. Page 26.1272.1 c American Society for Engineering Education, 2015 Project-Based Learning with Single-Board ComputersIntroductionProject-based learning (PBL) has been shown to be effective in the STEM fields1,2. Inimplementing PBL of Electrical Engineering and Computer Science (EECS) topics formiddle and high school-level enrichment programs, significant thought needs to go intodetermining which sub-topics in the EECS field should be covered in a curriculum inorder to enable students to undertake projects of sufficient and satisfying complexity.One solution is to focus exclusively on either the software (programming) or hardware(sensors, circuits, etc.) side of EECS, having what amounts to either a
University proposed a new approach forrecruiting Hispanic students into computing disciplines and careers through the HispanicComputer Brigade (HCB) initiative. By forming HCBs in two local high schools, we aimed toinspire and engage Hispanic students through IT service learning projects. The high schoolstudents began the program with a summer camp, continued to learn and engage computingthroughout the year with community service learning, and will end with a local competitionwhere students will showcase their computing projects with high school faculty, SJSU faculty,parents/guardians, and the community. Students are learning computer and programming skillsand processes in weekly meetings with the help of advisors and mentors.To support the Hispanic
Paper ID #10384Analyzing Students’ Computational Models as they Learn in STEM Disci-plinesMr. Anton Dukeman, Vanderbilt UniversityMr. Shashank Shekhar, Vanderbilt UniversityMr. Faruk Caglar, Vanderbilt UniversityDr. Aniruddha Gokhale, Vanderbilt University Aniruddha Gokhale is an Associate Professor of Computer Science and Engineering in the Dept of Elec- trical Engineering and Computer Science at Vanderbilt University, Nashville, TN, USA. Prof. Gokhale got his BE (Computer Engineering) from Pune University, Pune, India in 1989; MS (Computer Science) from Arizona State University, Tempe, AZ in 1992; and PhD (Computer
Paper ID #8010Using Programming to Strengthen Mathematics Learning in 9th Grade Al-gebra ClassesDr. Eric A Freudenthal, University of Texas, El Paso Eric Freudenthal is an Associate Professor of Computer Science.Dr. Kien H. Lim, University of Texas at El Paso Dr. Lim’s research interests are on students’ problem-solving disposition and instructional strategies to advance their ways of thinking. Dr. Lim is particularly interested in impulsive disposition, students’ propensity to act out the first thing that comes to mind. Dr. Lim’s research goal centers on helping stu- dents advance from impulsive disposition to analytic
students, male attitudes were more stronglyimpacted by the computer science intervention whereas female attitudes were more stronglyimpacted by the information technology intervention.IntroductionCurrent high school students grew up with technology and video games and through theseexperiences have come to know computing as fast-paced and exciting. Yet, their firstprogramming experiences in either high school or college are often tedious and boring.10,19,22,28As young children, students learn to use the computer for entertainment with little exposure tothe broader applications. Studies have found that many students lack confidence in their basicprogramming skills21,22 and that the dot.com bust has had a negative impact on students’perceptions of
, Singapore and RoboCupJunior initiative in Bangladesh. She also provides consultations to various educational robotics initiatives from around the world. Page 24.852.1 c American Society for Engineering Education, 2014 Learning Experience Through RoboCupJunior: Promoting Engineering and Computational Thinking Skills through Robotics Competition (Research to Practice) Amy Eguchi Bloomfield College Division of
professional development training to high school teachers, with the goal to improvehigh school education related to computer/computing. A total of fourteen high school teachersattended the workshop. Through multiple theoretical, hands-on, and discussion sessions duringthe two-day workshop, the participating high school teachers learned about state-of-the-artcomputing knowledge and technology, obtained hands-on training on pedagogical tools, and hadextensive interactions with university educators to discuss how to inspire high school students(particularly those from minority groups) to choose majors related to computer/computing.Assessment was conducted primarily via a series of surveys before and after the workshop,which included both formative
