least one experience with the app crashing.Over 70% of the respondents described specific issues they encountered using the app and/ormade suggestions on ways to improve it. Some specific issues included some of the questions notloading and occasional navigational redirection.Learning Modes and ContentWith regards to the learning modes, 48% of the students thought that the Tutorial feature

Conference Session

Computers in Education 7 - Modulus 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Rahman Adekunle; John Kofi Eshirow Jr., University of Virginia; Jacob Lam Herring, University of Virginia; Sin Lin, University of Virginia; Rider W. Foley, University of Virginia

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Computers in Education

and rural-urban differentiation. The aim is to critically reflect upon the extent to which the CS4ALL:RPPis reaching children that lack educational opportunities within the field of computer scienceeducation. In the following section, prior work published within the Computers and Educationdirectorate, as well as other pertinent scholarship, is briefly summarized and connections to thisresearch are made clear. The methods of data collection, organization, and analysis are detailedin the next section. The results offer an initial cataloging and review of the projects and programsfunded by the Research-Practitioner Partnerships, which is funded by the NSF as part of theCS4ALL program. The discussion focuses on the opportunities for

Conference Session

Computer-Based Games and Animations in Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Jacob R Grohs, Virginia Tech; Darren K Maczka, Virginia Tech Department of Engineering Education; Michelle Soledad, Virginia Tech; Kiran Kelsey Bagalkotkar

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Computers in Education

successful performance onwell-structured problems is not a predictor of success on ill-structured problems becausefundamentally different reasoning skills are needed.7 While well-structured problems are oftensolved once an appropriate algorithm has been identified and used, solving ill-structured problemsinvolves skills such as argumentation and reflective design to robustly identify the problem itselfbefore considering potential solutions.9,10 Success in the setting and solving of ill-structuredproblems has been linked to metacognitive strategies,7,9 specific cognitive skills such asanalogical reasoning,11 and epistemological beliefs.12,13 Analogical reasoning is a higher orderthinking process whereby novel problems are interpreted as an amalgam of

Conference Session

Work-in-Progress Posters: Computers in Education Division Poster Session

Collection

2017 ASEE Annual Conference & Exposition

Authors

Darren K. Maczka, Virginia Tech; Jacob R. Grohs, Virginia Tech

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Diversity

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Computers in Education

shaping), it is especially relevant when makingdecisions regarding how to synthesize these results into practice. Any changes to assessment mustalways be accompanied with reflection about how changes might affect different people, inparticular those who have been historically disadvantaged. In short, we caution against rushing toFigure 1: Screenshot of ELAN during data analysis. The large pane contains the screen capturevideo, the smaller window shows the front facing camera of a member of the research team fordemonstration purposes. These two video streams, and the audio, are played in sync using theplayback controls below the video panes. Below that we see the audio waveform and customdefined tiers, ELAN’s term for a single analytic layer of

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Xiaobing Hou, Central Connecticut State University; Shuju Wu, Central Connecticut State University; Karen Coale Tracey, Central Connecticut State University

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Computers in Education

reflects the rapid growing IT industry and Page 26.1764.2covers a wide spectrum. The new program's laboratory is under continuous update to enhancestudent's hands-on experience with cutting-edge equipment. Similar to the curriculum design, thelaboratory development benefits significantly from industry help and donation.This paper presents the curriculum and laboratory upgrade. The paper is organized as follows.Firstly, the role of industry is introduced. Then based on the feedback from industry, the updatedNIT curriculum is presented, followed by the upgraded NIT laboratory. Finally, the paperconcludes with the future work.Collaboration With

Conference Session

Best of Computers in Education

Collection

2015 ASEE Annual Conference & Exposition

Authors

Raghavender Goud Yadagiri, NYU Polytechnic School of Engineering; Sai Prasanth Krishnamoorthy, NYU Polytechnic School of Engineering; Vikram Kapila, NYU Polytechnic School of Engineering

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Computers in Education

,24 among other attributes. Ithas been suggested19 that designers of learning environment draw inspiration from game designprinciples to engender active learning, reflection, collaboration, diverse learning opportunities,motivation, etc.As evidenced from the above, there exists a compelling opportunity to integrate the technologyof robotics and student interest in gaming to teach computer programming to K-12 students andto enhance their lateral creativity for creative problem solving.25,26 The idea of constructing andprogramming a physical robot makes the classroom come alive, allowing the students tounderstand that classroom math and science concepts are critical to solve real-world problems.Even as robot games are used to enrich students

Conference Session

Computing Technology Session 3

Collection

2017 ASEE Annual Conference & Exposition

Authors

Swaroop Joshi, The Ohio State University; Neelam Soundarajan, Ohio State University

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Computers in Education

public university in theMidwestern United States, participated in this study. 24 of them answered a post-activity ques-tionnaire which reflected, among other things, the demographic information. The respondentsconsisted of 83% CS majors and 17% non-majors. Three-fourths of the respondents were males.About 46% of them identified as Caucasians and an equal number were Asians, while 4% of therespondents were African-Americans and 8% Hispanics.3.2 ProceduresThe students of the course were given two assignments in the form of online-discussions on the twotools: (1) Piazza (http://piazza.com), a popular online-discussion forum used in thousandsof courses across the world, including CSE courses at this university, and (2) CONSIDER, the webapp we

