Paper ID #15834Development and Evaluation of a Computer Program to Assess Student CADModelsDr. Steven Joseph Kirstukas, Central Connecticut State University Steve Kirstukas is an Associate Professor at CCSU, where he teaches courses in solid modeling, MATLAB programming, and engineering mechanics. He is exploring the use of computer-aided assessment of CAD files to give consistent, accurate, and quick feedback to students. He has degrees in civil and mechanical engineering, with a Ph.D. from the University of Minnesota. Steve has worked in industry as a civil engineer, software developer, biomechanics researcher, and
students practice what they learn.Application driven project-based design courses align well with SBG because their naturedemands repeat assessment of fundamental learning objectives.MethodsSampleThe SBG approach was implemented in project-based design courses at two institutions withABET accredited engineering programs. These courses were taught at institutions with verydifferent Carnegie classifications: a small, private, regional liberal arts college (ElizabethtownCollege) and a large, public, state research university (Arizona State University). While thecourses differ in structure, they are comparable in that both were designed with the same purposeto provide students with opportunities to practice and apply the engineering design
over graduate school. Thepaper provides an in-depth discussion on the findings of the REU program evaluation and itsimpact on undergraduate students with respect to their future plans and career choice. The analysisis also done by gender, ethnicity, academic level (sophomore, junior, senior), and type of homeinstitution (e.g., large research universities, rural and small schools) to explore if there was anysignificant difference in mean research competency scores based on these attributes. 1. IntroductionToday’s manufacturing operations are more complex and globally scalable compared to those inthe last century (Lee et al., 2016). This complexity in manufacturing operations is due to a shift inmanufacturing from craftsmanship model in the
Page 2.114.1turn has caused substantial movement in specialized accreditation agencies to also 1contemplatethis trend. This is certainly true with ABET. Recently the Engineering AccreditationCommission (EAC) of ABET has proposed new out-come based criteria for engineeringprograms. These criteria known as “Criteria 2000” [2] are currently being utilized in pilotaccreditation visits with plans for full implementation on or before the year 2000.In conjunction with the national movement towards outcome-based assessment, there has alsobeen a great deal of interest in applying Continuous Quality Improvement (CQI) principles thathave been so successful in industry to academic institutions and programs
courses,although required for graduation by only one or a few majors, are taken as elective courses bymany students. The EEE program also offers a minor, and the three courses discussed here arerequirements for the minor or often selected by students completing the minor. In addition,“Introduction to Environmental and Ecological Engineering” and “Engineering EnvironmentalSustainability” were part of a campus-wide curriculum transformation program, which also lentcampus-wide visibility to the courses.Assessment of Selected Student Outcomes The EEE undergraduate degree is relatively new, with a small number of graduates. Inthis paper, we discuss qualitative assessments of selected student outcomes. The assessments aremeant to be snapshots of
student retention is already in existence. Thus far, it has been attempted to make the classroom environment more interactive in order to increase student retention in STEM programs. “The Association of American Universities, which represents 61 of the largest research institutions, announced a five-year initiative to encourage faculty members in the STEM fields to use more interactive teaching techniques.” 4Significance of the StudyBased upon the discussion in the “background search” in the next section, it can be seen thatincluding regular quizzes had a positive impact on students’ performance. While they weregenerally very beneficial to students, we desired to investigate the continuous assessment ofstudents' knowledge
Paper ID #38357Assessing Educational Pathways for Manufacturing in RuralCommunities: Research Findings and Implications from anInvestigation of New and Existing Programs in NorthwestFloridaMarcia A. Mardis (Dr.)Faye R Jones (Dr.) © American Society for Engineering Education, 2022 Powered by www.slayte.com Assessing Educational Pathways for Manufacturing in Rural Communities: Research Findings and Implications from an Investigation of New and Existing Programs in Northwest FloridaAbstractIn northwest Florida, advanced manufacturing (AM) jobs far outpace the middle-skilledtechnician workforce, though
Session 1526 Clemson University’s EXPerimental Engineering in Real Time (EXPERT) Program: Assessing the benefit of real-time sensors in the curriculum Matthew W. Ohland, Elizabeth A. Stephan, Benjamin L. Sill General Engineering, Clemson University, Clemson, SC 29634AbstractEXPerimental Engineering in Real-Time (EXPERT) is a three-year NSF-sponsored project atClemson University to study the benefit of using experiments with real-time sensors to improvestudent understanding of the graphical representation of various physical concepts and auxiliarybenefit in understanding the concept itself. The project builds on
