suggest that even with today’s emphasis on first year programs in engineering themajority of engineering schools still depend on one or two credit, single semester, introductorycourses. The lack of prestige for professors associated with one credit introductory courses, aswell as the small effect on student GPA, leads to a situation where these courses becomeoutdated and irrelevant to the educational needs of the students13.At the Virginia Military Institute, the 1 credit hour Introduction to Mechanical Engineeringcourse, ME-105, had reached a point where it was of limited value to students, providing somebackground in manufacturing and design, but no information about the increasingly importantareas of programming and electromechanical systems
blades andcomputational fluid dynamic (CFD) analysis. In this case study, 5ms-1 wind speed is used since itreplicates the wind conditions in the local regions of Georgia. In this research, final results showa comparison of the validation study and the experimental analyses at 5ms-1. Figure 1 shows thefinal computer aided 3-D model of the designed NREL VI geometric blade for test comparison. (a) (b) Figure 1: NREL Phase VI 3D geometric blade design; (a) Reverse isometric view of NREL CAD design. (b) Isometric view of NREL CAD design.The validation comparison is made between Normal Force Coefficient CN and the Non-dimensional Span at 5ms-1. Figure 2 shows the
Paper ID #15674Integrating Computer Engineering Labs with a ”Sound Theme”Dr. Pong P. Chu, Cleveland State University c American Society for Engineering Education, 2016 Integrating Computer Engineering Labs with a “Sound Theme”1. Motivation Recent engineering education studies call for change to enhance student learning and to betterprepare graduates to meet the new challenge1,2,3. A good engineer should have a deepunderstanding of a domain and can apply the knowledge to solve problems4. This requires twotypes of practices – the “component skill,” which is the knowledge of a specific domain, and the“integration skill
improve teaching is to employ muddiest point reflections.Muddiest point reflections involve simply asking students to anonymously reflect on what was“muddy”, i.e. confusing, during class and to rank their level of confusion which not onlyaddresses students falling behind, but also shows students a commitment to their educationespecially when the instructor puts direct student quotes on the screen. Initially, developing aformative feedback process takes some effort, but once established, using a formative feedbackprocess requires little effort. The formative feedback process includes four steps: 1) acquiringdata from student reflections; 2) assessing and characterizing student responses in order todiagnose the learning issues that can impede
higher perceptions toward the Web-based distance learning activities/assignmentsportion of the hybrid program15. This study focuses on the hybrid offerings of introductoryenvironmental engineering course to understand the perceptions and attitudes of students as alearning environment for future environmental engineering courses.Study MethodologyAt the end of the semester, an on-line anonymous survey was conducted only for the hybridofferings with six questions to compare the students’ learning environment in the environmentalengineering course, with 50% in-class lecture (hybrid) and in-class midterms and final exams,with the traditional complete lecture-centric and fully on-line course. The questions are presentedin Figure 1. The data were
academic mobility increases especiallyin engineering. Altbach, et al. outline the trends in global higher education and define globalizationas “the reality shaped by an increasingly integrated world economy, new information andcommunications technology (ICT), the emergence of an international knowledge network, the roleof the English language, and other forces beyond the control of academic institutions”1.Universities are attempting to respond to globalization by promoting international mobilityprograms for students and faculty, sending students to study abroad, organizing professors’exchange or e-learning practices, setting up branch campuses overseas, and establishing jointacademic and research programs. A unique approach to introducing students
presented inthe full paper.Introduction Many students enter the engineering disciplines vastly unprepared to be successful in therigors of engineering academia. Student retention numbers in engineering are low [1] and someresearchers attribute this low retention rate to a lack of academic skills needed to beacademically successful [2]. This work in progress paper, framed by the theory of self-regulatedlearning, discusses a quantitative study conducted to look at the impact of an academic studentsuccess course developed to teach self-regulated learning skills to engineering students in thefirst year. This paper focuses on the initial data collection round as well as implications from thedata analysis that will inform the second iteration of
Appendix A. The course wasoffered as a two weekly 1.5 hour meetings for 14 weeks. The number of students in any sectionvaried from 15 to 30. Typically one or two graduate students helped during the classes asteaching assistants.The CAD and engineering graphics topics used the software Solidworks and were supported by atextbook by Shih [1]. Throughout the semester Solidworks was used with hand sketching andCNC machining. By the end of the semester students were able to design and build moderatecomplexity geometries, produce dimensioned drawings, and understand the basics of tolerancing.Other topics such as project management, fasteners, and energy based design were introduced.The software and electronic topics focused on an Arduino kit [2], a free
