, there has been little experience with graduateprograms, and the Byzantine and, occasionally, Machiavellian curricular machinations associatedwith the gerrymandering of undergraduate curricula have yet to tarnish the graduate curricula.The substance of the program, including its presentation, management, and its assessment are theresponsibility of faculty with appropriate academic qualifications and agendas.Early on, the number of faculty participating in the Biomedical Engineering department limitedthe course offerings in the department, to include DL offerings. Therefore it was incumbent onthe program to offer a coherent plan for the DL students to access all courses necessary tocomplete the program. Choice was also limited by the requirement
projects • Assess one's own abilities with respect to critical project management skills and develop a plan for addressing weaknesses • Explain and apply methods for comparing and selecting/prioritizing competing projects • Define and analyze steps needed to effectively initiate a project • Describe, design and apply processes and tools needed to effectively plan a project • Design strategies and methods needed to effectively monitor and control a project's performance with respect to project objectives (costs, schedule, quality and others) • Analyze, apply and design strategies and methods needed to effectively identify, assess and manage project risks • Describe, apply and analyze strategies and
their impact on graduation. The study reports that highschool GPA and quantitative SAT score were the only significant factors for all models testedand the significance of other predictors varied among institutions.This research has expanded to examine personality measures as predictors of college success.For example, one study examined cognitive and psychological variables to assess the freshmenGPA of 70 college women with higher predicted GPA , both high school GPA and academicself-concept formed a strong model that predicted 56% of the variance in GPA. For collegewomen with lower predicted GPAs, the factors of internal locus of control and amount of effortput into work accounted for 46% of the variance. 8In a recent study, cognitive and
automatically be generated forthe students through a mail merge operation. These grade sheets can then either beprinted in hard copy or e-mailed to the students as pdf attachments. Individual studentperformance can be tracked and graphed over time on multiple dimensions, allowing foreasier observation of students who may be struggling with key concepts in the course,and the data can be used for overall assessment of course outcomes.1. IntroductionOne of the aspects that often surprises new engineering faculty members is the amount oftime which must be devoted to grading. This is especially true if one is at anundergraduate teaching institution which does not have teaching assistants. In thisenvironment, faculty members are faced with grading for 2-4
graphics course. The four delivery modes aretraditional face-to-face instruction, synchronous distance education using audiographicstechnology, asynchronous online instruction, and hybrid of face-to-face with asynchronous andsynchronous online instruction. In general, each section of the course was delivered by the sameinstructor to undergraduate engineering students in their first or second year. In order to assessthe effectiveness of each delivery mode, this research considers the observations of the instructorand the commentary from the students. Also, a posttest was given to students to assess theirknowledge in basic areas of engineering graphics, including projections, visualization, anddimensioning. The results of this work will compare the
occasion Senior Industrial Co-op industry, full time SeniorOne of the key points of the analysis is that the Wants are knowledge and skills wanted byemployers; not perceptions expressed by students. These Wants are established by engineeringfaculty, Industrial Advisory Board (IAB), accreditation agency, and discipline-relatedprofessional societies. However, students have input on how the knowledge is transferred tothem and their skills developed in the course of the study because they are the immediatecustomers here. Page 14.374.5Table 2. Learning activities assessed in QFD matrices presented in Tables 3, 4
finally, faculty should avail themselves of institutionalsupport for improving teaching.1. IntroductionIn most engineering schools, except for research, teaching is the most important factor on whichreappointment, promotion, and tenure are based. And teaching is most often evaluated usingstudent course evaluations. This places faculty in a delicate position, a reciprocal relationshipbetween their students and them, in which each party is assessing the other and influencing theirsubsequent advancement. For this reason, student course evaluation is one of the mostcontentious issues [1] in all kinds of academic departments and all kinds of institutions.Instructors rightly point out that other factors should be considered when determining theefficacy
in GMU offering a Graduate Certificate Program in TechnicalEntrepreneurship tailored to meet the needs of USACE. Technological change and the increasein privatization and enterprise development trends within the public sector require a wide varietyof multidisciplinary skills for the successful management of government technical programs andprojects. The graduate level technical entrepreneurship certificate responds to the need for broadtraining in entrepreneurial skills, performance measurement, engineering informationmanagement, systems analysis and leadership.This paper assesses the impact of the GMU certificate program on USACE Headquarters and itsemployees. It attempts to answer the question: Are USACE engineers better leaders
