Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Bruce Wilcox, University of Southern California; Yufan Fei; Jihao LI, University of Southern California; Junqiang Wang; Junmeng Xu, University of Southern California

Tagged Divisions

Industrial Engineering Division (IND)

: • Generating datasets that contain desired statistical patterns and relationships as specified in a high-level series of commands. • Randomizing the datasets so that each student can receive unique datasets for assessment purposes. • Integrating with a commercial grading platform to manage the distribution, collection, and automatic grading of individualized assessments.For purposes of this discussion, we use the matrix notation of James, et. al. to describe ourdatasets [1] with 𝑛 observations and 𝑝 predictor variables: • An 𝑛 × 𝑝 “predictor matrix” 𝑿 where each column is an 𝑛 × 1 individual predictor vector 𝑿𝟏, 𝑿𝟐, …, 𝑿𝒑, where 𝑿𝒊 = [𝑥1𝑖 , 𝑥2𝑖 , … , 𝑥𝑛𝑖 ]𝑇 with 𝑥𝑖𝑗 representing the

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Enas Aref, Western Michigan University

Tagged Divisions

Industrial Engineering Division (IND)

the deployment of a specializedGPT (Generative Pre-trained Transformer) tailored to the specific needs of multidisciplinary teams. Aframework for Gen AI literacy and deployment and an evaluation rubric to quantify and assess theefficacy of human-Gen AI collaboration are proposed. Figure 1 shows the flow of the work presented inthis paper. The following sections of this paper are organized as follows: Literature Review, TDCRModule, Gen AI Literacy Framework, Project Pal GPT, Human-AI Collaboration Evaluation Tool, andConclusion Figure 1: Flow of TDCR module and Gen AI integration in curriculum2. Literature review 2.1. Project-based learning (PBL) Project-based learning (PBL) has been shown to be effective in increasing

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ana Cram, University of Texas at El Paso; Arunkumar Pennathur, University of Texas at El Paso; Amirmasoud Momenipour, Rose-Hulman Institution of Technology; Priyadarshini R. Pennathur, University of Texas at El Paso

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Industrial Engineering Division (IND)

two additional sets of learningmaterials in their course projects and analyses. The goals of the redesigned course elements wereto provide engineering students the knowledge and tools needed for thinking with anentrepreneurial mindset when designing sustainable products, and for following a structuredproduct design process for generating and evaluating the designs. The rationale for includingentrepreneurial-minded learning and product design principles and methods in the course wasthree-fold: (1) to encourage constant curiosity among students about the changing priorities insustainable and responsible design in the world in general and industries they will work for inparticular, and anticipate the challenges involved in designing and

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Laura Thomason, Mansfield ISD/The University of Texas at Arlington; Victoria C. P. Chen, The University of Texas at Arlington; Erick C. Jones, The University of Texas at Arlington; Jay Michael Rosenberger, The University of Texas at Arlington; Jaivardhan Sood, The University of Texas at Arlington; Vishnu Sharma Kaipu Prabhakar Sharma, The University of Texas at Arlington; Soulmaz Rahman Mohammadpour, The University of Texas at Arlington; Rahsirearl Dominick Smalls, Everman ISD/The University of Texas at Arlington; Jocelyn Sigler M.Ed., The University of Texas at Arlington; James Hovey

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Industrial Engineering Division (IND)

conduct the DACE process,employing sustainable building design software tools as computer models for the experiments. Inthis paper, we propose and illustrate the DACE process as a training framework for noviceresearchers who are brand new to research. The DACE process provides a general set of researchtools, consisting of four steps: (1) Calibration of the computer model(s) for the application ofinterest, (2) Design of experiments to organize a set of computer model input parameter settings,(3) Execution of the computer model(s) to generate performance metric outputs, (4) Analysis ofthe input and output data. For sustainable building design, the performance metric outputsrepresent dimensions related to the pillars of sustainability: people

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Corey Kiassat, PhD, MBA, PE, Quinnipiac University

Tagged Divisions

Industrial Engineering Division (IND)

