education requires exposing students to the current edge of research and technology.To ensure that student projects are complementary to industrial development, educators mustcontinually introduce emerging techniques, technology, practices, and applications into theircurriculum. The field of wireless sensor networks is growing rapidly and has captured theinterest of various sectors. The increasing popularity of WSN has motivated universities toprovide students with a foundation in the area. It is crucial that the emerging field of wirelesssensor networks be integrated into the computer science and engineering curriculums. Thispaper studies the different approaches that are used by different institutions of higher educationaround the world to
applying a hybrid instructional model to a newlydeveloped computer engineering course at UW–Stout, which includes the delivery of onlinelectures through streaming videos combined with bi-weekly in-class lectures as well as hands-onlaboratory exercises related to the course material. The design of this curriculum follows aframework that was developed to fulfill the course requirements. In addition to traditional classsettings, the course also implements a team project which has several reporting components tomonitor students’ learning progress. Multiple in-class surveys were conducted throughout thesemester to obtain course feedback from the students. The instructor also constantly solicitedand collected student comments about the course during the
modify themost widely used CS curriculum in the world (Code.org). The SUCCESS RPP also creates a CS coursesequence that satisfies a state middle school career exploration requirement and supports districts inimplementing CS education in their schools, thereby expanding CS opportunities for rural students.The problems of practice to be addressed by the SUCCESS RPP are important nationally: In 2008, theNational Science Foundation proposed the CS10K Project, an effort to place CS curricula in 10,000 schoolsby 10,000 well-qualified teachers by 2017, [1] highlighting the need to prepare students for a world heavilyinfluenced by computing [2] and move them from being technology consumers to producers. [3] But by 2020,only 19 states had policies giving
howmacro-level material properties emerge from micro- or submicro-structures. Accordingly, a coregoal of our curriculum is to help students develop understanding of emergent behavior acrosslength-scales.Various science education researchers have employed computational models and simulations tohelp students understand physical phenomena from the lens of “emergence.” In contrast toequation-based models, which generally describe the macro-level behavior of a system directly,agent-based or atomistic models can encode the behavior and interactions of individual elementsof the system from which macro-level behavior emerges. Such an approach has beensuccessfully used across the physical sciences, including chemistry, physics and MatSE [7]–[12].In
Award in 2010. He has also received numerous awards for undergraduate teaching in the area of dynamics and control, including all three teaching awards given by the College of Engineering at Illinois (the Rose Award for Teaching Excellence, the Everitt Award for Teaching Excellence, and the Collins Award for Innovative Teaching).Dr. Geoffrey L. Herman, University of Illinois, Urbana-Champaign Dr. Geoffrey L. Herman is a teaching assistant professor with the Deprartment of Computer Science at the University of Illinois at Urbana-Champaign. He also has a courtesy appointment as a research assis- tant professor with the Department of Curriculum & Instruction. He earned his Ph.D. in Electrical and Computer
created and analyzed usingemergent, thematic coding to identify the challenges that faculty experienced in teachingengineering and computing students about ESI. Of the 37 interviews, 31 discussedchallenges (or lack there of) and were able to be transcribed; this sub-set is the focus of thepaper. Analysis of the data indicated that barriers to effective instruction fell under fivebroad themes: students, faculty, institutional, curriculum, and engineering skills. Of theinterviewees, 23% encountered only challenges, 64% described both challenges andaffordances, and 13% described not encountering any challenges. Despite the obstacles, theinterviewees expressed the importance of integrating ESI into engineering education andproduced examples of
collaboration. Dr. Khan is the Chair of ASEE Midwest Section.Dr. Mohamed Ibrahim, Arkansas Tech University Mohamed Ibrahim, PhD Associate Professor of Curriculum and Instruction College of Education Arkansas Tech University (479) 964-0583 ext. 2452Dr. Syed Ali Haider, State University of New York at Fredonia American c Society for Engineering Education, 2021Performance Prediction of Computer Science Students in Capstone Software Engineering Course through Educational Data MiningAbstractEducational data mining has been extensively used to predict students’ performance in universitycourses to plan improvements in teaching and learning processes, achieve academic
