gaps in responses between students and faculty.Survey CommentsA complete listing of all comments from students, faculty and staff was reviewed and sharedwith the campus. In an attempt to summarize and prioritize the comments for action, fivecategories were agreed upon (in no particular order) and a champion was assigned for follow-up:(1) Internet access signal speed, login time and reliability needs to be improved(2) Existing technology on campus should be effectively utilized(3) Facility changes can improve learning(4) Instructional design changes can improve learning(5) Communication of current events needs to be improvedData CorrelationsThere is a great deal of information in this survey data and the CETL Advisory Board will utilizethe data
Paper ID #5847Electronic Flashcards as a Tool to Improve Exam ReadinessDr. Susan L. Murray, Missouri University of Science & Technology Susan L. Murray is a professor of engineering management and systems engineering at Missouri Univer- sity of Science and Technology. Dr. Murray received her B.S. and Ph.D. in industrial engineering from Texas A&M University. Her M.S. is also in industrial engineering from the University of Texas-Arlington. She is a professional engineer in Texas. Her research and teaching interests include human systems in- tegration, productivity improvement, human performance, safety, project
Paper ID #7894A proposal for using problem posing to connect learning of basic theory withengineering designDr. Richard L Marcellus, Northern Illinois University Richard Marcellus is an Associate Professor in the Industrial and Systems Engineering Department at Northern Illinois University. His current research interest is definition and performance evaluation of statistical process control policies. He has taught numerous courses in applied probability, including stochastic operations research, reliability engineering, queueing methods, dynamic programming, and quality control
Problem-Based Learning and Industrial EngineeringAbstractProblem-based learning (PBL), also called inductive learning, is a well-known approach forteaching engineering courses. We undertake a study of concepts that can be taught via PBL,along with an analysis of courses and topics in the industrial engineering (IE) curriculum suitablefor PBL. While in the traditional deductive style of teaching, one usually starts with explanationof principles followed by examples, PBL is primarily characterized by providing examples firstand then generalizing to the underlying principles. A great deal of literature cites evidence ofPBL being more effective than deductive learning. However, PBL also provides numerouschallenges to the instructor – especially to
student interaction, and supporttheir various learning styles. Benefits to the school are better utilization of space, increasedenrollment, better utilization of faculty, and promotes student retention. This engineeringtechnology department continues to improve the environment with more efficient use of learningmanagement technology and working with the school administration for adaptations in the areasof course registration, tuition costs, and information technology.The evolution of the converged classroomThis new environment was developed over a period of 3 years migrating from a traditional f2fclassroom into hybrid and online environments. The need to evolve culminated from changes inthe type of students enrolling in our classrooms. The
AC 2007-282: TEACHING EFFECTIVENESS IMPROVEMENT THROUGHGEOBRAIN TECHNOLOGIES IN DISTANCE EDUCATIONGuoqing Zhou, Old Dominion University Page 12.1353.1© American Society for Engineering Education, 2007 Improvement of GIS Distance Teaching Using GeoBrain TechnologiesAbstractGIS course for undergraduate in Old Dominion University (ODU) is delivered via ODUTeleTechNet (TTN) system. The distant students cannot access the large volume of remotelysensed data like campus students when they conduct their homework and lab class. TheGeoBrain system is capable of making remote students easily access the large volume of data indata pools through their internet-connected desktop
CAE tools and course assessment are presented for threesample courses, namely, Numerical Analysis, Dynamic Systems and Control and Machine Design taughtat three different universities. Use of math and/or CAE tools in the class provided them ‘what if’scenarios to study the effect of different design requirements and variables on the problem or on thesubsystem considered in each course. Students seem to like the group projects and found open endedproblems challenging. Such studies can be extended to other engineering courses for their assessment andfor continuous improvement of both the course material and performance by the students taking suchclasses.AcknowledgementThe authors wish to acknowledge the support of the students for providing the
