Conference Session

Computers in Education Division - General Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jacob P. Moore, Virginia Tech; Michel Paul Pascale; Christopher B. Williams, Virginia Tech; Chris North, Virginia Tech

Tagged Divisions

Computers in Education

Paper ID #7305Translating Educational Theory Into Educational Software: A Case Study ofthe Adaptive Map ProjectJacob P. Moore, Virginia Tech Jacob Moore is a PhD Candidate in the Department of Engineering Education at Virginia Tech.Michel Paul Pascale Michel Pascale is a student at Virginia Polytechnic Institute and State University, and was one of the developers of the Adaptive Map project.Dr. Christopher B. Williams, Virginia TechChris North, Virginia Tech Page 23.1270.1 c American Society

Conference Session

Computer Hardware and Simulation

Collection

2013 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

1993 at the U.S. Air Force Academy. He currently serves as associate department head, Department of Electrical and Computer Engineering, at the University of Wyoming.Dr. Thad B. Welch, Boise State University Dr. Thad B. Welch, P.E. received the B.E.E., M.S.E.E., E.E., and Ph.D. degrees from the Georgia Institute of Technology, Naval Postgraduate School, Naval Postgraduate School, and the University of Colorado in 1979, 1989, 1989, and 1997, respectively. He was commissioned in the U.S. Navy in 1979 and has been assigned to three submarines and a submarine repair tender. He has deployed in the Atlantic Ocean, Mediterranean Sea, and Arctic Ocean. From 1994 to 1997 he was an instructor and assistant professor teaching

Conference Session

Best of Computer in Education Division

Collection

2013 ASEE Annual Conference & Exposition

Authors

Mahnas Jean Mohammadi-Aragh, Virginia Tech; Christopher B. Williams, Virginia Tech

Tagged Divisions

Computers in Education

Department. Her current research interests focus on technology in engineering education, human com- puter interaction, educational data mining, and scientific visualization.Dr. Christopher B. Williams, Virginia Tech Professor Dr. Chris Williams is an assistant professor with a joint appointment with the Department of Mechanical Engineering and the Department of Engineering Education at Virginia Tech. He is the director of the Design, Research, and Education for Additive Manufacturing Systems (DREAMS) Laboratory and the co-director of Virginia Tech’s Center for Innovation-based Manufacturing. His joint appointment reflects his diverse research interests in Additive Manufacturing (3D Printing), design methodology, and

Conference Session

Robots and K-12 Computer Applications

Collection

2013 ASEE Annual Conference & Exposition

Authors

Cheryl D. Seals, Auburn University; Earl B. Smith, Georgia Southern University

Tagged Divisions

Computers in Education

initiatives to improve CS education at all levels by a focused approach to increase the computing pipeline by getting students interested in STEM disciplines and future technology careers. One of these initiatives is the STARS Alliance (starsalliance.org) with programs in K-12 outreach, community service, student leadership and computing diversity research.Dr. Earl B. Smith, Georgia Southern University Dr. Earl B. Smith is a visiting assistant professor in Mechanical Engineering at Georgia Southern Univer- sity. He graduated with a bachelor’s in Mechanical Engineering from Georgia Tech, a master of science in Engineering from Prairie View A&M University, and a Ph.D. in Mechanical Engineering from Texas A&M

Conference Session

Computer Hardware and Simulation

Collection

2013 ASEE Annual Conference & Exposition

Authors

Biswanath Samanta, Georgia Southern University; Jonathan Gregory Turner, Georgia Southern University

Tagged Divisions

Computers in Education

Page 23.36.6FPGA VIThe other component to be implemented in software was the FPGA based data acquisition.Quadrature encoders were used to get cart position data. The logic used to collect encoder datafrom the VI running on the RIO card is presented in the block diagram of Fig. 5 and the entireblock diagram of the VI implemented on the FPGA is provided in Fig. 6.Figure 5: FPGA VI block diagram part for reading quadrature encoder dataThe block diagram in Fig. 5 reads current encoder register outputs, compares it to a previousvalue for each register to update encoder shaft direction and increment or decrement the positionvalue. The FPGA VI exists inside a while loop that runs continuously while the host PC VI isrunning. The encoder A and B signal

