Conference Session

Applying What We Teach to IE Education

Collection

2009 Annual Conference & Exposition

Authors

Lawrence Whitman, Wichita State University; Janet Twomey, Wichita State University; Barbara Chaparro, Wichita State University; Veronica Hinkle, Wichita State University

Tagged Divisions

Industrial Engineering

issues has not shown a significant increase, this likely indicates that a single smallexternal change to the project (reusable containers) is not significant enough to impact students’beliefs and attitudes. In the Spring 2009 semester additional environmental issues will beincluded. The simulation will be more impacted by the introduction of more and variedenvironmental factors and environmental impact metrics.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.0633014. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. This work was also partially

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Faisal Aqlan, Penn State Erie, The Behrend College; Richard Zhao, Penn State Erie, The Behrend College; Heather C. Lum, Pennsylvania State University; Lisa Jo Elliott, Pennsylvania State University

Tagged Divisions

Industrial Engineering

simulation or the VR simulation, and performmetacognitive assessment of both groups. We aim to recruit ten teams of four students each toparticipate. The participants will first be asked to complete a craft production simulationindividually, in either the physical setting or in VR, and then work together in a mass productionsimulation.AcknowledgementsThis research is funded by the National Science Foundation NSF RIEF # 1830741: AdvancedModeling of Metacognitive Problem Solving and Group Effectiveness in CollaborativeEngineering Teams. Any opinions, findings, or conclusions found in this paper are those of theauthors and do not necessarily reflect the views of the sponsor.References 1. Ammar, S.H., and Wright, R.H. (1998). Introduction to

Conference Session

Industrial Engineering Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Farnaz Ghazi-Nezami, Kettering University; Mehmet Bayram Yildirim, Wichita State University

Tagged Divisions

Industrial Engineering

. Page 26.149.3The Lean Enterprise Institute founded by Womack 1 (1997) is aiming at developing educationalmethods and workshops to promote training about lean tools. Nontraditional instructionalmethods such as learning-by-doing methods, active and collaborative learning techniques aregetting more popular in the past few years. This trend is mostly reflected by introducing variousphysical simulation or computer games (gamification) and is growing rapidly due to theirpositive impact on learning process [1, 2]. The literature study illustrates a large pool ofeducational simulation games targeting different lean concepts and principles such as pullproduction, one piece flow, Jidoka, 5S, Poka Yoke and waste elimination. TimeWise simulation,Veebots

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

rating of user 𝑥 on topic 𝑠 and 𝑟𝑦,𝑠 is the rating of user 𝑦 on topic 𝑠, 𝑠𝑥,𝑦indicates the items that users 𝑥 and 𝑦 co-experienced. Then rating is computed by a weightedaverage of the nearest neighbors using the following formula7,8: ∑𝑦∈𝑆𝑥𝑦 (𝑟𝑦,𝑠 −𝑟̅𝑥 )𝑠𝑖𝑚(𝑥,𝑦)𝑟𝑥,𝑠 = 𝑟̅𝑥 + ∑𝑦∈𝑆𝑥𝑦 𝑠𝑖𝑚(𝑥,𝑦) ,where, 𝑟̅𝑥 is the average rating of user 𝑥. Two assumptions were used in the algorithm: (1) theprofessor was interested in relating the frequency of the topics on the websites to the OPCcourse, and (2) the frequency of the topics on the websites reflected the technological andstakeholders’ need changes and the professor agreed with the existence of the

Conference Session

IED Technical Session: Preparing Courses for the Future

Collection

2018 ASEE Annual Conference & Exposition

Authors

Omar Ashour, Pennsylvania State University

Tagged Divisions

Industrial Engineering

provide recommendations to manufacturing and service systems.The class involves lectures, online quizzes, two midterm exams, in-class problems, a case study,and a final exam. The course grade reflects the student performance in six quizzes (15%), twomidterm exams (40%), in-class questions and attendance (10%), case study (15%), and finalexam (20%). The instructor of the course does not provide homework assignments. In previousoffers of this course, the instructor noticed that many students received perfect grades in thehomework assignments but they received low grades in the high stake assignments and/or exams.This rendered the homework assignments ineffective in this course and other courses taught bythis instructor. Nowadays, students are able

