Conference Session

Issues in Computer Education

Collection

2006 Annual Conference & Exposition

Authors

Hasasn Rajaei, Bowling Green State University; Mohammad Dadfar, Bowling Green State University

Tagged Divisions

Computers in Education

scheduling algorithms using multiple-queue4, look-ahead8, 9, and basic aggressive strategy. Our cluster computing lab provides an Page 11.339.2excellent environment for student projects in several of our courses including Operating Proceedings of the 2006 American Society for Engineering Education Annual Conference & Exposition Copyright À 2006, American Society for Engineering EducationSystems, Data Communication, and Distributed Programming. This paper reports the results ofsecond phase on job scheduling studies in multiprocessor environment.Schedulers employing backfilling algorithms in Distributed-Memory

Conference Session

Tablets, Mobile and Technology

Collection

2013 ASEE Annual Conference & Exposition

Authors

John Oliver Cristy, Virginia Tech; Joseph G. Tront, Virginia Tech

Tagged Divisions

Computers in Education

likeexperience with the benefits of a computer. The hardware also allowed for Bluetooth devicessuch as a keyboard to connect to the system. The software for textbooks included many featuressuch as note-taking, highlighting, and search that would have made the Kno fit many of therequirements of a fully featured device. There was even a planned SDK for developers to extendthe system including Google Documents, now Drive, and Microsoft Office Live support.Unfortunately, the project was cancelled in April 2011 in favor of a software only approach. Thecurrent Kno software is web-based and includes annotations and highlighting, however, no pensupport. There is also no easy, built-in way to view two pages at one time as the two screenedtablet would have

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

available shortlyfor download from iTunes App Store for the iPad. We expect to receive critical feedback fromeducators to inform future development and direction for evaluA+. Currently in its first iteration,evaluA+ promises to become an important instructional technology as more features are added.Background and InceptionThe inspiration for the app came while grading technical reports prepared by students for theirterm projects at the end of Fall 2011 term. The students were provided grading rubrics prior tothe assignment submission date and asked to submit a PDF version of their final report via email- all in the effort to eliminate hard copies for assessment purposes. During the evaluation stage ofsuch an assignment, an instructor would

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

the impact of student learning on the following classareas: class assignments, homework, quizzes and exams. Variances between the cohorts wereassessed as part of the second and third semester exams. Three years of results enablinglongitudinal comparison are now possible. This research project has yielded data in a field that hasnot been previously explored within the associated demographic environment. The data gatheredon the comprehension and student perceived value of iPad use in the classroom has been analyzedand very interesting results are presented within this paper. Continuous quality improvement of theinstruments and use is included

Conference Session

Computer Education Innovations I

Collection

2010 Annual Conference & Exposition

Authors

Marcial Lapp, University of Michigan; Jeffrey Ringenberg, University of Michigan; T. Jeff Fleszar, University of Michigan

Tagged Divisions

Computers in Education

, who attempted to predict performance inintroductory computer science courses through a detailed factor analysis. The researchers usedhigh-school grade point averages, ACT/SAT scores, as well as tests such as the IBMProgrammer Aptitude Test as predictors.The work performed by Campell5, Cantwell-Wilson6 and Evans7 suggest that using predictorssuch as mathematical ability and the number and level of previously completed math and sciencecourses indicates computer programming success.A different set of research projects relate a student’s success in a computer programming courseto previous exposure to computer programming and logic courses. Hagan8 and Holden9 illustratea positive correlation between the performance in a computer programming course

Conference Session

Computer Education Innovations I

Collection

2010 Annual Conference & Exposition

Authors

Edward Gehringer, North Carolina State University

Tagged Divisions

Computers in Education

, unusual facts about themselves, and theirWeb pages. They can create the roster by filling out a Google form, as shown in Figure 18. Page 15.1177.13Proceedings of the 2010 American Society for Engineering Education Annual Conference & Exposition 12Copyright  2010, American Society for Engineering Education Figure 18. Class rosterOther administrative uses include registering (self-selected) partnerships for doing particularhomework assignments, and registering for specific project topics when students are asked tochoose from a list of topics for their project. Forms are helpful, but not ideal, for

Conference Session

Programming for Engineering Students

Collection

2010 Annual Conference & Exposition

Authors

William Punch, Michigan State University; Richard Enbody, Michigan State University; Colleen McDonough, Michigan State University; Jon Sticklen, Michigan State University