applicable to anindividual student. According to ABET, performance indicators are concrete measurable performances studentsmust meet as indicators of achievements of the outcome10. Therefore, performance indicatorswere developed for each student outcome through a departmental ABET committee and wereused for assessment in every course relevant to all engineering courses. Performance indicatorsfor the three student outcomes, outcomes a, c, and e, and corresponding rubric were given in theAppendix A. The scoring for the rubric ranges from 1 to 3 with 1 being unsatisfactory and 3being excellent. In the Design of Thermal Systems course, two simulation projects, one onpiping systems and another on thermal systems such as a land-based gas turbine system
knowledge and abilities.Recent developments and various studies shown that there are different modes of assessmentmethods have been practiced based on knowledge, skills, practice which is linked with unitlearning outcomes. Studies also revealed that effective or meaningful learning is conceivedwhere the learner constructs their own knowledge base assessment methods[1, 2]. This impliesthe learners to be self directed and focused on developing strategic learning behaviour[3].The aim of this investigation is to examine students’ experiences of assessment practices indesign based curriculum through an online survey given to the same cohort of students inthird year and fourth year undergraduate engineering. This paper is discussing about thedifference
technologies could be used as aneducational method to teach the design process. Students participated in three anonymoussurveys. The surveys were administered at: (1) the start of the fall semester to all students(honors and non-honors) for baseline data, (2) after the first 3D Print experience (a car), and (3)after the second 3D print experience (flying disc). Findings indicate that 3D Printing basedprojects are perceived to be both interesting and relevant by students; further there were nostatistically significant differences between male and female or honors and non-honors studentsin terms of their prior experiences with the technology or in their interest in learning about thetechnology.IntroductionNational attention has been given to the need to
guidance on outcomes and objectives and to provide feedback onimproving the program.Assessment and RubricsThe rubric used by the working professionals during the poster session is shown in Figure 1 inthe Appendix. Figure 2 in the appendix shows the oral presentation rubric used by faculty duringthe afternoon session.The first question on the poster rubric of Figure 1 is used as a supplementary assessment methodfor ABET outcome (a) an ability to apply knowledge of mathematics, science, and engineering.Other methods outside of the senior project sequence provide a more granular measurement thatallows changes to specific courses for correction. We use the results of this question as a way todetermine the suitability of a project for this class
evidence of effectiveness of this particular instructional innovation in advancingstudents’ knowledge and abilities in engineering. Furthermore, we found the R&D methodologyprovided an appropriate, systematic framework for integrating research methodologies at everyphase in the R&D process.1.1. IntroductionInstruction must be reoriented for 21st century engineering learning1 to keep the United Statesglobally competitive to lead, innovate, and create future jobs.2 Contemporary society demands acitizenry familiar with the complexity of real-world problems associated with societal systemscoming into direct contact with the Earth’s natural systems.1, 2, 3 Particularly in urban areas,where natural Earth systems can seriously threaten human life
virtual communities of practice models for faculty developmentAbstract Faculty development is a possible pathway to inform and encourage adoption of research-based education practices into engineering classrooms. We developed a model for facultydevelopment called a virtual community of practice. In this model we sought to engage facultywith research-based education practices, and more specifically, focus on their implementation ofthese practices in their courses. Two different VCP designs were utilized in our program. Thefirst cohort (Cycle 1) consisted of faculty that were grouped based on similar courses (n = 77).The second cohort (Cycle 2) consisted of faculty that were grouped based on similar
(2004), Boston East Pipeline Network; and Alumni, Lead Boston 2004 (The National Conference for Community and Justice). She won the 2006 Northeastern University Aspiration Award, and was recognized at the 2003 Northeastern University Reception honoring Principal Investigators that obtained funding in excess of $1 million over a five-year period.Marina Bograd c American Society for Engineering Education, 2016TRANSFORM: TRANSFORMing liberal arts careers to meet demand for advanced manufacturing workforceAbstractIt is well recognized that a liberal arts degree (BA) equips graduates with many essential skillscited as critical for the current and future workforce. These include but are not