and a quantitativemeasure can be established for them. A new hierarchy of the student perceived criteria isdeveloped. We show that the SET questions are not testing independent variables butrather correlated ones. A strong correlation between three out of four SET questions hasbeen confirmed and quantitatively assessed. We also report that students reveal triggeringfactors that override their normal criteria for assigning SET scores.Authors are hopeful that the study may be of interest to new and established engineeringinstructors. Furthermore, in order to increase the relevance of our conclusions we areplanning to use this pilot study as a guideline for a broader research to be conducted at ahandful of universities involving different
AC 2009-68: DETECTION AND ASSESSMENT OF QUALITY INDICATORS OFVISUAL-BASED LEARNING MATERIAL IN ENGINEERING EDUCATIONPROGRAMS FOR GRADES 7-12Petros Katsioloudis, Old Dominion University Petros Katsioloudis was born in Cyprus. He was educated in the United States where he received a Bachelors of Science degree in Science and Technology, a Masters of Education in Technology Education and a Doctoral Degree in Technology Education at North Carolina State University. Currently he is employed at Old Dominion University where he serves as an Assistant Professor, teaching various Technology Education courses and conducting research. Petros is also serving as the Ambassador of Cyprus to the
too low, a warning pops up on the screen stating that theheater is running out of air. Using a simulator is not only safer than making adjustments on anoperating heater, it is also much faster and easier for instructional purposes. Real heaterssometimes take 15 minutes or more to react to changes in damper positions, while the simulatorreacts immediately. Also, noise levels are often high around operating heaters making it difficultto communicate with a group of students, which is not the case using a simulator in a classroom. Page 14.721.12 Figure 12. Example screen from heater simulator.AssessmentAn assessment of the
2006-350: ELEMENTARY TEACHERS’ UNDERSTANDINGS OF ENGINEERINGAND TECHNOLOGYChristine Cunningham, Museum of Science, Boston Christine M. Cunningham is the Vice President of Research at the Museum of Science, Boston. She has been developing science and engineering curriculum, designing and offering teacher professional development programs, and conducting research and assessment related to the learning and teaching of science and engineering for over 15 years. Christine is particularly interested in making science and engineering more accessible to marginalized populations. Christine received a joint Bachelors and Masters degree in Biology from Yale University and a Ph.D. in
. Gordon Kingsley is an Associate Professor in the School of Public Policy at the Georgia Institute of Technology. Gordon is the project evaluator for the STEP NSF grant, and PI on the Alternative Approaches to Evaluating STEM Education Partnerships NSF grant. His area of research interests are the interactions of public-private partnerships to harness developments in science and technology, and the nature and assessment of educational partnerships.Marion Usselman, Georgia Institute of Technology Dr. Marion C. Usselman is a Senior Research Scientist at the Center for Education Integrating Science, Mathematics and Computing (CEISMC) at the Georgia Institute of Technology. Marion received her Ph.D. in
ASU. She is also the Co-Editor of The Journal of Research in Science Teaching. Her teaching responsibilities include science curricula, teaching and learning, and assessment courses with an emphasis on constructivist theory and issues of equity. Her research focuses on issues of gender, science, and science teaching. She has won two awards for her research in these areas.Sharon Kurpius-Robinson, Arizona State University Sharon E. Robinson Kurpius is a professor of Counseling Psychology. She completed her doctorate in Counseling and in Educational Inquiry Methodology from Indiana University in 1978, at which time she accepted a faculty position at Arizona State University. She has received
11.990.2increase 10% to 20% in traditional (civil, mechanical, electrical, and aerospace); 21% to 35% inthe disciplines of biomedical and environmental engineering; and 36% or more in disciplinessuch as computer software engineering2,3. Despite this positive outlook, however, the number ofengineering degrees awarded during the same time period is expected to remain stable. Evenmore disturbing is the realization that the number of students who plan to major in engineeringupon college entrance has decreased.According to the ACT policy report Maintaining a Strong Engineering Workforce, among themore than 1.1 million seniors in the class of 2002 who took the ACT Assessment collegeentrance and placement exam, fewer than 6% planned to study engineering in
, educational research, corporate training management anduniversity assessment staff or administrative faculty. The engineering education faculty at VPIhave a diverse set of research interests including, “Assessment, cultural change in engineeringeducation, perceptions of rigor in engineering education research, development of engineeringeducation as legitimate field, design of effective engineering courses and curricula, impact ofactive learning and project based activities on student learning and retention, and the creation oflearning environments and design projects to support a diverse student population25.”Utah State University (R1 Research Extensive) has established a Department of Engineering andTechnology Education and offers a B.S. in
is the most important skill that anyone could learn [4]–[6]. During their educational period, engineering students encounter many problems that need tobe solved, either in the form of homework, exercises, reading course material, or design projects.Various educational investigations find that students who oversee their learning process byinterpreting requirements, planning and monitoring ongoing cognitive activities, and comparingoutcomes with internal and external standards, are more likely to be successful academically [7].In the engineering design perspective, higher awareness of the thinking processes leads to abetter quality design [8]. The ability to monitor and assess cognitive and metacognitive activitiesis also known as a self