Tagged Divisions

Computers in Education

processing, especially the application of parallel processing to computational science problems. In 1998 Richard pioneered a CS1 course (first course in Computer Science) over the World Wide Web using RealVideo synchronized with PowerPoint. Together with Bill Punch he recently published a textbook using Python in CS1: The Practice of Computing Using Python (Addison-Wesley, 2010).Colleen McDonough, Michigan State University Colleen A. McDonough is a graduate assistant at the College of Engineering at Michigan State University. She is the coordinator of two component projects of a National Science Foundation grant focusing on retention issues and engaging early engineering students, and also

Conference Session

Computing in the First Year

Collection

2014 ASEE Annual Conference & Exposition

Authors

Sally J. Steadman, University of South Alabama; Gail D. Jefferson, University of South Alabama; Tom G. Thomas, University of South Alabama; Kuang-Ting Hsiao, University of South Alabama

Tagged Divisions

Computers in Education

immediate, visual,verification of project solutions. The students quickly gain skills and facility with both tools,creatively addressing the various assigned tasks. The program has been highly successful incapturing the interest of the participants and has led to increased retention of these students inengineering.IntroductionRecruiting and retaining students in engineering programs is a national problem that has beenaddressed in many, varied ways.1 Many universities offer bridge programs for incomingfreshmen to increase their success in engineering programs.2,3 These programs are oftendesigned to improve skills in fundamental courses such as mathematics and English as well asacademic strategies. In contrast, the University of South Alabama offers

Conference Session

Computers and Simulation

Collection

2012 ASEE Annual Conference & Exposition

Authors

Xiaobo Peng, Prairie View A&M University; Blesson Isaac, Prairie View A&M University; Richard T. Wilkins, Prairie View A&M University

Tagged Divisions

Computers in Education

nanotechnology has nowbrought urgent challenges to undergraduate engineering education: How to integrate theemerging nanotechnologies into classroom teaching? How to prepare our students fortomorrow’s highly competitive global job markets? And how to maintain the US’s leadershipand dominance in science and technology in an era of globalization?Funded by Department of Education, a project is carried out to integrate nanotechnology into theundergraduate science and engineering curricula through a sequential preparation approach fromintroductory freshman to the advanced senior level. The curricula are reinforced by innovativecomputer simulations and state-of-the-art nanomaterials laboratory experiments anddemonstrations. The work presented in this paper is

Conference Session

Computational Tools

Collection

2011 ASEE Annual Conference & Exposition

Authors

Abhijit Nagchaudhuri, University of Maryland, Eastern Shore

Tagged Divisions

Computers in Education

) digitalcontrol using both conventional and intelligent control algorithms for speed control of the DCservo-motor and level-control of dual water tank system, and (ii) remote activation andobservation of these devices over the internet. These devices have been installed in theUniversity of Maryland Eastern Shore Mechatronics and Automation Laboratory(UMESMAL).Other equipment in the laboratory includes LEGO Mindstorms Robotics Invention System/NXT,CONTROL LAB from LEGO-DACTA, MIT HandyBoard and Handy Cricket for outreachactivities to middle and high school students and/or freshman design projects; a four degree offreedom industrial SCARA robot, a computer vision system that can work with the SCARArobot for flexible automation tasks, as well as independent

Conference Session

Hardware Applications

Collection

2011 ASEE Annual Conference & Exposition

Authors

Christopher R. Carroll, University of Minnesota, Duluth

Tagged Divisions

Computers in Education

Pre-Engineering StudentsAbstractDigital circuits pervade many applications in all engineering disciplines today. Digital circuitbasics are easy to introduce early in a pre-engineering curriculum because there are no math orother technical prerequisites, and because the topic sounds glamorous to students. Presentedhere is a lab instrument that serves well for teaching basic, “ground-floor,” digital circuits tostudents who have no engineering background. Also included is a teaching strategy that uses thisinstrument to present digital circuits in an uncomplicated and non-intimidating way. Thismaterial is suitable for high-school students, or even middle school students, and could be usedin pre-engineering courses such as Project Lead the Way’s

Conference Session

Pedagogical Issues in Computing

Collection

2011 ASEE Annual Conference & Exposition

Authors

Sarah Jane Grigg, Clemson University; Lisa Benson, Clemson University; Catherine McGough, Clemson University

Tagged Divisions

Computers in Education

, assessment of motivation, and how motivation affects student learning. She is also involved in projects that utilize Tablet PCs to enhance student learning. Her education includes a B.S. in Bioengineering from the University of Vermont, and M.S. and Ph.D. degrees in Bioengineering from Clemson University.Catherine McGough Page 22.1417.1 c American Society for Engineering Education, 2011 Technology Adoption Behaviors in a First Year Engineering ClassroomAbstract Advancing personalized learning is recognized as one of the grand challenges facing

