around the senior design project. While the Aerospace Engineeringdepartment has been active in increasing design and laboratory content throughout thecurriculum, certain courses have changed little over the many years they have been taught. SolidMechanics is one of these courses.Solid Mechanics, typically taken during the second semester of the sophomore year byengineering students, has been taught to aspiring mechanical, civil, and aerospace engineers fornumerous decades, and the course content has changed little over that period of time. SolidMechanics may be considered the first course in engineering structures (perhaps this could beargued, depending on how one views the prerequisite course Statics), and involves computingthe stresses and
person shooters”, where the user controls themovements and actions of a computer character and the visual display mimics the perspective ofwhat the in-game character would see with his/her own eyes.Some non-entertainment applications of game engines are immersive first person environmentalexploration, social interactions or tactical simulations involving multiple users as well as creatinganimated 3-D movies. The “Unreal” engine for example has been used in the CaveUT project atthe University of Pittsburgh, which aims at designing an affordable open space virtual realityexperience.6 A main computer hosts the “Unreal” game with two other client computers inspectator mode functioning as cameras attached to the user controlled avatar.a Modifications
panels, and tires. She has also worked on numerous projects to create advanced engineering design and learning environments, which include mul- timodal user interfaces for space systems. As Vice President of Information Technology, Peters directs the development of advanced virtual reality applications, including scientific visualization applications and web-based multimedia education/training applications.Dr. Hazim A. El-Mounayri, Indiana University-Purdue University, Indianapolis Hazim El-Mounayri is an Associate Professor of M.E. and the Co-director of the Advanced Engineering and Manufacturing Laboratory (AEML) at IUPUI. The AEML is currently conducting research in virtual manufacturing and intelligent (multiscale
system where different programmingconcepts can be tried by students. Students can interact with the animation as if they werediscussing a problem with a professor. Students can see their scores once a training module iscompleted. Other functionalities like class stats generation are also being integrated into thesystem. Some snapshots of the system and training activity are depicted in Figure 6 and 7. Figure 6. Snapshots of a student taking a training of two interactive questions Figure 7. Snapshots of an instructor editing learning modules and course informationOngoing Project at PVAMU and ImplementationOur system and learning modules have unique features that other courseware does not have.Through pilot testing of several
, each of which focused on particular computational thinking concepts likeproblem solving and abstraction. They showed that their activities could successfully introduce theseconcepts to middle school females. Intricate projects constructed with such tools required weeks oflearning. Some projects took up to several months of work [7]. Yardi & Buckman [12] created anafterschool program for high school students to promote their computational thinking. Page 24.950.2We propose to teach even younger students, elementary school children, these computational thinkingconcepts.In this paper we first describe our motivation behind creating an
recommendations to strengthen game research, theauthors made note of the high potential for games to impact learning.As with the previous five years, the three themes were distinct on the concept map. The topicswere also conceptually similar, with a topic on design of the learning environment (i.e.,Instructional Design; Figure 4), a topic on pedagogical frameworks (i.e., Concepts), and a topicon content areas (i.e., STEM). Figure 4: 2011-2015 concept map.Several of the trends in the abstracts continued from the the previous five years, but with a shift infocus (Table 3). First, the Instructional Design topic included concepts on strategies for activelearning and teaching. Studies include project-based 37 38 and engineering
AC 2009-1244: DESIGN CONSIDERATIONS FOR VIRTUAL-CLASSROOM ANDLABORATORY ENVIRONMENTSCharles Lesko, East Carolina University Charles Lesko is an Assistant Professor in the Department of Technology Systems, College of Technology & Computer Science at East Carolina University. He received his BS at the US Naval Academy; he holds a MS in Forensics from National University and a second MS in Computer Information Systems from Boston University; his PhD is in Applied Management from Walden University. His current teaching and research regime focus on strategic technology management and communication, information technology project management, and virtual reality technology use in the
