solutions. In order to evaluate whether projects meet these criteria, the seniordesign projects committee in the electrical and computer engineering (ECE) department atVillanova University developed a project approval form which allows proposing facultymembers or students to indicate how they are going to meet these multidimensions of projectdesigns. The rest of this paper will present the senior design curriculum at Villanova University,describe the project approval form, give examples of how the project approval form has beenused, how the final project report templates have been modified to address these multipledimensions, and finally show how the assessment of the outcomes related to the multipledimensions of student outcomes have been impacted
Paper ID #30974The Use of Computer Programming in a Secondary Mathematics ClassJaCoya Thompson, Northwestern University JaCoya Thompson is a PhD student in the Computer Science Department at Northwestern University. She is a research assistant on the Computational Thinking in STEM project. Her research interests include the use of computational tools to support novice learner’s exploration of mathematics concepts in formal learning environments.Dr. Sally PW Wu, Northwestern University Sally P.W. Wu is the Director of Curriculum Development at Northwestern University. Her work on the Computational Thinking in STEM
bioengineering program at Arizona State University, laboratory courses inphysiological systems and medical instrumentation have been offered for many years. These courses emphasizemaking measurements from and analyzing properties of physiological systems using clinical instruments orspecial-purpose computer hardware and software. The laboratory projects are generally highly structured andclosed-ended to ensure ample coverage of the selected subjects. While these courses are an important part ofthe curriculum, they do not provide students with the experience of developing solutions to open-ended,systems-level bioengineering projects. In order to fill this gap, over the last three years we have developed andoffered a laboratory course that provides senior
, communications, ethics, economics of engineering, etc. into theengineering curriculum [2].The traditional ‘chalk and talk’ pedagogy is more unlikely to satisfy the requirements of theaccreditation criteria and what industries need from engineering graduates. PBL seems certainlythe best way to satisfy industry needs without sacrificing the knowledge of engineeringfundamentals and welcomed by students, industry and accreditors alike [3] [4].Computer Integrated Manufacturing – CIM is being taught as an elective course during thegraduation year in undergraduate Mechanical Engineering program. The course syllabus covers awide range of topics including integration of Computer Aided Design (CAD) / Computer AidedManufacturing (CAM), Manufacturing Planning
Session 3666Teaching Dynamics Online with only Electronic Media on Laptop Computers Yellamraju Vikas, Tony Romanello and Kurt Gramoll Aerospace and Mechanical Engineering University of OklahomaAbstractThe benefits of electronic media in engineering, such as interactive simulations, three-dimensional visualization and animations are widely known. However the implementation ofsuch media has been difficult because of lack of classroom facilities and student access to theprograms. Most of the implementation problems can be overcome and a true asynchronouslearning environment can be
Paper ID #41597Assessing Critical Thinking in Computer and Software Engineering CoursesDr. Mohammad Shokrolah Shirazi, Marian UniversityHung-fu Chang ©American Society for Engineering Education, 2024Assessing Critical Thinking in Computer and Software EngineeringCoursesMohammad Shokrolah Shirazi a and Hung-Fu ChangbE. S. Witchger School of Engineering, Marian University, Indianapolis, IN, USAa ; b R.B.Annis School of Engineering, University of Indianapolis, IN, USA ABSTRACT Critical thinking is a crucial component of effective
Paper ID #42468Board 363: Reimagining Essential Computing Content for High School StudentsDr. Julie M. Smith, CSEdResearch.org Dr. Julie M. Smith is a senior education researcher at CSEdResearch.org. She holds degrees in Curriculum & Instruction and Software Development. She also completed a doctoral program in Learning Technologies at the University of North Texas. Her research focus is computer science education, particularly the intersection of learning analytics, learning theory, and equity and excellence. She was a research assistant at MIT’s Teaching Systems Lab, working on a program aimed at improving equity in
engineering andcomputer science. Social influences, family influences, peer influences, fundamentalpsychological differences, and motivational issues have all been broken down, dissected, andresearched on numerous occasions. Typically, solutions call for 8, 9, 10:≠ Improved mentoring.≠ Increasing student exposure to professional women in computer science and engineering.≠ Providing a better sense of opportunities in computer science and engineering to young women.≠ Big sister programs.≠ Attempts to promote a larger feeling of belonging among the community of women involved in computer science and engineering.Studies have suggested the implementation of new improvements to curriculums, yet enrollmentsof women in computer science