Excellence as an Associate Engineer conducting energy audits to helpcompanies reduce their energy consumption. He used his experience designing plumbing systems tocreate his lesson for the students. Summary of the Lesson Objectives: In this lesson, students learn about the different uses ofindustrial steel pipes used in plant design and how the process is supported by computer-aided designsoftware. Students design a building’s pipe layout with different kinds of constraints, e.g., differentkinds of rooms, pipes, and pipe contents. The example is based on actual layout used for Hixson’sKitchens of Sara Lee project. Materials: two worksheets: (1) Case File: Building Floor Plan, and (2) Case File: Rules andRouting Information; PowerPoint
. Algorithm Design is based on the three skillsdescribed above which help to solve a problem using abstractions and the transformation suchabstractions as described by the algorithm. When the algorithm is described through a computerlanguage, then the problem can be solved efficiently by a computer. An example of an algorithmthat generates the sequence of numbers above is depicted in figure 1. In the figure, the algorithmis written in the Python computer language. Page 24.531.4Figure 2. A sequence of numbers and a Python code that generates the sequence2.2 Learning Computational ThinkingLee et al. 6 describe the learning of computational thinking in
Paper ID #9842Science Learning with Design, Engineering and Robotics (Curriculum Ex-change)Mike Ryan, Georgia Institute of TechnologyDr. Marion Usselman, Georgia Institute of Technology Marion Usselman is a Principal Research Scientist and Associate Director for Federal Outreach and Re- search at the Georgia Institute of Technology’s Center for Education Integrating Science, Mathematics and Computing (CEISMC). She earned her Ph.D. in Biophysics from the Johns Hopkins University and has been with CEISMC since 1996 developing and managing university-K-12 educational partnership programs. She currently leads up a team of
Engineer in Louisiana.Dr. Melanie L. Sattler P.E., University of Texas, Arlington Page 22.412.1 c American Society for Engineering Education, 2011 Curriculum Exchange - Educational Aspects of Kinesthetic and Computational ExperimentationAbstract Educational theory and research has shown that kinesthetic experimentation andcomputational modeling significantly influence the way that students learn science, technology,engineering and mathematics (STEM) material. This paper presents evidence that students whohave little or no prior knowledge of engineering are able to
Paper ID #6376Introducing 6-12 Grade Teachers and Students to Computational ThinkingDr. A. Dean Fontenot, Texas Tech University Dr. Fontenot is the Sr. Director of the Texas Tech T-STEM which provides professional development for K-12 teachers as part of the Texas STEM (T-STEM) initiative. The Texas Tech T-STEM Center focuses on project-based learning with the integration of the engineering design process. The Center provides professional development training for T-STEM Academies, T-STEM Early College High Schools, and all Texas school districts, public and private. She collaborates with Whitacre College of Engineering
at Charlotte with the primaryobjective of broadening participation in computing through best practices and community building. SCState is a participating university in this initiative. The objective of this paper is to discuss the STARSSLC outreach and other activities at SC State, its success and lessons learned with the engineering,science, and computing community. IntroductionIt is common knowledge that computing education lacks diversity and enrollments in computer sciencehave plummeted. Recent reports have shown that there is a lack of interest in computer science in the K-12 level and number of incoming college freshmen specifying Computer Science (CS) as an area ofstudy has dropped 60
Paper ID #10694C-STEM Curriculum for Integrated Computing and STEM Education (Cur-riculum Exchange)Prof. Harry H. Cheng, University of California, Davis Harry H. Cheng is a Professor in the Department of Mechanical and Aerospace Engineering, Graduate Group in Computer Science, and Graduate Group in Education at the University of California, Davis, where he is also the Director of the UC Davis Center for Integrated Computing and STEM Education (http://c-stem.ucdavis.edu) and Director of the Integration Engineering Laboratory. His current research includes developing computing and robotics technologies and integrate them into
major in the future.5. I’d like to learn more about how computer hardware and software work together to make things done.6. I’d like to participate in more science and engineering project like this one.7. I am interested in learning more about science and consider a major in Physics or Chemistry.Could you give an example on Computer Engineering application?Other comments: Page 23.811.8 Fig. 6 Survey questions
