Collection

2024 CIEC

Authors

MADDUMAGE KARUNARATNE; Christopher Gabany

ETD 505 Learn Ethics before Graduation Maddumage Karunaratne, University of Pittsburgh at Johnstown; Christopher Gabany, The Pennsylvania State UniversityAbstractThe business world expects measured responses to ethical problems from leaders in variousdisciplines, including engineering. Knowing how to use available resources, and exposure to realcase studies make the graduates less vulnerable to undue or untoward pressure in the corporateworkplace. Every situation demanding an ethical decision is different and unique, and engineersneed to assess how to conduct themselves based on the

Collection

2024 CIEC

Authors

Md. Ali Haider; Jody Alberd

, vol. 11, no. 2, 2022, doi: 10.11591/ijres.v11.i2.pp126-134.[5] P. K. Verma et al., “Machine-to-Machine (M2M) communications: A survey,” Journal of Network and Computer Applications, vol. 66. 2016. doi: 10.1016/j.jnca.2016.02.016.[6] K. C. Chen and S. Y. Lien, “Machine-to-machine communications: Technologies and challenges,” Ad Hoc Networks, vol. 18, 2014, doi: 10.1016/j.adhoc.2013.03.007.[7] V. Rey, P. M. Sánchez Sánchez, A. Huertas Celdrán, and G. Bovet, “Federated learning for malware detection in IoT devices,” Computer Networks, vol. 204, 2022, doi: 10.1016/j.comnet.2021.108693.[8] T. Borangiu, S. Răileanu, F. Anton, I. Iacob, and S. Anton, “A Systems Engineering-Oriented Learning Factory for Industry

Collection

2024 CIEC

Authors

Carmen Cioc; Noela Haughton; Sorin Cioc

ETD 515 Enhancing Essential Skills for Engineering Graduates: A Project-Based Learning with Entrepreneurial Mindset Approach in MET Courses Carmen Cioc, Noela Haughton, and Sorin Cioc The University of ToledoAbstractThis paper discusses the outcomes of implementing a project-based learning (PBL) pedagogyintegrated with entrepreneurial mindset learning (EML) in two advanced core MET courses. Thecollaborative effort between engineering and education faculty aimed to explore the impact ofsuch PBL-EML implementations on enhancing essential skills

Collection

2024 CIEC

Authors

Nathan Luetke; Orlando Ayala

ETD 365 A Project-Based Learning Activity for an Engineering Technology Heat Transfer Course to Design a Shell-and-Tube Heat Exchanger Nathan Luetke and Orlando Ayala Old Dominion UniversityAbstractThermofluids courses demand a strong grasp of mathematics and employ physics extensively todescribe physical systems. Heat transfer, in particular, presents challenging topics, which can beeven more daunting for engineering technology students. In this paper, we present theimplementation of a project-based learning activity in the engineering technology heat transfercourse. The

Collection

2024 CIEC

Authors

Aleksandr Sergeyev; Scott Kuhl; Bester Mangisoni; Gurveetsingh Ajmani; Mark Kinney; Michael Masters; Kellon Petzak

degree program atMichigan Tech. Dr. Sergeyev is a member of SPIE, ATMAE, IEEE, and ASEE professional organizations and hasmentored numerous undergraduate senior design projects and student publications.SCOTT KUHL is an associate professor of Computer Science and an Adjunct Associate Professor of Cognitive &Learning Sciences at Michigan Technological University. He received his PhD in Computer Science from theUniversity of Utah in 2009. He has been the faculty advisor for Husky Game Development Enterprise since Spring2010. His research interests include immersive virtual environments, head-mounted displays, spatial perception, androbotics education.BESTER MANGISONI is a graduate student pursuing a master’s in Data Science at Michigan

Collection

2024 CIEC

Authors

Mahdi Yazdanpour; Leslie Ferrao; Biplov Ale

integrating cutting-edge technologies into industrial automation. Inaddition, this project is designed to assist engineering technology students learn the integration ofmechatronic system components, robot programming fundamentals, articulated robotconfigurations and movements, and the evolution of human–robot collaboration in modernindustry.IntroductionThe integration of the electrical activities of the human brain with electromechanical devices todevelop mind-controlled systems has become one of the most cutting-edge research topics in thefields of neuroscience, biomechatronics, human-computer interaction, robotics, and fourthindustrial revolution known as Industry 4.0. This interdisciplinary effort brings together expertsfrom different domains to

