Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Virgilio Ernesto Gonzalez, University of Texas, El Paso; Oscar Antonio Perez, University of Texas, El Paso

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Diversity

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Computers in Education

Paper ID #12801Work-in-Progress: Student Dashboard for a Multi-agent Approach for Aca-demic AdvisingDr. Virgilio Ernesto Gonzalez, University of Texas, El Paso VIRGILIO GONZALEZ, Associate Chair and Clinical Associate Professor of Electrical and Computer Engineering at The University of Texas at El Paso, started his first appointment at UTEP in 2001. He received the UT System Board of Regents Outstanding Teaching Award in 2012. From 1996 to 2001 he was the Technology Planning manager for AT&T-Alestra in Mexico; and before he was the Telecom- munications Director for ITESM in Mexico. His research areas are in

Conference Session

Data Analysis and Assessment

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cory Brozina, Virginia Tech; David B. Knight, Virginia Tech, Department of Engineering Education

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Computers in Education

engagement.We ground our work theoretically using the Academic Plan Model to understand how freshmanengineering students’ use of LMS tools relate to their performance in the class. The AcademicPlan Model details potential influences on curriculum design at the course, program, andinstitutional levels. As the Model suggests, faculty members may (or should) consider learners,instructional resources, and instructional processes when developing their curricular plans. Priorresearch within and outside engineering, however, has shown that faculty tend not to draw onavailable data when considering these components, if they even consider them at all. Our studypresents an idea for bringing data into those considerations by focusing on the course-levelactivities

Conference Session

Virtual Instruction and Collaboration

Collection

2015 ASEE Annual Conference & Exposition

Authors

Pilar Pazos, Old Dominion University; Nina Magpili

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Computers in Education

Team Charter (artifact) TRANSITION PROCESSES Interpretation and evaluation of the team's analysis, Project plan (artifact) mission, including identification of its Shared mental model and team identity formulation and main tasks, the operative environmental conditions and resources available building (cognitive task) planning

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

in leadership positions for numerous professional organizations. Page 26.1585.1 c American Society for Engineering Education, 2015 Time Management Skills and Student Performance in Online CoursesAs educators, we have the almost daily task of turning students’ goals into the reality ofcompleted degrees. In part, we accomplish this by requiring students to spend time with coursecontent. Students, in turn, must plan and use their time effectively in order to accomplish coursegoals and objectives. Online courses present special challenges for student engagement andeffective time management

Conference Session

General Technical Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

John P. Mullen, New Mexico State University

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Computers in Education

knowledge or not if students’ability to communicate their knowledge is uncertain[18]. This may also explain why aninstructor may ask, “What is one plus one?” and the students reply, “Green!” Somewhere alongthe line, there is a failure to communicate.Pólya’s methodGeorge Pólya first published How To Solve It in 1957, then updated it in 1973. The currentedition was published post humorously in 1988[20]. This little book was aimed primarily atteachers and promoted the idea that students could learn problem-solving by developing theirown proofs in geometry classes. Briefly, the problem-solving method consists of four steps: 1. Understanding the problem 2. Devising a plan 3. Carrying out the plan, and 4. Looking back

Conference Session

Software and Programming

Collection

2015 ASEE Annual Conference & Exposition

Authors

Priya Manohar, Robert Morris University; Sushil Acharya, Robert Morris University; Peter Y. Wu, Robert Morris University; Ali A. Ansari, Virginia State University; Walter W. Schilling Jr., Milwaukee School of Engineering

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Diversity

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Computers in Education

. His teaching involvement and research interest are in the area of Software Engineering education, Software Verification & Validation, Data Mining, Neural Networks, and Enterprise Resource Planning. He also has interest in Learning Objectives based Education Material Design and Development. Acharya is a co-author of ”Discrete Mathematics Applications for Information Systems Professionals- 2nd Ed., Prentice Hall”. He is a member of Nepal Engineering Association and is also a member of ASEE, and ACM. Acharya was the Principal Investigator of the 2007 HP grant for Higher Education at RMU. In 2013 Acharya received a National Science Foundation (NSF) Grant for developing course materials through an industry-academia

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

James E. Lewis, University of Louisville; Jeffrey Lloyd Hieb, University of Louisville

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Computers in Education

matter expert such as a TA or instructorprovides guidance and clarification as the students work on the assignment. There are severalproblems with this approach, finding enough TAs and/or instructors, and enough class hours.Also, with students having a variety of skill levels, class time might be wasted since some,perhaps many of the students would complete the task quickly. Complementary, those studentsneeding the most help might run out of class time to complete the task, and then have tocomplete the task without assistance (which might very well contribute to an increase incheating). Our plan for achieving this outcome would be to have students complete simulationbased training programs such as MyITLab or other similar products. Students are

