Conference Session

COED: Online and Blended Learning Part 2

Collection

2018 ASEE Annual Conference & Exposition

Authors

Luke S. Lee P.E., University of the Pacific; Hector Estrada, University of the Pacific; Mehdi Khazaeli, University of the Pacific

Tagged Divisions

Computers in Education

video resolution, a minimumlevel of production quality is necessary in online education videos because without adequatevideo resolution or audio quality the viewer can be easily distracted from the learning objectivesor the video content may not be accessible to the learner.VIDEO TUTORIAL RECOMMENDATIONSCreating online engineering video tutorials is analogous to the film making process, which ischaracterized by three distinct stages as shown in Figure 3. First is the pre-production orplanning stage followed by the production stage or recording, and finishing with the post-production stage, which involves editing and sharing. Implementing these stages in videoproduction or any project is not new and often requires a team of specialists in each

Conference Session

Technical Session 9:Topics related to STEM

Collection

2019 ASEE Annual Conference & Exposition

Authors

Donald Joseph Beyette, Texas A&M University; Michael S. Rugh, Texas A&M University; Jason Lin, Texas A&M University; Xing Wang, Texas A&M University; Zelun Wang, Texas A&M University; Jyh C. Liu, Texas A&M University; Robert M. Capraro, Aggie STEM @ Texas A&M University

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Computers in Education

Paper ID #25558DIME: A Dynamic Interactive Mathematical Expression Tool for STEM Ed-ucationMr. Donald Joseph Beyette, Texas A&M University Donald Beyette is a master thesis student at Texas A&M University studying machine learning, graph theory, and GPS navigation. Current research projects focus on content analysis, systems to model users learning behavior, hypersonic navigation, and GPS antispoofing techniques.Mr. Michael S. Rugh, Texas A&M University Michael S Rugh is a second year PhD student focusing on mathematics education within the Curriculum and Instruction PhD track in the Department of Teaching

Conference Session

Innovative Teaching

Collection

2016 ASEE Annual Conference & Exposition

Authors

Mohammad Rafiq Muqri, DeVry University - Pomona; Javad Shakib, DeVry University - Pomona; Hasan Muqri; Moe Saouli, DeVry University - Pomona

Tagged Divisions

Computers in Education

sectors. Back- ground in engineering, program and project management, managed manufacturing and industrial engi- neering departments and teams in the aerospace, electronics and telecom industries. Educator, with ex- perience managing departments, programs, research and teaching undergraduate and graduate, business administration and general education courses. Authored, published and presented research papers in con- ferences, peer reviewed journals, with multidisciplinary interests in technology, business, quality systems, organizational leadership and education. c American Society for Engineering Education, 2016 AN ELECTRICAL AND COMPUTER STARTUP KIT FOR FUNDAMENTALS OF

Conference Session

Computer-Based Tests, Problems, and Other Instructional Materials

Collection

2015 ASEE Annual Conference & Exposition

Authors

Kurt C. Gramoll, University of Oklahoma

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

modified. Both these tasks are outlined in this paper. The server system with a databaseof problems already existed from the previous laptop-based testing system.2 Tablet OS and Model ChoiceBefore actual tablet app development could start, the actual tablet model and operating systemsneeded to be chosen. With the large number of tablets on the market, this was not a simple task.It was determined that the main constraints included 1) cost, 2) ease of programming, 3) limitingcommunication type apps, 4) and capability to install custom apps. When this project was started,Fall of 2013, there were two main types of tablets, Apple iOS and Google Android

Conference Session

Mobile Devices and Apps

Collection

2015 ASEE Annual Conference & Exposition

Authors

Andreas Karatsolis, MIT; Suguru Ishizaki, Carnegie Mellon University; Marsha C. Lovett, Carnegie Mellon University; Mollie Kaufer, Carnegie Mellon University; Stacie L. Rohrbach, Carnegie Mellon University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Communication Society, he is primarily interested in designing curricula and tools which can help engineers and scientists develop life-long competencies in communication. In the past seven years he has also been the Lead of co-Principal Investigator in projects related to the design, implementation and assessment of learning technologies, especially in the domains of language learning, health communication and public discourse.Suguru Ishizaki, Carnegie Mellon University Suguru Ishizaki is an Associate Professor of Rhetoric and Communication Design in the Department of English at Carnegie Mellon. His current research interests include pedagogy of commu-nication and de- sign for students and professionals in the technology