content, though, is mostlyrelatively traditional (Boroughs, 20094) and not specifically tailored as supplemental materialintended to enhance student comprehension. The authors made an extensive search of theinternet, and from our observations, it remains true that the majority of the video contentavailable for student consumption in all venues, not just OpenCourseWare, is simply recordingsof the traditional lecture-style presentation posted to the web.In 2007, the authors set out to determine whether short, highly-focused, instructor-made videoscould be used to improve student comprehension and performance in a basic course in Staticsand Strength of Materials (Statics-Strengths). An in-depth study of the effectiveness of this
measure the effectiveness of the programs.Strengths and weaknesses of the program can be identified by evaluating the assessment data.Based on the evaluation of assessment data, faculty should discuss strategies to addressweaknesses in the academic program. As a result, new performance targets are created toimprove the program continuously. At most universities, faculty receive guidance fordocumentation collection and evaluation of assessment data. Usually, a course portfolio iscreated for every course in ABET-accredited programs. The portfolio contains syllabi,assessments, and samples of student work.UDC’s process for assessment, evaluation, and continuous improvement includes collecting andpreparing the assessment data for evaluation. We
courses at WVU. He has several publications in journals, conferences, and book chapters. He is an active member of American Society for Engineering Education (ASEE), American Society of Mechanical Engineers (ASME), Society of Manufacturing Engineers (SME), Society of Auto- motive Engineering (SAE) International, Institute of Industrial and Systems Engineers (IISE), Industrial Engineering and Operations Management (IEOM), and WVU IE Leaders.Thomas Guy Azinger, West Virginia University ©American Society for Engineering Education, 20242024 ASEE North Central Section Conference Strategies for Improving the Quality and Effectiveness of Education Courses Omar Al-Shebeeb
Paper ID #17083Improving Engineering Learning Outcomes Assessment through PerformanceIndicatorsDr. Doanh Van, Union University Doanh Van, PhD., PE, CEM is founding Chair of Union University Engineering Department. Currently, he is serving as professor of Engineering. Among the courses he teaches are thermal-fluids, energy conver- sion and solid modeling. He worked for Commonwealth Edision, GPUNuclear, Honeywell International, Warner Lambert, and Pfizer prior to joining Union University. c American Society for Engineering Education, 2016 Improving Engineering Student Outcomes
development of evidence-based interventions to promote retention and student success in engineering. Her fields of technical expertise include process modeling, simulation, and process control.Dr. Keith Brandon Lyle, University of Louisville Page 26.321.1 c American Society for Engineering Education, 2015 Can the Spacing Effect Improve the Effectiveness of a Math Intervention Course for Engineering Students? It is critical for students in science, technology, engineering, and math (STEM) majors toretain and transfer mathematical knowledge from one course to
effect in all seven outcomes areas.All outcomes seem to be hovering at the same levels as the base study period. While this may notseem like much, it does present evidence that hybrid courses can be comparable to face-to-facecourses. It should also be considered that during the continuous improvement period 32% of alloutcomes were rated very high with a combined total for “Very High” and “High” of 81%.Quiz averages during the continuous improvement period were at generally the same or betterthan the base study quarter (Fall 2002).Part 5: Analysis of Course Tools Usage SurveyA mid-course survey was given to find out which learning tools students were using and solicitfeedback regarding the tools.Survey questions 1-20 referred to the usefulness of
time effectively. 6 The work I did in this course contributed to my learning. 7 The course contributed to my intellectual growth. (A) (B)Figure 9: Comparison of 2016 and 2017 course evaluation in general show improvement underthe new course structure (A). The greatest percentage increases were observed in assessments 3and 4 (B).DiscussionTeaching a highly information-driven course presents challenges to student engagement,especially when this course is taught to seniors during their final semester. Prior experienceteaching this manufacturing course motivated the redesign of the structure presented in
report and made oral presentation as a part of their projectdeliverables.The course has been offered continuously since then for the past seven years with a recordnumber of students enrolled in this course in the Spring 2012 term. The success of the course islargely attributed to the continuous improvement efforts undertaken by the faculty involvedbased on the lessons learnt and an analysis of student feedback surveys. This paper outlines thehurdles, bottlenecks encountered in the initial phases of course development and the solutionsfound and implemented later on to address the issues that cropped up.2. Assessment of the Effectiveness of Interdisciplinary Course DeliveryThe interdisciplinary course delivery was delivered for the first time in