based on the concept of Paretodominance.In EvoParsons, we use a variant of PPHC, named PPHC-P. This variant uses Pareto dominancefor both candidate and test evolution 30 . From the implementation perspective, we leveragedtime-established, software components; • Amruth Kumar’s latest extension to the Problet tutoring system, Epplets, available at http://epplets.org/, which allows students to interact with Parsons puzzles and receive automated feedback. • Sean Luke’s ECJ Java framework, available at https://cs.gmu.edu/texttildelow/projects/ecj/, which provides implementations of many EA variants and that we extend to also implement P-PHC-C.We extend both components so as to allow them to inter-operate via the broker, and
Classroom of the Future in Wheeling, W.Va. She was on loan to the Air Force Human Resources Laboratory from 1989 to 1995, managing a project to transition advanced instructional technologies to ten different middle schools located in five states. She is on the editorial board of three professional publications and has served as National Research Council Senior Fellow assigned to the Air Force Human Resources Laboratory. In her spare time, Pat enjoys reading and gardening.Ryan Smith, Rose-Hulman Institute of Technology Ryan Smith has served as webmaster and system administrator of the PRISM Project for the past 14 years. He is a 2002 computer engineering graduate of Rose-Hulman Institute of Technology. As part of his
on federal and industry funded projects totaling over $20M. Page 26.964.1 c American Society for Engineering Education, 2015 A Comparative Analysis of Information Sharing and Access to Engineering Education Research DataAbstract The rapid growth of engineering education as a field of rigorous research has resulted inan explosion of available data and research results. There are numerous research efforts currentlyunderway that gather data on a variety of topics that have the potential to help us betterunderstand how students learn engineering. However, there are
Tau Sigma and Tau Beta Pi. He worked for the Air Force Research Laboratories in Dayton, OH, during the summers of 2000 and 2001. He is currently a doctoral student at Polytechnic University. His research interests include control of mechanical and aerospace systems.Vikram Kapila, Polytechnic University VIKRAM KAPILA is an Associate Professor of Mechanical Engineering at Polytechnic University, Brooklyn, NY, where he directs an NSF funded Web-Enabled Mechatronics and Process Control Remote Laboratory, an NSF funded Research Experience for Teachers Site in Mechatronics that has been featured on WABC-TV and NY1 News, and an NSF funded GK-12 Fellows project. He has held visiting positions with
. Page 24.1058.1 c American Society for Engineering Education, 2014 RoboSim for Integrated Computing and STEM EducationAbstractThis paper describes the design, implementation, and application of RoboSim, a robotvirtual environment, for integrated computing and STEM education in K-12 schools.Robots are being increasingly used in schools for hands-on project-based learning andmotivating students to pursue careers in Science, Technology, Engineering, andMathematics (STEM). However high costs and hardware issues are often prohibitive forusing robotics as often as desired in mathematics and science classroom teaching. Due tothe tight schedule for teaching math and science subjects, hardware mishap and failure,such as
Innovation and also on Virtu- alized Active Learning. He has completed over 275 technical and educational publications, 47 funded projects as PI/Co-I, and 22 Ph.D. graduates. He serves as the founding Director of the Evaluation and Proficiency Center (EPC), is an iSTEM Fellow, and the Digital Learning Faculty Fellow at UCF. He received the UCF university-level Scholarship of Teaching and Learning Award twice, Teaching Initia- tive Program Award four times, Research Initiative Award twice, Excellence in Undergraduate Teaching Award, Advisor of the Year, Distinguished Research Lecturer, Marchioli Collective Impact Award, the Effective Practice Award from Online Learning Consortium, and the Joseph M. Biedenbach Outstanding
thestudents in learning about their discipline. However this engagement must be done in a way thatpermits multiple instructors and multiple sections to be taught to offer uniformity in computingexperiences. “Scale” is important at lower level classes simply due to the number of studentsand the limited teaching resources. During the second offering (Fall 2006), a formal anonymoussurvey by our director of assessment was performed to ascertain the impact of our approach (SeeAppendix A for the entire set of questions and results). The questionnaire represents a 90%return from both sections. The questions were designed to ask their confidence with Excel andVBA, opinions of the class, course components as well as homework and project assignments. Afew
(Michigan State University Outreach and Engagement). She is involved in usability evaluations, focus groups, and information architecture projects for MSU and external clients. Her research areas include effects of cooperative online learning, interventions based on cognitive flexibility theory for read- ing to learn on the web, and student motivation and achievement in flipped classrooms. Hannah holds a B.A. in Psychology from the University of Bonn, a M.A. in Communication from the University of Missouri, and a Ph.D. in both Communication and Educational Psychology and Educational Technology from Michigan State University. c American Society for Engineering Education, 2017 Using
