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Recognition of Projects for Service Organizations Based on Customer Expected and Perceived Quality, and Customer Experience

Conference Session: Industrial Engineering Division Technical Session 3
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Max de Jesús Suárez Montiel, Tecnológico de Monterrey, Mexico; Alberto Abelardo Hernandez-Luna, Tecnológico de Monterrey
Tagged Topics: Diversity
Tagged Divisions: Industrial Engineering

appropriate to serviceprocess.One of the key aims of six sigma is the recognition of relevant problems aligned with acompany strategy and that are relevant to achieve its mission. The general problems relatedwith internal issues like defects and waste to achieve product quality and time delivery.On the other hand, the relevant objectives of service sectors are customer satisfaction andloyalty. Due to the different goals on manufacturing and service sectors, procedures torecognize problems in service industries toned to be developed.This piece of work proposes a toolkit to support the recognition of projects from a differentperspective. It proposes the use of different service quality models aimed to serviceorganizations to integrate customer

Relevance Score: 0.02359116

Introducing Engineering Systems to First- and Second-year Students through Project-based Learning

Conference Session: Systems Engineering Curriculum and Programs
Collection: 2012 ASEE Annual Conference & Exposition
Authors: Regina Ruby Clewlow, Massachusetts Institute of Technology; Afreen Siddiqi, Massachusetts Institute of Technology; Joseph M. Sussman, Massachusetts Institute of Technology
Tagged Divisions: Engineering Management, Industrial Engineering, Systems Engineering

tPA Time to Death tPA Recovery Percentage tPA Survival PercentageFigure 3-a. Systems Dynamics model for Stoke Care Pathway.Figure 3-b. Population density in NC with overlaid stroke care center locations and 1-hour driving distanceradii

Relevance Score: 0.023499168

Use Of Quality Tools And Outcome Assessment Model For Continuous Improvement In Industrial Engineering Education

Conference Session: Evaluation and Assessment of IE Programs
Collection: 2006 Annual Conference & Exposition
Authors: R. Radharamanan, Mercer University
Tagged Divisions: Industrial Engineering

Education: Analysis of Alternative Implementations of a NewFirst-Year Curriculum at Texas A & M University,” Journal of Engineering Education, Vol. 89, No. 3, pp. 315-322.5. Huband, F. L. (1998), “How do you Measure Success? Designing Effective Process for Assessing Engineering Education,” ASEE Publications, Washington D. C.6. Juran, J. M. & Godfrey, A. B. (1999), “Juran’s Quality Handbook,” McGraw-Hill, New York, Fifth Edition.7. Kemenade, E. V. & Garre, P. (2000), “Teach What You Preach: Higher Education and Business: Partners en Route to Quality,” Quality Progress, Vol. 33, No. 9, pp. 33-39.8. Lamprecht, J. L. (1992), “ISO 9000: Preparing for Registration,” ASQC Quality Press, Milwaukee.9. Lohmann

Relevance Score: 0.023436911

Perceptions and Misconceptions of Industrial Engineering from First-year Engineering Students

Conference Session: Industrial Engineering Division Technical Session 1
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Eric Specking, University of Arkansas; Patricia E Kirkwood, University of Arkansas; Lihua Yang, University of Arkansas
Tagged Divisions: Industrial Engineering

Engineering Education Conference, EDUCON 2011, 511-517. doi:10.1109/EDUCON.2011.57731844. Archer, L., DeWitt, J., Osborne, J., Dillon, J., Willis, B., & Wong, B. (2012). Balancing acts: Elementary school girls' negotiations of femininity, achievement, and science. Science Education, 96(6), 967-989. doi:dx.doi.org/10.1002/sce.210315. Chan, V., Stafford, K., Klawe, M., & Chen, G. (2000). Gender differences in Vancouver secondary students-interests related to information technology careers. Paper presented at the Proceedings of 7th International IFIP Conference on Women, Work and Computerization, 58-69.6. Conklin, K. A., & Johnson County Community Coll, Overland Park, KS Office of Institutional Research. (2000

Relevance Score: 0.023385752

The Effect of Active Collaborative Learning on Instructor Evaluations: An Observational Study

Conference Session: Industrial Engineering Division Technical Session 1
Collection: 2014 ASEE Annual Conference & Exposition
Authors: Terri M. Lynch-Caris, Kettering University
Tagged Divisions: Industrial Engineering

