Conference Session

Industrial Engineering Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Behin Elahi, Indiana University Purdue University, Fort Wayne

Tagged Divisions

Industrial Engineering

factors and found the best setting forfactor level which results in higher yield. In the second project, they were asked to determine apotential optimized structure of 3D-printed material to be used for future space suits. Theydesigned different structures and analyzed the fabric strength versus fabric shape and structureusing tensile test. The uniqueness of this project learning paper is the key findings from the studyand the associated survey. They demonstrate that the project-based learning approach improvesthe students’ attitudes towards engineering, results in higher-order cognitive learning, booststheir self-efficacy, enhances learning through high retention of the learning material and thesubject matter, strengthens team working and

Conference Session

Reforming the Industrial Engineering Curriculum

Collection

2006 Annual Conference & Exposition

Authors

Sharon Johnson, Worcester Polytechnic Institute; Diane Strong, Worcester Polytechnic Institute; Jamshed Mistry, Worcester Polytechnic Institute

Tagged Divisions

Industrial Engineering

knowledge.Second, we examined student self-efficacy, defined as a personal judgment of one’s capability toperform a particular activity1, a construct that has been positively linked to motivation andacademic performance3,9. Because these learning measures are task-specific, the questionnairesand rubrics we developed for their assessment are important research outcomes.We used a repeated measures (pre-post) experimental design, with experimental and controlconditions to compare student learning of core topics taught with and without the Oracle-basedmodule. Comparisons suggest that inclusion of the Oracle-based exercises not only did notdetract from functional learning, but also increased self-efficacy about technology.In the next section, we provide a

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

researchwas originally conducted in 1997 and software tools and applications have grown significantlysince then. In addition, this study did not do any statistical analysis to evaluate the results oftheir work [6].To measure how students felt about the course, we measured self-efficacy - an individual's beliefin their capacity to execute behaviors necessary to produce specific performance attainments [7].If during the introduction of a new software the student becomes discouraged, they will likelydevelop a negative attitude towards the use of such software as well as a negative attitudetowards learning software in the future [8]. Discouraged students do not feel confident abouttheir knowledge and over time this leads to a decrease in their self

Conference Session

IE and the Classroom

Collection

2010 Annual Conference & Exposition

Authors

Lesley Strawderman, Mississippi State University; Laura Ruff, Mississippi State University

Tagged Divisions

Industrial Engineering

retention rates, degree attainment, and grade point averages, additionalliterature suggests that students’ efficacy beliefs may be an important measure of courseeffectiveness5. Self-efficacy, as first described by Bandura6, can positively or negativelyinfluence behavior based on a person’s perception of his abilities to successfully complete a task.Self-efficacy beliefs of undergraduate students in STEM (i.e. Science, Technology, Engineeringand Mathematics) majors have been linked to success and persistence within these fields7.Additionally, self-efficacy beliefs have been shown to affect interest, expectations, and choicesof engineering students8-9.Previous work examined self-efficacy beliefs of students in relation to their expectations

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Imelda Olague-Caballero, New Mexico State University; Delia J. Valles-Rosales, New Mexico State University

Tagged Divisions

Industrial Engineering

team; communicate effectively; and knowledge of contemporaryissues while building students' self-efficacy through direct interactions with industryprofessionals. This model will increase the students' employability by facilitating the creation ofmeaningful connections to the real world of work, and will develop the students' ability tonavigate and negotiate the social, political, and practical dimensions of a workplaceThe model allows teams of 4 students to participate in this experience; they work under thesupervision and guidance of a graduate students acting as peer mentor, who is responsible toassist and support the team during the completion of their project. It is required that the teamspend two hours a day during twelve weeks

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Elif Akcali, University of Florida; Wayne C.W. Giang, University of Florida; McKenzie Landrum, University of Florida

Tagged Divisions

Industrial Engineering

”). The final score for each factor is based on the average of the relevant items.  SSCS is a 11-item questionnaire that evaluates creative self-efficacy (CSE) (6 items), one’s belief that they can be creative (e.g, “I know I can efficiently solve even complicated problems”), and creative personal identity (CPI) (5-items), one’s belief that they are creative (e.g., “I think I am a creative person”). Participants respond on a 5-point scale between strongly disagree and strongly agree, with a final score being the average of the relevant items.  CMS is a 10-item questionnaire that measures two types of mindsets towards creativity, a fixed mindset (5-items), representing a view that creativity is

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Lisa Bosman, Purdue University at West Lafayette; Nathalie Duval-Couetil, Purdue University at West Lafayette