Conference Session

Computers in Education Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Yang Hu, Washington State University ; Matthew E. Taylor, Washington State University

Tagged Divisions

Computers in Education

build all basic primitives for users with python-based scripts. Learners are notrequired to build basic objects by themselves, which allowing them to focus on learning principlesof solid modeling. To trace all learners’ operations, we built go back and restart functions. Booleanoperation functions are imported from FreeCAD library. For each goal 3D model, we applied asearch and planning algorithm, an AI approach, to compute all possible construction sequencesunder certain constraints.The tutorial system consists of five components: introduction, pre-test, training, post-test, andpost-survey. A flow chart of the tutorial process is shown in Figure 1.At the project introduction stage, the tutorial briefly introduces the overall tutorial process

Conference Session

Computers in Education Division Poster Session

Collection

2016 ASEE Annual Conference & Exposition

Authors

Joshua Levi Weese, Kansas State University; William H. Hsu, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

under estimate on class size, files with more than two row gaps in the dataunderneath header will be unsuccessfully parsed.The schema inference model is able to successfully parse 77/80 testing files (a mixture ofsanitized real data submitted to the project and synthetic data). A file is parsed successfully if itidentified the header row and included all rows of student data. If the parser includesmiscellaneous columns of data, the test is allowed to pass as these columns can be excluded inpost processing; 23 tests were passed in this manner. The last three tests failed due to theassessment answer keys being included as part of the block of student data. This problem can besolved for templated files; however, for semi-structured files, we are

Conference Session

Technical Session 7: Online and Distributed Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Taylor V. Williams, Purdue University-Main Campus, West Lafayette (College of Engineering); Kerrie A. Douglas, Purdue University-Main Campus, West Lafayette (College of Engineering); Peter Bermel, Purdue University-Main Campus, West Lafayette (College of Engineering); Hillary E. Merzdorf, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Computers in Education

answer in what ways learners interact with advanced STEM MOOCs, we analyze learnerusage patterns across nine advanced STEM MOOCs offered by nanoHUB, a National ScienceFoundation supported project [22]. In this paper, we present early findings based on an analysisof three of these courses. nanoHUB is an online platform dedicated to “computationalnanotechnology research, education, and collaboration” [22] and partners with the MOOChosting platform edX to deliver nanoHUB courses online.DataThe individuals we include in this analysis are those we refer to as “live-mode learners.”Consistent with previous research [23], we define these live-mode learners as those individualswhose first recorded interaction with any course material occurred during the

Conference Session

Poster Session

Collection

2019 ASEE Annual Conference & Exposition

Authors

Anthony J Petrosino Jr, University of Texas, Austin; Maximilan Kolbe Sherard, The University of Texas at Austin; Jason R Harron, University of Texas, Austin

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

of vaccinationand disease transmission. Moreover, systemic reasoning about disease transmission andvaccination can be supported by creating, using, or evaluating computer models; however, thistype of engagement is infrequent in elementary pre-service teacher programs [3]. This work in progress is part of a larger design-based research project to implementcomputational modeling of complex phenomena in STEM education. In this single-implementation case study, the authors sought to use computational simulations to engagepreservice teachers in dialogue about the locally relevant issue of vaccination in K-12 schooling.The researchers built and used simulations of disease transmission and engaged teachers in a 3-hour lesson to determine