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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Diversity

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Computers in Education

makesthe code generated by the visual programming environment easy and intuitive to understand.Figure 2 shows a sample robot motion plan to control the two wheeled robot. Figure 3 shows theblock program for the motion plan of Figure 2 and the equivalent code generated by the visualprogramming environment. The “Go forward” block makes the robot advance forward by oneblock, wherein each side of a block on the robot arena is one foot. Similarly the “Go backward”block makes the robot go back by one block. Using the differential drive, the “Turn right” blockmakes the robot rotate right by 90 degrees and the “Turn left” block makes the robot rotate leftby 90 degrees. Figure 2: Mobile Robot Motion Plan

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

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Computers in Education

stakeholder groups became convinced that this problem/opportunityneeded to be addressed, we proceeded to the initial planning stages.Step 2: VisionA persona is a popular concept and technique in user-centered design. A persona isdefined as a composite archetype of the user group. It is generated after in-depth researchand understanding of the user group and as such, it is a technique for presenting researchdata in a way that is easy to understand and creates empathy with users10. A name andphotograph, as well as details about the persona’s daily life, are used in a personadescription to provide vivid detail and facilitate empathy. The literature emphasizes howimportant it is for the persona to be based on actual research data rather than

Conference Session

Data Analysis and Assessment

Collection

2015 ASEE Annual Conference & Exposition

Authors

David B. Knight, Virginia Tech, Department of Engineering Education; Cory Brozina, Virginia Tech; Eric M. Stauffer, Virginia Tech; Chris Frisina, Virginia Tech; Troy D. Abel, Virginia Tech

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Computers in Education

adashboard in easing the transition into university life, which was also outside the scope of ouroriginal learning analytics design (see Figure 5). Can help manage pre-matriculation Can help manage finances early on requirements and deadlines (e.g., meal plan use) Assisting students make the transition to university life A real-time "life" management Can offer some kind of function could spur student use of a mapping/navigation function learning dashboard

Conference Session

Computer-Based Tests, Problems, and Other Instructional Materials

Collection

2015 ASEE Annual Conference & Exposition

Authors

Kurt C. Gramoll, University of Oklahoma

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Diversity

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Computers in Education

activate the student camera as they are taking the exam. Remember, these tablets arenot student own and are strictly used only for the exam. Thus, there are no privacy expectationsand the camera can be used to monitor the student during the exam to confirm the student istaking the exam. Future plans include using visual identification for distant or remote students.The instructor page also reports the percentage correct for each problem. This has proven helpfulin identifying potential issues with a particular problem. If the percentage correct is low, then theproblem can be quickly reviewed to make sure the problem is correct and there is not typo

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Debarati Basu, Virginia Tech; John Stanton Goldstein Purviance, Virginia Tech ; Darren K Maczka, Virginia Tech; Daniel S Brogan, VIrginia Tech; Vinod K. Lohani, Virginia Tech

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Computers in Education

ResearchExperience for Undergraduate (REU)/NSF program during the summer of 2014. Much of thedevelopmental work planned in this 10-week REU project was implemented during summer2014. However during the fall of 2014, it was determined that the summer 2014 implementationof the Raspberry Pi-based system was not easily maintainable or extendable. In order to addressthese concerns a redesign was proposed consisting of three components: 1) refactoring theinstrument parsing code, 2) restructuring the database schema and 3) implementing a REST APIexplained later) to provide a consistent way to access the data. This paper describes the REU project and its continuation. Section 2.0 of the papersummarizes the four stages of the LEWAS infrastructure. Section 3.0

Conference Session

Simulation

Collection

2015 ASEE Annual Conference & Exposition

Authors

Camilo Vieira, Purdue University; Alejandra J. Magana, Purdue University, West Lafayette; Anindya Roy, Johns Hopkins University; Michael L. Falk, Johns Hopkins University; Michael J. Reese Jr., Johns Hopkins University

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Computers in Education

. The first ofthree phases is the problem recognition. Here, the student will understand the problem and createa plan to solve. The student will use verbal and mathematical representations for that purpose.On a second phase called problem framing, the students execute the plan creating computationalrepresentations of the phenomenon (i.e., the implementation of the model). Finally, on theproblem synthesis phase, the students will complete the plan by evaluating the solution. They Page 26.744.3will use computational, visual, mathematical, and verbal representations to ensure the solution iscorrect. The Methods section contains a detailed