-0.2assignmentsDifficulty of subject matter 3.1 3.2 +0.1Student Description:I worked harder on this course than on 3.6 4.1 +0.5most courses I have takenI really wanted to take this course 3.9 3.5 -0.4regardless of who taught itAs a rule, I put forth more effort than 3.6 4.1 +0.5other students on academic work Table 1. IDEA Evaluation Results – Summarized Page 24.1201.11ReferencesBloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R., Taxonomy ofeducational objectives: the classification of educational goals; Handbook I: Cognitive

Relevance Score: 0.023360362

Training Industrial Engineering Students as Energy Engineers

Conference Session: Innovative IE Curricula
Collection: 2013 ASEE Annual Conference & Exposition
Authors: Masud Salimian, Morgan State University; Yaseen Mahmud, Morgan State University; Avis L. Ransom, Morgan State University School of Engineering
Tagged Divisions: Engineering Economy, Engineering Management, Industrial Engineering

allow students to become familiar with the terminology and concepts. It also includes developing lab modules for appropriate courses. An example of such an effort was conducted in the fall semester of 2012 in IEGR363: Manufacturing Processes, an IE core course. The course was conducted as a theme-based class having the theme, ‘efficient energy use in manufacturing’. The course also had a hands-on laboratory that included modules in energy auditing.Level 2: Development of interdisciplinary courses This would allow the skills needed for energy engineers to be gained. These courses are: a) Power and Energy use and auditing offered by electrical engineering department. b) Smart Building Technologies

Relevance Score: 0.022954725

Using Case Studies to Enhance the Critical Thinking Skills of IE Students

Conference Session: Industrial Engineering Division Technical Session 3
Collection: 2016 ASEE Annual Conference & Exposition
Authors: Alexandra Chronopoulou, University of Illinois, Urbana-Champaign; Kelly J. Cross, University of Illinois, Urbana-Champaign; Douglas M. King, University of Illinois, Urbana-Champaign; Ehsan Salimi, University of Southern California
Tagged Topics: Diversity
Tagged Divisions: Industrial Engineering

National Assessment of Higher Order Thinking. Retrieved from http://www.criticalthinking.org/pages/a-model-for-the-national-assessment-of-higher-order- thinking/591 12. Peach, B. E., Mukherjee, A., & Hornyak, M. (2007). Assessing critical thinking: A college's journey and lessons learned. Journal of Education for Business, 82(6), 313-320. 13. Prince, M. J., & Felder, R. M. (2006). Inductive teaching and learning methods: Definitions, comparisons, and research bases. Journal of Engineering Education-Washington-, 95(2). 14. Ralston, P., & Bays, C. (2010). Refining a critical thinking rubric for engineering. 2010 Annual Conference & Exposition, Louisville, Kentucky. https

Relevance Score: 0.022856476

System Engineering Competency: The Missing Course in Engineering Education

Conference Session: Systems Engineering Education and K-12
Collection: 2012 ASEE Annual Conference & Exposition
Authors: Charles S. Wasson, Wasson Strategics, LLC
Tagged Divisions: Engineering Management, Industrial Engineering, Systems Engineering

Planned Performance Option A Key Milestones Delivery Key Milestones Delivery Solution Decision Convergenc System Engineering e Approach Option B 3 Your Choice Delivery Figure 1: Contrasting SE-Based System Development versus the Plug & Chug …Design-Build- Test-Fix Paradigms.The program reverts to their traditional

Relevance Score: 0.022540169

Fundamental Theorem Learning With Optimum Pedagogy for Technology Integration in Quality Control Course

Conference Session: Industrial Engineering Division Technical Session 2
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: McKenzie Landrum, University of Florida; Austin Hayes, University of Florida; Josefina Giamichelle; Sima Sabahi, University of Florida; Sanaz Motamedi, University of Florida
Tagged Divisions: Industrial Engineering

average of correct answers thateach student had in each of the methods. A. Instructor Guided Method: The assessment for the Instructor Guided Method was completed by 22 students. On average, students got 2.4 out of the 5 questions correct. Figure 6 shows the percentage of students that had a certain number of correct answers in this assessment overall. For example, 13.6% of students did not get any questions correct and 4.5% got all the questions for this module correct. Per question type, 56.8% of the students got the correct answers for the theoretical questions and 42.4% of students got the correct answers for the RStudio questions. B. Think-Pair-Share Method: The assessment for the Think-Pair-Share Method

