. Once all team members were in the virtual laboratoryenvironment, they negotiated the division of the tasks involved in the experimental procedureamongst each other using the integrated instant messaging feature. Each student participatedactively in the assembly process of the simple gear train setup as shown in Figure 6. For studentsthat needed additional help (e.g. regarding the order in which the components needed to beassembled or how to pick and place an object), a virtual instructor was available at all times.After assembling the simple gear train experiment, the students were asked to build differentexperimental setups, including a simple gear train with one idler gear, a simple gear train with anodd number of idler gears and a simple
usage of new technology and notparticipant observation.Future work planned for this ongoing research should expand to the following areas: 1)development of an iBook for the iPad on the more complex engineering topics to increaseclassroom performance as shown from the Exam II results, 2) the digitalization of the coursetextbook and implementation on the iPad platform which could greatly impact the study habits ofthe students, and 3) the implementation of the iPad in higher-level engineering classes.1 Jacobsen, D. M., "Adoption patterns of faculty who integrate computer technology for teaching and learning in2higher Gibbons, education," M. T., “The 1998Year World
OverviewThe online assessment presented in this paper was used in conjunction with a first-yearengineering course that focused on computer programming. First-year students typically have aset of core courses, including mathematics, science, physics, etc. In addition to these traditionalcourses, students are also exposed to the C++ programming language as part of their first-yearengineering curriculum. The fundamental programming course runs for a 14-week semester withthree 1-hour lectures per week and two 1-hour lab sessions per week. Since this class is requiredfor all first-year students, a student’s familiarity with programming and overall background maybe different. This forces the course to begin with an introduction to programming. It
in the Department of Software Engineering at Rochester Institute of Technology. He has been actively involved in the development of this program, the first undergraduate software engineering program in the United States. This involvement included bringing active learning and problem-based learning into the curriculum, developing an inter-disciplinary course sequence in real-time and embedded systems, and guiding the program through its ABET accreditation. Prior to RIT, Dr. Vallino had seventeen years of software development experience in industry, followed by his PhD studies in Computer Science at the University of Rochester. His research interests include pedagogy for software engineering
all students into the course can view. If students are all workingon the same type of document or the same type of project, for instance, an instructor could createa video showing a ‘good’ example that would help students as they work on their ownassignment. This would allow students to see a representation of “good work” without requiringthat individual videos be created for each student. It would also be interesting to discover if thistype of feedback would help build community in online courses and strengthen the connectionbetween students at a distance and the instructor.Works Cited:[1] Norback, J. S., & Hardin, J. (2005, December). Integrating Workforce Communication Into Senior Design Tutorial. IEEE Transactions on
additionaladvantages to students, instructors, and authors.References[1] Koller, D., & Ng, A. (2013, January). The online revolution: Education for everyone. InSeminar Presentation at the Said Business School, Oxford University. Retrieved from http://www.youtube. com/watch.[2] Mohammed, M. K. O. (2020, February). Teaching Formal Languages through Visualizations,Simulators, Auto-graded Exercises, and Programmed Instruction. In Proceedings of the 51stACM Technical Symposium on Computer Science Education (pp. 1429-1429).[3] Basitere, M., & Ivala, E. N. (2017). An Evaluation of the Effectiveness of the use ofMultimedia and Wiley Plus Web-Based Homework System in Enhancing Learning in TheChemical Engineering Extended Curriculum Program Physics Course
Department. Dr. Welch's research interests include the implementation of communication systems using DSP-based techniques, DSP education, and RF signal propagation. He is a member of ASEE, IEEE, Tau Beta Pi, and Eta Kappa Nu. E-mail: t.b.welch@ieee.orgMichael Morrow, University of Wisconsin-Madison Michael G. Morrow, MEngEE, P.E., is a Faculty Associate in the Department of Electrical and Computer Engineering at the University of Wisconsin, Madison, WI. His research interests include real-time digital systems, embedded system design, software engineering, curriculum design, and educational assessment techniques. He is a member of ASEE and IEEE. E-mail: morrow@ieee.orgGerald Vineyard, U.S
is most effective when it reflects an understanding of learning as multidimensional, integrated, and revealed in performance over time. Formative assessment across the software application development process is intentionally integrated into the project. Each learning objective is addressed by at least two means of assessment. 3. Assessment works best when the programs it seeks to improve have clear, explicitly stated purposes. As the first-year students are still developing programmers, opportunities for formative assessment feedback are placed at critical points in the design process. 4. Assessment requires attention to outcomes but also and equally to the experiences that lead to those outcomes. Kolb’s