Collection

2024 CIEC

Authors

Mauricio Torres; Ying Shang; Zakariya Al Hamouz

focus of this course is to teach students how to adapt and optimize drone hardware and components for specific applications within different industries. Each industry may have distinct requirements and challenges that demand a specialized approach. New course to be developed.• MRE 3410 (Computer Vision for Drones) - this course focuses on basics of computer vision, including image processing, object detection, and tracking, and the algorithms used to process sensor data and extract meaningful information. Students will learn different skills such as how to use computer vision techniques to detect and track objects in drone’s field of view, or how to map an environment. New course to be developed.4. Facilities

Collection

2024 CIEC

Authors

James Kribs; Jackson Brown; Angelique Shackleford; Darius Mcklin

vast topics that make up Industry 4.0 technologies, requiring backgroundand preparatory courses in multiple disciplines. As part of a graduate survey course in Industry4.0 technologies, the following topics are covered; • Cloud computing • The industrial internet of things • Virtual and augmented reality • Cyber-physical systems • Big data structures • Additive manufacturing • Artificial intelligence and machine learning • Simulations and digital twin modeling, • Industrial robotics • Workers in Industry 4.0 • The emergence of Industry 5.0.All of these topics can be discussed individually in specific disciplines

Collection

2024 CIEC

Authors

James Kribs

vast topics that make up Industry 4.0 technologies, requiring backgroundand preparatory courses in multiple disciplines. As part of a graduate survey course in Industry4.0 technologies, the following topics are covered; • Cloud computing • The industrial internet of things • Virtual and augmented reality • Cyber-physical systems • Big data structures • Additive manufacturing • Artificial intelligence and machine learning • Simulations and digital twin modeling, • Industrial robotics • Workers in Industry 4.0 • The emergence of Industry 5.0.All of these topics can be discussed individually in specific disciplines

Collection

2024 CIEC

Authors

Behin Elahi

effects on learning outcomes. Thisresearch paper aims to address this gap by investigating the educational impact of AR and VRapplications in the context of teaching industrial and systems engineering courses. It focuses on asample data analysis for lean systems and enterprises course content taught in two groups ofstudents in AR and VR learning environment and using traditional learning environment. Thisstudy has demonstrated statistical evidence supporting the positive impact of VR and ARtechnologies on the lean systems and enterprises course topic. After conducting t-meandifference test, a P-value below the significance level of 0.05 was achieved. The result of thisstudy affirms the significant improvements in students’ post-assessment scores

Collection

2024 CIEC

Authors

MADDUMAGE KARUNARATNE

electrical and computer engineers may not becomesoftware developers, they would still need to adapt to and adopt the trending technologies to besuccessful in their careers. Proceedings of the 2024 Conference for Industry and Education Collaboration Copyright ©2024, American Society for Engineering Education ETD 365Teaching embedded systems has been around for a long time for the purpose of learning the skills todevelop control and communication systems in both software and hardware. However, the value ofacquiring such skills has been higher than ever now that almost every controllable device, fromexpensive automobiles

Collection

2024 CIEC

Authors

H. Bryan Riley

Table 1. Lising of applications for ChatGPT.This paper considers a version of an LLM, ChatGPT and the relative consequences of utilizingthis tool in secondary education. This technology is sometimes referred to as a computer robotdesign where 570Gb of data representing over 300 billion words and approximately 175 billionparameters are encapsulated [3], [4]. Artificial intelligence has recently become more prevalentin higher education as it enables students to seek packaged answers without engaging intraditional learning methods, self-directed study and research, practice, and peer collaboration.The investigation will commence by reviewing the background of LLMs and the fact theydemonstrate remarkable capabilities in the field of natural

Collection

2024 CIEC

Authors

Jason Bruns

gain a better understanding of their desired career/work exploration by employing these Lean tools to evaluate processes and responsibilities integral to those roles in a virtual setting. Imagine a virtual reality nursing station, for example. Learners can actively observe and assess how they might use the Lean methodology to increase safety, efficiency, teamwork and encourage employee empowerment to provide an overall improved experience for the nurses, staff, and patients, as well. Educators For educators, the Lean curriculum offers a straightforward concept that demands minimal computation, much to the delight of some learners. The modules come equipped with project- based and problem-based activities, which align with the learning outcomes