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Michelle M Alvarado, University of Florida; Katie Leanne Basinger, University of Florida; Diego Alvarado, University of Florida; Behshad Lahijanian , University of Florida

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

Figure 3: Percentage of the video coverage by cohort (Pre-activity, Post-activity, and Pre-exam)3.2 Learning OutcomeTo help determine whether long or short-length videos were more effective, we also measuredstudents’ performance on in-video quizzes throughout the semester. The same quiz was given toboth groups. We continued using EQ 1 to determine which cohort students qualified for, and thecohort sizes were adjusted to reflect the earliest time period in which students watched the videos.In other words, now students only appear in one cohort. Figure 4 shows the percentage of studentswho took the video quiz in parenthesis for each cohort and the average percent scored for eachcohort on the x-axis. For the short group, the video quiz was at the

Conference Session

Evaluation and Assessment of IE Programs

Collection

2006 Annual Conference & Exposition

Authors

Ann Koopmann, University of Nebraska-Lincoln; Erick Jones, University of Nebraska-Lincoln

Tagged Divisions

Industrial Engineering

values from 0 to 1.0, where larger values indicate higherlevels of internal consistency. Nunnally (1978) and Spector (1992) provide an accepted rule thatcoefficient alpha should be at least 0.70 for a scale to demonstrate internal consistency.Coefficient alpha, commonly referred to as Cronbach’s alpha, reflects internal-consistencyreliability for the constructs in this study.The coefficient of determination, R square, is commonly used in research to measure theadequacy of regression models. It can also be looked at as the proportion of variation in thedependent variable “explained” by the model. In general higher the R square the moreacceptable, the model. Stepwise regression was used at an alpha level of 0.05 for our regressionanalysis. The

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

manufacturing be changed to reflect the needs of manufacturing industries.Track in Engineering Service Systems Historically industrial engineering problem solving tools have been appliedmostly to something physical like a production line. But recently, the service sector hasbecome very important in today’s economy and a very large percentage of the workingpopulation is employed in the service sector. The problem solving tools which thestudents in industrial engineering learn can be applied to improvement of serviceindustries also. Many major service industries suffer from low quality and productivity,which can be remedied by industrial engineers. Because of this need for industrialengineers in service sector, an advisory board of Industrial

Conference Session

New Topics in IE Education

Collection

2006 Annual Conference & Exposition

Authors

Jamie Workman-Germann, Indiana University-Purdue University Indianapolis; Heather Woodward-Hagg, Indiana University-Purdue University Indianapolis

Tagged Divisions

Industrial Engineering

cost/ROI (Returnon Investment) calculations for the project. With an initial investment of approximately $120Kand a 15:1 ROI goal from the regional CEO – the expectations were set very high to reflect theimportance of the project.Sample Data BG before 2p BG after 2p IN before 2p IN after 2p Order to Begin 1.5 hr 1.5 hr 1.5 hr 1.5 hr Begin to End 30 min MR, 7 min CT End to Read 1 hr 1 hr 1 hr 1 hr Read to Transcribe 3 hrs 8 hrs 7 hrs 14 hrs

Conference Session

Capstone Design Projects and Courses

Collection

2012 ASEE Annual Conference & Exposition

Authors

Michele Miller, Michigan Technological University; John K. Gershenson, Michigan Technological University; Amilcar Alejandro Rincon-Charris, Inter American University of Puerto Rico, Bayamon; Carlos A. Alvarado, Polytechnic University of Puerto Rico; Jose A. Rojas, Universidad del Turabo

Tagged Divisions

Engineering Management, Industrial Engineering, Systems Engineering

reflect this variability in expected Page 25.725.7learning. Besterfield, et al. directs readers to a web site with example rubrics for evaluating theattributes along this type of scale.4Having decided on the attributes and levels of learning, the next step is to select and developinstruments that balance the need for good information and practicality. The TIDEE group did anextensive review of the design and education assessment literature and chose four types ofassessment