Ercikan and McCaffrey's work on the integration ofartificial intelligence into rubric generation [8], the author utilized ChatGPT to construct therubric. Additionally, similar to the framework outlined by Cooper [9], ChatGPT wasemployed to systematically apply the rubric and assess student contributions.A one-tailed t-test was then performed on the total before and after scores of the students. Ap-value of 0.0008 and Cohen’s d value of 1.57 to conclude that the course suggest that thecourse had a significant and practically meaningful impact on the students. The rubric andthe results are presented in Tables 1 and 2. While the number of respondents is small (n=9),the trend is certainly positive, encouraging the continuation of integrating

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Gibrán Sayeg-Sánchez, Tecnologico de Monterrey (ITESM); Miguel X. Rodriguez-Paz, Tecnologico de Monterrey

Tagged Divisions

Industrial Engineering Division (IND)

display Boxplot Phase 6. Quiz 12. Quiz 18. Quiz Contextualization Demonstration Evaluation Fig. 1. Guided Learning Sequence for Measure Phase in DMAICOnce the students had completed the GLS, a competence assessment and a study-preferencequestionnaire were applied. The competence assessment evaluated the ability of the student tounderstand collected data and to generate scenarios that facilitate decision making. Thiscompetence development was measured with a qualitative rubric that classified students’performance in four

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Maria A. Cannarozzo Tinoco, Universidade Federal Do Rio Grande Do Sul; Christine Tessele Nodari, Universidade Federal Do Rio Grande Do Sul; Luis Rabelo; Paula Kvitko de Moura, Federal University of Rio Grande do Sul; Arthur Marcon, Universidade Federal Do Rio Grande Do Sul; Angela de Moura Ferreira Danilevicz

Tagged Divisions

Industrial Engineering Division (IND)

"Assessment by Competences", "AnalyticalRubrics," and "Undergraduate Engineering Education" were used in the literature search.Academic articles in English from the previous two decades were prioritized. Furthermore,benchmarking analyses were organized based on PMG partnerships with North Americaninstitutions (the University of Central Florida, the University of Florida, the University ofPittsburgh, and the University of Illinois at Urbana Champaign) [24]. Additionally, the EWGparticipated in workshops with PMG experts and training for two years. Also, the MecekLaboratory's team from Argentina provided workshops founded on competency-basededucation.Table 1. Competencies of the new curriculum of Industrial Engineering Technical 1. Design

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Thomas Aming'a Omwando, Simpson University; Bhavana Kotla, Purdue Polytechnic Graduate Programs; Adel Alhalawani, Rose-Hulman Institute of Technology; Lisa Bosman, Purdue University at West Lafayette (PPI); Ashutosh Khandha, University of Delaware

Tagged Divisions

Industrial Engineering Division (IND)

adopted from Dieter & Smith, 2021 [22], which they could use ordevelop their own tasks relevant to the product/component they were working on. 1. Clearly explain how the product operates. 2. Identify the conditions necessary for proper functioning of the product. 3. Identify the mechanical, electrical, control systems, or other devices that are used in the product to generate the desired functions. 4. Identify the energy and force flows through the product. 5. Identify the spatial constraints for subassemblies and components. 6. Determine what clearance is required if any for proper functioning. 7. If a clearance is present, find out why it is present. 8. Identify the major subassemblies of the product. 9

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Araceli Zavala, Tecnologico de Monterrey; Jonathan Cuevas-Ortuño, Tecnologico de Monterrey; J. Reyes Angulo Cedeño, Tecnologico de Monterrey ; Agustin Perez Araos, Tecnologico de Monterrey ; Marco Antonio de Luna

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Industrial Engineering Division (IND)

thirty year retrospective,” Systems research and behavioral science, vol. 17, no. S1, pp. S11–S58, 2000.[22] S. Bell, T. Berg, and S. Morse, “Towards an Understanding of Rich Picture Interpretation,” Systemic Practice and Action Research, vol. 32, no. 6, pp. 601–614, dec 2019. [Online]. Available: http://link.springer.com/10.1007/s11213-018-9476-5[23] I. K. Dibia, H. N. Dhakal, and S. Onuh, “A ‘ Lean ’ Study using the Soft Systems Methodology General Process Information Flow Chart : Soft Biscuit,” International Journal of Applied Science and Technology, vol. 1, no. 6, pp. 68–80, 2011.[24] D. E. Ufua and A. O. Adebayo, “Exploring the Potency of Rich Pictures in a Systemic Lean Intervention Process,” Systemic Practice and