is the cause of inadequate pressure, and (c) realizing that the water tower isinsufficient to meet the minimum required water pressure at the current daily demand. Figure 1-ii–iv show some views corresponding to these tasks in the FS case study.The municipal engineer is then tasked with designing a new water tower that provides adequatepressure at the base of the water tower throughout the day while not exceeding the maximumpressure rating imposed by the town’s old pipe network. The new water tower is also expected tomeet the minimum/maximum pressure constraints for both current and projected (1.5x) demand.Designing the new water tower that meets all the design requirements (minimum/maximumpressure at current and projected demands) involves
Paper ID #18657THE USE OF DECISION MAKING MULTI-MEDIA COMPONENTS INELUCIDATING THE CONSTRUCTION METHODS OF THE ST. GEORGECHURCH IN LALIBELA, ETHIOPIAMr. Bart Malone Ridgill, The Ohio State University Bart M. Ridgill is a graduate student in Civil Engineering at The Ohio State University. He holds an A.S. in Engineering Graphics from Piedmont Technical College and a B.S. in Construction Engineering Technology from The University of Akron. At the time of this writing, he is a Project Manager for Facilities Design and Construction at The Ohio State University.Dr. Adrian Hadipriono Tan, The Ohio State University Adrian H. Tan
. She began teaching computer science at Reynolds Community College in Richmond, Virginia in 2009 and moved to VCU in August 2016. Debra has served on the advisory board for Lighthouse for Computer Science (LH4CS). The goal of the Lighthouse project is to improve computer science diversity through faculty professional development. In addition, she is a member of the Advisory Council for the Deep Run High School’s Center for Informa- tion Technology in Glen Allen, Virginia, where she provides program support and assists in curriculum development for their technology-based preparatory program for future computer scientists.Mr. Alex David Radermacher, North Dakota State University Alex Radermacher is a lecturer at North
require technological understanding to remain competitive in a job market driven by advancingtechnology. The Bureau of Labor Statistics projects that occupations in information technology andComputer Science will grow 13 percent from 2016 to 2026 [1]. Regardless, most K-12 schools in theUS and other countries do not currently offer Computer Science courses, so state legislatures haveturned their attention to incorporating these programming skills in K-12 curricula. For example, inthe Wyoming Legislature’s 2018 Budget Session, Senate File 29 was passed, adding Computer Sci-ence and computational thinking to the state educational program [2]. This bill requires ComputerScience to be incorporated into the K-12 curriculum by the 2022-23 school year
-warningsystem to allow faculty to notify students who may be at risk of failing a particular course19.Also, data have been used to understand differences across students in online learning strategiesto allow course designers to build a more personalized experience for different subgroups oflearners20,21. With an increase in the number of available data sources, colleges and universitieshave a great opportunity to explore how data can shape, enhance, and direct learning at all levels.Despite the need to investigate multiple categories of data from different areas of studentlearning, learning analtyics projects have relied heavily on learning management systems tocapture student learning processes. For example, Macfadyen and Dawson (2012)22 did a
managing director of the Center for Learning and Knowledge Man- agement of the RWTH Aachen University in February 2011. With a doctorate in Communication Science, she has been working at the IMA/ZLW & IfU Institute Cluster since 2003, from 2008 to 2010 as man- ager of the Business and Research Division: Knowledge Management. In 2004 Anja Richert completed her degree in Communication Science with a distinction at the RWTH Aachen University. In December 2007, she gained her doctorate in the field of e-learning, likewise with a distinction. In the years 2010 and 2011 she received the International E-Learning Award (IELA) for the projects ROLE and RELOAD with the e-learning solutions developed under her leadership
Science and Engineer- ing at the University of Illinois at Urbana-Champaign. He obtained his Diploma and Ph.D. at Friedrich- Schiller-University in Jena, Germany for his theoretical work on transparent conducting oxides. Before he started at UIUC he worked as a Postdoctoral Researcher at Lawrence Livermore National Laboratory on a project that aimed at a description of non-adiabatic electron ion dynamics. His research revolves around excited electronic states and their dynamics in various materials using accurate computational methods and making use of modern super computers in order to understand, for instance, how light is absorbed in photo-voltaic materials. c American Society for