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

John C Nesbit, Simon Fraser University; Li Liu, Simon Fraser University ; Qing Liu, Simon Fraser University; Olusola O Adesope, Washington State University-Pullman

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Computers in Education

assignments, asking questions, giving hints,evaluating responses, providing feedback, prompting reflection, providing comments that booststudent interest) and adapts or personalizes those functions by modeling students’ cognitive,motivational or emotional states. This definition distinguishes ITS from test-and-branch tutorial Page 26.1754.2systems which individualize instruction by matching a student’s most recent response againstpreprogrammed, question-specific targets. Complicating matters, there are sophisticatedcomputerized adaptive testing systems, not usually considered to be ITS, that use item responsetheory to model student ability as a

Conference Session

First Year Computing Topics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Vanessa Svihla, University of New Mexico; Woong Lim, University of New Mexico; Elizabeth Ellen Esterly, University of New Mexico; Irene A Lee, MIT; Melanie E Moses, Department of Computer Science, University of New Mexico; Paige Prescott, University of New Mexico; Tryphenia B. Peele-Eady Ph.D., University of New Mexico

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Computers in Education

conductstructured observations of in-class engagement.Our preliminary analysis suggests that building on the interests, experiences, and knowledge thatpotential CS majors bring with them to class, and connecting curricula to emerging issues cansupport the learning experiences of students traditionally underrepresented in CS. For example,in the extension of the week 2 module in which students programed agents to draw their names,students were asked to create a design to reflect something about themselves. Students drewspirals, sine waves and other geometric shapes; some students wrote their names in cursive (onewith step-by-step agent instructions, another creating curves from mathematical functions); manydrew intricate emblems or logos illustrating aspects

Conference Session

Mobile Devices and Apps

Collection

2015 ASEE Annual Conference & Exposition

Authors

Mohammadjafar Esmaeili, University of Dayton; Ali Eydgahi, Eastern Michigan University; Ilkhomjon Amanov, Eastern Michigan University

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Computers in Education

moderate positiverelationship between the variable of Ease of Use and Behavior. In other words, if students findthe usage of a smartphone is easy, they are more willing to use a smartphone in classroom. H7. There is a positive significant relationship between Usefulness and BehaviorThe perception of Ease of Use is another internal factor that reflects the individual willingness toadapt or perform a task if the person feels performing that specific task is easy. Table 13 presentsthe results of the correlation analysis between two factors of perceived Usefulness and Behavior. Correlations Usefulness Behavior Usefulness

Conference Session

Teaching and Advising Tools Using Computers and Smart Devices

Collection

2016 ASEE Annual Conference & Exposition

Authors

Susan L. Miertschin, University of Houston (CoT); Barbara Louise Stewart, University of Houston; Carole E. Goodson, University of Houston (CoT)

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Computers in Education

developing skills and understanding where the abilities and tools for learning gainedfrom various life stages (e.g., childhood) and various sources (e.g., schooling) provide a contextand resource for learning and performing in later life.8 Lifelong learning capability is seen whenan individual or group reflects on the current situation and resolves to address a problem, toshare an idea, or to do research and further study to gain a better understanding of the situation.Thus, lifelong learning happens serendipitously in the workplace, at home, and at play, as part ofdaily living.Some authors have written on the role of technology in lifelong learning. Idrus and Atansuggested that life-wide learning hinges on technology mediated communication

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Melissa Danforth, California State University, Bakersfield; Charles Lam, California State University, Bakersfield; Ronald Hughes, California State University, Bakersfield

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Computers in Education

Education MinorityScience and Engineering Improvement Program under Grant No. P120A140051. Any opinions,findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the U.S. Department of Education.References[1] US Census Bureau, 2016 Census Data for Kern County.[2] US Census Bureau, 2017 Estimated Census Data Nationwide.[3] California Department of Education, Data and Statistics website. Data for Kern High School District.[4] N. Gorgievski and et al., "Tablet PC: A Preliminary Report on a Tool for Teaching Calculus," The International Journal for Technology in Mathematics Education, vol. 12, no. 3, pp. 95-102, 2005.[5] C. Lysy, C. A. Romney, J. P. Paniagua

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Lulu Sun, Embry-Riddle Aeronautical Univ., Daytona Beach; Yan Tang, Embry-Riddle Aeronautical Univ., Daytona Beach

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Computers in Education

. Figure 1 and Figure 2 show snapshots of the concept test question and student responseson PollEverywhere.com from Graphical Communications, and Dynamics courses respectively.Figure 3 shows a snapshot of the open-ended question and student responses from ControlSystems. The lectures were punctuated by multiple-choice conceptual questions or open-endedquestions to test students’ understanding of the material. In the multiple-choice conceptualquestions, often the distracters (incorrect responses) reflect typical student misconceptions.These questions are good indicators of students’ conceptual understanding, especially infundamental courses. The open-ended questions provide the senior-level students an opportunityto improve their critical thinking