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mahesh Kumar Pallikonda, Austin Peay State University; Hossain Ahmed, Austin Peay State University; Md. Ali Haider, Austin Peay State University; Ravi C Manimaran, Austin Peay State University

Tagged Divisions

Industrial Engineering Division (IND)

Advanced Manufacturing Technology. Prior to joining APSU, he served as a faculty member at Ohio Northern University, where he taught courses on the fundamentals of electronics, including electrical circuits. At APSU, Dr. Pallikonda instructs courses specializing in Robotics and its applications, Engineering Economics, CAD and Manufacturing processes. Dr. Pallikonda is passionate about educating and inspiring the next generation of engineers, technologists, and innovators through his lectures. He is deeply committed to advancing the fields of robotics and manufacturing through interdisciplinary research in connected devices and Industrial Internet of Things (IIoT). His research interests span Manufacturing, Material

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sara C. Vick, Mississippi State University; Lesley Strawderman P.E., Mississippi State University; Brian K. Smith, Mississippi State University

Tagged Divisions

Industrial Engineering Division (IND)

(MIDFIELD) is used to identify common transfer paths students followwhen entering or leaving Industrial Engineering (IE) degree programs. This includes whenstudents are transferring from non-engineering programs into IE, transferring from IE to non-engineering programs, or changing degree programs to or from IE while remaining withinengineering. It was found that IE was far more commonly the destination for degree programtransfers, rather than the origin, both within engineering and in general. Fields that often led toIE included Electrical Engineering and Chemical Engineering as well as Business and ComputerScience. However, when students did transfer out of IE, they were much more likely to beleaving engineering entirely than changing to a

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ebisa Wollega, Colorado State University, Pueblo; Melissa Braddock; Lisa Bosman, Purdue University, West Lafayette

Tagged Divisions

Industrial Engineering Division (IND)

of the omitted features. In thispaper, three publicly accessible datasets are used to present subjective analyses of insignificantfeatures beyond the general recommendation of an AI algorithm.IntroductionPredictive modeling is one of the skills that industrial engineering graduates possess. Thepredictive relevance of an output/response depends on the quality of the input factors, commonlyknown as the features. Among many input factors, choosing significant features for businessoperational purposes is customary. There are many reasons why a portion of the features is usedfor decision-making purposes, such as computational cost and accuracy [1,2,3]. In addition, thepredictive algorithms are also tuned carefully to optimize for overfitting and

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Eric Specking, University of Arkansas; Shengfan Zhang, University of Arkansas

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering Division (IND)

visualization, Data nanotechnology) Specified) Models (aTAM) analytics Next Generation Modeling 10th-12th Grade Predictive modeling Physics, Science Standards Thermodynamics Chemistry (machine learning), Thermodynamics, (NGSS HS-PS3-1, with Machine 3-5 Class Periods Spreadsheet modeling Energy HS-PS3-4, HS- Learning ETS1.1—1.4) Data types

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Israa Azzam, Purdue University, West Lafayette; Farid Breidi, Purdue University, West Lafayette; Faisal Aqlan, University of Louisville; Jose M Garcia, Purdue University; Paul Asunda, Purdue University, West Lafayette

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Industrial Engineering Division (IND)

study of subsystem assembly, and testing mechanisms. The module is designed infour stages (Stage 1: Spatial 3D Shapes Design and Animation, Stage 2: Gripper Design, Stage3: MR Scenes Setup/Design, and Stage 4: Module Technical Testing), as illustrated in thediagram in Figure 1. © American Society for Engineering Education, 2024 2024 ASEE Annual Conference Figure 1. Diagram illustrating the four stages of the MR module designStage 1 focuses on designing and animating 3D spatial questions with varying levels ofdifficulties for exposing students to spatial visualization techniques throughout the MR tutorialsession. Throughout this stage, up to 10 distinct 3D spatial shapes are

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gibrán Sayeg-Sánchez, Tecnologico de Monterrey; Nicolás Amado-Moranchel, Tecnologico de Monterrey; Andres Esteban Acero, Tecnologico de Monterrey