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Masud Salimian, Morgan State University; Yaseen Mahmud, Morgan State University

Tagged Divisions

Industrial Engineering

class. At the minimum, the portfolio was a compilation of all the work student had done in the class including practice presentations, homework assignments and tests for each topic. Additionally each student was required to perform analysis of what they have done wrong in each test that they had not passed and ways to correct them for further topics. Finally, each portfolio had to contain a reflective self-assessment of student’s performance in the class and what he/she considers to be a justified grade for that performance in lieu of the class grading policy in the syllabus. Students were also encouraged to include the evidence of their participation in community of learning and their own

Conference Session

IE Technical Session II

Collection

2011 ASEE Annual Conference & Exposition

Authors

Dean Walton Pichette, Wayne State University; Darin Ellis, Wayne State University; Walter Bryzik, Mechanical Engineering, Wayne State University; Kyoung-Yun Kim, Wayne State University; Ming-Chia D. Lai, Wayne State University; Yun Seon Kim, Wayne State University

Tagged Divisions

Industrial Engineering

concepts and competencies. Each learning objective was associated with at leastone assessment. Assessments instruments varied by course and by outcome. In addition tocourse-specific assessments, three common assessments were administered for all courses: 1)SE Career Awareness / Interest Survey, 2) Assessment to Measure Students‟ ability to transferSE Learning to Novel Problems, and 3) Open-Ended Blog Postings by students thatdocumented and reflected on capstone progress.Course Evaluation / Improvement Plan:Four Fall Semester 2010 courses implemented some System Engineering elements.The primary contribution of the Systems Engineering class was to prepare and deliver lecturemodules for all of the participating classes. The following modules were

Conference Session

IE Technical Session II

Collection

2011 ASEE Annual Conference & Exposition

Authors

Jose F. Espiritu, University of Texas, El Paso; Heidi A. Taboada, University of Texas, El Paso

Tagged Divisions

Industrial Engineering

period. The main components (Education,Research, Outreach and Connections) will be evaluated using different formative and summativeevaluations. The results obtained will be documented and presented in forthcoming educationalrelated conferences.AcknowledgementsThis project is funded by the United States Department of Agriculture (USDA) award # 2010-38422-21210. The findings reported and the views expressed in this work are those of theauthors and do not necessarily reflect the position of the United States Department ofAgriculture.References 1. Elder, J. L. (2009) Higher Education and the Clean Energy, Green Economy. EDUCAUSE Review, vol. 44, no. 6 (November/December 2009): 108–109 2. Fitzpatrick, J.L., Sanders, J.R. and Worthen, B.R

Conference Session

Lean and Green

Collection

2010 Annual Conference & Exposition

Authors

Sharon Johnson, Worcester Polytechnic Institute

Tagged Divisions

Industrial Engineering

of topics that might otherwise not be clear or considered by students.The layout in Figure 2 reflects students’ understanding that lean involves creating ‘cells’ (so anassembly line is needed for each product) and a ‘u-shaped’ flow. In this case, because theprocess used to create blue and black clocks is identical, separate lines are not that useful (and infact, cause an issue when a new product line is introduced as a surprise in the last round). Thelayout generates a specific discussion of whether or not such focus is necessary, engagingstudents and developing the opportunity for a deeper understanding of lean ideas. In addition, indeveloping a circular flow, students also created some congestion.While the inquiry focus leads to rich class

Conference Session

IE Applications and Systems

Collection

2010 Annual Conference & Exposition

Authors

Cynthia Forgie, University of Southern Indiana; Marco Lara Gracia, University of Southern Indiana; MT Morris, University of Southern Indiana

Tagged Divisions

Industrial Engineering

. Depending on the level ofcommitment, it may take five to ten years to fully implement the proposed publictransportation network.Educational ValueThe METS efficiency study provided an opportunity for students from varieddisciplines to collaborate and work toward a common goal; the improvement ofthe municipal bus transportation system. Participating in this service projectallowed students to become more cognizant of public policy issues andcommunity impact. Upon completion of the study, students reflected on theprocess and the multitude of problem solving skills utilized throughout the study.Several students stated that they were proud of the fact that they were helpingsolve some of the city’s problems and it was rewarding to work on a project