value causing a rapiddecline of intelligibility.Other studies have examined how delay affects fundamental learning processes, rather thanexamining it in the specific context of network information transfer. Maddox et al.6 investigatedthe effects of delaying feedback on ruled-based and information-integration learning. Rule-based skills require the learner to apply an explicit reasoning process, whereas information-integration skills require the learner to integrate existing knowledge, for example to infer theresults of decreasing a resistor’s value given Ohm’s Law and the power equation. They reportedthat feedback delay did not appear to affect the rule-based learning but significantly hinderedinformation-integration learning, such as
, simulation can enhance a student’s problem solving skills,”2 (p. 1).Within engineering education, there is a constant effort to prepare students to enter theprofessional world. With the adoption of the ABET EC2000 criteria and the a-k programoutcomes, professional skills have moved to the forefront of the engineering curricula3. Industryadvisory committee members across the curriculum suggested a real need for students to developand maintain skills important to their specialized field of study, but can be integrated withspecific business elements such as, word processing, professional writing, and budgetarymanagement. Scachitti also highlighted this multidisciplinary challenge stating, “whetherstudents find employment in manufacturing, healthcare or
engineering with emphasis on robotics.Patrick Hager, Georgia Institute of Technology Patrick S. Hager is currently an undergraduate student at the Georgia Institute of Technology, and is working on obtaining his B.S. in civil engineering. His current area of interest is in bridge design, and restoration. As a structural engineer he hopes to be an integral part of the nation’s transportation infrastructure rehabilitation. Page 14.26.1© American Society for Engineering Education, 2009 A Different VIEW: Virtual Interactive Engineering on the WebAbstractVirtual laboratories and modules are used in most universities to reinforce concepts from lecturematerial
short questionnairewas administered to the students. The questionnaire had 3 questions: 1. Do you feel you were interacting with real hardware? 2. Is the laboratory interesting or worthwhile? 3. Does this interface correctly reflect what you would have done in a real lab?Table 1 shows the results of the post-experiment activities. The results in Table 1 suggests thathaving performed the AM iLab experiment using interface A, users had a better understanding ofwhat amplitude modulation entails. The interface aided their understanding by walking themthrough the step wise process in creating an AM signal. This was made possible because everywire connection was an integral part of the AM block diagram and it helped the user visualize
engagement looks like with keyboard and mouse input; however, thereare cases when the model will fail. For example, when the student is taking a long time to input aresponse, this model would consider the subject to be engaged and assume that the student iseither thinking or working the problem out on pencil and paper. What if the student is actuallytalking to a peer and still manages to submit an answer before the computer categorizes him orher as disengaged? For situations like this, we would like to integrate a robotic platform into thisintelligent tutoring system to reinforce engagement.More specifically, the long-term goal is to create an adaptive robotic tutor using a humanoidrobot in conjunction with a touchscreen device. Therefore, we would
perception, spatial attention, and multisensory integration. He has published over 100 peer-reviewed papers and given numerous contributed and invited talks. He is a member of the Editorial Board for the international journals NeuroReport and Vision, and is an Associate Editor for the journal Frontiers in Human Neuroscience. Dr. McCourt is a regular reviewer for over 50 scientific journals, and has reviewed for major funding agencies such as NIH, NSF, AFOSR, the Netherlands Organization for Scientific Research, the US-Israel Bi-National Science Foundation, the Canada Research Chairs Pro- gram, the Canada National Sciences and Engineering Council, and the Wellcome Trust. Dr. McCourt has received over $31M in competitive
problem solving andhands-on experiences representing the essence of the engineering profession. New engineeringtools, a deeper understanding of the responsibilities of engineers to society and the environment,and an appreciation for the diverse and global nature of the workplace are continuallyincorporated into the engineering curriculum (Gilbert, 2003).For incoming freshman in 2006, a Tablet PC computing initiative mandated the purchase of aTablet rather than the previously required laptop. The initiative is supported by an alliancebetween Virginia Tech’s College of Engineering, Fujitsu Computer Systems Corportation, andMicrosoft Corporation offering students higher levels of hardware and software purchasingpower and support. A current