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

German Carro Fernandez P.E., Spanish University for Distance Education (UNED); Manuel Castro, Spanish University for Distance Education (UNED) ; Elio Sancristobal, Spanish University for Distance Education (UNED); Francisco Mur Perez, Spanish University for Distance Education (UNED)

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Computers in Education

conducted with teachers from different educational areas with different skills. Theresult was in any case a correct installation of laboratory testing; a robot arm; and the onlydifferences were reflected in a little more time in cases where teachers have less knowledge ofcomputer/electronics.Regarding the use of the system by the students, all of them accessed the system through alogin/password traditional login and they could manipulate and control the robotic or electricalequipment both as a group; leaded by the teacher, or individually in slots of 15 minutes ofduration or through a pre-booking system integrated into SiLaRR and that can be configured bythe administrator and managed using the software.To achieve the universalization of system we

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

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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

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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

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

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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

Conference Session

Software and Programming

Collection

2016 ASEE Annual Conference & Exposition

Authors

Suxia Cui, Prairie View A&M University; Yonghui Wang, Prairie View A&M University; Lin Li, Prairie View A&M University; Xiaobo Peng, Prairie View A&M University; Bugrahan Yalvac, Texas A&M University

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Computers in Education

project is supported in part by National Science Foundation award # 1229744. The HPCcluster is funded by NSF MRI project with award # 1332566. The evidence based teachingmethod is supported by Department of Education award # P120A140064. Opinions, findings,and conclusions or recommendations expressed in this material are those of the authors and donot necessarily reflect the views of the National Science Foundation and Department ofEducation.Bibliography[1] P. S. Pacheco, "An Introduction to Parallel Programming," Morgan Kaufman, ISBN: 978-0-12-374260-5.[2] D.A. Bader and R. Pennington, ``Cluster Computing: Applications,'' The International Journal of High Performance Computing, 15(2):181-185, May 2001.[3] Retrieved from http://www.top500.org

Conference Session

Innovative Teaching

Collection

2016 ASEE Annual Conference & Exposition

Authors

David J. Frank, The Ohio State University; Kevin J. Witt, The Ohio State University; Chris Hartle; Jacob J. Enders, The Ohio State University; Veronica Beiring, The Ohio State University; Richard J. Freuler, The Ohio State University

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Computers in Education

losingcommunication with the RPS system.Beyond the level of accuracy provided, the system does face other limitations. Reflected lightand glare inhibit QR code detection when said glare occurs adjacent to the QR code itself.Detection is also inhibited when QR codes are not perpendicular to the camera. The system canhandle most skewing of QR codes less than 20°, however larger angles result in loss of detectionwhile moving and severe angles can prevent stationary QR codes from being detected at all.CostThe cost of the system for support of one course was approximately $6,000. This estimateincluded the 8020 aluminum structure, the cost of the LabVIEW and NI vision software, thecomputer, and the electronics of the system. The effective cost of the system for

Conference Session

General Technical Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Michael Geoffrey Brown, University of Michigan

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Computers in Education

of a bibliometricapproach to mapping a network of scholarship. Similarly, bibliometrics account for veryspecific behaviors in scholarly discourse- namely, who a scholar cites in their work andwho a scholar is cited by. Bibliometrics do not reflect the way that these citations areframed in a text, so works that connect two scholars through bibliographic coupling mayreceive different framings (e.g. positive in one article, negative in another) by differentauthors.Research questionsTo that end the following research questions are proposed: 1. What are the most commonly cited articles in the literature on blended learning in engineering education? 2. What network of publication venues forms the basis of the discourse on blended

Conference Session

Course Development / Curriculum Development

Collection

2015 ASEE Annual Conference & Exposition

Authors

Carlotta A. Berry, Rose-Hulman Institute of Technology

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Computers in Education

control. The labs with range sensors were themost challenging because they did not have a complete understanding of odometry and sensorerror. For example, specular reflection for sonar or lighting conditions for infrared. Thissometimes made getting the line following, robot following, and obstacle detection to workcorrectly a bit frustrating. There were also some challenges with the robot marco polo and robotcommunication for similar reasons. One solution we found to make the robot communicationmore accurate was the addition of electrical tape on the sensor to narrow the field of view.Although many of the students had never written a technical memo/report before, reviewedtechnical literature, or written a discussion or annotated bibliography

Conference Session

Innovative Use of Technology II

Collection

2015 ASEE Annual Conference & Exposition

Authors

Peter Jamieson, Miami University; Jeff Eaton, Miami University

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Computers in Education

more similar, and for the GraphletMatch metric the value willmove upwards towards 1 where 0 reflects no matching.From this figure, it appears that our new metric has a similar behavior to RGF-distance. As notedin our previous work 2 , in many cases student’s seem to be performing better after exam I thenexam II. We have no reason why this is the case, but we are performing additional experiments tosee if we can determine why this is happening. Broadly, it appears that the GraphletMatch metricis as good as RGF-distance with the added benefit of being a true matching of graphlets asopposed to RGF-distance’s measure of approximate structure.Figure 6 shows a similar comparison as previous but with the GranularSimilarity metric and thenew match