different disciplines together instead of teaching them as entirelyseparate subjects. What has STEAM meant for students? Last year we were able to develop new projectsfor our students in both math and science. Math students learned about the geometry oftessellations and how these patterns are incorporated into Islamic and other tiling designs,learned to use new computer technology to create different forms of animation, and appliedquadratic functions to physics in rocket launching project. Science students used a programcalled SAM animation to create stop-motion animated movies that describe mitosis, andcontributed to the rocket launch project by combining pneumatics and construction to build theactual rocket launchers. Beyond this
AC 2007-2032: OUTREACH WITH GAME DESIGN EDUCATIONDavid Schwartz, Cornell University After finishing his dissertation in Civil Engineering and writing two textbooks as a graduate student in 1999, Cornell's Computer Science department made an offer David I. Schwartz couldn't refuse. Schwartz has made a career in researching and developing new curricula and educational technology. Over the past five years, he has collaborated with faculty and staff to build the Cornell Library Collaborative Learning Computer Laboratory (CL3) and the Game Design Initiative at Cornell (GDIAC; http://gdiac.cis.cornell.edu). CL3 currently hosts Cornell's new game courses, which now belong to a new
-based engineering projects pose both special challenges and special learningopportunities in K-12 classrooms. Robotics has been demonstrated as an effective vehicle toteach STEM concepts at many levels. The theoretical foundation for using robotics in educationhas been put forth by Jonassen, who classified them as “mindtools,” and described roboticsexperiences as cognitive tools that can enhance the learning process.16 Others have argued thatrobotics enables students to creatively learn computer programming, mechanical design andconstruction, problem solving, and collaboration,17, 18 as well as provides an opportunity toexplore open-ended problems that require integrative thinking.19 Riskowski et al. have gone a
importance of diversity in computing to school administrators, other teach- ers, parents, and students. Peer Successes Presentations from other teachers who have attended previ- ous Tapestry Workshops and successfully applied what they learned. Prospective attendees were asked to describe their expectations for the workshop as part of theirapplication. One common theme through many of the expectations was to learn practical classroomactivities that would be stimulating and enjoyable for their students. Many participants alsoexpressed a desire for activities and/or content illustrating the broad
AC 2011-2082: ENGAGING K-12 TEACHERS IN TECHNOLOGY TOOLSTO SUPPORT ELECTRONIC AND MOBILE LEARNING THROUGH ANONLINE PROFESSIONAL DEVELOPMENT COURSEMeltem Alemdar, Georgia Institute of Technology Dr. Meltem Alemdar is a Research Scientist in the Center for Education Integrating Science, Mathematics, and Computing (CEISMC) at the Georgia Institute of Technology. Dr. Alemdar has experience evaluat- ing programs that fall under the umbrella of educational evaluation, including K-12 educational curricula, after-school programs, and comprehensive school reform initiatives. Across these evaluations, she has used a variety of evaluation methods, ranging from multi-level evaluation plans designed to assess pro- gram impact to
DNAtechnology, neuronal modeling, the molecular basis of learning and systems neuroscience.Neuroscience is a branch of biology, yet neuroscientists are typically highly diversified scientistsand engineers. Neuroscience spans a wide array of disciplines that include engineering,mathematics, computer science, biophysics and medicine. The diversity found in theneurosciences evolved naturally because of the fields’ need for creative problem solvingconcerning the technical difficulties that plague experimentation with the brain. The CaliforniaInstitute of Technology’s neuroscience researchers have synergistic relationships betweenengineers and scientists of various disciplines, and together, they advance our knowledge in thisfield. In line with the efforts
research, specifically what typical tasks are involved and life as a researcher such as oral and written presentations.” “I learned a lot about the collaboration between labs and universities on research, and how interdisciplinary so much of the research is.” “Neural engineering requires a lot of other engineering fields to come together.” “The networking involved in BCI [brain-computer interface] technology and related interventions. Specifically biology, mechanics, and coding.” “One general thing about neural engineering and research [I learned] was the skill set needed to complete the work. Even if you specialize in one area, you are still expected to know other fields as well, such as computer programming or math