revised to explicitly call outcomputational thinking and focus a bit on problem scoping. For each unit, the introductorylesson and one set of paired reading and CT lessons were added to the curriculum. As anexample, we will describe the computational thinking changes in the first-grade unit, DesigningHamster Habitats, in detail. The reading lesson added was based on the book, Joey and Jet byJames Yang. This book highlights a boy and his dog playing fetch. It takes the reader through thegame of fetch and allows the reader to travel with the dog through all of the obstacles to get theball and then reverses those obstacles to get it back. It provides a classic sequencing of events forthe readers, which is a reading learning objective. As it happens
traditionally have been underrepresented in science and engineeringdisciplines into educational and career paths in these fields. In addition, the program alsodirectly addresses the problem of the growing “digital divide.” This program putscomputers in students' homes and teaches them meaningful ways to use the technology torelate to their schoolwork, family, and community. At-risk students work side-by-sidewith their parents and teachers to build their own computers and learn to use them byparticipating in community-oriented projects that incorporate essentials of science,mathematics, engineering, and technology (SMET) disciplines. They also developcommunication and writing skills with curriculum components involving essay writing,business
areas in which CS was integrated. Our review shows that there are several noted promising practices for integrating CS and computational thinking into K-5 learning environments, with a particularly focus on integrating CS into STEM. We also found that constructive approaches and unplugged activities can enhance learning. Implications. Based on this literature review, we identified several promising practices for creating curriculum that integrates K-5 into learning environments. These practices provide guidance for curriculum designers and those creating resources and tools for teaching K-5 students CS.1 IntroductionCS education has been slowly entering the K-12 education system, particularly at the high
) *Table 1: Curriculum overview of our 20 credit hour graduate program. Courses are listed bysemester. Courses marked with an asterisk can be transferred to the Master’s or Ph.D. graduateprograms in CS at our university.Our curriculum prioritizes mentorship and individualized instruction from a diverse team ofinstructors and staff members. The first two semesters represent the bridging phase, consisting ofcore computer science courses in programming, data structures, and algorithms. All courses inthe bridge curriculum are new and have been designed specifically for non-computing collegegraduates. The bridging curriculum incorporates group activities across all courses so thatstudents practice the value of working collaboratively. The bridge does
education. Page 26.98.1 c American Society for Engineering Education, 2015 A report on a project to introduce computation into a Modern Physics course and laboratory The importance of computational physics both as a discipline and as a component of the undergraduate curriculum has been recognized for some time. The challenge lies in creating course materials that introduce students to computational physics with problems that are meaningful and challenging, yet are neither overwhelming to the students nor take substantial time from the more
activities had an impact on the differentfactors of computational thinking namely, abstraction, algorithm, pattern recognition, anddecomposition.Introduction Computer Science (CS) is widely accepted as a part of K12 education after the introductionof the K12 Computer Science Framework [1]. New CS curriculums provide earlier integration ofCS principles [9]. The adoption of CS topics brings new challenges to the course structures at avery base level. The basics of CS are offered at various angles whereas the transformation of thehuman reasoning to the computer dimension is missed at the very beginning. That's why a newconcept, computational thinking (CT), emerged as a need for further understanding ofcomputational steps or algorithms realized
thinking has received increasing amounts of attention, withnumerous K-12 institutions looking to incorporate it into existing STEM curriculums. Thismovement to improve computational thinking literacy, supported by numerous professionalorganizations (e.g., American Society for Engineering Education [ASEE], National ResearchCouncil [NRC], National Academy of Engineering [NAE]) and Next Generation ScienceStandard (NGSS Lead States, 2013), attempts to improve students’ problem-solving skills andstrategies. Efforts to improve computational thinking have been aimed at both teachers andstudents. However, few studies exist to investigate how teachers implement the teaching of CTpractices in courses with a component that involves collaboration between
Session 2793 Using computer simulation to teach technical aspects of construction in a liberal arts setting Ashraf M. Ghaly Associate Professor, Civil Engineering Department Union College, Schenectady, NY 12308AbstractThe general education curriculum at Liberal Arts colleges requires students to take courses inhistory, literature, civilization, social sciences, sciences, and cultural diversity. These coursescomprise almost a third of the entire curriculum. All students, including engineering students, arerequired to take these