running programs entirely on their computer.Instructional StrategiesThese labs can be implemented in various classroom settings. They provide ideas for teachers as wellas flexible applications. Each lab includes ways of tuning the complexity and difficulty of each activity,depending on the students being taught and the lesson time frame. We focused heavily on creating 3labs that could be easily integrated into current curriculum and supplement existing lesson plans. Thismakes teaching Computer Science principles less demanding and much more attainable. Participants were more engaged when labs started slow and worked up incrementally to more com-plex ideas. Before starting the labs, we
Materials Science at Michigan State University. Dr. Briedis has been involved in several areas of education research including student retention, curriculum redesign, and the use of technology in the classroom. She is a co- PI on two NSF grants in the areas of integration of computation in engineering curricula and in developing comprehensive strategies to retain early engineering students. She is active nationally and internationally in engineering accreditation and is a Fellow of ABET.Neeraj Buch, Michigan State University Dr. Neeraj Buch is a Professor in the Department of Civil and Environmental Engineering at Michigan State University. He is also the Director of Cornerstone Engineering
critical to thesuccess of engineering curriculums—was developed as a new educational model. CBVCemploys computer animation and other virtual visual tools that cannot be employed in traditionalclassroom settings. In CBVC, interactive questions are integrated within lectures—a model thatreinforces the assimilation of fundamental topics. Surveys conducted on the efficacy of CBVCshow that 80% of students questioned benefit from using CBVC, and 20% believe CBVC mayreplace conventional classrooms.1. IntroductionAt present, many engineering courses mandate the use of computers1.. Computers areincreasingly playing a major role in the learning process, and the number of college students whoown a computer is on the rise. The OpenCourseWare (OCW) Program at
offerings, 7 years, 4 instructors, and about 1,500students, we have had no significant issues with the chat.5.5 LabsLabs are run by the TA similarly to lecture for the first 20-30 minutes. Then students can workon their weekly programming assignments and use the chat to ask the TA or classmatesquestions.Both lecture and lab sessions are recorded, such that students who miss a session can see whatwas missed, and students can also go back and review.5.6 IntegrationIn 2014, we switched from the previous commercial homework system to a new systemintegrated in the interactive learning content created by zyBooks. Furthermore, in 2016, weswitched from our homegrown program auto-grader to an auto-grader integrated into thatinteractive learning content
take place within the teamframework and are integrated closely with the team’s robot projects. Self-efficacy is indicatedwhen individuals on the team have gained mastery of subjects of high interest to them. If theteam’s performance is good, we have also achieved team efficacy.Our study has two stages—a pilot study during the 2006-2007 academic year and a central studyduring the 2007-2008 academic year.Pilot Study, 2006-2007This section summarizes the first-year pilot study that was implemented at Trinity College in2006-2007 as an activity of the Trinity College Robot Study Team (RST)9. The RST comprises10 – 15 undergraduate engineering students each semester, drawn from all four undergraduateclasses, who design robots to compete in the
language that each capstone project memberhas learned in at least one course in the CET curriculum. Therefore, developing the program inJava satisfies one of the capstone course objectives: to consolidate and integrate concepts, skillsand techniques acquired from the curriculum. Third, Android phones provide all the hardwareand connection features needed for the project. Specifically, GPS positioning will be used fordetermining the bus location and for trip planning. Android phones have built-in GPS receiverthus reducing the need for relying on cellular networks for location information, which is muchless accurate than GPS. In addition, Java classes for location services via GPS signal areavailable through the Android API.The mobile application is
learning multi-disciplinarydesign. The authors therefore plan to introduce the concepts of BIM and associated softwaretools at earlier stages of the curriculum.Another hurdle to be overcome, in terms of introducing any new technology at University level,is that faculty members do not always remain up-to-date with technical software applicationsused in industry. This may be alleviated with closer integration between industry and academia.Many of the institutions surveyed by the authors are keen to develop strong industry links andalready have visiting tutors and lecturers from industry, and this could extend to the teaching ofBIM processes and technologies.The authors aim to determine the most effective curriculum strategies that should be adopted