qb23,wmm24,emg26,kusic,fromme,af63@drexel.eduAbstract Since the 1960’s, Computer Assisted Instruction (CAI) has been promoted as the new standardfor teaching and learning. Schools were provided with computers and internet connections atan astounding rate in the 1990’s, but there was no correlated increase in student performance.1Investigation into this problem has revealed that computer technology is simply used to augmenttraditional ‘instructionist’ teaching strategies,1,2 and this type of integration does not parallel thecurrent real-time problem solving domain that is driven by technology. Therefore, the integration of technology to reinforce science, technology, engineering andmathematics (STEM) education must not simply augment the
director of the IMPACT LA NSF GK12 Program. Page 22.1613.1 c American Society for Engineering Education, 2011 Using Digital Images to Teach Abstract Math and Inspire Students towards Careers in Computer Science and Engineering1. Introduction Abstract mathematical concepts are often difficult for high school students to understand.Students are often adept at learning how to solve specific math problems but have a difficult timeunderstanding how they can relate to the real world. In response to this, math teachers try tocome up with engaging, real-world examples to not only allow
robots,Programming, and Advanced Programming. All three modules/labs tapped into thecontent fields of Computer Science and Science/Technology and were available onWebCT. The objective for the introduction module was pedagogical uses of robots. Thebuilding of the robots provided kinesthetic learning, pattern matching,foreground/background discrimination, and sequential ordering. The participants learnedthe purpose of an operating system and how to load firmware. They also learnedprogramming by using small blocks in the graphical programming language providedwith the Lego Mindstorms kits. Finally, algorithms, testing, and the process of addingrefinements were introduced. The participants worked in groups of two to create a “robotcar” and
students.Dr. Jeff Ringenberg, University of Michigan Jeff Ringenberg is a lecturer at the University of Michigan’s College of Engineering. His research interests include mobile learning software development, tactile programming, methods for bringing technology into the classroom, and studying the effects of social networking and collaboration on learning. He holds B.S.E., M.S.E., and Ph.D. degrees in computer engineering from the University of Michigan. Page 25.123.1 c American Society for Engineering Education, 2012 Accelerating K-12 Interest in Computer Science using Mobile
Legacy Cycle pedagogy used by the authors is one suchconstructivist learning pedagogy.BackgroundThe web applets and lesson plans described here are intended to introduce high-school orintroductory-level college students to concepts associated with Computer Aided MolecularDesign (CAMD) and in particular the concept and use of the Quantitative Structure-PropertyRelationship (QSPR). Scientists and engineers are frequently searching for a substance that hasa particular property or they have a substance that they would like to know a certain propertyfor. Rather than make a measurement, often times, it might be enough to estimate the propertyusing some form of mathematical model first or to attempt to predict the structure that wouldproduce a desired
Paper ID #9005Lessons Learned Developing an Engaging Engineering Summer CampMs. Karen J Krapcho, University of Utah Karen Krapcho,M.S. is the Outreach and grant coordinator for NSF-0652982.Dr. Cynthia Furse, University of Utah Page 24.861.1 c American Society for Engineering Education, 2014 Lessons Learned Developing an Engaging Engineering Summer CampIntroduction In order to meet the growing workforce needs in science and technology it is projected thatthe U.S. must increase the
Society for Engineering Education, 2012 WISEngineering: A Web-Based Engineering Design Learning EnvironmentAbstract In this paper we introduce WISEngineering, a new curriculum delivery, assessment, andfeedback system that uses engineering design to teach science, technology, engineering and math(STEM) concepts to middle school and high school students. WISEngineering is a free, open-source environment that supports STEM learning by guiding students through informedengineering design projects1. WISEngineering includes learning modules that involve extensivehands-on engineering for real-world problems and integrate computer-aided design (CAD) anddigital fabrication technologies. Here we
Hall of Engineering, 701 West Stadium Avenue, West Lafayette, IN 47907; Phone: 765-494-3892; Fax: 765-494-0052; Email: oakes@purdue.edu Jean Trusedell, Education Curriculum Specialist, EPICS Program, Neil Armstrong Hall of Engineering, 701 West Stadium Avenue, West Lafayette, IN 47907; Phone: 765-496-1889; Fax: 765-494-3798; Email: jtrusede@purdue.eduCurriculum Summary: Integrating engineering practices into service-learning is the focus of the EPICS ProgramThe goal of EPICS High and its curriculum is to engage high school students in the fields of engineering andtechnology while meeting a critical educational need of providing hands-on engineering and technical designopportunities. Key elements of the program include