Collection

2024 CIEC

Authors

Maurizio Manzo

, ‘Session 18-3 Technology in Engineering Education: Using FLUENT Software to Evaluate and Solve Computational Fluid Dynamics Problems’, 2008.[4] P. A. López, J. J. Mora, F. J. Martínez, and J. Izquierdo, ‘Computational Fluid Dynamics (CFD) models in the learning process of Hydraulic Engineering’, Computer Applications in Engineering Education, vol. 18, no. 2, pp. 252–260, Jun. 2010.[5] H. K. Navaz, B. S. Henderson, R. M. Berg, and S. M. A. Nekcoei, ‘A New Approach to Teaching Undergraduate Thermal/Fluid Sciences - Courses in Applied Computational Fluid Dynamics and Compressible Flow’, Mechanical Engineering Publications. 157, 2002.[6] W. Jeong and J. Seong, ‘Comparison of effects on technical variances of

Collection

2024 CIEC

Authors

David Satterwhite

,supplementary learning, over reliance concerns, ethical concerns, detachment from traditionallearning, and lack of critical thinking development. The evolution from GPT from version 3.0, to3.5, to 4.0, which involves a significant improvement in language processing capabilities andscope of knowledge resulting in more nuanced context-awareness, including text and imageprompts, will also be considered in this study. By drawing from student assignment samples,class discussions, and user feedback, a comprehensive overview of the challenges, benefits, andthe pedagogical implications of ChatGPT in this first-year course will also be discussed. As theChatGPT technology evolves, a balanced approach that harnesses the potential of this technologywhile

Collection

2024 CIEC

Authors

Jiayue Shen; Daniel Jones; Kazi Imran; Xiang Wang; Weiru Chen; Lanju Mee

; (b) controlling servo motor.3.4 MODULE 4: Implementing Wi-Fi Communication between the Arduino and a Computer Using ESP8266 ModuleObjectives: The objective of the experiment is to learn how to establish Wi-Fi communicationbetween an Arduino board and a computer using an ESP8266 Wi-Fi module. The experimentinvolves connecting the ESP8266 module to the Arduino, writing a code in Arduino IDE toestablish the Wi-Fi connection, and testing the connection by sending data back and forthbetween the two devices. The goal is to gain a better understanding of how Wi-Ficommunication works in the context of the Arduino and to acquire a useful skill for IoTapplications that require wireless communication.Equipment: The equipment required for the

Collection

2024 CIEC

Authors

Gary Mullett; Lara Sharp

of Things (IoT),Industrial IoT or IIoT, advanced robotics and collaborative robotics, artificial intelligence/machine learning/deep learning, big data, and cloud/edge/computing [1]. The net result has beenan ongoing increase in the automation of traditional manufacturing and industrial practices, usingmodern smart technology, large scale machine-to-machine (M2M) communication, and theInternet of Things (IoT) applications to enable many supportive and essential industrialfunctions. However, as with many disruptive technology implementations, there tend to be“growing pains”. Several recent reports [2-4] have highlighted potential roadblocks to the timelyadoption of the digital technologies needed to implement Industry 4.0 solutions and how

Collection

2024 CIEC

Authors

Jungwon Ahn

for Industry and Education Collaboration Copyright ©2024, American Society for Engineering Education ETD 515Researchers have explored the potential for distinctive and innovate teaching pedagogies influid-thermo related courses within engineering technology programs. A study by Ayala andPopescu [1] showed the benefits of a flipped classroom format in fluid mechanics classes forengineering technology students. Additionally, Martin [2] implemented active learning principlesinto an engineering technology fluid mechanics course, resulting in higher exam scores andstudent benefits. Choudhury and Rodriguez [3] demonstrated a reformed

Collection

2024 CIEC

Authors

Sidney Martin; Marilyn Barger; Catherine Davis

engineering technicians is essential to the growth of industry in the United States.As the industry expands, the lack of manufacturing organizations are seeking to implementIndustry 4.0. Skills needed for mechatronics technicians to work in the Industry 4.0manufacturing community were reported by Acerbi and Rossi [3] to include the following: • Knowledge about process speed and programming • Expert interdisciplinary with various knowledge about instruments and components in manufacturing. The knowledge should include information about mechanical systems, robots, actuators, sensors, computer systems, and embedded systems • Programming languages to use the above devices

