challenges due to students’ different backgrounds, but also providesopportunities for the instructor to address the need for coordinated software and systemsengineering education. This work reports the pedagogical methodologies used and the findingsuncovered during the entire offering of the “combined software and systems requirements”course.1. IntroductionIt is long ago now when engineered systems were made only from physical components andmerely the traditional engineering disciplines were involved in the creation of systems.Nowadays for example, every manufactured vehicle used for our daily commute includes somesort of a computing unit that runs software. Software engineering is not anymore needed onlyfor, let’s say, computers and space rockets
experience [1-3]. Though virtuallab experience may never completely replace an actual physical lab experience in educationalinstitutions, in some ways virtual labs may provide a better experience than limited cookbook styleexecutions in a physical lab or reactor operator training course.We have earlier reported our initial efforts toward the development of a generic virtual and interactivelaboratory environment [3]. This virtual lab presents a fully immersive learning experience. We herereport the specifics of a radiation lab in which half-life and shielding experiments can be conducted, andsimulation-based real-physics data can be gathered.Virtual LabThe primary resource for the development of a virtual lab is a game engine. Built-in features in
wastecontribute to higher production cost. So is low capacity utilization and shift-to-shift outputvariation [1]. When product line change-over times are too long, the result is low utilization andproductivity. The search for ways for reducing production costs through improved effectivenessand efficiency is never ending. Companies have tried improvements through different initiativessuch as Lean, Lean 5S, Six Sigma, Lean Six Sigma, Total Productive Maintenance, bettertechnologies, layoffs, etc. so as to remain profitable. 5S is a methodology based on 5 simpleconcepts aimed at achieving a clean, organized, and comfortable work environment. It isgenerally believed that 5S initiative is a foundation for more disciplined actions [2] and whenproperly
largeamount of breadth would introduce EE and CpE topics earlier in the students’ course of study,enabling them to make a more well-informed choice of major.An effort to attract more students into the EE program was a “soda straw” solution to a largerissue: How can we better fit the student to the major? Figure 1 below, reprinted fromMatusovich, et. al. [1] shows a simplified view of Eccles expectancy-value theory [2]. The coursedescribed in this work aims to help students answer a question similar to the question on theright, “Do I want to earn an Electrical or Computer Engineering degree?” There are threeanswers to this question: 1) I choose Electrical Engineering. 2) I choose Computer Engineering. 3) I choose something else. Figure 1
with bus schedules, real-time bus location and delayinformation so they can plan trips accordingly, and to provide useful information to thetransportation center for management purpose. The developed system has been tested anddemonstrated successfully.IntroductionThe presented work is the outcome of an undergraduate capstone project. Students in theComputer Engineering Technology (CET) major at Central Connecticut State University arerequired to finish a capstone project in their senior year study. The capstone project isaccomplished by successful taking two consecutive courses, Capstone Project I and CapstoneProject II. The Capstone Project I course is 1-credit in which students research, propose andfinalize project ideas. The Capstone
required reorganization of thecontent (including a primer on Matlab programming, for example) and has limited the potentialpool of analysis problems. Beginning in the fall of 2014, the calendar transition will be completeand all students will have taken all of the desired prerequisites, including a structuredprogramming course.The course outcomes stated on the syllabus include the following: Upon completion of the course, students will be able to: 1. solve engineering problems using a variety of analysis methods and software tools. Page 24.18.3 2. apply numerical techniques such as Runge-Kutta methods and finite-difference methods to
engineering. Thereare several guiding principles of constructivism 14,20,24,36,41:1. Understanding comes from interactions with the environment. A learner’s knowledge comes from his/her pre-existing knowledge and experience; and new knowledge is formed when connecting previous experience to the new content and environment.2. Conflict in the mind or puzzlement is the stimulus for learning and determines the organization and nature of what is learned.3. Knowledge involves social negotiation and the evaluation of the viability of individual understanding.The literature suggests that a change in the development of curriculum in teaching IFEM coursesis worth exploring. When compared to