Conference Session

Computers in Education Division - General Technical Session 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Charles H. Forsberg, Hofstra University

Tagged Divisions

Computers in Education

to lack of a control group, this belief cannot be confirmed by the current study.Bibliography1. B. Ferri and J. Auerbach, Work in Progress - A Program to Incorporate Portable Labs Into Lecture- Based Electrical and Computer Engineering Courses, 40th ASEE/IEEE Frontiers in Education Conference, October 27 - 30, 2010, Washington, DC.2. A. Niemi, In-Class Circuits: Using Passive Components to Create Active Learning, Proceedings of the 2008 ASEE Annual Conference, June 22-25, 2008, Pittsburgh, PA.3. C. H. Forsberg, A Demonstration Unit to Enhance Heat Transfer Lectures on Natural and Forced Convection, Proceedings of the 2003 ASEE Annual Conference, June 22-25, 2003, Nashville, TN.4. A. Gilat, Matlab - An

Conference Session

Online Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Emily A Hildebrand, Arizona State University ; Jennifer M Bekki, Arizona State University; Bianca L. Bernstein, Arizona State University; Caroline J Harrison, Arizona State University

Tagged Divisions

Computers in Education

Engineering.Cambridge, MA: Academic Press Professional.10. Quintana, C., Krajcik, J., & Soloway, E. (2003). A Framework for Understanding the Development of Educational Software. In Jacko, J.A., & Sears, A. (Eds.), The Human-Computer Interaction Handbook, (823- 834). Mahwah, NJ: Lawrence Erlbaum Associates.11. Nielsen, J. (1992). Finding Usability Problems through Heursitic Evaluation. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 373-380.12. Nielsen, J. (1993). Usability Engineering.Cambridge, MA: Academic Press Professional.13. Bernstein, B. L. (2011). Managing barriers and building supports in science and engineering doctoral programs: Conceptual underpinnings for a new online training program for women

Conference Session

Computer Based Grading and Learning Styles

Collection

2013 ASEE Annual Conference & Exposition

Authors

Dan Cernusca, Missouri University of Science & Technology; Clayton E Price, Missouri University of Science and Technology

Tagged Divisions

Computers in Education

introduction to programming with C++. Theimplemented strategy blended pre-recorded online lectures and homework assignments, with oneweekly optional face-to-face meeting. The same instructor taught both the blended instructionand the traditional face-to-face lecture. The focus of this study was twofold: a) determinepotential negative impact of the blended format, and b) identify the major predictors of finalperformance in this course. A one-way ANOVA analysis indicated no statistically significantdifferences in final course score between the control and the treatment groups. The analysis of aproposed path analysis model showed that self-efficacy, perceived engagement and perceiveddifficulty are significant predictors of students’ final performance in

Conference Session

Development of Computational Tools

Collection

2013 ASEE Annual Conference & Exposition

Authors

Biswanath Samanta, Georgia Southern University; Yong Zhu, Department of Mechanical Engineering, Georgia Southern University, Statesboro, GA 30458

Tagged Divisions

Computers in Education

Appendix A, Lab 1: Basic measurement and data presentation Notes Week 3 Basic electrical circuits and instrumentation, Quiz 1 Chap 2, 4 Lab 2: Basic circuits and instrumentation Week 4 Analog Signal Processing using Operational Amplifiers Chap 5 Lab 3: Basic operational amplifier circuits –Part A Week 5 Sensors, Quiz 2 Lab 4: Operational amplifier applications- Integrator, Chap 9 Differentiator- Part B Week 6 Sensors

Conference Session

Online Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Petronella A James-Okeke, Morgan State University; Craig J. Scott, Morgan State University; Yacob Astatke, Morgan State University; Jumoke Oluwakemi Ladeji-Osias, Morgan State University; LaDawn E. Partlow M. Eng., Morgan State University; Kofi Nyarko, Morgan State University

Tagged Divisions

Computers in Education

of mathematical and scientific statements (M, S) 4. Uses fundamental engineering principles to solve engineering related problems (E) b) an ability to design and conduct experiments as well as analyze and interpret results 1. Develops a hypothesis and a plan (experimental method) to evaluate it using engineering principles and practice. (D) 2. Collects data using software and electronic test and measurement equipment (C) 3. Analyzes results and components of the design using engineering models. (A) 4. Explains experimental results as they relate to theoretical results. (I) Page 23.88.5Creating