Tagged Divisions

Industrial Engineering Division (IND)

students with a score considerably below the rest of thegroup. However, variance of scores in the post-test decreased, with a symmetric distribution witha mean of 75.Figure 8. Distribution comparison of the pre and posttests resultsHowever, to verify the improvement of individual students, we used a 95% confidence intervalfor difference of paired means. We found a significant positive impact in the test performanceafter the VR activity, with a p value of 0.021, as shown in Table 1. This result may imply that theactivity allows students to better understand technical concepts and application methodologies ofLean. Nevertheless, this improvement may be conditioned to the perception of students about theuse of technology. To verify it, we applied to

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Md Abdullah, The University of Texas at Arlington; Gowtham Nageshwara rao, The University of Texas at Arlington; Faith Lauren Sowell, The University of Texas at Arlington; Vibhav Nirmal, The University of Texas at Arlington; Shuchisnigdha Deb, The University of Texas at Arlington

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Industrial Engineering Division (IND)

disabilities,” Journal of Namibian Studies: History Politics Culture, vol. 35, pp. 861-82, 2023.[7] A. Johnson, “Throwing our bodies against the white background of academia,” Area, vol. 52, no. 1, pp. 89-96, March 2020.[8] M. J. Callaghan, G. Bengloan, J. Ferrer, L. Cherel, M. A. E. Mostadi, A. G. Eguíluz, and N. McShane, “Voice Driven Virtual Assistant Tutor in Virtual Reality for Electronic Engineering Remote Laboratories,” Lecture notes in networks and systems, pp. 570–580, Jul. 2018, doi: https://doi.org/10.1007/978-3-319-95678-7_63.[9] V. Chheang, R. M. Hernandez, M. Patel, D. Rajasekaran, S. Sharmin, G. Caulfield, B. Kiafar, J. Li, and R. L. Barmaki. "Towards anatomy education with generative AI

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Bopaya Bidanda, University of Pittsburgh; Gajanan Hegde

Tagged Divisions

Industrial Engineering Division (IND)

. Strategy as a Wicked Problem,” Harvard Business Review, Vol. LXXXVI, No. 5, (May 2008), pp. 98-106.[4] Camillus J., Bidanda B., Chandramohan N., The Business of Humanity, Routledge Press, Taylor & Francis, 2017. ISBN-13: 978-1-138-19746.[5] Bolton J., The Value Methodology Memory Jogger, 2nd Edition, 2018, Bolton Value Consulting, ISBN 978-1-57681-293-7.[6] VM Guide Technical Committee, VM Guide, SAVE International, 2020, ISBN 9781735088013.[7] Mandelbaum J., Williams H.W., and Hermes A. C, Hermes, Value Engineering Synergies with Lean Six Sigma ,Institute of Defense Analyses (IDA) Paper P-4586, Log: H 10-000962, September 2010.[8] Goldratt Eliyahu M., Theory of Constraints, North River Press, ASIN: B00L7XYW2Q, January 1990.[9

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Megan Hammond, University of Indianapolis; Joan Martinez, University of Indianapolis; Joseph B. Herzog, University of Indianapolis

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering Division (IND)

alsopresented.Introduction of Problem and NeedThe benefits of project-based learning have been well established, especially in providingstudents opportunities to develop their independence, responsibility, and social skills [1]. This, inaddition to the push of the Accrediting Board for Engineering and Technology (ABET) toinvolve students from multiple disciplines in solving complex engineering problems [2], haveresulted in the implementation of interdisciplinary team-based projects throughout engineeringcurricula.However, team-based project teaching can experience several instructional challenges,particularly when working with a large number of students and projects. Interdisciplinary teamformation can also impose difficulties as students vary in technical skills

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sara Amani, Texas A&M University; Dianna Morganti, Texas A&M University; Kristi J. Shryock, Texas A&M University; Lance Leon Allen White, Texas A&M University

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Industrial Engineering Division (IND)

Test AnxietyAbstract Test anxiety is a prevalent psychological issue among higher-education students,particularly those seeking degrees in STEM (Science, Technology, Engineering, andMathematics) [1]. Test anxiety is an adverse emotional reaction when faced with a testingcircumstance or comparable evaluative atmosphere. Numerous studies on the impact of testanxiety on STEM students' academic performance have been undertaken. Understanding thecomplex link between test anxiety and academic achievement is critical for developing evidence-based solutions to help students succeed in STEM fields. Despite substantial research on collegestudents' test anxiety, there are major gaps in the literature, particularly in the context ofengineering