activitiesthemselves from our data. 40 Curriculum Used ‘- 41We have seen a dramatic increase in the curriculum cited andused in the articles over the past 7 years. With just 1curriculum reported in 2012 and 2013 respectively, we nowsee seven different curriculums cited in 2018 with the threemost popular being AP CSA, AP CS Principles, and Beautyand Joy of Computing (which can be used as a CS PrinciplesCurriculum. The launch of CS Principles as a formalized andofficial AP course in the 2016-2017 may have been a cause ofthis upsurge in these two curriculums. However, we seesteady representation for Exploring CS
Foundation, Google, and Turbulence. He has published his research in leading conferences and journals such as Computer Music Journal, Organised Sound, NIME, and ACM SIGCSE. Freeman received his B.A. in music from Yale University and his M.A. and D.M.A. in composition from Columbia University. c American Society for Engineering Education, 2017 STEAM-Based Interventions in Computer Science: Understanding Feedback Loops in the ClassroomMany organizations are seeking to address the need for greater numbers of computer scientists inthe US, and in particular, more women and underrepresented minorities. It is not uncommon todevelop curriculum that relies heavily on cutting edge
Animation (CSA) in Teaching and Learning Engineering MechanicsAbstractUse of computer simulation and animation (CSA) in higher education is growing rapidly and hasbecome a major trend in undergraduate engineering education. This paper conducts acomprehensive and critical literature review regarding the use of CSA as a learning aid to teachengineering mechanics courses. The paper addresses two main topics: (1) pedagogicalinnovations in the instruction of engineering mechanics, and (2) using CSA as a learning tool inengineering mechanics education. Representative pedagogical innovations are clustered intothree categories: (1) altering the engineering mechanics curriculum, (2) active learning strategies,and (3) the application of
apply them totheir own courseware. We can supply these materials to other instutions, or assist them infabricating their own. Hardware, example code and suggested experiments are available.Pedagogical ContextThe Introduction to Embedded Computing course has been a popular one within Electrical andComputer Engineering at the University of Virginia2. Our techniques of blending concepts fromacross the entire curriculum within the framework of experiential learning has gratifyingly led todemand for more coursework within this area. We endeavored to meet this demand with severalexploratory laboratory based half-courses, giving students a range of topics to explore andadditionally allowing us to assess the efficacy of future course development and
, computer, or software engineer. Although design thinking concepts focusedon empathy-building and customer needs, it was often difficult for engineering students to seebeyond the technical content of their course and conceptualize elements of design thinking asessential to their successful performance as engineers. This study bears significance topractitioners and researchers interested in (re)designing curriculum to meet the growing needs of 4innovation for today’s customer’s. Implications for policy and practice will be discussed toenhance the way that engineering programs, curricula, and workforce training are created
workforce as a growing challenge to future reliability of the electricity supply and 4NERC continues to support action and monitor industry progress .The Need for Power Engineering Education and Teaching MethodologiesThe demands of the power industry for a skilled workforce in power engineering disciplinescombined with a lack of educational programs that support the power industry suggest theimmediate need for the development and teaching of courses in power engineering. In order tofill this gap in skilled workforce, Sergeyev and Alaraje recently described an industry-drivenpower curriculum in an electrical and computer engineering technology program. The primaryoutcome of their project
Page 13.346.1© American Society for Engineering Education, 2008 Curricular Enhancement to Support Project-Based Learning in Computer and Electrical EngineeringAbstractUndergraduate computer and electrical engineering programs often partition the curriculum intoseveral courses based on related topics taught in isolation. Students are expected to synthesizetheir knowledge in a senior design project. It is the authors’ experience that students oftenstruggle during their senior design project since they have not gained the appropriate knowledgeor mastered necessary skills needed to work on a significant or team-based engineering designproject. Specifically, students need to be able to define system requirements
. Henriette’s research agenda is unveiling and understanding the identity of non-typical STEM-bound students, especially girls in engineering; through interest and belongingness by promoting empathy-based engineering design in instruction and practice. American c Society for Engineering Education, 2021 Pandemic! Influencing Girls' Fear of Failure in a STEM + Computational Thinking Program (Work in Progress) “Failure should be our teacher, not our undertaker. Failure is delay, not defeat. It is a temporary detour, not a dead end. Failure is something we can avoid only by saying nothing, doing nothing, and being nothing