Relevance Score: 0.02207147

Using Quizzes Effectively: Understanding the Effects of Quiz Timing on Student Motivation and Knowledge Retention

Conference Session: Industrial Engineering Division Technical Session 2
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: John Case, United States Military Academy; Dereck Kennedy, United States Military Academy
Tagged Divisions: Industrial Engineering

Paper ID #32340Using Quizzes Effectively: Understanding the Effects of Quiz Timing onStudent Motivation and Knowledge RetentionMajor John Case, United States Military Academy JOHN CASE is a U.S. Army Officer in his 12th year of active duty service and is an Assistant Professor in the Department of Systems Engineering at the United States Military Academy. He holds master’s degrees in Operations Research from Virginia Tech and Engineering Management from the Missouri University of Science and Technology. He is in the Operations Research functional area of the Army and has research interests in operations research, data

Relevance Score: 0.022058045

User-Based Collaborative Filtering Recommender Systems Approach in Industrial Engineering Curriculum Design and Review Process

Conference Session: Industrial Engineering Division Technical Session 3
Collection: 2016 ASEE Annual Conference & Exposition
Authors: Ebisa Wollega, Colorado State University - Pueblo; Vitor Ambrosio Winckler, Colorado State University - Pueblo
Tagged Divisions: Industrial Engineering

, 180.[10]. Van Meteren, R., & Van Someren, M. (2000, May). Using content-based filtering for recommendation. InProceedings of the Machine Learning in the New Information Age: MLnet/ECML2000 Workshop (pp. 47-56).[11]. Xiao, B., & Benbasat, I. (2007). E-commerce product recommendation agents: Use, characteristics, andimpact. Mis Quarterly, 31(1), 137-209.[12]. Zhao, Z. D., & Shang, M. S. (2010, January). User-based collaborative-filtering recommendation algorithmson hadoop. In Knowledge Discovery and Data Mining, 2010. WKDD'10. Third International Conference on (pp.478-481). IEEE.[13]. Zuva, T., Ojo, S. O., Ngwira, S., & Zuva, K. (2012). A survey of recommender systems techniques, challengesand evaluation metrics. International

Relevance Score: 0.021806601

New Curriculum In Industrial Engineering

Conference Session: Current Topics in IE Education
Collection: 2006 Annual Conference & Exposition
Authors: Richard Koubek, Pennsylvania State University; M. Jeya Chandra, Pennsylvania State University
Tagged Divisions: Industrial Engineering

courses into areas of competency. Page 11.954.2• Reorganize elective courses (IE and non-IE) into domain areas.• Introduce elective course(s) in other application areas (e.g., service processes, financial engineering, health care management, etc.)• Introduce a focused design project in various application domains.Description of changesChanges in the non-major courses from other departments in the College of EngineeringThe old curriculum required that the students take the following non-major courses in thecollege. a) Introduction to Engineering Design (ED &G 100) 3 Credits b) Computer Programming for

Relevance Score: 0.021460531

Transformational Leadership 101: What All Industrial Engineering Graduates Should Know about the Six Stages of Quality Management System Implementation

Conference Session: IE Technical Session II
Collection: 2011 ASEE Annual Conference & Exposition
Authors: Phillip R. Rosenkrantz, California State Polytechnic University, Pomona
Tagged Divisions: Industrial Engineering

, by the, Chrysler Corporation, Ford Motor Company, and General Motors Corporation. 3. Deming, W. E. (1986). Out of the crisis. Cambridge, MA: Massachusetts Institute of Technology, Center for Advanced Engineering Study. 4. Ernst & Young. (1992). International quality study: An analysis of management practices that impact performance . Cleveland, OH: American Quality Foundation. 5. Goleman, D., Boyatzis, R., & McKee, A. (2002). Primal leadership: Realizing the power of emotional intelligence. Boston, MA: Harvard Business School Press. 6. Hayes, B. J. (1996). Training in Quality. In R. L. Craig (Ed.), The ASTD training & development handbook (4th ed.). New York: McGraw Hill

Relevance Score: 0.020065954

Understanding E-Learning Acceptance of Gen Z Students: An Extension of the Technology Acceptance Model (TAM)