Conference Session

Innovations in the IE Curriculum

Collection

2012 ASEE Annual Conference & Exposition

Authors

Heidi A. Taboada, University of Texas, El Paso; Jose F. Espiritu, University of Texas, El Paso

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

curricula can be easily replicated at other institutions. Undoubtedly, there will bemany challenges to overcome in the near future to achieve the level of success set by BGREEN.However, all the participating investigators understand the requirements, work and effort neededto make a multi-disciplinary and multi-institutional approach like BGREEN a success.Acknowledgement - This project is funded by a grant received by the United States Departmentof Agriculture under the Hispanic-Serving Institutions Education Grants Program. The findingsand the views expressed in this paper are those of the authors and do not necessarily reflect theposition of the United States Department of Agriculture

Conference Session

Capstone Design Projects and Courses

Collection

2012 ASEE Annual Conference & Exposition

Authors

Benito Flores, Universidad de Monterrey

Tagged Divisions

Engineering Management, Industrial Engineering, Systems Engineering

: assuring that new faculty whoteach the course (one of two in a given semester out of a total of six to eight faculty teachingthe course) know the whole system well; that students choose truly challenging projects (sincesome shoot low); and mostly assuring that the final results entirely pleased the client. Clients'most frequent complaint is that ―students design solutions and start implementing them—andthen leave us holding the bag when they graduate.‖ (Such comments might reflect on thelevel of client involvement.)ConclusionThe qualitative and quantitative results presented here reveal that the Systems EngineeringCapstone Course makes a difference in engineering students who take it. The all-roundpurpose of a capstone course is to integrate

Conference Session

Engineering Management Applications

Collection

2012 ASEE Annual Conference & Exposition

Authors

Syed Athar Masood, National University of Sciences & Technology, Rawalpindi, Pakistan

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

practicing project managers inidentifying a crucial factor affecting organizational performance.An organization’s culture is reflected by what is valued, the dominant leadership styles,the language and symbols, the procedures and routines, and the definitions of successthat makes an organization unique1. Cameron and Quinn1 have defined four differenttypes of organizational culture. These are represented as adhocracy, clan, hierarchy,and market. They have suggested the different leadership styles or managerial stylespertaining to the respective organizational culture. When an organization is dominatedby the hierarchy culture, the leadership style shown is that of organizing, controlling,monitoring, administering, coordinating, and maintaining

Conference Session

Pedagogical Advancements in Engineering Management

Collection

2012 ASEE Annual Conference & Exposition

Authors

Kathryn D. Abel, Stevens Institute of Technology; Anirban Ganguly, Stevens Institute of Technology

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

, therefore making it important to both academicians, as well as, practitioners. EM as aformal degree has been present since the mid 1940s 3 and currently, there are more than 100universities in the US offering an undergraduate and / or graduate program in EM. EM programswere historically embedded within the departments of industrial engineering, depending upon theuniversities 4. However, in order to reflect the gradual shift from manufacturing to turn-keysystems integrators in a global economic environment, many more universities are aligning theirEM programs with their systems engineering program 5.Importance of Analyzing FailuresFailure analysis is the process of collecting and analyzing data to determine the cause of afailure. It relies on

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Valerie Yvette Rito, Kansas State University; Jessica Lynn Aschenbrenner, Kansas State University; Jessica L. Heier Stamm, Kansas State University

Tagged Divisions

Industrial Engineering

research in the fields of game theory and optimization applied to public health and humanitarian logistics systems. Support for this work was provided by National Science Foundation award number CMMI-1228110. Any opinions, findings, conclusions, or recommendations are those of the authors and do not necessarily reflect the views of the funding organization. Page 24.1267.1 c American Society for Engineering Education, 2014 Toward Broadening Participation: Understanding Students’ Perceptions of Industrial EngineeringIntroductionAdvances in engineering are critical to

Conference Session

Innovative IE Course Content

Collection

2013 ASEE Annual Conference & Exposition

Authors

John P. Mullen, New Mexico State University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