Conference Session

Development of Computational Tools

Collection

2013 ASEE Annual Conference & Exposition

Authors

Yizhe Chang, Stevens Institute of Technology; El-Sayed S. Aziz, Stevens Institute of Technology (SES); Sven K. Esche, Stevens Institute of Technology; Constantin Chassapis, Stevens Institute of Technology (SES)

Tagged Divisions

Computers in Education

where the pair is connected and movable (e.g. shaft-bearing joints, slider-guideway joints, gear joints, etc.). b. Fixed connection where all relative degrees of freedom are suppressed (e.g. bolted or welded connections).With these guidelines, a virtual assembly environment can be built. However, there are stillmany concepts to be clarified, such as features, feature associations, hierarchical assemblystructure, assembly sequence modeling and how to integrate these concepts with scripted entities(SENTs) as mentioned in Section 2.In order to illustrate these issues, a planetary gear train is described below. Because planetarygear trains are characterized by high power transmission efficiency and low space requirements,they are widely

Conference Session

Computers and Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Khalid W Khawaja, American University in Dubai

Tagged Divisions

Computers in Education

be the co-domain B. We can then make the following definition:Function Course Assessment: An assessment of a course where all the course assessmentshave been mapped to a course learning outcome and none of the assessed learning outcomesis one-to-many or many-to-many (They are either one-to-one or many-to-one)This definition deals with assessment focus. In the case of a Function assessment, eachassessment we made in this course is uniquely mapped to one and only one learning outcomesignaling highly focused assessment exercises.Next, we will use the definition of the “onto” functions to make the following definition:Onto Course Assessment: An assessment of a course where all the learning outcomes of thecourse have been individually assessed by

Conference Session

Computer Hardware and Simulation

Collection

2013 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

lecture, a historical perspective byoutlining some prior logic families. Appendix A provides a summary of the studentquestionnaire results and Appendix B outlines all the labs performed.HierarchyThe notion of medium scale integration (MSI) logic is essentially an application of hierarchy inchip design. Hierarchy is a technique for describing logic circuits that involves conceptuallayers. Each box in Figure 1 is a subsystem, like a chip, and with a CPLD is one instance of adescription. Box A could represent an MSI type component such as a counter, which involvessimpler, lower-level components. We use the top level to describe how level-1 modules areinterconnected, and so on. Figure 1: Layers of hierarchyOur CAD

Conference Session

Computers in Education Division - General Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Kellie Grasman, Missouri University of Science & Technology; Dan Cernusca, Missouri University of Science & Technology; Suzanna Long, Missouri University of Science & Technology

Tagged Divisions

Computers in Education

Paper ID #6929Student Perceptions of Online Resources as Predictors of Performance in aHybrid Classroom: Exploratory Findings from a Large Engineering Eco-nomics CourseMs. Kellie Grasman, Missouri University of Science & Technology Kellie Grasman serves as an instructor in Engineering Management and Systems Engineering at Missouri University of Science and Technology. She holds graduate degrees in engineering and business admin- istration from the University of Michigan, and began teaching in 2001 after spending several years in industry positions. She was named the 2011-2012 Robert B. Koplar Professor of Engineering Manage

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Priya T Goeser, Armstrong Atlantic State University; Wayne Johnson, Armstrong Atlantic State University; Shonda L Bernadin, Georgia Southern University; Delana A. Gajdosik-Nivens, Armstrong Atlantic State University

Tagged Divisions

Computers in Education

MatLab Marina vs. those that did not. The pre and posttest scores were analyzed using average normalized gains15 .Figure 3 shows the average normalized gains for the three sections (labeled as A, B and C) at Page 23.1395.5Armstrong that incorporated MatLab Marina (MM) in the curriculum. It can clearly be observedthat the learning gains are significantly higher in the concepts that include an extensive set of ASEE 2013 Annual Conferencetutorials in MatLab Marina. Concepts such as vector evaluation, curvefitting and structures haveyet to be developed in the VLE