Conference Session

Computers in Education Division Technical Session 1: Topics Related to Engineering - Part 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Conrad Tucker, Carnegie Mellon University; Kathy Schmidt Jackson, Pennsylvania State University, University Park; John Jongho Park, Penn State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

place that may mitigate adversarial exploits of AI algorithms andprevent AI algorithms themselves from being used to exploit vulnerable human populations.America’s Strategy for advancing STEM Education sets the goal that “all Americans will have alifelong access to high-quality STEM education and the United States will be the global leader inSTEM literacy, innovation, and employment.” 7 While the cost of tuition has increased threefoldin private institutions, and fourfold in public institutions (compared to 1974 levels 8), the averagemedian household income has remained stagnant 8,9. Furthermore, the time needed to attain ahigher education degree typically exceeds 52 months, well beyond the projected 48 months forwhich students aim 10. Given

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

others, share information with others, and demonstrate their ability to take aleadership role in support of the team’s goals while conducting Lab experiments.” – would mapto program outcomes [b, d, g] - (b) “an ability to design and conduct experiments, as well as toanalyze and interpret data;” (d) “an ability to function on multi-disciplinary teams;” (g) “anability to communicate effectively through oral and written communications.” Furthermore aninstrument: "Final Project, Question 1" can be created that satisfies one or more of theperformance criteria under program outcome (a), such as "Uses fundamental engineeringprinciples to solve engineering related problems."Course Laboratory Outcomes Mapping Example Students enrolled in the online

Conference Session

Topics in Computer Science and Programming

Collection

2012 ASEE Annual Conference & Exposition

Authors

Rajeev K. Agrawal, North Carolina A&T State University; Zachary Kurmas, Grand Valley State University; Venkat N. Gudivada, Marshall University; Naser El-Bathy P.E., North Carolina A&T State University; Cameron Seay, North Carolina A&T State University

Tagged Divisions

Computers in Education

were assigned as 3-4weeks projects, whereas Metro and Igel Ärgern were 6- to 8-week term projects. Students weregiven intermediate deadlines to keep them focused.Game Programming Topics Covered Language File I/O Data Exceptions GUI/Text Inheritance StructureNumbrix Java X Array X BothMetro Java Array X GUI XConnect Java X Array X BothfourIgel Java X Array, X GUI XÄrgern

Conference Session

Computers in Education Poster Session

Collection

2010 Annual Conference & Exposition

Authors

Hamed Farahani Manesh, Eastern Mediterranean University; Dirk Schaefer, Georgia Institute of Technology

Tagged Divisions

Computers in Education

AC 2010-24: A VIRTUAL FACTORY APPROACH FOR DESIGN ANDIMPLEMENTATION OF AGILE MANUFACTURING SYSTEMSHamed Farahani Manesh, Eastern Mediterranean University Hamed F. Manesh received his PhD degree in Mechanical Engineering from the Eastern Mediterranean University, N. Cyprus. He was a Research Assistant and Lecturer in this university from 2003 to 2010. He received his first Master’s Degree in Information Systems and the second in Mechanical Engineering also from Eastern Mediterranean University. Currently, he is involved in a research group, which carries out research and development activities for industry-oriented projects of intelligent manufacturing systems, automation, virtual manufacturing as well as

Conference Session

CoED General Technical Session II

Collection

2012 ASEE Annual Conference & Exposition

Authors

Howard Whitston, University of South Alabama; Adam Thomas Moore, University of South Alabama

Tagged Divisions

Computers in Education

processing.A parser is used to process string input into a form that will be evaluated by a program which forthis project could be an array containing the tokens of interest4. The initial application for the useof a parser to this problem would be to define a grammar, which is a description of a language,that would match the Boolean theorems and replace them with the simplified input. The parsingapproach was attractive because grammars can be recursively defined, which would solve theproblem posed by a regular expression-based solution. This is an unusual use of a parser, since itis generally not the purpose of the parser to manipulate the data, but rather to put it into a formfor manipulation by some other part of the program4

Conference Session

Tablets Large and Small

Collection

2012 ASEE Annual Conference & Exposition

Authors

Oscar Antonio Perez, University of Texas, El Paso; Virgilio Gonzalez, University of Texas, El Paso; Mike Thomas Pitcher, University of Texas, El Paso; Peter Golding, University of Texas, El Paso; Hugo Gomez, University of Texas, El Paso ; Pedro Arturo Espinoza, University of Texas, El Paso