. Compared to traditional methods,PBL is used to address five objectives 1 including construction of useful knowledge,development of reasoning strategies, development of effective self-directed learning strategies,increased motivation for learning and becoming effective collaborators. Of particular interest tothe authors is the effect of PBL on increasing motivation and attitude towards geotechnicalengineering. The effect of this is two-fold, the effect of motivation towards learning the materialin an introductory geotechnical engineering course, and the effect of attracting graduate studentsto geotechnical engineering.More than 25 years ago Marcuson et al.2 noted that “today, the entry-level degree to theprofession of geotechnical engineering is
and showed a strong andsignificant correlation with closeness. Structural equation modeling shows that closeness is oneof four major predictors of grade performance, along with mechanics self-efficacy, personalqualities such as URM and First Generation College status and class size. Finally, empathy levelswere a meaningful predictor of closeness as had been expected. Implications are discussedincluding suggestions for ways to improve closeness within engineering classes and futureresearch opportunities.IntroductionThe instruction technique of large class (400 students +) lectures have been a part of universityeducation for at least the past 900 years 1. The impact of class size on learning has beenrigorously studied for the past 60 years and
the data for findingsrelated to student learning outcomes and engagement1,2. The second study was devised toinvestigate fourth year students’ perceptions of the CEAB Graduate Attribute competencies asdeveloped within their Engineering program3-5. All interview and focus group transcripts weremember-checked to substantiate the data for these previous studies20. Students in the Thermodynamics study were asked to speak about their experiences in thecourse; teaching strategies that facilitated their learning; their characteristics as a learner (i.e.,How do you learn best? What is your preferred style of learning? Do you prefer individual orgroup work?); and to reflect on any unexpected learning outcomes. One interview (n=1) and onefocus
complexsystems that bring the solution of real world problems to the desktop. Universities maintain thelatest of these systems, recognizing the direct benefit towards the attainment of studentoutcomes, especially in the engineering disciplines which need to comply with EAC-ABETcriteria. Johannesen suggests that “When understood, more interesting and complicatedsituations can be explored with the help of computational tools”[1].Tajvidi et al note that“Particularly in engineering dynamics, Computer Simulation and Animation [CSA ] modules candemonstrate motion of particles and rigid bodies through computer animations, helping studentspicture the concepts taught in the course”[2].Computers have their greatest impact not bydisplacing the entire course, but
intensive, hands-on, motivationalexperience where each student would build, program, and develop the interface between theprogramming board and the robot hardware. We hoped that along the way the students wouldlearn about different engineering fields, computer science, and also the basics of computerprogramming and interfacing. The course concluded with a robot competition. Studentscompeted to see which robot could go through an unknown maze without bumping into mazewalls in the shortest time. The course objectives included: 1) Take the mystery out ofengineering and computing, 2) Show that engineering and computer science is fun and exciting,3) Demonstrate that engineering is for both women and men, 4) Emphasize hands-on, learn bydoing exercises
interest. Successful transition from analysis to design willenhance students’ ability to perform well in the capstone course where integration of knowledgeand skills is required in solve design problems.Students’ analytical skills and disciplinary knowledge play an important role in innovation in thecontext of mechanical design education.1 Efforts have been made to investigate the type ofknowledge, acquired across the undergraduate time span, students use when making designdecisions. The open-end nature of mechanical design problem requires students to “think out ofthe box,” deal with multiple choices and make trade-offs according to requirements. It wasreported that design teams in the capstone courses offer a higher number of decisions per
developed for the Introduction to ECE class.Module 1: In the first course module students get introduced to electrical and electronic circuits.The NI Multisim11 & Ultiboard12 software for circuit design, simulation and board layout areused as the software tools. A practical example on the design and simulation of a traffic lightcircuit is used to illustrate the concepts and provide meaningful experience for the students.Circuit components such as resistors and capacitors, and electronic components such asoscillators and timers, and digital logic gates are introduced and used to build a hardwarerealization of traffic light circuit. A potentiometer is used to control the timing of the signals inthe circuit.Topics covered: • Introduction to
successamong students: self-efficacy, sense of belonging, and identification with computing. Self-efficacy refersto beliefs about one’s ability to plan for and execute steps necessary for future success. 1 Research hasshown that self-efficacy promotes academic performance and motivation. 12 A sense of belonging isdefined as the subjective feeling of fitting in and being included as a valued and legitimate member of anacademic discipline, and is a known predictor of academic persistence and achievement. 9, 10, 35 Finally,domain identification refers to one’s self-definition, or the degree to which one feels that their academicpursuits are an important element of “who they are”. As a frame of reference, consider the differencebetween belonging and