Conference Session: Industrial Engineering Division Technical Session 2
Collection: 2021 ASEE Virtual Annual Conference Content Access
Authors: Sanaz Motamedi, University of Florida; Kierra Marquis; Hannah Levine
Tagged Divisions: Industrial Engineering

, “Examining the Effect ofSubjective Norms and Compatibility as External Variables on TAM: Mobile BankingAcceptance in Yemen,” Science International, vol. 29, no. 4, pp. 769–776, 2017. [Online].Available: https://www.researchgate.net/.[29] X. Li, M. D. Troutt, A. Brandyberry, and T. Wang, "Decision Factors for the Adoption andContinued Use of Online Direct Sales Channels among SMEs," Journal of the Association forInformation Systems: vol. 12, no. 1, article 4, 2011. [Online]. Available:https://aisel.aisnet.org/jais/vol12/iss1/4/.[30] A. B. Ozturk, A. Bilgihan, K. Nusair, and F. Okumus, “What keeps the mobile hotelbooking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use,and perceived convenience

Relevance Score: 0.019885423

Quo Vadis, Engineering Economics

Conference Session: Instructional Design
Collection: 2012 ASEE Annual Conference & Exposition
Authors: John H. Ristroph, University of Louisiana, Lafayette
Tagged Divisions: Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

AC 2012-5553: QUO VADIS, ENGINEERING ECONOMICSDr. John H. Ristroph, University of Louisiana, Lafayette John Ristroph is an Emeritus Professor at the University of Louisiana, Lafayette. This summer will mark his 42nd year of teaching engineering economics. He maintains his passion for the subject and is actively developing a novel computer-aided instructional system to enhance the self-learning that should be part of an engineering student’s homework experience. Page 25.1094.1 c American Society for Engineering Education, 2012 Quo Vadis, Engineering Economics

Relevance Score: 0.013990439

Industrial Engineering Application In Space Mission

Conference Session: New Topics in IE Education
Collection: 2006 Annual Conference & Exposition
Authors: Ricky Whittington, Morgan State University; Douglas McLennan, Goddard Space Flight Center; Guangming Chen, Morgan State University
Tagged Divisions: Industrial Engineering

project at Goddard Space Flight Center, under the NASA Administrator?s Fellowship Program and his NASA Faculty Award for Research (FAR) grant. He also worked at NASA Goddard Space Flight Center under NASA/ASEE Summer Faculty Fellowship in 1999 and 2000. He also worked as Guest Scientist at Brookhaven National Lab, Long Island, NY in 1994 Summer and he was a Reliability Engineer at A-Line Plastics, Inc., Plymouth, Michigan before he came to Morgan. He received his Ph.D. from Wayne State University, Detroit, Michigan in 1990 and a B.S. in 1982 and a M.S. in 1984 from Shanghai Jiao Tong University.Ricky Whittington, Morgan State University Mr. Whittington is a graduate student in Industrial

Relevance Score: 0.01390381

Work in Progress: Engineering Economy Taught Across Engineering Disciplines

Conference Session: Engineering Economy Division Technical Session 1
Collection: 2020 ASEE Virtual Annual Conference Content Access
Authors: Brian Aufderheide, Hampton University; Otsebele E. Nare, Hampton University
Tagged Topics: Diversity
Tagged Divisions: Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

Paper ID #31339Engineering Economy Taught Across Engineering Disciplines: Work inProgressDr. Brian Aufderheide , Hampton University Dr. Brian Aufderheide is Chairperson in Chemical Engineering at Hampton University. He completed his PhD in Chemical Engineering at Rensselaer Polytechnic Institute. His areas of expertise are in advanced control, design, and modeling of biomedical, chemical, and biological processes. He has consulted for both medical device and biotechnology companies. He was sole engineer and QC supervisor of a 40MM lb/yr custom extrusion company. He has over 15 years of experience in education developing over

Relevance Score: 0.01376407

Diverse Teams Build Better Forecasts

Conference Session: IED Technical Session: Preparing Students for the Future
Collection: 2018 ASEE Annual Conference & Exposition
Authors: Joseph Wilck, College of William and Mary; Paul C. Lynch, Penn State Erie
Tagged Topics: Diversity
Tagged Divisions: Industrial Engineering