comprehensive projects.Students can also have small successes throughout the learning process, through weeklyassignments and assessments, thus helping with student retention within the program. Byproviding weekly assessments they have time to improve and integrate new concepts beforemajor projects are assigned.On a program assessment level, the flexibility for students to repeat courses due to technicalupdates and need to revisit aesthetic and soft skill requirements is necessary. This is done in thePurdue University Calumet Computer Graphics Program through selectives and special interestcourse offerings. Therefore a senior level student can take an overhauled 100 or 200 level courseand apply new technical concepts along with the ability to refresh
Engineer in the Real World”Key words: “project-based learning,” “international,” “assessment”IntroductionThe quotation in the title of this paper is a student’s statement about the future impact of hisproject-abroad experience in South Africa. Indeed, study-abroad and project-abroad experiencesare increasingly viewed as important for engineering students’ careers. Assessing the studentlearning outcomes of such programs can benefit (a) the students, as they engage in self-reflectionand communication about their experience, (b) the study-abroad program itself, for continualimprovement, and (c) the engineering education community at large, as it seeks effectivemethods and models for preparing engineers for their work. To
Robotics Design ProjectThe Mobile Robotics Project introduces students to the field of robotics, engineering mechanicsof gears and motors, electrical sensors, and the basics of computer programming. The projectobjectives were to design a robot for use in search and rescue missions where access was limitedto small spaces. The design of the robot had to be as inexpensive as possible due to thelikelihood of losing the robot during the mission, while still meeting the mission objectives. Theability of the robot to maneuver through small spaces and around fallen debris would be testedusing a randomly assigned 20 by 3 foot obstacle course without moving outside the boundary.Student teams build robots using LEGO robotics kits and programmed it using the
Session 3120 An Evaluation of Student Performance in an Introductory Programming Course with and without the Quantitative Analysis Prerequisite: A Piece of the Assessment Process Eugenia Fernandez Purdue School of Engineering and Technology Indiana University Purdue University IndianapolisIntroductionPrerequisites are standard in any curriculum and serve as a measure of course preparedness. Thesequencing of course prerequisites provides structure to a curriculum. ABET accreditationevaluation criteria require sequences of courses using a
initial method of assessing student performance with laptops versus those without, isbased on the method of resampling[1,2]. This method does not depend on the underlyingdistribution. The basic method was to develop the probability distribution of all possiblesubgroup scores. Here the subgroup size is equal to the number of students receiving laptops.Consider a class with a total of N students in which M laptops were distributed at random, M< N. From the final scores in the course all possible averages of M grades were desired. The N!number of possible combinations is . This number can be very large for a typical (N − M )! M !class and
years for 15 years.Seniors have been working on a large group project under the direction of a student chiefengineer for over 60 years.1 In the senior, unit operations laboratory, students work in pairs.This paper presents unscientific observations and anecdotes from many years of experience withteam formation and functioning. Methods for assessing teamwork will also be discussed.Observations on Team FormationThree methods have been used to form teams. At times, teams have been formed by student self-selection. At times, they have been assigned by the instructors. And, more recently, studentshave been permitted to choose a partner, and the pairs were paired by the instructors.In the unit operations laboratory, pairs are assigned by the
strengths. The clearexamples make it easy for students to understand and apply these techniques in their code. Forquick tasks, beginners might find System.out.printf() easy to use, while those wanting morecontrol might prefer DecimalFormat. The practical examples allow learners to see immediateresults, helping them grasp formatting concepts in Java.However, there are some drawbacks to consider. The methods shown are basic and may notcover all the situations students will face in real-life programming, such as formattingcurrency or handling very large or small numbers. Additionally, the response might simplifythe process too much, causing students to miss important details, like when to format numbersfor display versus calculations.The examples do