that represented students at various stages of the engineering program. Studentsenrolled in these classes were primarily civil engineer majors; the rest of the students were fromvarious engineering departments and other STEM-related fields. The survey was organizedaccording to the following research questions: 1) How do students prepare for class? 2) How do students prepare for exams? 3) Is there a universal correlation between student preparation and final grades regardlessof the instructor or student background?The electronic survey was divided into two sections. The first section related to studentbackground, including student ID, which current classes they were currently enrolled in whiletaking the survey, major
drop outof engineering programs for work or family reasons after completing sophomore courses also hasinterest in this program. In addition to presenting the program design and operation, this paperdiscusses the potential market for the program nationwide, preliminary student performance, andthe results of a faculty survey about online courses.1. Program Overview Beginning in the fall 2014, the Industrial Engineering (IE) department at LamarUniversity (LU) began offering a BSIE degree in a 2+2 online format. The goal of the 2+2 onlineoption is to reach capable students who are unable to complete a traditional engineering programdue to location and time of day restrictions. The 2+2 format has students take the first two yearusing
]. There has not been any studies comparingCM learning styles and engineering learning styles. The lack of studies in this area indicates agap in the literature. This study was designed to examine the learning styles of a largerpopulation of CM students from across the U.S. and compare them to engineering learning stylesto fill the gap.Research QuestionsThe research questions for this study were; 1. What are the learning styles of undergraduatestudents in four year CM curriculum programs? 2. How do CM student learning styles comparewith other engineering student learning style studies [13, 18, 20, 21], to determine if there is adifference between learning styles specific to CM students and engineering students, as has beencalled for by Felder and
which is required of some of the 4+1 Programsavailable in engineering and computer science for students to be able to earn a Master’s Degreein one year after their Bachelor’s degree.Which parts of the Plan are the most important to the students, in general, was not known. In Fall2015, a survey on the components associated with the 4.0 Plan was given to a class of 62students with 59 students (95.2%) responding. The results of this survey are given and analyzed.These results give insight into how the 4.0 Plan is perceived by the students and can be used infuture instruction of the 4.0 Plan. The goal of all this is to help the ENGR student understand thatthere are things to learn about learning and methods that can be used to enhance learning.For
be used to experiment with Buckconverters, Boost converters, Buck-Boost converters, closed-loop voltage mode control of aBuck converter based on the K-factor approach, peak current mode control of a Buck converter,flyback converters, and forward converters. Configuring the board to implement any of theconverter circuits just involves flipping selection switches on the board, connecting a couple ofwires between appropriate screw terminals, plugging in the appropriate magnetics board, andconnecting external power and loads. Fig. 1 (taken from the UMN lab manual) depicts thewiring (shown with thicker lines) needed to configure the PPB as a buck converter. The DCinput voltage to be stepped down is connected to the left side of the board via
course wasCapital Investment Analysis for Engineering and Management, 3rd edition, by Canada, Sullivan,White, and Kulonda.After teaching AdvEngEcon in 2014, I decided to provide an enhanced treatment of real options in2015. Toward that end, I developed a tutorial, targeting undergraduate students enrolled inAdvEngEcon. The tutorial has been revised numerous times in an attempt to increase its value tostudents taking the course. A copy of the tutorial for the 2016 spring semester is provided in theAppendix.My purposes in preparing this paper are twofold: 1) encourage engineering economy educators toincorporate real-options analysis in their engineering economy courses and 2) share lessons learnedin teaching the subject of real-options analysis to
, gradually explaining concepts of higher levels of complexity by looking at puzzlesfrom different points of view.As efforts are currently being explored by a number of educators to achieve a similar goal, thisproject focuses on creating a working manuscript for instructors to explain many key topics inControl Systems using puzzles and teasers. This is part of a greater effort at Florida AtlanticUniversity, where this approach is currently being applied to different subjects in STEM.To gauge the receptiveness of the methodology, a few puzzles and activities were used over thecourse of a semester in an Electrical Engineering class entitled “Control Systems 1.” The results,based on 40 student responses, were promising. Most students strongly agreed