Tagged Divisions

Computers in Education

impact of student learning on the following class are-as: Class assignments, homework, quizzes and exams. Variances between the cohorts were as-sessed as part of the second and third semester exams. Two years of results enabling longitudinalcomparison are now possible. This research project has yielded data in a field that has not beenpreviously explored within the associated demographic environment. The complete analysis on thecomprehension and student perceived value have been analyzed and very interesting results thathave been obtain here within this paper.INTRODUCTION Throughout history there have been many attempts to incorporate different technologies in theclassroom.1 Some of these technologies have seen more success than others when

Conference Session

Tablets Large and Small

Collection

2012 ASEE Annual Conference & Exposition

Authors

Tonya Lynn Lauriski-Karriker, Colorado School of Mines; Emma Nicoletti, Colorado School of Mines; Barbara M. Moskal, Colorado School of Mines

Tagged Divisions

Computers in Education

, educational researchers and college instructors have been exploring newmethods for using technology to enhance the learning process. The level of use varies byinstructor and institution.Georgia Tech began the Classroom 2000 project in the 1990s, with the intention of investigatingdiverse approaches for incorporating technology in the classroom.1 This project continues todayunder the revised name, eClass.2 Classroom 2000/eClass was designed to investigate the ideathat students are able to devote more attention to content when they do not need to focus oncopying notes. Other schools, even high schools, have selected to adopt specific technologies,such as the tablet PCs for widespread instructional use. For example, secondary school districtsin Ontario

Conference Session

Tablet PC use in Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

of promoting faculty development, and the TFLC wasbased on the authors’ experiences in a different University Faculty Learning Community. Thegoal for both the seminar and TFLC were simple: provide faculty with technical andpedagogical information, and then offer support for their attempts to incorporate Tablet PCs intothe classroom teaching.A major innovation developed for the seminar, and used in the workshop, was a multipleprojector approach to help faculty see each of the following: (a) the instructor’s Tablet PCscreen with controls, (b) the classroom projected content, and (c) a sample student Tablet PCscreen. As part of the TFLC, faculty participants were required to develop material for one oftheir courses using a Tablet PC and then

Conference Session

Computers in Education Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Chris Smaill, University of Auckland; Colin Coghill, University of Auckland

Tagged Divisions

Computers in Education

education, although recent focus has been on the teaching of software engineering and providing assistance with various IT projects. He has spent several years creating the OASIS E-learning software application, a tool to assist with teach- ing which also provides a base for education related research. Before joining the University, he worked as a consultant in the computer security industry. Page 22.1708.1 c American Society for Engineering Education, 2011 Work in Progress: Virtual outreach - facilitating the transition to university studyAbstractGlobally

Conference Session

Computers in Education General Technical Session I

Collection

2011 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

analysis, engineering analysis and finite element methods and has interests in remote laboratories, project-based learning and student learning assessment. His research is in the areas of remote sensing and control with applications to remote experimentation as well as modeling of microstructure changes in metal forming processes. He publishes regularly in peer-reviewed conference proceedings and scientific journals. At the 2006 ASEE Annual Conference and Exposition in Chicago, USA, he received the Best Paper Award for his article ’A Virtual Laboratory on Fluid Mechanics’.Constantin Chassapis, Stevens Institute of Technology

Conference Session

Data Analytics in Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Conrad Tucker, Pennsylvania State University, University Park; Barton K. Pursel, The Pennsylvania State University; Anna Divinsky

Tagged Divisions

Computers in Education

Paper ID #10058Mining Student-Generated Textual Data In MOOCS And Quantifying TheirEffects on Student Performance and Learning OutcomesDr. Conrad Tucker, Pennsylvania State University, University ParkBarton K. Pursel, The Pennsylvania State University Barton K. Pursel, Ph.D., is a Research Project Manager at the Pennsylvania State University, focusing on the intersection of technology and pedagogy. Barton works collaboratively with faculty across disciplines to explore how emerging technologies and trends, such as MOOCs, digital badges, and learning analytics, impacts both students and instructors.Anna Divinsky