group, with varying academic standings anddisciplinary backgrounds. This sample was selected from a large group of fourth year students,based on their willingness to participate. The students were an important part of instrumentrevision since this helped to determine concepts that may have been communicated poorly and tosuggest modifications to these questions. Following this revision, the instrument was edited andbecame what is presented in this paper.ConclusionThe development of this instrument has allowed for a first attempt to look more closely at amissing element of engineering design education; the assessment of student perceptions at theculmination of a course or program. The next step will be to deploy this instrument within a classof
programming syntax. Instead, the questions attempt to assess fundamentalreasoning skills that we hypothesize are important for success as a programmer. A multiplelinear regression finds a significant correlation between scores on some of the diagnosticquestions and exam scores in the course, but there remains substantial variance in exam scoresunexplained by the model, even after accounting for students’ major and different instructors.Nonetheless, students with low scores on one particular diagnostic question have a much higherrisk of earning a D, F, or W in the course (44%) compared to the other students in the course(13%), as computed on a validation data set.IntroductionContent throughout introductory programming courses—commonly called “CS1
understanding of materials behaviour. The assessment of theirlaboratory work is often laborious and time consuming. And still there is a difficulty inrelating the experimental work to the student’s chosen area of engineering. An experimentalsystem was developed which incorporated both “hands-on” engineering and on-lineassessment and learning of laboratory material8. One such area was mechanical testing whichis common to all engineering disciplines, and is not difficult to conduct experiments in thelaboratory.Included in Figure 1 is a diagrammatic representation of the laboratory arrangements as theyrelate to the overall teaching and learning program. The large cohort of students was dividedinto small groups for laboratory work. Prior to experimental
% Collofello & Ng8 53 35.3% Chen et al.9 360 22.9%The jeopardy to the validity of an assessment study increases significantly when dealing with asmaller and more diverse population like the one of the environmental engineering (EnvE)graduate program at the center of this study. This program consists of approximately 60 to 65on-campus graduate students on average, a small population compared to those of studies listedin Table 1. (An exact count of students at the time of study was unavailable due to inaccuraterecords, but the 60-to-65 range is of high confidence.) Students are either in the master’s or thePh.D. degree program; Ph.D. students outnumber master’s students by a
University in mechanical engineering and STEM education respectively, and completed postdoctoral work at the University of Michigan ©American Society for Engineering Education, 2023 Assessment of a Survey Instrument for Measuring Affective PathwaysAbstractThis research paper analyzes the emotions that students experience while completing ill-definedcomplex problems called Open-Ended Modeling Problems in their engineering courses. Studentsare asked to make their own modeling decisions, rather than being given those assumptions, as isthe case in most textbook problems. There are many approaches they can take, and having tomake decisions and assumptions that impact the
AC 2012-4488: EVOLVING A RUBRIC FOR USE IN ASSESSING ENGI-NEERING GRADUATE ATTRIBUTES IN A STUDENT SENIOR RESEARCHTHESISMr. Alan Chong, University of Toronto Alan Chong is a Senior Lecturer in the Engineering Communication program at the University of Toronto, housed in the Faculty of Applied Science and Engineering, where he teaches technical communication to undergraduate engineering students. He has spent the last five years working with engineering faculty to conduct research on and develop integrated courses in engineering design, research and communication, focusing on designing tools for better assessment and instruction, and improving students’ critical thinking skills.Ms. Lisa Romkey, University of Toronto
examines three K-12 engineering enrichment programs and their influence on college enrollment and graduationrates for past participants of the programs. The programs, conducted by a large public universityin the mid-Atlantic, target women and underrepresented minorities and draw most of theprogram participants from the surrounding economically disadvantaged counties. The firstprogram is week-long summer day camp targeting middle school students. The second is a year-long program hosting two events each semester targeting minority sophomores and seniors. Thethird is a 2-week overnight summer camp for junior and senior women. To assess the long-termimpact of these programs on interest in engineering, we performed telephone surveys of