“A1” (for “algebra first”) approach, arguably involvesmore thought and careful use of calculator buttons, but gives students confidence as they seetheir correct solution materializing through the implementation of a logical process.Assessment of student performance and opinionAn attempt to gauge the effectiveness of the A1 procedure included the assessment of studentperformance on three student exam or quiz problems. Student work for the first, a 15-minutequiz problem involving the use of the Bernoulli equation, and the second, an exam problemrequiring the use of the momentum integral equation, was separated into two categories: thosewho performed the algebra first to symbolically isolate the needed value in terms of givens, andthose who did
content emphasis of 4812 as being a part of a broadercapstone experience, while 3553 emphasis seems to be strictly in surveying calculations. CE-UY3553 is also offered to Civil Engineering students as a possible elective, and as part of the majorcurriculum for CM students. Even though CE students can take the course as an elective,researchers cannot assess if that is actually the case. Students in NYU may choose only oneelective course from a list of 25 pre-approved courses, of which 13 are in CM, 7 in CE, and 5 isin transportation engineering. • CE-UY 4812 (Civil Engineering Design I: Site Planning and Design): This is the first part of a two-semester capstone design project course for Civil Engineers. Each year a specific
Paper ID #20595Measuring the success of an educational program through box-and-arrowdiagram: A case study of the Quantitative Microbial Risk Assessment Inter-disciplinary Instructional InstituteDr. Umesh Adhikari, Michigan State University Dr. Adhikari is Postdoctoral Research Associate in the Department of Biosystems and Agricultural Engi- neering at Michigan State University.Dr. Jade Mitchell, Michigan Sate University, Dept. of Biosystems and Agricultural Engineering Dr. Jade Mitchell is an Assistant Professor in the Department of Biosystems and Agricultural Engineering at Michigan State University. She received her B.S
, theABET Board of Directors adopted the new set of standards, called Engineering Criteria 2000(EC2000). EC2000 shifted the basis for accreditation from input-what is taught, tooutput-what is learned. In 2002, ABET, Inc. commissioned the Center for the Study ofHigher Education at Pennsylvania State University to undertake a three-and-a-half-year studyto assess whether the implementation of the new EC2000 evaluation criteria is having theintended effects.1The weight of the accumulated evidence collected for Engineering Change indicates clearlythat the implementation of the EC2000 accreditation criteria has had a positive, andsometimes substantial, impact on engineering programs, student experiences, and studentlearning. However, the main findings of
place students into courses. TheAssessment and LEarning in Knowledge Spaces (ALEKS) is an assessment tool created byMcGraw-Hill with a mathematics placement module. Similarly, CollegeBoard’s ScholasticAptitude Tests (SAT) and ACT Inc.’s ACT Assessment college entrance exams are used as abasis for admissions into higher education. Since 2012, data has been collected for Engineeringand Technology programs to determine if these exams used for admissions and placementactually serve as a predictor for success. This study compares the ALEKS and ACT scorespredict success in a comparison to grades achieved in Engineering and Technology classes.Similar studies compared the high school grade point average (GPA) with the ACT as predictorsof college
varied, lessstructured, more relaxing environment to learn and progress (students’ feedback survey resultsindicated as much this positive effect). 4At the end of the semester, a survey was conducted of all participants to collect their feedbacks,in order to assess and examine the value of these newly configured FSGs. Some of the surveyquestions are highlighted as follows: Background info: Race, Gander, etc. How did you find out about FSG? Did you participate in FSG before? Which benefits did you gain from participating? How do you think attending has impacted your course grade? What is the grade you expected to receive in the course?Presentation of Participants
University and her Ph.D. in Food Process En- gineering from the Department of Agricultural and Biological Engineering at Purdue University. She is a member of Purdue’s Teaching Academy. Since 1999, she has been a faculty member within the First- Year Engineering Program, teaching and guiding the design of one of the required first-year engineering courses that engages students in open-ended problem solving and design. Her research focuses on the de- velopment, implementation, and assessment of modeling and design activities with authentic engineering contexts. c American Society for Engineering Education, 2017 Grader Consistency Using Standards-Based RubricsIntroductionDifferences
Paper ID #19408Helping Students to Provide Effective Peer FeedbackDr. Edward F. Gehringer, North Carolina State University Dr. Gehringer is an associate professor in the Departments of Computer Science, and Electrical & Computer Engineering. His research interests include computerized assessment systems, and the use of natural-language processing to improve the quality of reviewing. He teaches courses in the area of programming, computer architecture, object-oriented design, and ethics in computing. c American Society for Engineering Education, 2017 Helping Students to Provide Effective
teacher and an engaged, participative student. Alongthe way the student should learn how to explore gaining knowledge without the teacher in orderto instill life-long learning. The teacher usually also tries to instill a good work ethic as thestudent learns. For the mathematics and sciences courses this often involves assigning problemsets for the student to apply and practice the tools, techniques, and concepts presented in classand in the reading assignments. At regular intervals the student is tested on her or his ability toidentify and categorize problems, select the appropriate tools to solve the problem, and apply theappropriate problem solving steps to actually solve the problem. This testing exercise isdesigned for assessment and feedback