Conference Session

Computer Hardware and Simulation

Collection

2013 ASEE Annual Conference & Exposition

Authors

Man Wang, Michigan Technological University; Jun Tao, Michigan Technological University; Chaoli Wang, Michigan Technological University; Ching-Kuang Shene, Michigan Technological University; Seung Hyun Kim, Michigan Technological University

Tagged Divisions

Computers in Education

bilinearly interpolating vectors usingthe Runge-Kutta fourth order method.Figure 2. Three visual forms of field-line representation: line, tube, and animated arrow.Line Drawing. Figure 2 shows an example streamline with all three forms of visualrepresentation we provide for field-lines: line, tube, and animated arrow. The first two formsshow the entire streamline statically, while the last one dynamically conveys a vector direction aswell as its magnitude along the streamline in an animated fashion. We utilize OpenGL functionsfor all the drawing. (a) (b)Figure 3. (a) 2D texture for tube drawing where the blue dashed line indicates a segment of thefield-line. (b) Maintaining the constant edge width

Conference Session

Development of Computational Tools

Collection

2013 ASEE Annual Conference & Exposition

Authors

Oyebisi Samuel Oyediran; Olawale Babatunde Akinwale, Dept of Electronic and Electrical Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria.; Kayode Peter Ayodele, Obafemi Awolowo University, Nigeria; Lawrence O Kehinde P.E., Obafemi Awolowo University, Ile-Ife, Osun State

Tagged Divisions

Computers in Education

Paper ID #6342Development of a Remote Operational Amplifier iLab Using Android-basedMobile PlatformMr. Oyebisi Samuel OyediranMr. Olawale Babatunde Akinwale, Dept of Electronic and Electrical Engineering, Obafemi Awolowo Univer-sity, Ile-Ife, Nigeria. Olawale B. Akinwale earned his first degree at the Department of Electronic and Electrical Engineering, Obafemi Awolowo University, Ile-Ife, finishing with first class honors in 2004. He obtained his second degree from the same department in 2011. He is a lecturer at the Obafemi Awolowo University Ile-Ife in Electronic and Electrical Engineering, majoring in Instrumentation. He

Conference Session

Development of Computational Tools

Collection

2013 ASEE Annual Conference & Exposition

Authors

Gregory K Watkins P.E., California State University, Chico

Tagged Divisions

Computers in Education

• Significant Figures • Accuracy of solution • General guidelines for reporting resultsA final change to the course is the addition of a final project, an open ended FEA modelingassignment. Students select an object and/or application of their choosing, then build themodels, run appropriate analyses, and document the results. Key competencies expected fromthe projects include simplifying models for analysis, applying realistic loads and boundaryconditions, choosing relevant results in post processing, and reporting appropriate conclusionsfrom the analysis. The specific rubric used to grade the final reports is included in Appendix A.Specific details of topics covered throughout the course are presented in Appendix B

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Neelam Soundarajan, Ohio State University

Tagged Divisions

Computers in Education

Paper ID #7820Work-in-progress: A novel approach to collaborative learning in engineeringprogramsDr. Neelam Soundarajan, Ohio State University Dr. Soundarajan is an associate professor in the Computer Science and Engineering Department at Ohio State. His interests include software engineering and engineering education. Page 23.1391.1 c American Society for Engineering Education, 2013 Work-in-Progress: A Novel Approach to Collaborative Learning in Engineering

Conference Session

Computers in Education Division - General Technical Session 2

Collection

2013 ASEE Annual Conference & Exposition

Authors

Oscar Antonio Perez, University of Texas at El Paso; Mike Thomas Pitcher, University of Texas, El Paso; Pedro Arturo Espinoza, University of Texas, El Paso; Hugo Gomez, University of Texas, El Paso; Virgilio Gonzalez, University of Texas, El Paso; Herminia Hemmitt, University of Texas at El Paso; Randy Hazael Anaya, University of Texas, El Paso; Peter Golding, University of Texas, El Paso