and directionfrom industry about the knowledge and skills expected of their graduates. This paper providesan overview of how a college-industry partnership born of the complementary goals of academiaand industry can be realized through faculty outreach.1. IntroductionAs educators of students in engineering and technology, most professors view the preparation ofstudents for post-graduation employment in their area of study as a primary goal. In helpingstudents prepare, many professors seek and utilize opportunities for the application of conceptsvia lab or homework assignments. This paper looks at how faculty can utilize outreachopportunities to help them develop applied classwork, homework, and lab assignments. Thematerial presented in this
is the Dean of the College of Engineering and ComputerScience (CECS) at CSUN. Co-PI’s include the department chairs in our college, as well as theircounterparts at the two partner institutions. The organization chart for the programimplementation is shown in Figure 1. An advisory board for the program has been appointed toprovide feedback and guidance. Included on the board are alumni from our institution who aremembers of under-represented groups. Assessment of the program is performed by a facultymember from our College of Education (one of the co-authors of this paper) with assistance fromgraduate students and college staff. Each department in the College of Engineering andComputer Science is an active participant in the program. Program
engineeringstudents [5]. However, up to date research on this aspect is still not adequate to generate acomprehensive understanding of PBL in engineering context. In 2013, California StateUniversity Los Angeles received a RIGEE grant from NSF to conduct an interdisciplinaryresearch to study the impact of collaborative project-based learning (CPBL) on the self-efficacyof traditionally underrepresented minority groups in electrical engineering courses. The projectgoals include: 1) Improve the understanding of the factors that affect the self-efficacy of minoritystudent groups in Engineering; 2) Develop better ways to measure the impact of collaborativelearning in the developmental stages of the student learning process in addition to the learningoutcomes; 3
multiple and diverse ideas to fully explore thesolution space3,4. This challenge is due, in part, to a lack of instruction on systematic approachesto idea generation and innovative thinking5,6,7,8. Instructors might encourage students to“brainstorm” to generate ideas9, but may not know or provide their students with specificinstructions about how to do so. This lack of formal idea generation instruction leaves students totheir own devices, and therefore, novice designers often fail to employ specific design strategiesas they initiate and develop concept ideas4.Existing research has uncovered two specific cognitive challenges associated with conceptgeneration in engineering: (1) engineers form an early attachment to their initial ideas and
establishing a common frameworkseems to be a necessary step toward informing curricular reform and program development.Development of the SchemeThree separate methodologies were used to develop the classification scheme: analysis of syllabi,analysis of results of workshop discussion, and a culminating Delphi study. Using a multiplemethod approach allowed for different, iterative versions of the scheme to be created. As moreinformation regarding course outcomes became available, gaps began to emerge. Due to thenature of the data collection, these inconsistencies were resolved and, as a result, completed amore accurate picture of first year engineering courses.Method 1: Analysis of syllabiIn an effort to identify common concepts and student learning
engineering and engineering technology. The universities,community colleges, and the public schools in this collaboration each have similar goals, since Page 24.27.2each of them teach robotics, embedded systems, and other supporting technology courses. Thisinstruction can teach a great deal of the same common material at the different levels. One of thegoals of the collaborative process is to build on what instructors at each previous level areteaching, and then further the students’ education without having to cover the same topics again.Figure 1 depicts the relationships between the technology platform described in this educationalproject in the
building agent-based simulation models of vehicle operations using our toolcalled Computational Thinking in Simulation and Model-Building (CTSiM) [1]. Students modelvehicles slowing down and speeding up at STOP signs, and vehicle flow in traffic on city streetsthat may include traffic lights and turns by applying Newton’s laws and calculus concepts. Oncethey demonstrate proficiency in building and simulating these models, they move on to oursecond tool called the Cloud-based, Collaborative, Scaled-up Modeling Environment (C2SuMo)to model and work on larger, complex problems that are more realistic, real-world scenarios.They include flow of traffic on multiple city streets, sets of traffic lights, and the occurrence ofdifferent traffic patterns
chronologyand specific phases of a construction project (preconstruction, construction, closeout, post-construction). Many of the technical issues are covered in specific courses such as Estimating- I,Estimating – II, Construction Management – II and MEP in Construction. Besides technicalskills, the necessity of integrating interpersonal skills has been mentioned by many scholars. 1, 2,3, 4 Construction Management - I is a lecture-based course. The lecture-based course is instructorcentered. In order to integrate interpersonal skills the author has developed different strategiesevery semester to keep the lecture more interactive and student-centered. The strategies includedfrom group studies to company interviews and presentations. According to the