Paper ID #22873Diverse Teams Build Better ForecastsDr. Joseph Wilck, College of William and Mary Dr. Joe Wilck is a Clinical Associate Professor in Business Analytics and Operations Management at the College of William & Mary. He is a registered Professional Engineer. He is a volunteer leader with the Institute of Industrial and Systems Engineers (IISE) and the American Society for Engineering Education (ASEE). He is also an active member of INFORMS, MORS, INCOSE, ASEM, and TRB. His research is in the areas of applied optimization and STEM education, and he has been funded by the National Science Foundation, the

Relevance Score: 0.013480245

Using The Nintendo Wii ® To Teach Human Factors Principles

Conference Session: Issues and Opportunities in IE Education
Collection: 2009 Annual Conference & Exposition
Authors: Lesley Strawderman, Mississippi State University
Tagged Divisions: Industrial Engineering

how to use of the Nintendo Wii® game console to teach students a varietyof human factors principles. First, the concept of Signal Detection Theory (SDT) is explainedusing a personalized searching game on the Wii®. Next, an activity involving human sensorysystems is discussed. Finally, a learning module that addresses control design and feedback,focusing on the game’s controller (Wii Remote or Wiimote) is presented. Potential topic areasfor future activities, including human computer interaction, are also discussed. The teachingactivities described in this paper have been successfully used by the author in past semesters. Asampling of student feedback is provided in the paper. Finally, a discussion of how the activitiescould be extended to non

Relevance Score: 0.013327003

This Videogame is Just Like My Plant!

Conference Session: Technology and Equipment to Improve IE Instruction
Collection: 2012 ASEE Annual Conference & Exposition
Authors: Leonardo Rivera, Universidad Icesi; Andrés López, Universidad Icesi; Andrés Calderón, Universidad Icesi
Tagged Divisions: Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

AC 2012-3318: THIS VIDEOGAME IS JUST LIKE MY PLANT!Mr. Leonardo Rivera, Universidad Icesi Leonardo Rivera has a Ph.D. in industrial and systems engineering from Virginia Tech. He is Head of the Department of Industrial Engineering, Universidad Icesi, Cali, Colombia.Mr. Andrs Lpez, Universidad Icesi Andrs Lpez has a M.Sc. in society of information from Universitat Oberta de Catalunya, a M.B.A. from Universidad Icesi, and a B.Sc. in business administration from Universidad Icesi. He is Director of the specialist degree in environmental management at Universidad Icesi.Mr. Andrs Caldern, Universidad Icesi Andrs Caldern is a specialist in the teaching of history at the Universidad del Valle. He is also a Historian at

Relevance Score: 0.013272496

How Much Work Are You Really Doing

Conference Session: Current Topics in IE Education
Collection: 2006 Annual Conference & Exposition
Authors: Joseph Flynn, The College of New Jersey
Tagged Divisions: Industrial Engineering

2006-1302: HOW MUCH WORK ARE YOU REALLY DOINGJoseph Flynn, The College of New Jersey Page 11.696.1© American Society for Engineering Education, 2006 How Much Work Are You Really Doing?IntroductionThe published teaching schedule is often an embarrassment to both faculty and administrationbecause it suggests that a full time faculty member is working eight or perhaps twelve hours eachweek and seven months a year. We try to sell the idea that the remaining time is spent on“preparation”, but no one seems to be buying. This paper offers a method of determiningworkload based on evaluation of process time for all the activities associated with teaching.Analysis is based on

Relevance Score: 0.013271359

Evaluation of Perceptual Changes in an Engineering Sales Program

Conference Session: Innovative IE Curricula
Collection: 2013 ASEE Annual Conference & Exposition
Authors: David Paul Sly, Iowa State University; Daniel P Bumblauskas, University of Missouri Harvard University; Adam R Carberry, Arizona State University
Tagged Divisions: Engineering Economy, Engineering Management, Industrial Engineering

Paper ID #7050Evaluation of Perceptual Changes in an Engineering Sales ProgramDr. David Paul Sly, Iowa State University Dr. Dave Sly is a Professor of Practice within the Industrial and Manufacturing Systems Engineering department. He is a registered Professional Engineer with B.A., M.S. and Ph.D. degrees in Industrial En- gineering, as well as an M.B.A. in Marketing from Iowa State University. In addition to teaching, Dr. Sly is president of Proplanner, an Industrial Engineering software company located in the ISU Research Park. For the past five years, Dr. Sly has worked extensively with business and academia on the