assessment questions that include the skilltags dimensional analysis and system integration. To begin to place roughness into someappropriate context, the descriptor of “Specialist” or “Specialized” are used. These descriptorswould indicate that the given student has very strong talents in a few specific skills at theexpense of proficiency in other skills. Figure 3B represents the student with the largest averagecircular radius value, which means that that student has the highest level of average proficiencyacross all skill tag questions compared to the class. Though this student does not represent thelowest roughness value, when compared to others this student can be considered fairly “well-rounded”. A well-rounded profile may be likened to an
topic of interest in K-12 education. Childrenthat are exposed at an early age to STEM curriculum, such as computer programming andcomputational thinking, demonstrate fewer obstacles entering technical fields [1]. Increasedknowledge of programming and computation in early childhood is also associated with betterproblem solving, decision-making, basic number sense, language skills, and visual memory [2].As a digital competence, coding is explicitly regarded as a key 21st Century Skill, as the“literacy of today,” such that its acquisition is regarded as essential to sustain economicdevelopment and competitiveness [3]. Hence, the reliable evaluation of students’ process data incontext of problem solving tasks that require CT is of great
Technology. New course materials integrating the parallel and distributedcomputing concepts were developed and offered to undergraduate students. Project-basedlearning was introduced into classroom. More advanced concepts, such as computer vision andmachine learning were explored by undergraduate students. At the same time, the researchresults were disseminated in junior and senior level courses. Faculty members applied effectivepedagogy to teach new generation computing. For all the classes involved in this project, studentsurveys were collected to guide future project implementation. This article shares the currentoutcomes and findings of the project.IntroductionComputing technology has advanced to an unbelievable level compared to decades ago
and society core curriculum classes specifically for incoming fresh- man with a STEM background. Perez has eight years of professional experience working as an electrical and computer engineer, providing technical support to faculty and students utilizing UGLC classrooms and auditoriums. Perez is committed to the highest level of service to provide an exceptional experience to all of the UGLC guests. Perez strongly believes that by providing exceptional customer service that UGLC patrons will return to make use of the various services the university offers. Perez enjoys work- ing on the professional development of the student employees at the UGLC. He shares with his student employees his practical experience in
an end-user perspectiveand that the outcomes will help to answer the above questions.This present study is an extension of a previous research cycle in which end users (students)developed gamification products to help students learn challenging concepts in industrialengineering courses. We selected four final gamification products for further evaluation:“Avengers”, “Bake-off-453”, “Gulf games” and “DungeoNIOSH”. These games are intended toteach the concepts of: “Discrete probability distributions”, “Gulf of evaluation vs. Gulf ofexecution”, “Interaction effects” and “NIOSH Lifting equation”. The first two are basic conceptsin statistics, and the last two relate to the human factor/ergonomics domain. In this study, we hadtwo student teams
that there are other approaches to this course. We describe our own “solution.” Page 12.391.2A Bit of HistoryThe computing course was introduced to the engineering curriculum sometime in the late 1950sand early 1960s. If you got your engineering degree before 1965, you probably took a Fortranprogramming class using something like an IBM 1620. You prepared your program on punchedcards and “loaded” the cards along with the operating system components onto the machine.Computing technology dramatically changed over time - from cards to terminals and magnetictapes and from 16 bit machines to 64 bit machines (mainframes). Even the programminglanguage
. Realizeit developed an adaptive learning system for psychology, nursing, and algebra courses at the University of Central Florida. The results showed a moderate increase in performance and high student satisfaction—83% reported that the system helped them learn better. [22] • Increasing passing rates o Smart Sparrow and Australian Universities. Adaptive tutorials were developed to assist in the teaching of introductory mechanics. Failure rates dropped from 31% to 19% in the first year of use and, as the curriculum was tuned, continued to decrease over the next two years to under 10%. They also observed an improvement in performance by students
all strategic and operational issues to ensure an effective and coordinated effort to meet Challenger Center’s strategic goals. Prior to joining Challenger Center, Ms. Kopecky spent 13 years in the classroom, having taught both upper and lower elementary grade levels. She developed and delivered curriculum and led profes- sional development courses. Ms. Kopecky holds a professional certification in Instructional Design from University of Wisconsin-Stout, as well as a Bachelor of Science in Psychology, and a Master of Teaching from Virginia Commonwealth University.Ms. Valerie A. Fitton-Kane, Challenger CenterDr. Lance Bush, Challenger Center Lance Bush is President and CEO of Challenger Center. With a goal to