systems, allowing them to be effective in thelaboratory and, ultimately, as data analysts/scientists [1][2][3][4]. One paradigm that has beenwidely adopted in industry is MapReduce as implemented in open-source tool, Hadoop [3].Although these systems are based on many years of research work, the conceptual framework onwhich these systems were built differs largely from what could be found in the earlier researchwork and education curricula. University courses available today are largely focused aroundvarious areas (some from repackaged content) that cover some selected parts of Big Dataspectrum, mostly: data mining, distributed systems and most recently data science [5][6][7].We believe that the pedagogical approach used by related education
engineering education.As a best practices paper, we describe the key elements of the course including thetheories that shaped the learning environment and learning objectives, provide evidenceof student learning outcomes, and suggest ways for using or improving upon this model.Course outcomes are described through the students’ voice as co-authors of this paper.The students used their final reflection assignment to collectively identify their: (1) initialperspectives on engineering education research and the influence of these perspectives ontheir experience in the course, (2) general “take aways” they believe will have a lastingimpact, (3) evolving perspectives on what it means to become an engineering educationprofessional and how they are
Kikendall Orr, Louisiana Tech University Page 24.32.1 c American Society for Engineering Education, 2014 A Comparative Study of Engineering Matriculation Practices NSF IEECI Grant 1025171Project goalsThe original major goals of this project are to: 1) describe the matriculation patterns anddisciplinary choices of engineering students using MIDFIELD and 2) explore the underlyingreasons for patterns found with MIDFIELD through interviews with sophomore engineeringstudents at selected MIDFIELD partners. A third goal has since been added to develop ataxonomy of engineering
identified five major factors that support the use of the theoretical frameworks tooperationalize andragogy, while identifying discrepancies among their sub-constructs. Studentdifferences have been primarily associated with developmental areas associated with emergingadulthood. These differences can greatly impact the way design educators mentor their studentsand coach them through teaming issues, especially for non-traditional students. Page 24.33.2Adult Learners in Undergraduate EducationArnett 1 has recognized that the classification of adult has changed since the 1970’s. He hasidentified a new life stage named “emerging adulthood” where the
physics education has matured and grown. A reasonablycomprehensive description of the state of the field can be found elsewhere 1. The process ofidentifying misconceptions, creating curricula to address those misconceptions and then evaluatingthe efficacy of instruction has been applied to many areas of physics 2, perhaps nowhere moresuccessfully than mechanics. In that arena, many well-validated and established instruments exist,including the Mechanics Baseline Test 3, Test of Understanding Graphics in Kinematics (TUG-K)4 Page 24.34.2and the Force Concept Inventory5 to name but a few. Physics educators have created a wide varietyof research
consists of 4 credit hours oflecture, and a 1 credit hour student activity session per week for 10 weeks. The completeCalculus course sequence consists of 4 quarter courses. Class size is normally capped at35. The department used to offer a more comprehensive and longer student activitysession per week until it was removed in 2008 due to budgetary reasons. However, noassessment was carried out to measure the effectiveness of the student activity session inthe past. The Engineering Calculus course is designed such that there is no compromise inthe rigorous treatment of Calculus, while addressing the specific needs of engineeringmajors. The new course includes 4 credit hours of lecture and a 2.5-hour student activitysession per week. The
delivered as a series of Saturday workshops set in a communityscience museum. Each year, cohorts of K-4 African American and Latino students and theirparents participated in eight 3-hour workshops comprised of student/parent sessions ofhands-on science and engineering activities as well as separate parent awareness anddevelopment sessions in STEM education and technology skill development. Mixed methodsresearch methodology is used to measure the program’s contribution to the advancement ofthe program goals. This program has incorporated major findings of more than 10-years ofresearch that suggests that improving children’s academic outcomes are much more effectivewhen the family is actively engaged.1 This program has offered opportunities for