, Average, B elow Average, Poor) Rate the quality of the Introduction to Engineering Design course on improving your overall learning experience. 60 Number of responses 40 20 0 1 2 3 4 5 (Excellent, Above Average, Average, Below Average, Poor)No one specific method of support proves to be a major contributing factor to improvingretention, but the combined effect is having a positive impact.The effect on retention within the School of Engineering can be best depicted with the followinggraph that shows percentages of
Paper ID #40981Improving Undergraduate Success Through Effective Critical ThinkingNathan Felipe Duran-Ledezma, Tennessee Technological University Nathan F. Duran-Ledezma earned his B.S. degree from the Mathematics and Education Department at Pontificia Universidad Catolica de Valparaiso, Chile, in 2017, and later obtained his M.S. degree in Ap- plied Mathematics from California Baptist University, California, in 2021. At present, he is affiliated with the Center of Energy Systems Research at Tennessee Technological Uni- versity, Tennessee. His research interests revolve around carbon dioxide electroreduction in two-phase
three equivalent options2 . The average gain (that is,(post-test score)−(pre-test score)) is between 1.9-2.9 for all subgroups, and we found nosignificant effects based on section.Midsemester surveysAfter the first midterm (and all of its retakes) the students in both sections were given ananonymous midsemester survey. We used that to learn about students’ efforts and experience inthe course. Students in the experimental section reported completing 70% of the homework eachweek, on average. They self-reported spending an average of 2.6 hours (standard deviation 1.9hours) versus 4.3±1.8 hours in the control section. Students were also asked how many hoursthey spend on the course outside of class time besides time spent on homework. In
Effective Use of Experimentation and Finite Element Analysis in a Vibrations Course John R. Baker Department of Mechanical Engineering University of KentuckyAbstractIt is a challenge for many students to firmly grasp the relationships between calculatedresults from textbook equations for multi degree of freedom structural vibration andactual behavior of a structure. While students can easily perform the calculations, theyoften do not fully understand how the theoretical results relate to behavior of an actualsystem. Experimentation is often included in courses to help bridge the gap betweentheory and actual
incorporated into a hydraulicscourse to improve student learning and evaluated for their effectiveness. This paper describes thepractices, how they were employed within an engineering course, and evaluates their successusing data as available and student feedback. Of the three practices, students indicated retrievalpractice as the most effective as 89% of respondents used classroom retrieval practices to adjusttheir study and preparation for tests and 67% thought retrieval practice would help themremember concepts past this course. Quantitative support of student learning (in the form of testgrades) was not significant. Spaced practice outperformed student expectations and wasperceived as helpful for chapter test preparation while interleaving was
computer interactive games. The mainobjective for designing the new hybrid course is to reduce failure rate which is as high as 44%among approximately 800 students who enroll in this course annually in the college ofengineering at Cal Poly, Pomona. In order to measure the effectiveness of the newly developedcourse an assessment tool is needed. The commonly employed tools such as homework, quizzes,and exams that we use in a typical Vector Statics course serve as good indicators of students’understanding about the subject matter we teach and students are tested on; however, these toolsmay not reflect student’s knowledge accurately. For instance, Vector Statics may be aprerequisites course for advanced required courses in engineering, and students
havegreater generality. Mathematical generalization is an effective, compact way of organizing largeamount of information. But intrinsic to any generalization is the increase in abstraction. Engineer-ing students have a predisposition towards applied work and an increased emphasis on abstractionmight have detrimental effect on motivation to learn the concepts.Educators have long known and neuroscientists confirm the idea that repeatedly experiencingnew ideas leads to deeper encoding of those ideas and improves the likelihood of successfullyretrieving and using the learned material across domains1. By repetitive use of the general princi-ples to specific cases the students can be repetitively shown the underlying structure and patterns