critical thinking activities. LCs first cameto our institution, City Tech, through a Title V Grant in 2000 and were adopted by the college in2005. The academic performance of students participating in LCs at City Tech reflects nationaltrends. When compared to the general population at the College, students in LC earn higherGPAs, have higher retention rates, and demonstrate greater satisfaction.In order to complement the community-building efforts within learning community classrooms,we, a cohort of faculty leaders and administrators of City Tech’s First Year LearningCommunities, a program offered through the college’s Office of First Year Programs, developed“Our Stories” digital writing project which extends the student’s network beyond the
Page 12.58.2 as a parameter). • A 3-d plot of the solution as a function of location and time. • An animation of the solution as a function of the spatial variable as time evolves. This is a closely spaced (in time) version of the second method.Although when the project was initiated it was thought that a 3-d image of the solution might besuperior, the authors have discovered that by far the most effective of the above-mentionedpresentation schemes is the one involving animation.MATLAB scripts for a variety of physical problems involving one spatial variable and time havebeen written. The exception involves the steady flow streamlines for a fluid dynamics problems.In that which follows the problems are categorized by the
, audiovisual material, discovery-based learning activities andcommunication tools can improve the effectiveness of subject content delivery in engineering.More studies on how online instruction in engineering can replace and be as effective as, orbetter than, traditional face-to-face instruction are needed.The creation of virtual classroom space through the use of a synchronous learning environmentto reduce “transactional” distance27 has been shown to improve the quality of the educationalexperiences of online students28,29,30. This virtual classroom space can also be used to develop adual mode of delivery to reach students online and on campus simultaneously. By assigningidentical homework, exams, projects, and other course requirements to both
have already been inefficiently implemented hence, aneed to go back and rework some of the implementation.Another major challenge is the support for multiple screen sizes. Although the HTML5-basedlaboratories can work on various devices another limitation is the multiple screen sizes. It is achallenge to design images that will likely fit into screens when different platforms are used.Future WorksThe work is an ongoing project thus the pH measurement and Ohms law lab are yet to bedeveloped. Also work is still being done to handle compatibility on various screen sizes.The authors focused on the development of laboratories for lower level Science andEngineering subjects as these are the subjects in which there are the largest number ofstudents
sustaining virtual learning and teaching communities through acloud computing service (Blade servers) and enhancing student motivation and performance inMath by using interactive simulation programs. As part of the project, we have developed aseries of MATLAB-based simulations delivered through our Blade servers to help students betterconceptualize abstract Math concepts. During the fall semester of 2010, we implemented 12simulations in a Multivariable & Vector Calculus class in which 117 students were enrolled. Tobetter understand the overall program usability via Blade servers and the value of the simulationsfrom the student perspective, we conducted an evaluation study and answered the following threequestions: 1. How do students perceive the
-basedlearning projects, assignments, exams, and journals. Page 22.1640.9Students’ initial conceptions provided the foundation on which more formal understanding of thesubject matter was built. Further, frequent formative assessment helped make students’ thinkingvisible to themselves, their peers, and their instructor. Facilitated by Tablet PC technologies,feedback (in both courses) that guided modification/refinement in thinking increased.Additionally, the project has had several other important impacts, particularly on instructoridentifying the most common difficulties in undergraduate and graduate food chemistry courseswhile providing
is adapted from the CapabilityMaturity Model and SPICE project from the software development industry.14,15 It is the E-Learning Maturity Model (eMM).16 eMM focuses on the process nature of on-line education atan institutional level. Through this framework, institutions assess their capability to develop,deploy, and support e-learning. The emphasis of eMM is on-going improvement of e-learningprocesses. The eMM framework defines the following levels of capability with respect to aninstitution’s e-learning initiatives. 1. Initial Level – no formal processes, institutional ad-hoc approach to e-learning. 2. Planned Level – deliberate processes, institutional planned approach to e-learning
develop and debug programs by performingthe class exercises along with individual and group programming projects. Outcomes areassessed using completed class exercises and projects along with quizzes and exams. Feedbackfrom class exercises is immediate. Projects are assigned approximately every week and a half Page 23.1395.3and ideally returned within a week. This type of instruction requires students to be prepared forclass, hence encouraging student ownership and participation in their learning outcomes (a ASEE 2013 Annual Conferencemetacognitive approach 10). In addition, with the incorporation of