Conference Session

Computer Education Innovations I

Collection

2010 Annual Conference & Exposition

Authors

Cynthia Fry, Baylor University; Donald Gaitros, Baylor University

Tagged Divisions

Computers in Education

students for the program.IntroductionDeclines in computer science enrollments over the last eight years1, 2 have caused educators toincrease efforts to attract and retain students in computer science. To that end new computerscience curricula and courses are being designed and implemented. Many of these newprograms involve research experiences, diversity, and interdisciplinary programs. There is also amove to develop social communities of students within the computer science majors at a givenuniversity.It has been proven that students involved in undergraduate research projects have a highertendency to stay in computer science and as well as pursue post-graduate work.3, 4 Likewise,research activities at the undergraduate level increase community

Conference Session

Computational Tools and Simulation III

Collection

2010 Annual Conference & Exposition

Authors

Richard Stanley, Kettering University; Gianfranco DiGiuseppe, Kettering University

Tagged Divisions

Computers in Education

/Thermodynamics_Software/Suppliers/pid5061.htm2 Bhattacharjee, S., http://thermo.sdsu.edu/testcenter/3 Patrick Tebbe, Patrick, et.al, “Development of Software Applications forthermodynamics Related Courses: The THERMOVIEW Project”, ASEE AnnualCongress and Exposition, 20014 Friedman, Ella, “Interactive Learning Tools For Undergraduate Thermodynamics”,ASEE Annual Conference, 20045 Kumpaty, Subha, “Learning Enhancement in Thermodynamics Classroom via use ofTEST™ Software in Design Projects and Laboratory”, ASEE Annual Conference, 20026 Gramoll, Kurt, et. al., “Online Interactive Multimedia For EngineeringThermodynamics”, ASEE Annual Conference, 20047 Stanley, Richard, “Interactive Web Based Animation Software: An Efficient Way toIncrease the Engineering

Conference Session

Computational Tools and Simulation III

Collection

2010 Annual Conference & Exposition

Authors

Aparna Sukhavasi, Missouri University of Science and Technology; Richard Hall, Missouri University of Science and Technology; Hong Sheng, Missouri University of Science and Technology; Ronaldo Luna, Missouri University of Science and Technology

Tagged Divisions

Computers in Education

be used in the classes where students are learning civil engineering concepts andalso have a first order working knowledge of these concepts. The student’s knowledge ofGIS is diverse, since the course where the system is being tested is multidisciplinary withstudents from various engineering disciplines like civil engineering, architecturalengineering, and geological engineering. This diversity of previous knowledge was animportant factor while designing as it had direct impact on the performance of the students.The overall goal of this project was to evaluate the effectiveness of the module, which coversgeotechnical engineering and, to identify factors that mediate this effectiveness based on thedata collected from students who used the e

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Fadi Castronovo, California State University, East Bay; Semih Yilmaz, California State University, East Bay; Akarsh Rao, Immersive and Interactive Research Group; Walter Condori Jr., California State University, East Bay; Karan Monga, STEM Educational Gaming Research Group; Hadiseh Gooranorimi, California State University, East Bay

Tagged Divisions

Computers in Education

the engineering department, support the students in gaining competitive technical and problem-solving skills, stimulate student’s involvement in research, and promote new internal and external research. His previous research efforts have focused on the NSF-funded Virtual Construction Simulator (VCS) research project. The VCS is an educational simu- lation game design to support college construction engineering students in developing complex problem- solving skills. To have a strong assessment of the educational value of the game, he pursued a minor in Educational Psychology at the Educational Psychology Department at Penn State. This experience allowed him to gain invaluable knowledge in the field of cognitive

Conference Session

Programming for Engineering Students

Collection

2007 Annual Conference & Exposition

Authors

Brianno Coller, Northern Illinois University

Tagged Divisions

Computers in Education

cars to drive and new tracks to drive upon. Also, completion of a level, brings on a newchallenge that requires students to learn new numerical methods and to apply them. The courseclimaxes with an open-ended project in which students form teams and participate in a friendlycompetition.2.1 Additional Learning OpportunitiesIn addition to the learning outcomes related specifically to numerical methods as outlined in thefirst paragraph of Section 2, we have additional learning outcomes in MEE 381 related directlyto improving students’ programming skills. If new (multi-platform) textbooks8, 11, 12, 16, 20, 21 are anyindication of national trends, it appears that we are swimming against the current. Instead of be-ing exposed to a sampling of

Conference Session

Tablet and Portable PCs for Education

Collection

2009 Annual Conference & Exposition

Authors

Ricky Castles, Virginia Tech; Eric Scott, Virginia Tech; Jenny Lo, Virginia Tech; Vinod Lohani, Virginia Tech