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

this paper, we reportfindings from our initial research investigation in an “Unstructured with DyKnow” statics course.3.2. ParticipantsThe course selected for this study was a Statics course that was purposefully chosen based on theinstructor’s familiarity with and use of DyKnow Vision. In the Fall 2012 semester, the instructortaught one section of Statics (~250 seats) in a large auditorium with stadium style seating. Thecourse met on Tuesdays and Thursdays for one hour and 15 minutes. The selected instructorused a Tablet PC to distribute slides and lecture notes to students via DyKnow. Lecture noteswere also projected in the front of the classroom. The lecture usually began with a review ofstudent selected homework problems, was followed by a

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

Paper ID #7904Work-in-Progress: Design of an Online Learning CoachDr. Fred W DePiero, California Polytechnic State University Dr. Fred DePiero received his B.S. and M.S. degrees in Electrical Engineering from Michigan State Uni- versity in 1985 and 1987. He then worked as a Development Associate at Oak Ridge National Laboratory until 1993. While there he was involved in a variety of real-time image processing projects and several laser-based ranging systems. Dr. DePiero began working on his Ph.D. at the University of Tennessee while still at ORNL, and completed it in May 1996. His research interests include

Conference Session

Technology-Related Educational Research

Collection

2016 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

the interpreter project that was part of the course. After the completionof this activity, in each course, students were asked to complete a survey about their experiences inusing the tool. In Section 4, we present an analysis of the survey results which suggest a very posi-tive effect of the approach on students’ learning, and highlights the importance of various featuresof our approach. We conclude in Section 5 with a brief summary and plans for future work.2 BackgroundOur approach builds on two key notions that have been used successfully in various branches oflearning sciences over the past few decades: Cognitive Conflict Driven Learning and Computer-Supported Collaborative Learning.2.1 Cognitive Conflict Driven LearningPiaget’s

Conference Session

Best of Computer in Education Division

Collection

2013 ASEE Annual Conference & Exposition

Authors

Hatem M Wasfy, Advanced Science and Automation Corp.; Tamer M. Wasfy, Indiana University Purdue University, Indianapolis; Riham M Mahfouz, Thomas Nelson Community College; Jeanne Peters, Advanced Science and Automation Corp.

Tagged Divisions

Computers in Education

Corp. Jeanne Peters is the vice president of Advanced Science and Automation Corp. Peters received a B.A. in Math/Computer Science from the College of William and Mary. She worked at NASA Langley Re- search Center in Hampton, Va. for over 20 years as a senior programmer/analyst for George Washington University, University of Virginia, and Old Dominion University. She co-authored over 70 journal and conference papers in the areas of: computational mechanics, finite element method, shells/plates, compos- ite material panels, and tires. She has also worked on numerous projects to create advanced engineering design and learning environments for space systems which include multimodal user interfaces. Peters directs

Conference Session

Computers in Education 2 - Programming 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Safia Malallah, Kansas State University; Khaled Nasser Alsalmi, The Public Authority for Applied Education and Training; Joshua Levi Weese, Kansas State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Paper ID #34235Measuring Awareness of Computational Thinking in Kuwaiti EducationalInstitutionsSafia Malallah, Kansas State University Safia Malallah is a web developer, artist, and Ph.D. candidate at Kansas State University. She obtained her master’s degree in computer science from Montana State University in 2017. Her research is centered around metamorphic testing in scientific software. Safia’s research interests expanded to include com- puter science education after observing the influence computer science has on her children. Her current research project is examining methods of teaching young children computational

Conference Session

Computers in Education 3 - Modulus I

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Arinjoy Basak, Virginia Polytechnic Institute and State University; Todd Patrick Shuba, Virginia Polytechnic Institute and State University; Jianqiang Zhang, Virginia Polytechnic Institute and State University; Sneha Patel Davison, Virginia Polytechnic Institute and State University; David A. Dillard, Virginia Polytechnic Institute and State University; Jacob R. Grohs, Virginia Polytechnic Institute and State University; Nicole P. Pitterson, Virginia Polytechnic Institute and State University; Clifford A. Shaffer, Virginia Polytechnic Institute and State University