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ekaterina Koromyslova, South Dakota State University; Carrie Steinlicht, South Dakota State University; Miriam Kanini Peter

Tagged Divisions

Industrial Engineering Division (IND)

difficult to keep up with the changesnecessary to prepare qualified college graduates [1, 4-5]. Contemporary workforce requirements change the old stereotype of an engineer as a highlyknowledgeable and technically qualified but introverted specialist. Professional skills that aretransferable to any workplace are displacing technical knowledge at the top of the list of employers’requirements for engineers. Today, engineers are expected to work in multidisciplinary teams,effectively communicate with diverse audiences and stakeholders, and understand the societal impactof engineering decisions [6-7]. However, national reports indicate that less than 50% of employersconsider college graduates proficient in competencies such as professionalism

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Laura Visintainer Lerman; Italo Rodeghiero Neto, Universidade Federal Do Rio Grande Do Sul; Joana Siqueira de Souza, Universidade Federal Do Rio Grande Do Sul; Maria Auxiliadora Cannarozzo Tinoco, Universidade Federal Do Rio Grande Do Sul

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Industrial Engineering Division (IND)

local industries in which alumniare the main means of engaging these partnerships, the development of unique competencymanagement that involves the entire university, and the need for innovation in the educationenvironment in engineering so that the university can be increasingly inserted in the contextof open innovation with a focus on attracting new students, economic and geographic growthand local social impact with a focus on community development.Keywords: International Benchmarking; Active Learning; Industrial Engineering. 1. IntroductionEngineering education in developed countries is a benchmark for all others [1]. In theseuniversities, different ways of teaching students are used to make learning more realistic andattractive. North

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Tagged Topics

Diversity

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Industrial Engineering Division (IND)

questionnaire. However, as the third internship requires students to work as industrialengineers, we evaluate advanced learning outcomes such as design and management abilities.We also evaluate some learning outcomes in all three internships, such as professional ethicsand communication. Table 1 presents some aspects of each internship’s evaluation.Table 1 - Internship evaluation General ability Internship Internship Internship Learning Outcome or skill 1 2 3 Ability to join work teams X X X Teamwork

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Elif Akcali, University of Florida; Saron Getachew Belay; Elayne Colón, University of Florida; Jade Williams

Tagged Divisions

Industrial Engineering Division (IND)

curricula to make education more all-inclusive and effective is too important to ignore [1].To enhance imaginative and creative thinking skills of undergraduate students in industrial andsystems engineering, poetry-writing assignments were incorporated into a required upper-levelcourse that focused on the modeling and analysis of inventory and supply chain systems in alarge public university’s industrial and systems engineering curriculum [4]. An assessment ofstudent perceptions of these assignments revealed that poetry writing not only provided thestudents with an opportunity to practice their imaginative and creative thinking skills as expectedbut strengthened their conceptual understanding of the technical material as well [5]. To this end

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Emma S Atherton, University of Florida; Elif Akcali, University of Florida

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Diversity

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Industrial Engineering Division (IND)

-writing assignments wereintroduced to a large university’s upper-level industrial and systems engineering course onsupply chain system design and control. A careful investigation into the student perceptions ofthese poem-writing assignments shed light to the benefits of creating technical poems. There isevidence in the literature how technical poetry writing in STEM fields in general [4, 5, 6] andengineering in particular [7, 8, 9, 10, 11, 12, 13, 14, 15] contributes to a deeper conceptualunderstanding of technical models while simultaneously engaging students’ imagination andunorthodox thinking.Poetry writing in a technical course, i.e., technical poetry writing, is a form of creative learning.Creative learning is not simply memorizing

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Arif Sirinterlikci, Robert Morris University; Khalid H. Tantawi, University of Tennessee at Chattanooga

Tagged Divisions

Industrial Engineering Division (IND)

Paper ID #38423Integrating Entrepreneurial Mindset, Bio-design, and Art into a RapidPrototyping and Reverse Engineering CourseDr. Arif Sirinterlikci, Robert Morris University Arif Sirinterlikci is a University Professor of Industrial and Manufacturing Engineering at Robert Mor- ris University (RMU) School of Engineering, Mathematics, and Science (SEMS). He holds BS and MS degrees, both in Mechanical Engineering from Istanbul Technical University in Turkey and his Ph.D. is in Industrial and Systems Engineering from the Ohio State University. He has also been a Certified Manufacturing Engineer (CMfgE), awarded by the Society of