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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Diversity

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Computers in Education

Director of the Center for 3-D Visualization and Virtual Reality Applications, and Technical Director of the NASA funded MIST Space Vehicle Mission Planning Laboratory at the University of Maryland Eastern Shore. In 2010, he joined Eastern Michigan University as an Associate Dean in the College of Technology and currently is a Professor in the School of Engineer- ing Technology. He has an extensive experience in curriculum and laboratory design and development. Dr. Eydgahi has served as a member of the Board of Directors for Tau Alpha Pi, as a member of Advi- sory and Editorial boards for many International Journals in Engineering and Technology, as a member of review panel for NASA and Department of Education, as a

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

Society for Engineering Education, 2015 Paper ID #11826 as program and planning committees’ member and reviewer and chairman of several ones. He was co- chair of the conference EDUCON 2010 (Engineering Education Conference), TAEE 2010 (Tecnolog´ıas Aplicadas a la Ense˜nanza de la Electr´onica) and ICECE 2005 (International Conference on Engineering and Computer Education). Is co-chair of the conference FIE 2014 (Frontiers in Education Conference) to be organized in Madrid, Spain, by the IEEE and the ASEE. He is co-editor of IEEE-RITA (Revista Iberoamericana de Tecnolog´ıas del Aprendizaje) and of the Electronic Journal of

Conference Session

Simulation

Collection

2015 ASEE Annual Conference & Exposition

Authors

Kyle Joe Branch, University of Utah; Anthony Edward Butterfield, University of Utah

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Computers in Education

likely to do their homework in the morning, and lower percentile students tend to stay up later into the night working on them. Anecdotally, these trends are not surprising, but now we can clearly measure them. In our future work, we plan to automate many of the reasonable instructor responses to such data. We may, for example, offer an automated reminder to calibrate if they have not in previous attempts, or we may have the site advise students to do their homework earlier if they’re waiting until the night before it’s due. We are also adding capabilities to detect unit conversion errors, and to notify the instructor when a particular student is having an abnormal level of difficulty so that

Conference Session

Software and Programming

Collection

2015 ASEE Annual Conference & Exposition

Authors

Clinton Andrew Staley, California Polytechnic State University; Corey Ford, California Polytechnic State University

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Diversity

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Computers in Education

research is to improve online IDEs of this sort by adding means ofdetecting student difficulties, improving compile and runtime error reporting, and identifyingsuccessful patterns of code development.Prior WorkThe behavior of student programmers has been the subject of substantial research. An earlyinstance of such work7 compared successive program submissions in a batch-processingenvironment, finding that most changes affected only one or two lines of the source. A laterstudy9 observed and tracked high-level behaviors of high school students in a Pascalprogramming class, and noted that the students spent most of their time editing and running theirprogram rather than planning or reformulating code.Most recent work extracts detailed data directly

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Fernando Garcia Gonzalez, Florida Gulf Coast University; Janusz Zalewski, Florida Gulf Coast University; Gerardo Javier Pinzon P.E., Texas A&M International University

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Computers in Education

c American Society for Engineering Education, 2015 Work-in-Progress: A Software Based Robotic Vision Simulator for Use in Teaching Introductory Robotics CoursesWith the rising popularity of robotics in our modern world there is an increase in engineeringprograms that offer an introductory course in robotics. This common introductory roboticscourse generally covers the fundamental theory of robotics including robot kinematics,dynamics, differential movements, trajectory planning and basic computer vision algorithmscommonly used in the field of robotics. To teach robotic vision the student is generallyexposed to a variety of vision algorithms where they learn how to combine them along withthe selection of their parameters to

Conference Session

Course Development / Curriculum Development

Collection

2015 ASEE Annual Conference & Exposition

Authors

Alisa Gilmore P.E., University of Nebraska, Lincoln

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Computers in Education

Page 26.460.9Subsumption Architecture in the 1980’s at MIT. This paradigm for controlling robots wasrevolutionary in its treatment of the three robot primitives - sense, plan, and act, which up untilthat time involved a heavy planning and world modeling component. Behavior based controlprograms did not rely on planning, but they separated the robot’s brain into modular behaviorsthat were triggered by sensor inputs. The output of the behaviors sent commands to the actuators,and these commands could be suppressed by other behaviors. The simplest manner in which tochoose which behavior the robot executes at any time is to list behaviors in an order of priority.The behaviors cooperate in that any behavior can be executed at any time, if the right