Tagged Divisions

Computers in Education

to teach the four classes without the iPad for the first sixweeks of the course and then compare their performance. This was done to generate a baseline forthe differences in comprehension of content between the classes. At this point, for simplicity, the2010 class where the iPad was not used will be referred to as “class A”, the class where the iPadwas used during 2010 will be referred to as “class B”, the class where the iPad was used during2011 will be referred to as “class C” and the class where the iPad was used during 2012 will bereferred to as “class D”. The same test was given to all the classes. As a precautionary measure toprevent students from passing-on exams from one year to the next, students were not allowed tokeep their exams

Conference Session

Computers in Education Division - General Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Danielle Marie Dowling, Tufts Center for Engineering Education and Outreach; Morgan M Hynes, Arizona State University

Tagged Divisions

Computers in Education

] says as the person goes up, [Group B] said that PE is going to increase and that the KE will decrease. [Writes PE increases and KE decreases on the left side of the half pipe in the middle.] So [Group B] said the opposite. I think they're the same up here [points at top of the half pipe], but this, they said the opposite up here [points at bottom and left side of half pipe]. One group said PE decreases as they go up; the other says PE will increase. Okay, so that’s a conflict we’ve got to work out.” Figure 4: A re-creation of Kraig’s sketch of Group F and Group B’s answers.Group F’s contribution is written in black; Group B’s, red.Kraig then had the

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Johne' M Parker, University of Kentucky; Stephen L. Canfield, Tennessee Technological University; Sheikh Khaled Ghafoor, Tennesse Technological University; Kassy Moy Lum

Tagged Divisions

Computers in Education

, VA Page 23.1396.12 [18] Clough, D. E., Chapra, S. C. and G. S. Huvard, 2001, “A Change in Approach to Engineering Computing for Freshmen, - Similar Directions at Three Dissimilar Institutions,” 2001 ASEE Annual Conference and Exposition, Jun 24-27, Albuquerque, NM.[19] M. H. Naraghi and B. Litkouhi, 2001, “An effective approach for teaching computer programming to freshman engineering students,” 2001 ASEE Annual Conference and Exposition, Jun 24-27, Albuquerque, NM.[20] Adamchik, V. and A. Gunawardena, 2005, “Adaptive book: Teaching and learning environment for programming education”, Proceedings ITCC 2005

Conference Session

Online Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Mihaela Vorvoreanu, Purdue University, West Lafayette; Geovon Andre Boisvenue, Purdue University; Francisco Javier Portela II; Anna Bao

Tagged Divisions

Computers in Education

:–– www.onlineengineeringeducation.com–joee_v3n1a1.pdf (2012).4.  McAfee, A. P. Enterprise 2.0: New collaborative tools for your organization's toughest challenges. (Harvard Business School Press, 2009).5.  Walther, J. B. et al.in A Networked Self: Identity, Community, and Culture on Social Network Sites (Papacharissi, Z.) (Taylor & Francis, 2011).6.  Goffman, E. The presentation of self in everyday life. (Anchor Books, Doubleday, 1959).7.  Gergen, K. J. Relational being: Beyond self and community. (Oxford University Press, USA, 2009).8.  Mead, G. H. The social self. The Journal of Philosophy, Psychology and Scientific Methods 10, 374–3809.  Kirkpatrick, M. Facebook's Zuckerberg says the age of privacy is over. Read/Write Web at 10

Conference Session

Computers and Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Mishael A. Clark, Indiana University Purdue University, Indianapolis; Eugenia Fernandez, Indiana University Purdue University, Indianapolis

Tagged Divisions

Computers in Education

research on the impact of podcast usage in higher education is worthy offurther research using not only self-reporting but course performance data.Three of the thirteen participating course sections in this study are Engineering & Technologycourses. A similar study focusing on students in this major could provide valuable insight on theimpact of podcasting on course outcomes.Limitations of this study include missing survey responses (approximately 1/3 of those surveyedboth during control and treatment phases did not complete the entire survey); the data reliedupon student self-reporting of reading and listening habits; finally, only one podcast was used inthis study.Bibliography1. Sikorski, J. F., Rich, K., Saville, B. K., Buskist, W