Tagged Divisions

Industrial Engineering

. Yet, an example of theoretical framingis provided here to give instructors a starting point. Ambrose et al. [9] provide compellingjustification that motivation to learn is driven in large part by a combination of three factors: self-efficacy, seeing value, and a supportive environment. Self-efficacy refers to confidence in one’sability to successfully complete a task. Self-efficacy can manifest itself as confidence in currentknowledge, confidence in gaining access to knowledge (e.g., resourcefulness), or confidence inlearning new knowledge (e.g., growth mindset). Research suggests as self-efficacy increases, sotoo will motivation to learn [10]. Seeing value relates to a goal’s perceived importance; as seeingvalue increases, motivation to

Conference Session

Innovations in the IE Curriculum

Collection

2012 ASEE Annual Conference & Exposition

Authors

Denise H. Bauer, University of Idaho, Moscow; Jessica L. Heier Stamm, Kansas State University; Lesley Strawderman, Mississippi State University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

interested in the freshman engi- neering experience and student self-efficacy related to capstone courses. Bauer’s educational background centers around human factors and ergonomics, and she is particularly interested in issues that concern the safety and comfort of middle school students. Her research has also included topics such as design for the seeing impaired, backpack safety of college students, safety of pedestrians, and ergonomics of industrial tools.Dr. Jessica L. Heier Stamm, Kansas State UniversityDr. Lesley Strawderman, Mississippi State University Page 25.98.1 c American

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2016 ASEE Annual Conference & Exposition

Authors

Paul C. Lynch, Penn State University - Erie; Cynthia Bober, Penn State University; Joseph Wilck, United States Air Force Academy

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

specific and complex challenges.8,10Inductive teaching methods truly cover a large variety of instructional methods, from inquirylearning, problem-based learning, and project based learning. Often, these methods are deemed“student centered”, as the mastery of the concepts falls on the students to understand theimportance of the material from the problems or projects.11 Overall, inductive teaching styleshave more student benefits than deductive teaching methods. Inductive teaching methods offermore combinations to reach the learning style needs of the classroom and engage students moreactively in the subject matter.Student Perceptions in the ClassroomSatisfaction, self-efficacy, motivation, and classroom environment are the main factors in

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

affected.Estriegana conducted a study [8] which extended the TAM with the factors of perceivedefficiency, playfulness, and satisfaction. After analyzing the questionnaire results, theyconcluded that each newly introduced factor has a positive influence on the original TAMvariables [8].Salloum and his colleagues [17] performed an in-depth literature review on eLearning TAMextension factors in the last 12 years. The following factors showed up most frequently: systemquality, content quality, information quality, computer self-efficacy, subjective norm, enjoyment,accessibility, and computer playfulness. The pilot study and subsequent questionnaire revealedthat subjective norm has an insignificant impact on both perceived usefulness and perceived easeof use, and

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

experimentation takes more time, and may be moreappropriate for IE courses that seek to develop students’ abilities as process designers, ratherthan managers and engineers who are knowledgeable about processes.Student LearningOur assessment plan calls for experimental studies that evaluate how both behavioral and contentoutcomes of student learning are affected by the new curriculum materials. Behavioral outcomesinclude increased self-efficacy, i.e. a personal judgment of one’s capability to perform aparticular activity. This is a particularly important affective measure for tasks perceived to bedifficult, because it is highly correlated with the amount of effort individuals are willing toexpend and their determination to complete tasks1,2. Self-efficacy

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

attitude included several stereotypicalstatements that could indicate students’ level of understanding of basic job functions. Nofield of engineering was specified in the attitude survey. Then the study asked students toidentify 5 types of engineers and state one example of the work that type of engineer did.Less than 5% of the 300 plus students included in the survey were able to correctlyidentify 5 types of engineers. Close to half of the students had no opinion of engineers’involvement in business decisions or how much time engineers spent in the lab.16There are many studies that explore differences in perceptions by ethnicity or gender.These studies generally fall into either aspirational studies or self-efficacy studies. Inother words, why do

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

personality factors were explored in relation to time to degree. 9Data collected over a six-year period showed locus of control significantly contributed toobtaining an undergraduate degree in a timely manner. However, metacognitive skills, actionbehaviors related to academic success, and high school GPA were the three factors that emergedas predictors of college GPA. This research supported Borkowski’s 10, 11 model of academicachievement based on the dimensions of metacognition and affective factors. Metacognitioninvolves a knowledge of learning strategies and using these strategies in an effective andefficient manner. The affective component involves factors such as self-efficacy, motivation,and locus of control. Research supports the role of

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2015 ASEE Annual Conference & Exposition

Authors

Justine M. Chasmar, Clemson University; Brian J. Melloy, Clemson University; Lisa Benson, Clemson University

Tagged Divisions

Industrial Engineering

aims to understand effects of a SRL workshop/intervention, framed by the StudyCycle, on IE students’ SRL strategy use in an IE course.Self-regulated LearningAt a symposium at the 1986 American Educational Research Association (AERA) annualmeeting, a group of researchers agreed on a definition of SRL combining three aspects ofcognitive and affective domains that help students achieve their academic goals: motivation,metacognition, and self-directed action20. Later, Zimmerman and Schunk coined the phrase“masters of their own learning” to describe students who practice SRL techniques21. Self-regulated learners are seen to have high motivation in terms of self-efficacy and intrinsic taskattributions22. Metacognitive strategies used by self