(WSNs) are possibly one of the most important technologies of thiscentury and have the potential to make human life more comfortable. WSNs have emerged as aneffective solution applied to a wide array of problems. The increasing popularity of WSN hasmotivated computer engineering programs to provide students with a foundation in the area. Inorder to integrate wireless sensor networks concepts into our computer engineering curriculum,we have decided to integrate wireless sensor concepts in our Embedded Systems Design IIcourse. A requirement for this course is to write a research paper on the topic of Wireless SensorNetworks. As a result of this assignment, many students have started to do their senior designproject on this subject. This paper
integrating computational modeling training into MSE undergraduate core curriculum. She presently serves as a chair of TMS (The Minerals, Metals & Materials Society) Education Committee. Address: Department of Materials Science and Engineering, Boise State University, 1910 University Drive, Boise, ID 83725-2090; Phone: (208) 426-5669; Email: lanli@boisestate.edu c American Society for Engineering Education, 2016Integrating Computational Modeling Modules into Undergraduate Materials Science and Engineering EducationAbstractTo meet national workforce need, we integrated computational modeling training intoundergraduate materials science and engineering (MSE) courses, including
American Society for Engineering Education Annual Conference & Exposition Copyright © 2007, American Society for Engineering EducationProposed Review, Evaluation, and Program RevisionThe assessment data are collected by the computer engineering technology faculty. Theprogram coordinator and program faculty compile, review, and analyze the data andreport their findings to the department chairperson. At a department meeting scheduledfor a full review and analysis of the program assessment data, faculty proposerecommendations.The Program Coordinator, department faculty and Industrial Advisory board membersmeet to formalize recommendations regarding curriculum revisions, course topics andsubject content, laboratory exercises
innovation skills, which will enhance their careers.Case studies and examples on how to produce new innovative ideas and patents are given.1. IntroductionThis paper is meant to be a hands-on opportunity for professors and students to experience andpractice the creative problem solving process throughout all undergraduate and graduate coursesin the Electrical and Computer Engineering curriculum. Certainly, the benefit of this paper canbe extended and used in all engineering education disciplines including, but not limited to,mechanical, chemical, and civil engineering.The framework of this paper is also very useful for practicing engineers, project managers, andexecutives. The ideas presented in this paper intend to enhance students’ creativity
to a realistic embedded system designexperience, while giving them an opportunity to bring their accumulated knowledge to bear ona specific design of their choosing. The course philosophy centers on the idea that the studentshould work through a challenging project, but that student success with their project is a vitalpart of the overall experience. This course serves as a capstone design experience for students, sothey have generally completed most of the curriculum by the time that they enroll in this course.The prerequisites effectively limit the course to students who are in the computer engineeringprogram (as opposed to the electrical engineering program).The design projects are accomplished by self-selected teams of three students. The
opportunity to solve problems that wouldbe extremely difficult or impossible to solve without them. The decisions about computer toolusage in the courses were based upon the author’s 14 years of experience as a practicingengineer. This experienced included both using and developing computer-aided engineeringtools. A number of general concerns and choices relate to the use of computer tools in anyengineering class. The general concerns include the aforementioned possible compromise of thestudents’ basic engineering understanding, plus student computer background and fittingadditional content into an already full curriculum. The choices are between general purpose anddiscipline specific software, as well as between the use of existing applications or
Session 3232 A Capstone Senior Design Course: Building a Simplified Computer Network John Greco, Ph.D. Department of Electrical and Computer Engineering Lafayette College Easton, PA 18042AbstractThis paper discusses a capstone senior design course for electrical and computerengineering students. The course builds on the fundamentals of an ECE curriculum, andoffers opportunities to learn new material, and to design, simulate, debug, build, and testa local area network. The six-node network that is realized uses either a Token RingProtocol or an Ethernet protocol for sending short text messages on