1 3. Specific range, such as 1 - 4, 2 - 4 and 3 - 4. 8 4. Four copies per month. 2 5. Illogical range, such as 2-8, 48-60, 4 - 5, etc. 5 6. Expect to sell 0 – 4 copies each month. 9Given that no distribution is specified, the most logical answer is #1. Response 2 considersexpectations, but is too specific for the given information. Responses of type 3 specify a rangeand do not mention expectations. Responses 4 and 5 are clearly incorrect. Response 6 is a logicalconclusion from the structure of the problem that does not reflect any stochastic thinking. Theseresults indicate that about 20% of the class had some

Conference Session

Industrial Engineering Division Tech Session 2, IE-ing the Classroom

Collection

2017 ASEE Annual Conference & Exposition

Authors

Alejandro Salado, Virginia Tech; John Ray Morelock, Virginia Tech; Arash Baghaei Lakeh, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

clear: students need access to information and encouragement to pursue thatinformation if they are to successfully detect and resolve discrepancies through adaptation anddecision-making.Points of ImprovementGame Assessment. We found that the weekly reports were helpful in familiarizing the gamemasters with teams’ decision-making processes, and would like to continue this form of serialassessment. However, the prompts for these weekly reports should be more specific, and shouldalign with the learning frameworks identified in our analysis. We propose that in each weeklyreport, teams should be asked to reflect on the following: (1) What discrepancies exist betweenexpected and actual results of the previous week, (2) what strategies led to the

Conference Session

Integrating Research

Collection

2012 ASEE Annual Conference & Exposition

Authors

Alison M. Knight, Mayo Clinic; Gillian M. Nicholls, University of Alabama, Huntsville; Paul J. Componation, University of Alabama, Huntsville

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

reflected the average of thetotal number of attempts for that assignment. For example, if a student scored 80, 90, and 100for the three assignment attempts for Homework #1, the Homework #1 assignment score wouldbe 90. If another student scored 90 and 100 and used only two attempts for Homework #1, thenthe assignment score would be a 95. Students quickly realized that in this scenario they wouldearn a higher score if they repeated the assessment a third time to earn a second 100 and increasethe average.Because these homework assignments were identical for each student and the questions hadmultiple choice answers, the instructors realized that either guessing or the sharing of answersamong students was possible. To counteract the effect of this

Conference Session

Pedagogical Advancements in Engineering Management

Collection

2012 ASEE Annual Conference & Exposition

Authors

Mysore Narayanan, Miami University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

). Page 25.225.6 It is important that the aims and objectives of discovery approach are reflected in everyaspect of the learning environment created. The creative new approach should documentaccomplishments at the upper levels of Bloom's Taxonomy Triangle (Bloom, 1956 & 1976;Boud & Feletti, 1991). Scholars in the area of cognitive science and educational psychologyhave identified four features that clearly separate a problem-based curriculum from a traditional,topic-based curriculum (Nickerson, et. al. 1985).Assessment Procedure Assessment of the Discovery approach was carried out by the author using severalproven, well established and widely recognized tools (Rowntree, 1977). Sample quizzes, homework assignments

Conference Session

Focus on IE Principles and Techniques

Collection

2008 Annual Conference & Exposition

Authors

Sharon Johnson, Worcester Polytechnic Institute; Bryan Norman, University of Pittsburgh; Jean Fullerton, Elizabethtown College; Susan Pariseau, Merrimack College

Tagged Divisions

Industrial Engineering

Page 13.1340.11using it again, but in expanding its use to explore additional topics. Initially, it is also importantthat faculty feel comfortable leading the simulation; the‘Train-the-Trainer’ workshop, on-sitesupport during the first run of the simulation, and the simulation documentation all contributed tothe success at Sites 2 and 3. Longer term, we are evaluating the importance of ongoing support,reflective activities such as writing articles, and opportunities to participate in case developmentas ways of keeping faculty engaged to sustain changes.The results from these initial implementations are being used to refine assessment tools, as wellas to inform the process for future implementations. Several additional universities will be