Conference Session

Evaluation and Assessment of IE Programs

Collection

2006 Annual Conference & Exposition

Authors

Shantha Daniel, Iowa State University; Devna Popejoy-Sheriff, Iowa State University; K. Jo Min, Iowa State University; Leslie Potter, Iowa State University

Tagged Divisions

Industrial Engineering

the students for use as thebasis for a section of their final project reports subtitled “Constraint Considerations andRamifications.” Along with this, the grading rubric distributed in the syllabus wasmodified to evaluate how well this is accomplished by each project team. During Fallsemester 2005, Dr. Min was invited to read students’ impact statements regarding socialconstraints, and to offer opinion about their ability to synthesize global enterpriseconcepts with their company-specific projects.Assessment improvements have been made in several ways in IE 441. A pre- and post-test was designed and administered to IE 441 students the first and last days of the Fall2005 semester. The test indicates their current knowledge and self-efficacy

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Christian Enmanuel Lopez, Lafayette College; Omar Ashour, Pennsylvania State University; James Devin Cunningham; Conrad Tucker, Carnegie Mellon University; Paul C. Lynch, Pennsylvania State University

Tagged Divisions

Industrial Engineering

fundamental topics and real-world problems 1,2. The separationin time and context across different courses could account for this lack of connection 2.Unfortunately, this lack of connection and understanding could impact students’ attrition rates.The graduation rate of engineering students has stayed consistently around 50% for more than 60years 3–8. Some of the many factors that contribute to these low rates include classroom andacademic climate (e.g., feeling of engagement and teaching styles), grades and conceptualunderstanding, self-efficacy and self-confidence, high school preparation, interest, and careergoals, and race and gender 9. Moreover, factors such as low grades and lack of conceptualunderstanding may drive students away 9. Hence, there

Conference Session

Engineering Management Applications

Collection

2012 ASEE Annual Conference & Exposition

Authors

Gene Dixon, East Carolina University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

Conference Session

Systems Engineering Education and K-12

Collection

2012 ASEE Annual Conference & Exposition

Authors

Pablo Biswas, Texas A&M International University; Runchang Lin, Texas A&M International University; Ramesh Hanumanthgari, Texas A&M International University; Sri Bala Vojjala

Tagged Divisions

Engineering Management, Industrial Engineering, Systems Engineering

achievement measures, the authors found weak relations between the amount ofhomework assigned and student achievement, and positive relations between the amount ofhomework students completed and achievement, especially at upper grades (6-12). Hoover-Dempsey et al.[13] reviewed research on parental involvement in student homework, and foundthat parents involve themselves in student homework because they believe that they should beinvolved, believe that their involvement will make a positive difference, and perceive that theirchildren or children's teachers want their involvement. Unfortunately, the first-generation collegestudents fail to get that at TAMIU. Leone and Richards[17] found that in instructive practice,homework plays a critical, long-term

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Paul C. Lynch, Pennsylvania State University, University Park, PA; Cynthia Bober, Penn State University; Jennifer Louise Mines, The Pennsylvania State University

Tagged Divisions

Industrial Engineering

assessments that measure students’ thought processesand level comprehension of class material1, 9-10.Questions J through N: Instructor Approachability, Passion, and FairnessA large-scale study by Austin (1993) discovered that the interaction between faculty and studentswas one of the most predictive factors of beneficial change in students’ academic advancement,personal growth, and satisfaction14,16. Another study by Atman et. al, “Enabling engineeringstudent successes,” found that senior students’ behavioral motivation, psychological motivation,motivation from a mentor, and motivation to do social good were related to how often studentsinteracted with instructors and how satisfied students were with instructors14. Clearly, studentand instructor

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Christian Enmanuel Lopez, Pennsylvania State University, University Park; Omar Ashour, Penn State Erie, The Behrend College; Conrad Tucker, Pennsylvania State University, University Park

Tagged Divisions

Industrial Engineering

topics and real-world problems [1], [2]. The lack of thisconnection could be due to time and context separation [2].The lack of connection and understanding could impact students’ attrition rates. Engineeringgraduate rates in the US have been consistently around 50% over the last 60 plus years [3]–[8].Many factors contribute to these low rates, such as classroom and academic climate, grades andconceptual understanding, self-efficacy and self-confidence, high school preparation, interest andcareer goals, and race and gender [9]. The classroom environment and academic climate mayinclude factors such as the lack of feeling engaged or differences in teaching styles. Grades andconceptual understanding means difficulties in understanding concepts and