Lab because oftheir ease of use and ability to support complex and varied programming. The robots will beused in support of our artificial intelligence course for the purposes of offering a unifying themethat draws together the disparate topics of artificial intelligence, focusing the course syllabus onthe role artificial intelligence plays in the core computer science curriculum, and to motivate thestudents to learn by using concrete, hands-on laboratory exercises. In addition to the many standard problems that can be assigned in advanced courses suchas artificial intelligence, we have begun to use our robots in lower-division courses. Forexample, we have used these robots in our sophomore-level data structures course. 1 With
, languagetranslation, and programming support.In the following sections, we present a detailed analysis of the survey responses, aiming touncover patterns, insights, and valuable feedback from computer science students’ perspective.Through this research, we seek to enhance our understanding of the evolving role of AI incomputer science education and its impact on the learning experiences of college students in thisfield. Insights from this research could inform educators, curriculum designers, and developers,contributing to the effective integration of AI-powered learning tools and enriching theeducational journey of computer science students.Literature ReviewThe advent of ChatGPT and similar natural language processing (NLP) models has triggered asurge in
in the lab andcomputationally using CALPHAD software, and in the other, students simulate a Jominy endquench hardenability test using CALPHAD and FEA tools, then physically perform the test onsteel samples as part of a lab to identify an unknown alloy. Summaries of these modules and howstudent perceptions of the course and their learning changed as a result of these modules arepresented.IntroductionData-driven and computational approaches in materials science have been growing in importancefor decades and are now considered key competencies for undergraduate materials sciencemajors. Our undergraduate curriculum includes two required courses in modeling and simulation,“ModSim” for short, which are held in computer laboratories and allow for
AC 2008-1062: INTEGRATION OF COMPUTER BASED PROBLEM SOLVINGINTO ENGINEERING CURRICULADianne Raubenheimer, North Carolina State University Dianne Raubenheimer is Director of Assessment in the College of Engineering and Adjunct Assistant Professor in the Department of Adult and Higher Education in the College of Education at NCSU. She has worked with faculty and administrators in Engineering for two years, and previously in the Science and Education disciplines. She has a background in teacher education, curriculum development and evaluation and has worked as an education consultant for a number of organizations in the USA and South Africa conducting program evaluations. She received a Ph.D
Key Ingredients of Modern Electrical and Computer Engineering Undergraduate Programs M. R. Parker and M. S. Alam Department of Electrical and Computer Engineering, University of South Alabama Mobile, AL 36688, USA1 (Session number: 1532) AbstractIn this paper, we discuss the evolution of modern North American Electrical and ComputerEngineering curricula designed to, among other things, satisfy guidelines consistent with ABETaccreditation as well as those required by the increasingly common constraints of StateArticulation. In the process of curriculum development, it is
Session 1520 Ethics and Empowerment: An Ethics Module for Introduction to Computers José A. Cruz, William J. Frey University of Puerto Rico at MayagüezI. IntroductionWe intend to explore a different dimension of practical and professional ethics, one that we cancharacterize as more positive. The dominant view of ethics is that it functions as a limit topower in that it establishes barriers beyond which we cannot go. (A colleague of our talks of laetica como un baden, ethics as a speed bump, an obstacle that we have to get around in
associate professor and chair in the Department of Computer Science and Information Technology at the University of the District of Columbia. She joined UDC in May 2012 after receiving her Ph.D. in Computer Science from The URui Kang Rui Kang is Professor of Secondary Education (6-12) of Georgia College & State University (GCSU). She teaches graduate courses in numerous areas, including math pedagogy, assessment, educational research, and learner development. She holds two Ph.D. degrees, in Curriculum and Instruction from Texas A&M University (2007) and in Mathematics Education from the University of Georgia (2022). Her scholarship focuses on mathematics teaching and learning, STEM education, and teacher