Conference Session

Online Teaching

Collection

2015 ASEE Annual Conference & Exposition

Authors

Paul Morrow Nissenson, California State Polytechnic University, Pomona; Angela C. Shih, California State Polytechnic University, Pomona

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Computers in Education

workThis paper demonstrates that it is possible for a public PUI to develop and deliver a successfulMOOC for relatively low cost using local resources. For this plan to be replicated at other publicPUIs, the instructor(s) must be willing to be only partially compensated for their time; theSummer 2012 workshop stipend and six units of release time received by the lead authorrepresents a fraction of the total time put into the creation of the hybrid course and MOOC. AMOOC developed using the model discussed in this paper would have to be a “labor of love.”While this may turn off many faculty members from creating their own MOOC, the lead authorexperienced a tremendous amount of personal satisfaction from helping hundreds of peoplearound the world

Conference Session

General Technical Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Mihaela Radu, SUNY Farmingdale State College; Clint S. Cole, Digilent, Inc.; Mircea Alexandru Dabacan, Technical University of Cluj-Napoca; Monica Ignat Bot, Digilent; Alex Wong, Digilent, Inc.; Joe Harris, Digilent, Inc.

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Diversity

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Computers in Education

with better features.”“I have learned a great deal of things from the contest: technical, mathematical, and theexperience of the contest itself, the presentation of our work in front of such an exclusiveaudience”.“I learned a lot about complex system’s planning and verification”.Several students’ comments refer to the job offers or scholarships that they received afterparticipating in this competition and meeting industry representatives:“It helped me get a job in the embedded design”.“For me, the 4th edition of the Diligent Design Contest was a career-changer... literally... At theend of my 3rd year at TUCN, I was looking for a job... and I found it thanks to the DesignContest”.“The fact that I won a prestigious European contest contributed

Conference Session

Innovative Use of Technology I

Collection

2015 ASEE Annual Conference & Exposition

Authors

Oscar Antonio Perez, University of Texas, 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; Herminia Hemmitt, University of Texas, El Paso; Randy Hazael Anaya, University of Texas, El Paso; Peter Golding, University of Texas, El Paso; Hector Erick Lugo Nevarez, University of Texas, El Paso

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Diversity

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Computers in Education

technology project had a high impact in the areas oftime management, engineering career awareness and planning, research methods and techniques,critical thinking concepts, and unit systems and conversions. From previous research we haveconfirmed the fact that engineering students with the demographics of The University of Texas atEl Paso prefer a class that uses technology.Finally, from the attitudinal survey, as a whole, the majority of the students were actively engagedin the different activities required to do the 3D technology project. Comments like the followingwere written on the open-ended questions of the survey: • Question 48. What new technical and engineering concepts did you learn from this project? o “I learned how to use

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Neelam Soundarajan, Ohio State University; Swaroop Joshi, Ohio State University; Rajiv Ramnath, Ohio State University

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Diversity

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Computers in Education

discussion that her group memberswent through in arriving at their final positions and the evolution of her own thinking as the dis-cussion progressed, possibly in preparation for the final exam in the course; andd) Allowing the instructor to assess how effective the initial multiple-choice question was in en-abling the formation of heterogeneous groups as well as how effective the discussions in the groupswere in helping students develop deep understanding of the underlying concepts by looking at thesummaries of the discussions submitted by the various students in the class.We conclude with a mention of our plans for future work. We are currently implementing therevised version of the CONSIDER tool. Once it is complete, we plan to test it in a

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Steve E. Watkins, Missouri University of Science & Technology; Theresa Mae Swift, Missouri University of Science & Technology; Amardeep Kaur, Missouri University of Science and Technology, Rolla MO

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Diversity

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Computers in Education

Resistor SetC. Implementation Plan and DiscussionThe assignments have been made a permanent part of the circuit analysis laboratory in ECE atMissouri University of Science and Technology14. Student performance, student comments, andinstructor observations will be used to modify the assignments for effectiveness. In particular,the laboratory reports have been selected as measures for the department assessment planregarding ABET outcomes b) and k). For instance, the student grades on the Resistive Networksreports will address the criteria for outcome b) to organize and interpret laboratory data with agoal of having a median score on this selected assignment of 80 percent or more.This laboratory implementation provides an early basic introduction to

Conference Session

Data Analysis and Assessment

Collection

2015 ASEE Annual Conference & Exposition

Authors

Elaheh Molla Allameh, Purdue University; Mihaela Vorvoreanu, Purdue University, West Lafayette; Seungwon Yang, George Mason University; Aditya Johri, George Mason University; Krishna Madhavan, Purdue University, West Lafayette