Tagged Divisions

Computers in Education

engineering issues, use of electronicportfolio (e-portfolio) for instruction, and a mechatronics initiativedesigned to introduce multi-disciplinary engineering concepts to engineering freshmen. In the 2006-07 academic year, TabletPC-based instruction was introduced in this course. In Fall 2007, DyKnow, a classroominteraction software package, was implemented to develop a participatory learning environmentin EngE1024. A number of assessment (formative and summative) activities are beingimplemented in EngE1024 as part of the DLR project to evaluate the learning experiences offreshmen. Typically, about 1700 freshmen take this course every year with about 1400 in the Fallsemester. In the Fall semester, the EngE1024 teaching team typically involves five

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

the questions on the final exam wouldbe based on the material that they posted. The expectation was that students would not only postcontent but edit each other’s posts and engage in collaborative learning. Cole reports that afterfive weeks (halfway through the course), there had been no posts to the wiki! Volunteer groupinterviews with the students elicited such reasons as lack of time or pressure of other work, etc.Leung and Chu 34 report on the results of the use of a wiki for collaborative learning in an un-dergraduate course on knowledge management. The class had 21 students in it, divided into fourgroups, each with a group leader who was responsible for coordinating the group’s work. Eachgroup had to use a wiki to work on its project

Conference Session

Embedded Computing

Collection

2007 Annual Conference & Exposition

Authors

Keith Curtis, Microchip Technology Inc.

Tagged Divisions

Computers in Education

engineering shortcutsnecessary to accomplish miracles in engineering productivity. Then, in an engineeringrite of passage, they would graduate to handling their own projects and become a fullpartner in the engineering brotherhood. In time, their experience would transform theminto the older, more-experienced engineers that had mentored them, and they would inturn pass their wisdom on to the next generation of new college graduates.Unfortunately, in today’s embedded microcontroller job market, this ancient andbeneficent brotherhood of engineering is long gone. Engineers seldom spend more than3-5 years with a single company, so employers are reluctant to invest a year’s salary inmentoring. The older, more-experienced engineers that once would have been

Conference Session

Computers in Education 10 - Technology 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Tristan M. Ericson, York College of Pennsylvania

Tagged Divisions

Computers in Education

learning new material. It has been used in upper-level coursesparticularly geared toward project-based learning [11].2. Motivation to use MATLAB/Simulink in the senior electiveThe strategies described in this paper were understood through a course in mechanical vibrations.This is a senior level elective course with an emphasis on practical complex problems.Challenging problems in industry generally require computers, so one course objective hasalways been “use computer tools to analyze linear and nonlinear vibration systems.” For thereader uninterested in vibration applications, note that “nonlinear vibration systems” areextremely difficult to solve without a computer and never attempted at the undergraduate level.MATLAB and Simulink are well

Conference Session

Computers in Education 10 - Technology 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Christian E. Lopez, Lafayette College; Omar Ashour, Pennsylvania State University; James Devin Cunningham, Carnegie Mellon University; Conrad Tucker, Carnegie Mellon University

Tagged Divisions

Computers in Education

work presented in thispaper is part of an ongoing project to investigate the effectiveness of the CLICK approach inachieving this goal.3. Effectiveness of the CLICK Approach Study3.1 Immersive 3D Simulation Learning ModuleA 3D simulation model for a manufacturing assembly system was built in Simio® for thelearning module. Simio® is a software package that can be used to create and run dynamicmodels of systems with the ability to build 3D animations [44]. The system represents a tablelamp manufacturing assembly environment. Figure 1 shows a snapshot of the environment. Theoverall process starts with creating the base part of the table lamp using injection moldingmachines, the base parts are then cooled down and transported to a preparation

Conference Session

Computational Tools and Simulation II

Collection

2009 Annual Conference & Exposition

Authors

Radian Belu, Drexel University; Alexandru Belu, Case Western Reserve University

Tagged Divisions

Computers in Education

developed and are now available for largeand small computers. However, they are not used with the same extent in teaching andlearning difficult subjects of engineering such as electromagnetics. Our approach isdifferent and it is based on the following ideas:≠ The general-purpose symbolic packages (in our case, Maple) are used to do actualsymbolic calculation and to analytically solve the electromagnetic field equations.≠ The approach is project-oriented, in that the students are asked to solve new problems,based on models elaborated by the teaching staff.≠ The students' activity is finalized by scientific reports containing text, formulas andgraphics, while full advantage is taken of the evaluation and visualization capabilities.≠ The students are