thatincorporating more use cases in the structuring of coursework may facilitate the integration ofCT into the engineering curriculum by improving the recognition of CT concepts.BackgroundIn today’s technology-driven world, computers are integral in expanding our capabilities acrossvarious sectors. Computing technologies are transforming sectors, and in the new industriallandscape, solving complex engineering problems calls for the use of computer systems as wellas cross-functional teams [1]. Given that computer-based solutions are becoming increasinglyintegral to the engineering problem-solving and design process, computational thinking (CT)should be a fundamental skill for engineering students so that they can effectively leverage thesetools.Engineers
2022 ASEE Midwest Section Conference Accelerated BS/MS Program in Electrical and Computer Engineering Robert Woodley and Steve E. Watkins Electrical and Computer Engineering Department, Missouri University of Science and TechnologyAbstractThe Electrical and Computer Engineering Department at Missouri University of Science andTechnology implemented an Accelerated BS/MS Program in 2019. This program is designed toencourage and facilitate undergraduate majors in electrical and computer engineering to pursue amasters program. It is similar to engineering programs at other institutions that are identifiedwith titles such as
Paper ID #33771Investigating Factors that Predict Academic Success in Engineering andComputer ScienceDr. Olusola Adesope, Washington State University Dr. Olusola O. Adesope is a Professor of Educational Psychology and a Boeing Distinguished Profes- sor of STEM Education at Washington State University, Pullman. His research is at the intersection of educational psychology, learning sciences, and instructional design and technology. His recent research focuses on the cognitive and pedagogical underpinnings of learning with computer-based multimedia re- sources; knowledge representation through interactive concept maps
at Utah State University. His PhD is in technology education. His areas of interests include manufacturing, automation and control systems; curriculum development; and instructional strategies. His current research and creative endeavors focus on the development of innovative curriculum in the areas engineering and technology education utilizing problem solving and design instructional strategies. He is a member of ASEE, ITEA, and CTTE. Page 12.852.1© American Society for Engineering Education, 2007 Improving Engineering Laboratory Experience Through Computer Simulations and
AC 2009-2505: CSTEP: TRANSFERRING COMPUTER SCIENCE COMMUNITYCOLLEGE STUDENTS TO FOUR-YEAR UNIVERSITIESMichelle Kobus, Hillsborough Community College Michelle Kobus is the Lead Graduate Academic Advisor for the College of Nursing at the University of South Florida. She previously was the Personal Transition Services Specialist for CSTEP at Hillsborough Community College. She received her M.Ed degree in Curriculum and Instruction with a concentration in College Student Affairs from the University of South Florida and two B.A. degrees in Biology and Psychology from Eckerd College.Cesar Guerrero, University of South Florida Cesar D. Guerrero is a Ph.D. candidate in the department of Computer
project our students was given the chance tolook beyond the standard curriculum of engineering education. The emulation of empiricallyderived thermodynamic relations with a self-made computer program, based on the easilycomprehensible mechanics of elastic collisions, is quite instructive for the students and mightlead to a deeper insight into the subject matter.The remainder of this paper is structured by first providing a brief outline of the kinetic theoryof gases. Secondly, there is a discussion of some key features that all of the programs for thesimulation and visualization of colliding particles have in common. Subsequently, the student-created simulation model is compared with the ideal gas laws, and a summary then closes thepaper.Outline
gaining traction in the educational community, the term parallelization/parallelcomputing is also being incorporated within general curriculum initiatives. For example, at the K-12 level, the concept of “parallelization” is being introduced to students as they “organizeresources to simultaneously carry out tasks to reach a common goal”[10, p. 9]. Suggestive curriculumactivities by the Computational Thinking teachers’ resources in K-12 are shown in Table1. Concept Definition Grades PK to 2 Grades 3 to 5 Grades 6 to 8 Grades 9 to 12 Parallelization Organize Based on a set Teachers Student teams Describe the [10, p. 9] resources to of criteria, break facilitate in
thoughts andobservations,” SIGCSE, Jun. 2005, pp. 103-106.[14] Guzdial, M., A Media Computation Course for Non-Majors. In the proceedings of ITiCSE ‘03, Thessaloniki, Page 23.485.13Greece, 2003.[15] Overmars, M., Teaching computer science through game design. IEEE Computer, Vol. 37, Issue 4. April 2004.[16] Leuteneggar, S., Edgington, J., A games first approach to teaching introductory programming. Proceedings ofthe 38th SIGCSE Symposium on Computer Science Education. pp 115-118. New York, N.Y., 2007[17] Mahmoud, Q.H., Integrating mobile devices into the computer science curriculum. In the proceedings ofFrontiers in Education