tosuccessful early intervention, whereas early intervention programs offer a vehicle to focus effortswhere they are most impactful by targeting at-risk students. Our contribution is to propose and evaluate a course-integrated early intervention approach where the intervention pathway for at-risk students consists of an oral assessment with a member of the instructional team.Below, we will describe the specifics of how we implemented this approach in one of ourcourses.Implementation and ParticipantsCourse: We integrated our proposed approach into an introduction-to-electrical-circuits coursein the Electrical and Computer Engineering Department at a large public university (UC SanDiego), in Fall’22. This course is the first engineering course for
in reflective learning and personal self reflection in engineering classes in addition to her passion for engineering ethics and conceptual learning.Nozomi Nishimura, Cornell UniversityProf. Isaac Smith, Brigham Young UniversityDr. David M. Small, Cornell University American c Society for Engineering Education, 2021 Enhancing the teaching of research ethics through encounters with patients and reflectionIntroductionResponsible conduct of research is a major element of all engineering disciplines but is especiallyimportant in biomedical engineering. Recently, there has been a movement toward more stringentresearch ethics practices due to
Curricula". Journal of Professional Issues in Engineering Education and Practice, 2002. 128(4): p. 152- 159.5. Byrne, C., et al. "Integrated Professional Component Plan from Freshmen Experience to Senior Project". In Proceedings of American Society for Engineering Education Annual Conference and Exposition. 2004. Salt Lake City, UT.6. Carlson, P.A. and F.C. Berry. "Calibrated Peer Review: A Tool for Assessing the Process as Well as the Product in Learning Outcomes". In Proceedings of American Society for Engineering Education Annual Conference and Exposition. 2005. Portland, OR.7. Catalano, G.D. "The Freshman Engineering Program at the State University of New York at Binghamton". In Proceedings of American
-assessmenthas also been used, often in combination with industry and faculty evaluation13. Student selfevaluations often reveal what students feel they learned from the course, but may or may notreveal how they felt about the quality or effectiveness of the design itself. The current studyseeks to assess the quality of the final designs developed during the capstone design course, andto determine what, if any, effect the timing of co-op experience has on the designs.Mechanical Engineering Capstone Design at Northeastern University Northeastern university has a longstanding co-operative education program. During the typical 5year course of study, the students have the opportunity for 3 co-op experiences, each lasting 6months. In addition to the co-op
AC 2010-1963: DESIGN AND ASSESSMENT OF PROFESSIONAL EDUCATIONALDEVELOPMENT PROGRAMMING FOR GRADUATE STUDENTS AT ARESEARCH EXTENSIVE UNIVERSITYSunni Newton, Georgia Institute of Technology Sunni H. Newton is currently in her 4th year of Georgia Tech's PhD program in industrial organizational psychology, with a minor in quantitative psychology. She attended Georgia Tech as an undergraduate, double-majoring in psychology and management. She worked for several years as a graduate research assistant in a psychology lab where she helped conduct studies on adult learning. She currently works as a graduate research assistant in Georgia Tech's Center for the Enhancement of Teaching and Learning (CETL) where
, Detroit; MSME from Texas Tech University; BSME from Makerere University. He worked several years in Facilities as Manager of Plant operations, then as Manager of Engineering, leading and directing Campus Facility engineering activities for campus buildings and Utility infrastructure. He is now senior Lecturer with the Freshman Engineering program. Page 11.435.1© American Society for Engineering Education, 2006 Developing an Assessment Regime for Pan-Mentoring in Creative Engineering DesignAbstract Pan-mentoring (from the Greek pan meaning all, to indicate a mentoring relationship
AC 2007-402: ASSESSMENT OF AN ENGINEERING STUDY ABROADPROGRAM: REFLECTIONS FROM THE FIRST 124 STUDENTS (2001 - 2006)Solomon Eisenberg, Boston University Solomon Eisenberg is Associate Dean of Undergraduate Programs at the Boston University College of Engineering (since 1998) and Professor of Biomedical Engineering and Electrical Engineering. He received the SB, SM and ScD degrees in Electrical Engineering from MIT, and joined the faculty at BU in 1983. He was a 1987 recipient of an NSF PYI Award, and received the Metcalf Award for Excellence in Teaching from BU in 1990. He served as Dean ad interim of the Boston University College of Engineering for the 2005/06 academic year.Jo-Ann Murray, Boston
Paper ID #17857Development and Use of a Client Interaction Rubric for Formative Assess-mentDr. John K. Estell, Ohio Northern University Dr. John K Estell is Professor of Computer Engineering and Computer Science at Ohio Northern Uni- versity, providing instruction primarily in the areas of introductory computer programming and first-year engineering. He has been on the faculty of the Electrical & Computer Engineering and Computer Science Department since 2001, and served as department chair from 2001-2010. He received a B.S.C.S.E. degree from The University of Toledo and the M.S. and Ph.D. degrees in Computer Science