Relevance Score: 0.0130429305

Introducing Flexibility in an Engineering Curriculum Through Student Designed Elective Programs

Conference Session: Industrial Engineering Division Technical Session 1
Collection: 2014 ASEE Annual Conference & Exposition
Authors: William J. Schell IV P.E., Montana State University; David Claudio, Montana State University; Durward K. Sobek II, Montana State University; Laura Stanley, Montana State University - Bozeman; Nicholas Ward, Montana State University
Tagged Divisions: Industrial Engineering

Paper ID #8784Introducing Flexibility in an Engineering Curriculum Through Student De-signed Elective ProgramsDr. William J. Schell IV P.E., Montana State University Dr. William J. Schell holds a Ph.D. in Industrial and Systems Engineering – Engineering Management from the University of Alabama in Huntsville and M.S. and B.S. degrees in Industrial and Management Engineering from Montana State University. He is an Assistant Professor of Industrial and Management Engineering at Montana State where his primary research interests are engineering education and the role of leadership and culture in process improvement with

Relevance Score: 0.012818679

From College to K-12: Adapting Industrial Engineering Classroom Exercises for Outreach Purposes

Conference Session: Industrial Engineering Division Technical Session 2
Collection: 2015 ASEE Annual Conference & Exposition
Authors: Dia St. John, University of Arkansas; Eric Specking, University of Arkansas
Tagged Divisions: Industrial Engineering

Paper ID #12229From College to K-12: Adapting Industrial Engineering Classroom Exercisesfor Outreach PurposesDia St. John, University of Arkansas Dia St. John is a Ph.D. Candidate in the Department of Industrial Engineering at the University of Arkansas where she also earned her B.S.I.E. and M.S.I.E. She is a member of IIE and serves as presi- dent for the Arkansas Student Chapter of INFORMS. This is her first submission to ASEE.Mr. Eric Specking, University of Arkansas Eric Specking serves as the Director of Undergraduate Recruitment for the College of Engineering at the University of Arkansas. He directs the engineering

Relevance Score: 0.0124662705

Board 102 : Truck-Drone Two-tier Delivery Network Design

Conference Session: Industrial Engineering Division Poster Session
Collection: 2018 ASEE Annual Conference & Exposition
Authors: Ergin Erdem, Robert Morris University; Christopher Johnson, Robert Morris University; Sangho Shim, Robert Morris University; Jordan Williams
Tagged Divisions: Industrial Engineering

Paper ID #22477Truck-Drone Two-tier Delivery Network DesignDr. Ergin Erdem, Robert Morris University Ergin Erdem is an assistant professor of Department of Engineering at Robert Morris University. Dr. Er- dem holds BS and MS degrees in industrial engineering from Middle East Technical University, Turkey and a PhD in Industrial and Manufacturing Engineering from North Dakota State University He has previ- ously worked as a lecturer and research associate at Atilim University and North Dakota State University. His research interests include; modeling for facility planning, genetic algorithms, education of manufac- turing

Relevance Score: 0.012041052

Strategies For Using Technology When Grading Problem Based Classes

Conference Session: IE and the Classroom
Collection: 2010 Annual Conference & Exposition
Authors: Susan Murray, Missouri University of Science and Technology; Ruwen Qin, Missouri University of Sceinece and Technology; Ivan Guardiola, Missouri University of Science and Technology; Abhijit Gosavi, Missouri University of Science and Technology
Tagged Divisions: Industrial Engineering

AC 2010-1619: STRATEGIES FOR USING TECHNOLOGY WHEN GRADINGPROBLEM-BASED CLASSESSusan Murray, Missouri University of Science and TechnologyRuwen Qin, Missouri University of Sceinece and TechnologyIvan Guardiola, Missouri University of Science and TechnologyAbhijit Gosavi, Missouri University of Science and Technology Page 15.1100.1© American Society for Engineering Education, 2010 Strategies for Using Technology when Grading Problem-Based ClassesAbstractMore and more work is being done today using technology. Email and digital drop boxes areuseful tools for professors; however the challenge comes when one is teaching a quantitativeclass. The issue of using technology to