appropriate engineering design challenges and assessing theengineering design experience. It is our contention that proper attention to these four areas willsupport the infusion and investigation of proper curricula and pedagogy needed to providesuccessful engineering design experiences for high school students.Keywords: framework, engineering design, and high schoolIntroductionNot all students will become engineers or pursue engineering careers after completing highschool but all students can benefit from having engineering design experiences in high school 1-3.The teaching of engineering design at the secondary level can help students develop criticalthinking skills, teambuilding skills and provides a platform for the integration of science
for education.Dr. Michael B. Lawrence, University of Virginia Page 24.38.1 c American Society for Engineering Education, 2014 A Course in Biomaterials Taught Using the Socratic MethodThe consensus definition of biomaterial is “a nonviable material used in a medical device,intended to interact with biological systems.1” The emphasis on nonviable materials intended tointeract with biological systems has perhaps guided the development of modern day education inbiomaterials science. That is certainly the case of the undergraduate course in Biomaterialstaught at the University of Virginia
toestablish their own experiment designs to explore chemical and physical phenomena related tojunior-level thermodynamics and transport courses. Concepts in statistics and numericalmethods, technical writing, engineering ethics, and laboratory and industrial safety are allintroduced in the scope of this course.This course serves as the first in our curriculum where students are responsible for the creation oflaboratory procedures, in contrast to their typical chemistry labs where experimental methods areprovided. Given a brief (1/2-1 page) prompt explaining the principle of interest and a list ofavailable laboratory equipment, students are required to explicitly outline the objective,hypothesis, and methods of their experiment, followed by
project. Mid-terms were used to evaluate knowledge of material balance principles, quizzeswere used to assess key concepts by means of short online questions, homework were dividedinto traditional exercises and project oriented assignments. The final project grade was obtainedthrough the Fluency Rubric average score, taking into account self-, peer-, expert-, and instructorassessments (See Appendix A). The Investment Theory of Creativity Rubric score was used asextra credit to enhance students’ motivation.The assigned final project was carried out in two stages (Figure 1). Thirty-eight students (fromthe three undergraduate programs) were grouped in teams of three to four members. Learning
Review of Measures of InnovativenessAbstractUnderstanding, evaluating, and promoting individual innovativeness is a critical step incultivating engineering leaders for the future. As a means of evaluating the gaps in currentresearch related to innovativeness assessment, this paper analyzes ten measures and models ofinnovativeness through two lenses: (1) their internal vs. external point of reference (i.e., attributevs. action); and (2) their relationship to key elements of cognitive function (i.e., cognitive level,style, and affect). From this review, it is clear that a comprehensive, rigorously validatedpsychometric instrument does not yet exist to assess the aptitudes, skills, knowledge, personaltraits, and behaviors that are indicative of an
performance report detailing the successes and failuresof each individual, the ECE group, and the CE group with whom they worked. A similarreflection piece was required of the CE students.1. IntroductionEach department within our College of Engineering teaches its own section of engineeringeconomy. Engineering economic analysis in practice, however, evaluates projects withcontributions from several different engineering disciplines. In an effort to close the gap betweenthe educational experience and experience in practice, we have developed a project-basedapproach to foster cross-disciplinary interactions between Electrical and Computer Engineering(ECE) students and Civil Engineering and Engineering Technology (CE) students during the Fall2013
the department’s mission is to improve retention of first yearengineering students. Research has shown that for engineering students success in the firstcollege mathematics course is critical for retention.1–3 Therefore, a major retention effort by thedepartment has been to improve the teaching and learning in its engineering mathematics coursesusing educational technologies. Many different sections and courses are taught every semesterby a combination of tenure/tenure track and term faculty. The department has worked to see thatthe use of adopted educational technologies is reasonably consistent across courses and faculty,and that the use of the technologies persists beyond any initial pilot phase. Many factors affectedthe selection and
statement; generating andevaluating ideas and specifications; leading and managing the process; and communicating the Page 24.44.3outcomes. Students formed teams following these procedures to complete two projects over onesemester. The course objectives are as follows: 1. Turn an idea into a final design. 2. Develop a problem statement, analyze proposed solutions and evaluate the final design. 3. Find a solution that meets technical, ethical, environmental, legal, etc. requirements. 4. Build ethics into the design process. 5. Use computer aided design software Autodesk Inventor. 6. Work with the Arduino platform, an open-source