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Computers in Education

. 144)Financial and “Scientific data infrastructure requires continued, and dedicated, budgetarybudgetary planning and appropriate financial support. The use of research data cannot bedomain maximized if access, management, and preservation costs are an add-on or after-thought in research projects” (p. 145).Legal and “National laws and international agreements directly affect data access andpolicy domain sharing practices, despite the fact that they are often adopted without due consideration of the impact on the sharing of publicly funded research data” (p. 146).Cultural and “Appropriate reward structures are a necessary component for promoting

Conference Session

Simulation

Collection

2015 ASEE Annual Conference & Exposition

Authors

Stephanie L. Cutler, Embry-Riddle Aeronautical Univ., Daytona Beach; Wendi M. Kappers, Embry-Riddle Aeronautical Univ., Daytona Beach

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Computers in Education

integrate and expand their research and teaching practice.Dr. Wendi M. Kappers, Embry-Riddle Aeronautical Univ., Daytona Beach Wendi M. Kappers has a Ph.D. in Instructional Technology from the University of Central Florida (UCF). Her thesis work explored how educational video game effects upon mathematics achievement and mo- tivation scores differed between the sexes. During her tenure at Seminole Community College working as a Tenured Professor and Program Manager of the Network Engineering Program, she was Co-PI for the CSEMS NSF grant that explored collaborative administration and industry mentorship planning used to increase enrollments of woman and minorities with declared majors in the areas of Computer Science (CS

Conference Session

Virtual Instruction and Collaboration

Collection

2015 ASEE Annual Conference & Exposition

Authors

Shahnam Navaee, Georgia Southern University

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Computers in Education

. Using this capability, the progressof the lab or field experiments requiring a significant amount of completion time can be monitoredremotely without having to be present at the experimentation site. The author plans to furtherinvestigate this capability of LabVIEW in his next research. A fund request has been submitted foracquiring the data acquisition instruments needed for this research. The investigator also hopes to beable to compare this method of analysis to other available approaches to possibly choose the optimalmethod for remotely conducting lab or field experimentations. This research can have a greatpotential in monitoring and evaluating the health of structural members.AcknowledgementThe author would like to thank Mr. Ryan Mooney

Conference Session

Mobile Devices and Apps

Collection

2015 ASEE Annual Conference & Exposition

Authors

Rachel M. White, Oregon State University; Bill Jay Brooks, Oregon State University; Milo Koretsky, Oregon State University

Tagged Divisions

Computers in Education

for mobile devices, andstudents had to manually resize pages in order to read and answer concept questions. TheAIChE Concept Warehouse Student App seeks to improve the student user experience withoptimization for small screens and touch-friendly navigation. In this paper, we present adescription of the student application. We also provide a detailed description of the design anddevelopment process to provide a reference for future design projects. Finally, we report onfuture plans and activities for the student application.Related WorkMobile device applications have been used as teaching and learning aids before. EvaluA+ is aniPad app developed to aid instructors in creating and using rubrics to grade assignments andpresentations. It allows

Conference Session

Virtual Instruction and Collaboration

Collection

2015 ASEE Annual Conference & Exposition

Authors

Thalia Anagnos, San Jose State University; Alicia L. Lyman-Holt, Oregon State University; Sean P. Brophy, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

questions and provide feedback.The NEES REU leadership team explored multiple options for the second major activity for theVPTs. The intended purpose of the second activity was to engage the teams in a challenge taskthat required knowledge building together, managing ideas, and making decisions. Ideally VPTswould have completed a design project or research project where the team worked to exploreoptions, critically evaluate alternatives, make a decision, and prepare a development plan. At thesame time, the leadership team was concerned with the overall workload of the students, whichlimited the scope of the projects VPTs could complete. Therefore, the second major activity ofthe VPTs was to generate a short report recommending potential conferences

Conference Session

Computers in Education Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Lee Kemp Rynearson, Purdue University, West Lafayette; David W Reazin, Purdue University

Tagged Divisions

Computers in Education

topics.Mr. David W Reazin, Purdue University Dave Reazin is currently a third year student at Purdue University working towards a B.S. in Electrical Engineering with a focus on Automatic Controls and Integrated Software Methods. Scheduled to grad- uate in 2016, Dave plans to enter industry before returning to school to complete his Masters. Through- out his time at Purdue, Dave has also worked as a Resident Assistant and Staff Resident for University Residences, a Teaching Assistant and Grading Systems Team Lead for the Purdue University First Year Honors Engineering Program, and an Electrical Engineering Intern for United Launch Alliance in Cape Canaveral, FL