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Janice Mejía, Northwestern University; Katherine Scharfenberg, Northwestern University; Jill Hardin Wilson, Northwestern University

Tagged Divisions

Industrial Engineering Division (IND)

. Preliminary results indicate that the addition of formative assessments havehelped students better communicate the problem and solution to a wider audience in their projectdeliverables. A revised instructional model is presented, along with future evaluation plans.IntroductionAs engineering students move into the workplace, their success depends on their technical skillsand ability to communicate. Studies have shown that based on their position within anorganization, engineers may spend up to fifty percent of their time writing [1]. While writing hasbeen presumed to be part of an engineer’s job, it has not always been considered a centralcomponent of the engineering profession [2], [3]. The role of writing in engineering has inspiredseveral studies

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Pelumi Olaitan Abiodun, Morgan State University; Vandana Pandey, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University

Tagged Topics

Diversity

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Industrial Engineering Division (IND)

shift in pedagogical practices among industrial engineering educators, ultimatelyempowering the next generation of industrial engineers to drive innovation and progress in theindustry.IntroductionCuriosity is a primary motivator of learning, invention, and innovation. Curiosity is essential inengineering education for fostering critical thinking, problem-solving, and lifelong learning skillsrequired to face 21st-century issues [1], [2], [3]. Lindholm [4] posited strongly that modernity isfundamentally rooted in curiosity, which serves as a catalyst for knowledge acquisition, freshperspectives, and creative thinking in both individuals and groups. In the opinion of Pluck andJohnson [5], curiosity is an aspect of intrinsic motivation with great

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Oladayo John Akinpelu; Oludayo Samuel Alamu, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Neda Bazyar Shourabi, Pennsylvania State University, Berks Campus; Ayodeji B. Wemida; Mulugeta T Dugda, Morgan State University; Jumoke 'Kemi' Ladeji-Osias, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University

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Industrial Engineering Division (IND)

integrated into two Industrial Engineering (IE) courses:Thermodynamics and Materials Engineering. This has been done in various ways, includingthrough student use at home and in-class demonstrations and teaching labs. During the mostrecent academic session (Fall 2021–Spring 2022), the effects of practical home-basedexperimentation and lab activities on students' attitudes, interests, and performance wereexamined for the Engineering Thermodynamics course. The outcomes of a survey known as theMotivated Strategies for Learning Questionnaires (MLSQ), which was given to 51 students,demonstrated better improvements in the student's motivation, epistemic, and perceptualcuriosity, three crucial characteristics linked to their success. Along with the MLSQ

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Eric John Estadt, Pennsylvania State University; Khoa Nguyen, Pennsylvania State University; Kevin Skinner, Pennsylvania State University; Ashkan Negahban, Pennsylvania State University; Omar Ashour, Pennsylvania State University; Sabahattin Gokhan Ozden, Pennsylvania State University

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Industrial Engineering Division (IND)

ring is colored blue. The different colors create a contrastingcolor palette that will emphasize the picking point, even if the ground color is similar to one of therings or if the user is color-blind. WARP follows multiple steps to deliver the desired warehouseexperience to a user.The flowchart in Figure 4 summarizes user interaction and the step-by-step program response,which can be summarized as follows: 1. When opening the web page, users are prompted to log in with their ID. Alternatively, users can sign in as a guest. 2. The user is redirected to the application page, and they can start their AR session. 3. If a user logs in with their ID, the application receives an ARD file (XML document) containing the layout of their

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Nina Miville, University of Miami

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Diversity

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Industrial Engineering Division (IND)

provides an element that cannot besimulated in lectures and homework assignments. Projects must be actionable, messy, andmeaningful to really provide learning. The course template shown in the paper would serve is amethod that other professors teaching a project management course could adopt.References:[1] B. Van der Horn and C Killen, “Stop sanitizing project management education: EmbracingDesirable Difficulties to enhance practice-relevant online learning,” Project Leadership andSociety, 2021.[2] U.S. Department of Education, National Center for Education Statistics, Earned DegreesConferred, 1949-50 and 1959-60 through 1969-70; Higher Education General InformationSurvey (HEGIS), "Degrees and Other Formal Awards Conferred" surveys, 1970-71