2003 American Society for Engineering Education Annual Conference & ExpositionCopyright © 2003, American Society for Engineering Education2. The ModelThe overview of our model for increasing the number of undergraduates that are acquiring skillsin computational science is schematically shown in Fig. 1. There are two base infrastructuresthat provide resources and support for the program. These are curriculum/teaching andundergraduate research activities. Curriculum & Teaching Undergraduate Research Interdisciplinary Seminars & Research Exploration of Progress
system, the student laboratory experience as well asthe authors’ methodology for integrating outcomes-based assessment strategies in the lecture and thelaboratory segment of this courseI. IntroductionThere has been considerable interest recently on incorporating “experiential learning”, especiallythe laboratory experience, with emphasis on modern instrumentation and computer-assisted dataacquisition in the undergraduate engineering curriculum. As the society becomes increasinglytechnologically advanced, real time-data acquisition and on-line processing of data will becommon place both in workplace and home. This has required the engineering faculty to modifytheir curriculum to ensure that the students have savvy and skills to set up experiments
students to get engaged in problem identification and solution. • Guidance to the instructor on how to use the case study to teach a course topic or conceptIn previous work, the authors introduced the idea of a comprehensive case study (theDigitalHome case study) [7, 8] that can be used throughout a computing curriculum. In that workwe motivated the use of case studies in teaching and shared some of the artifacts developed at thetime. We also discussed how the DigitalHome case study addresses the aforementionedshortcomings with a goal of providing a complete set of artifacts associated with softwaredevelopment as well as providing case modules that can be used by faculty in teaching differentsubjects in a computing curriculum.The main
being accomplished using the data acquisition and controlpackage LabView, by National Instruments. This powerful tool has been implementedthroughout the curriculum, ranging from introduction as freshmen with simple mechanicalmeasurements and data storage, to culmination with a senior design project that typicallyinvolves control and automation, achieved using the LabView system. A primary focus of thepaper will be the philosophy of the introduction of computer software packages in a four yearengineering technology curriculum, and how they can be used to reinforce key concepts found inMET. The paper will also detail some of the introductory and advanced laboratories that havebeen developed, the specific hardware that was purchased, the results
,science education activities have included game design, technology, mathematics, and science to Scratch and Alicemobile application development, robotics, and wearable programming languages [5]. Their goal was to expose studentscomputing. We believed an even greater number of students to computing concepts at an early age and reach morecould be impacted by providing local K-12 teachers with students. The curriculum materials were developed during theprofessional development experiences using the technologies workshop for later implementation in the teachers’in the summer program. Hence, we piloted a three-week classrooms. Their results showed notable improvements inprofessional development
achieved assessment mapping level of learning outcomes. Assessment types are classified as a Function or not and then are further classified as Onto, Onto-Many, Onto-All-Many, Many, All-Many or none. This classification is done both at the course level as well as the program level where the program level is further divided into Program and Program-Curriculum. The details of this dashboard using the standard classification are presented.1 IntroductionBasing the improvement of education programs on the assessment of learning outcomes hasbecome a fundamental element of accreditation. For example, the Computing AccreditationCommission (CAC) of the Accreditation Board for Engineering and Technology (ABET)expects
pre-existing CS0 survey course, bypassed by those with CS experience, focused on abstract reasoning,yielding a “gate” course- viable for the few students with pre-existing abstract thinking and reasoning skills anda dull first encounter with CS for most. The missed opportunity to engage more students with CS, and alsoexpose various computer science and engineering fields to more first year students interested in technologyfields, and thereby contribute to program viability and growth, spurred curriculum renewal.In addition, evolution of the academic unit, from a 40-year-old computer science department that offers a singleundergraduate program with a selection of concentrations, to a school of computer science and engineering,which encompasses