Conference Session

Computational Tools and Simulation III

Collection

2009 Annual Conference & Exposition

Authors

Krishna Madhavan, Purdue University; Jacob Schroeder, Clemson University; Hanjun Xian, Clemson University

Tagged Divisions

Computers in Education

platform. However, they do not Page 14.592.5report any results from a traditional control group.In three related studies20-22, group dynamics and performance between teams of studentscommunicating over the Internet (experimental) were compared with teams of studentscommunicating in a traditional face-to-face manner (control). Whitman et al.20 reported thatstudent teams in the experimental group performed equally as well on a final project as studentteams in the control group. But, teams in the control group indicated higher levels of satisfactionwith various measures of group dynamics. Kirschman and Greenstein21 reported higher levels

Conference Session

Programming for Engineering Students I

Collection

2009 Annual Conference & Exposition

Authors

Melinda Hess, University of South Florida; Autar Kaw, University of South Florida; Corina Owens, University of South Florida

Tagged Divisions

Computers in Education

either in the past or future.The findings of this study will not only serve to inform the project leadership regardingthe effectiveness of the modules, but will also provide the greater community with abreadth of valuable tools and information to both guide online instruction in other coursesand at other institutions as well as the evaluation of these courses.Description of ModulesThe web-based modules12 used in support of the class are customized and holistic indesign. The modules provide an overview of essential background needed for the course Page 14.923.3and present course materials and information using a variety of tools and deliverymethods

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

performance incourse exams. They report that student performance in the course projects in the FC version of thecourse was better than student performance in the traditional version by an average of 12 percent. Page 24.1395.3They also report that this improvement was not seen in one section of the FC version of the course;and they attribute this to the fact that the instructor in that section “neglected to utilize modelingand demonstration techniques . . . ”. This, of course, raises the question, which the authors do notconsider, of whether the performance of the students in the projects in the traditional version ofthe course would have matched

Conference Session

Computers in Education Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Petr Johanes, Stanford University; Larry Lagerstrom, Stanford University

Tagged Divisions

Computers in Education

development included four courses the first year, sixcourses the second year, and up to nine courses the third year (all of which already existed intraditional course formats). The initial four courses—applied quantum mechanics, digitalsignal processing, digital image processing, and convex optimization—were chosen basedprimarily on the interest and availability of the regular instructors to develop online coursematerials. All were graduate courses, though at the introductory level, and therefore open toadvanced undergraduates.Funding for the program came from the University’s recently created Office of the ViceProvost for Online Learning (VPOL), which had requested proposals from departments thatwent beyond single-course projects. Each of the four

Conference Session

Software and Programming

Collection

2015 ASEE Annual Conference & Exposition

Authors

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

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

Paper ID #12501Presenting Test Benches and Device Characteristics of Programmable LogicIn An Introductory Logic Circuits CourseDr. Krista M Hill, University of Hartford Dr. Krista M. Hill is an associate professor in Electrical and Computer Engineering at the University of Hartford in Connecticut. PhD and MSEE from Worcester Polytechnic Inst. in Worcester MA, and previ- ously a project engineer at Digital Equipment Corp. She instructs graduate and undergraduate computer engineering computer courses, directs graduate research, and performs research involving embedded mi- croprocessor based systems. Her current projects

Conference Session

Computing Technology Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Petr Johanes, Stanford University; Larry Lagerstrom, Stanford University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

(OLI), started at Carnegie Mellon University in 2002,and Smart Sparrow emerged in 2010 thanks to work started in 2007 in the engineering school atthe University of New South Wales. Furthermore, many of the online learning platformscurrently developing MOOCs and increasingly deploying adaptive learning, such as Coursera,Udacity, and Open EdEx, also emerged from universities, as have usually the algorithms thesecompanies are now using. For example, Montana State University is in the middle of a multi-year project to introduce adaptive learning into its digital logic courses. [28] Universities havealso invested in developing predictive student models for use in early warning systems for at-riskstudents. These models assist in the design and

Conference Session

COED: Online and Blended Learning Part 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Computers in Education

collaborative learning is not directly relevant to our approach since thekinds of activities considered in much of that work, e.g., team projects in capstone design coursesas well as in several of the systems listed above do not, for the most part, involve students in ateam trying to resolve cognitive conflicts. Indeed, students in such teams often go out of their wayto not criticize the ideas offered by other members of the team for fear of offending them. Morerelevant for us is the work on the role of argumentation in learning. But, as Driver et al. [8] putit, “[although] argument is a central feature of the resolution of scientific controversies, scienceteaching has paid . . . little attention to [this] practice . . . It is our contention that