Conference Session

Best of Computer in Education Division

Collection

2013 ASEE Annual Conference & Exposition

Authors

Smitesh Bakrania, Rowan University; Sean Banger

Tagged Divisions

Computers in Education

c American Society for Engineering Education, 2013 A rubric-based grading app for iPadsAbstractWhile there are numerous classroom management and instructional apps available on the touch-based devices such as Apple’s iPad, there are limited alternatives that offer comprehensivegrading functionality. The few apps that do exist, lack the features necessary for effectivelygrading technical reports or are poorly designed to take advantage of the touch gestures. Thispaper describes the inception, development, and key design features of an iPad app, evaluA+,that facilitates rubric-based grading of both written and oral assignments. evaluA+ is specificallytargeted for grading essays, technical reports, and oral

Conference Session

Best of Computer in Education Division

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jacob Bishop, Utah State University; Matthew A Verleger, Embry-Riddle Aeronautical Univ., Daytona Beach

Tagged Divisions

Computers in Education

Paper ID #6219The Flipped Classroom: A Survey of the ResearchJacob Lowell Bishop, Utah State University Jacob Bishop holds B.S. and M.S. degrees in Mechanical Engineering. He is currently a graduate student at Utah State University pursuing a Ph.D. in Engineering Education. His research interests are multi- disciplinary. In educational research, his interests include model-eliciting activities, open online educa- tion, educational data mining, and the flipped classroom. In quantitative methodology and psychometrics, his interests focus on the use of latent variable models to analyze variability and change over time.Dr

Conference Session

Online Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Michelle E Jarvie Eggart PE, University of Maryland, University College

Tagged Divisions

Computers in Education

Paper ID #6196A comparison of sudent performance using two different on-line lecture de-livery softwaresDr. Michelle E Jarvie Eggart PE, University of Maryland, University College Dr. Jarvie Eggart works as an environmental engineer in the mining industry full time and adjuncts for the University of Maryland University College. She continually works to improve the delivery of on-line graduate education. Page 23.33.1 c American Society for Engineering Education, 2013 A Comparison of

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Fred W DePiero, California Polytechnic State University

Tagged Divisions

Computers in Education

may be counterintuitive that an online tool would encourage contact between studentsand faculty. (See first row of Table 1). Nevertheless online methods providing a flippedclassroom environment, can improve provide the effectiveness of available face-to-facetime3. Thus contact between students and faculty can improve by employing a hybridtool. Also if the hybrid can help a student formulate questions or bound uncertainties,then it may foster better students / faculty exchanges.A forum type of venue could provide a useful means to engage students with open-endedtypes of questions. For example, students could be asked, “How might you address agiven situation (method A vs B) and why do you prefer this approach?” or asked, “Whatdid you learn of

Conference Session

Robots and K-12 Computer Applications

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jeffrey Laut, Polytechnic Institute of New York University; Vikram Kapila, Polytechnic Institute of New York University; Magued G. Iskander P.E., Polytechnic Institute of New York University

Tagged Divisions

Computers in Education

you reach your goal, at which time you stop. Next, a control algorithm isdevised where the forward velocity of the robot is equal to a constant multiplied by the distanceto the goal. This algorithm is implemented in a Matlab script, which is shared and discussed withthe students. The script is then executed and the students observe, examine, and critique itsperformance.Figure 3: Real-time visualization of odometry data. Here, the wheel has rotated approximately one and a quarter turn. (a) Dashed line indicates the wheel start position and red line indicates current position and (b) angular position of the wheel in degrees.5. Lesson 2—Classroom Mapping In this activity, we build upon the basic odometry model of the

Conference Session

Computer Based Grading and Learning Styles

Collection

2013 ASEE Annual Conference & Exposition

Authors

Keith Alan Hekman, California Baptist University; Mark T Gordon, California Baptist University

Tagged Divisions

Computers in Education

                  1.9687      4.5990      4.2147      4.5990      2.2460      0.0000 Model  VISIBLE                  4.2147      3.5990      4.9687      3.5990      0.7540      0.0000  Figure 1, Example email response sent to the student from the grading program. A B Figure 2, JPG files sent to the student from the grading program.For each submission, the program updates a CSV (comma separated variable) file which recordsthe score, the time of submission, and the creation time of the file in a grid format based on theemail address of the submission to identify the student. The student ID associated with each