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Computers in Education

1987. Hedirects the OpenDSA project, whose goal is to provide a complete online collection of interactive tutorialsfor data structures and algorithms courses. His research interests are in Digital Education, AlgorithmVisualization, Algorithm Design and Analysis, and Data Structures. American c Society for Engineering Education, 2021 Towards Designing an Interactive System for Accelerated Learning and As- sessment in Engineering Mechanics: A First Look at the Deforms Problem Solving SystemAbstractRepeated deliberate practice has been shown to be vital to developing mastery in engineeringproblem solving. Online tutoring systems have enhanced learning experiences

Conference Session

Computers in Education 8 - Video Technology

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Dule Shu, Carnegie Mellon University; Christopher Doss, RAND Corporation; Jared Mondschein, RAND Corporation; Denise Kopecky, Challenger Center; Valerie A. Fitton-Kane, Challenger Center; Lance Bush, Challenger Center; Conrad Tucker, Carnegie Mellon University

Tagged Divisions

Computers in Education

school students, and 82% of high school studentsregularly used a smartphone, and 41% said they used a smartphone twice a week to completeschoolwork. Further, a 2017 survey found that over 71% of K-12 teachers allowed students toresearch subjects using the internet, and 58% used educational apps [37]. Technology use ineducation was projected to increase at that time and was known to have dramatically increasedwhen schools closed during the COVID-19 pandemic [38].Similar to corporations, schools can control the applications and websites their users access onschool devices and networks. However, this approach becomes more challenging when learnersare off-campus and not utilizing school networks/devices. Per the K-12 Cybersecurity 2019 Yearin Review

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

the distinction between collaborative learning on the one hand and cooperativelearning on the other (see, e.g., Olivares 2 ). Cooperative learning is group learning whose main goal is for everymember of the group to learn 3,4 . Our focus is on this type of learning. By contrast, the goal of collaborative learningis for the group to work together to solve a problem, complete a project, etc.; ensuring that each individual memberof the group learns some particular item of knowledge is secondary. We should also add that not all authors use thesedefinitions of cooperative and collaborative learning with some authors conflating the two and others interchangingthe two terms 5,2 . In any case, there seems to be consensus that there are two types of

Conference Session

Robots in Education

Collection

2009 Annual Conference & Exposition

Authors

Alexander Mentis, United States Military Academy; Charles Reynolds, United States Military Academy; Donald Abbott-McCune, United States Military Academy; Benjamin Ring, United States Military Academy

Tagged Divisions

Computers in Education

Page 14.309.11compromise between the need to create excitement for the discipline while recognizing thatcomputer science is about more than just robotics.By taking this approach, we mitigate the need for each student to have a personal robot, since therobot is more loosely integrated with the learning objectives, and the time span of the robotintegration is much shorter. We assign one robot to each group of 2 – 3 students, and at ourinstitution, the students are allowed to take the robots home for the duration of the assignment.If this is not a viable option for other institutions, there may be other options, such as staggeringthe labs so that different sections of the course need the robots at different times, or redefiningthe project so that

Conference Session

Computational Tools and Simulation I

Collection

2009 Annual Conference & Exposition

Authors

Dianne Raubenheimer, North Carolina State University; Jeff Joines, North Carolina State University; Amy Craig, North Carolina State University

Tagged Divisions

Computers in Education

paper will outline the problem used; report on the scoring procedures andmethodology; and present the results from the study. The results demonstrated that students whoutilized computing generated better solutions and are better problem solvers than those who didnot use a computer.IntroductionThis work is part of an ongoing project that stems from assessing the impact of new introductorycomputer-based modeling courses that were created in two engineering departments at ouruniversity. These freshman level courses aim to educate students to model problems relevant totheir specific engineering discipline, solve these problems using modeling tools (including arange of software platforms, such as Excel and VBA), and then to analyze the solutions