most students are exposed to the importance of nanotechnology and have heard orwatched news articles about improvements generated by nanotechnology, but they are "not clearon the matter". As far as their preparation and understanding of nanotechnology is concerned, itis not encouraging at any level. Obviously, one does not expect students be prepared formechanics and nanomechanics before entering engineering courses. However, there are someintroductory courses in physics and chemistry focusing on the atomic and molecular structures ofmatters. It seems that students treat these courses as science- and knowledge-based "non-engineering major courses" that obviously will not focus on nanomechanics or its applications ina meaningful way. Also, it
Page 23.722.1 c American Society for Engineering Education, 2013 Improving the writing of engineering students through portfoliosMark Milke, Creon Upton, Glen Koorey, Aisling O’Sullivan, and Keith Comer 1Department of Civil and Natural Resources Engineering, University of Canterbury, PrivateBag 4800, Christchurch 8140, New Zealand. Email contact: mark.milke@canterbury.ac.nz.AbstractThe Department of Civil and Natural Resources Engineering, University of Canterbury, NewZealand, has trialled the development and assessment of student writing, sketching, and oralpresentation skills through a compulsory portfolio approach. Rather than rely on a dedicatedcommunications course, students are required to
AC 2007-857: IMPROVING LEADERSHIP AND COMMUNICATION SKILLSUSING DEPARTMENT-CONSISTENT LABORATORY TEAM EXPERIENCESteven Burian, University of UtahPedro Romero, University of UtahSteven Bartlett, University of Utah Page 12.856.1© American Society for Engineering Education, 2007 Improving Leadership and Communication Skills Using Department-Consistent Laboratory Team ExperienceAbstractThe Department of Civil and Environmental Engineering at the University of Utah hasimplemented a coordinated team approach into the laboratory components of the requiredundergraduate Soil Mechanics, Hydraulics, and Materials courses to deliver team buildingexperiences
persistence in student-centered courses. American c Society for Engineering Education, 2021 Work-in-Progress: Effectiveness of different reflection approaches for improving mastery in an engineering laboratory courseIntroductionProviding students with detailed, descriptive feedback and having them reflect on what they havelearned can foster self-directed learning [1], a critical ability for future engineers who need to beable to translate their skills and knowledge to novel situations [2]. Standards-based grading(SBG) has been slowly emerging in the engineering education field as a way to provide studentswith feedback on how well they are meeting course standards [3
Education at Purdue University. After years of experience of serving a peer teacher and agraduate teaching assistant in first year engineering courses, he is now interested in study of the existence,cause and interventions on international engineers’ teaming behaviors. c American Society for Engineering Education, 2019 Using CATME to Document and Improve the Effectiveness of Teamwork in Capstone CoursesAbstractThis paper examines the use of peer evaluations and associated personal and team questionsto diagnosis team functionality and provide early diagnosis of team dysfunctionalities.For a large STEM Capstone program in a major Midwestern university we collected peerevaluation data three
completed his PhD at the University of Rochester, and now focuses his efforts to further the areas of computer architecture, digital systems, cybersecurity, and computer engineering education. 2018 FYEE Conference: Glassboro, New Jersey Jul 25 Session W1A Work In Progress: Synthesizing design challenges to improve student effectiveness in first year engineering design courses James R. McCusker, Aaron Carpenter Wentworth Institute of Technology, mccuskerj@wit.edu, carpentera1@wit.eduAbstract
AC 2009-116: THE EFFECT OF IMPROVEMENTS IN SOPHOMORE DESIGNINSTRUCTION ON PERFORMANCE IN SUBSEQUENT COURSE OFFERINGSKevin Dahm, Rowan University Kevin Dahm joined the Rowan University Chemical Engineering Department in 1999 after earning his B.S. at WPI (92) and his PhD at MIT (98). He has published papers in the areas of assessment of student learning, process simulation in the curriculum, and the teaching of design and engineering economics. He has received the 2003 Martin Award, the 2004 Fahien Award and the 2005 Corcoran Award from the Chemical Engineering Division of ASEE.William Riddell, Rowan University
2017 ASEE Gulf-Southwest Section Annual Conference Vertical Integration of Engineering Courses for Effective Learning of Continuous Quality Improvement Concepts Jun-Ing Ker and MD Eshan Khan Industrial Engineering, Louisiana Tech University/ Systems Science and Industrial Engineering, Binghamton UniversityAbstractIndustrial engineering juniors at Louisiana Tech University who enroll in INEN 401 EngineeringStatistics II learn how to apply statistical quality control methods to monitor product quality in atraditional classroom setting while engineering freshmen enrolled in ENGR 120 EngineeringProgram