Conference Session

Focus on IE Course Design and Assessment

Collection

2008 Annual Conference & Exposition

Authors

Paul Kauffmann, East Carolina University; Cathy Hall, East Carolina University; Gene Dixon, East Carolina University; John Garner, East Carolina University

Tagged Divisions

Industrial Engineering

, p < .001. 16 In addition, a seven-year longitudinalstudy using the full NEO-PI-R tested long-term stability. For the five-domain scale, coefficientalphas that ranged from 0.63 to 0.81 were found for both men and women.15The second instrument was the Ten Item Personality Inventory (TIPI).17 The TIPI wasdeveloped to provide a brief measure of the Big-Five personality dimensions and has been foundto have adequate convergence with widely used Big-Five measures in self reports; test-retestreliability; and, patterns of predicted external correlates. This tool was selected to evaluate a testinstrument which may provide a more compact tool for engineering educators.Rotter17 is credited with the original locus of control concept which reflects a

Conference Session

Issues and Opportunities in IE Education

Collection

2009 Annual Conference & Exposition

Authors

Marlin Thomas, Air Force Institute of Technology

Tagged Divisions

Industrial Engineering

. This also presents the greatest challenge for IE educators tomaintain a curricula core for the discipline and profession.End NotesThe views expressed in this article are those of the author and do not reflect the official positionof the Air Force, Department of Defense, or the U.S. Government.References1. ALDRICH, J.G., 1912. “The Present State of the Art of Industrial Management,” Trans. of the ASME, Vol. 34, Paper 1378, pp. 1182-11872. BILLINGS, C., J.J. Junguzza, D.F. Poirier, and S. Saeed, 2001. “The Role and Career of the Industrial Engineer in the Modern Organization,” Ch. 1.2, Maynard’s Industrial Engineering Handbook, Ed. K.B. Zandin, Ch. 1.2, pp. 1.21-1.373. EMERSON, H.P. and D.C.E. Naehring, 1988 , Orgins of

Conference Session

Industrial Engineering Division Tech Session 2, IE-ing the Classroom

Collection

2017 ASEE Annual Conference & Exposition

Authors

Nadiye O. Erdil, University of New Haven

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

of actively andskillfully conceptualizing, applying, analyzing, synthesizing, and/or evaluating informationgathered from or generated by observation, experience, reflection, reasoning, or communication,as a guide to belief and action”.10 In this context, critical thinking targeted in this study is thestudents’ ability to gather information through various activities and connect and integrate thisinformation for use (as a guide to action) in a more complex assignment. The approach used issimilar to the one employed in Linder et. al. study in terms of assignment sequencing andbreaking up a larger assignment into smaller assignments. However, the smaller assignmentsused in this study are different in nature and type, and how they are connected

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

James Burns, Western Michigan University; Enas Aref, Western Michigan University; Mohammad Majd, Western Michigan University

Tagged Divisions

Industrial Engineering

Raw Adjustednecessarily reflect true differences. SESSION N Grouping Mean Mean 19AM 104 81.09% 81.46% AThe final model resulted in an RSQ of 18AM 100 77.87% 79.12% A B49.09% and included SESSION, 18PM 85 76.79% 77.47% A BMAJ, LABSCORE, HWSCORE, and 19PM 85 73.57% 75.46

Conference Session

IED Technical Session: Preparing for the Future Through Projects and Research

Collection

2018 ASEE Annual Conference & Exposition

Authors

Gokhan Egilmez, University of New Haven; Dusan Sormaz, Ohio University; Ridvan Gedik, University of New Haven

Tagged Divisions

Industrial Engineering

positive trends and crises in business organizations. Besides, both PrBL and PjBLapproaches help students gain ability to understand, define, and reflect a problem with professionalengineering language and terms, which is one of the crucial expectations of business organizationsthat hire engineers. In the following sections, both PrBL and PjBL are explained in detail. Eventhough the literature uses PBL for both Project-based and problem-based learning; PrBL and PjBLnotation is preferred since both will be discussed. 1Problem-based learning (PrBL)PrBL was first used at McMaster University in Canada for the study of medicine in 1969 [1]. Ithas been