Collection

2024 CIEC

Authors

Ghazal Barari; Brian Sanders

., Johri, A., & Rangwala, H. (2018, March). Running out of stem: a comparative study across stemmajors of college students at-risk of dropping out early. In Proceedings of the 8th international conference onlearning analytics and knowledge (pp. 270-279).[9] Ramesh, A., Goldwasser, D., Huang, B., Daume III, H., & Getoor, L. (2014, June). Learning latent engagementpatterns of students in online courses. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 28, No.1).[10] di Lanzo, J. A., Valentine, A., Sohel, F., Yapp, A. Y., Muparadzi, K. C., & Abdelmalek, M. (2020). A review ofthe uses of virtual reality in engineering education. Computer Applications in Engineering Education, 28(3), 748-763.[11] Ma, G. G., Voccio, J

Collection

2024 CIEC

Authors

David Labyak; Scott Wagner

include smart factories, cyber physical systems, proactivemaintenance, computer simulation, horizontal and vertical integration, and barriers toimplementation. Four main learning objectives are used in the course design. These are toillustrate how the interconnection of machines and people connect to form the Internet of Things(IoT), demonstrate how information transparency is accomplished, propose DecentralizedDecisions, and to assess the shifting role of human operators to strategic decision-maker andproblem-solver roles. To assist in achieving these learning objectives, a grant award wasreceived from the Association for Iron and Steel Technology (AIST) foundation to help withcurriculum development. The award is being used to help students

Collection

2024 CIEC

Authors

Afi Anuar; Vukica Jovanovic; Natnan Luetke; Hamid Eisazadeh; Isaac Flory IV; Mileta Tomovic; Anthony Dean

, and food processing.However, both the region and the broader state of Virginia are struggling with a skilled laborshortage that fails to meet the demands of these manufacturing enterprises. This paper aims toprovide insights into the recently established Manufacturing Engineering Technology (MFET)program at Old Dominion University, located in Norfolk, Virginia. The MFET program featuresa comprehensive curriculum, encompassing the development of new courses and theestablishment of a state-of-the-art smart manufacturing laboratory. This program has beeninitiated in collaboration with the Institute for Advanced Learning and Research and Patrick &Henry Community College in Martinsville, VA, and a grant funded by the U.S. Department ofVeteran

Collection

2024 CIEC

Authors

Mohamed Zeidan; Ahmad Fayed; Mehmet Bahadir

technological changes [1]. Engineering educators are working to address the challenges facingengineering education. For example, they are developing new curricula and teaching methodsthat are designed to improve student retention and diversity. They are also working to developpartnerships with industry to ensure that their students are learning the skills they need to besuccessful in the workforce [2-4]. The rapidly changing industries in our current era arecontinuously seeking for a flexible and dynamic workforce that can quickly adapt to changes inthe markets and technologies [5].Over the years, there has been a lot of research into the causes of the gap between whatengineering students learn in school and what they need to know to be successful in

Collection

2024 CIEC

Authors

Alexander Wyglinski

this complex relationship, including the creationof clear and transparent communications between the different stakeholders (employee/PhDstudent, employer, faculty advisor), the handling of intellectual property, and the pursuit ofresearch that is mutually beneficial to everyone in the relationship, In this paper, the process ofhow to setup up an Experiential PhD framework within the context of an academic institutionbased in the United States is presented, with several details of how this innovative frameworkwas implemented at Worcester Polytechnic Institute (WPI) as well as lessons learned andchallenges experienced during the design, development, and implementation stages.The rest of this paper is organized as follows: First, we start with

Collection

2024 CIEC

Authors

Ahmad Fayed; Mohamed Zeidan; Ephraim Massawe; Mehmet Bahadir

the topics.The IT program offers 4 bachelor of science degrees in 4 concentrations and 4 associate degrees,the ET program offers 5 bachelor of science degrees in 5 concentrations, and the OSHE programoffers 1 bachelor of science and 1 associate degrees. The ET and OSHE programs are accreditedby the ABET and the IT program is accredited by the Association of Technology, Management,and Applied Engineering (ATMAE). Although all programs meet the accreditation requirements,the limitation of the credit hours for the degrees offered does not allow learning or practicingmany of the industrial standards relevant to the curriculum taught in these three academicprograms. In addition to ABET and ATMAE requirements, curriculum in each program meetsthe

Collection

2024 CIEC

Authors

Sarah (Yin Yin) Tan; Song-Lin Yang; David Labyak

[10]. To address this gap, Lucietto et al. [10] conducted a study focusing on ETstudents’ mediation channels and psychological learning styles. Their study revealed the heightenedtolerance of ET students for disorder and random thoughts in the learning environment compared totraditional engineering students [10]. Additionally, Lucietto and Berhan [11] concentrated onunderrepresented students in ET, examining demographics like gender, age, ethnicity, initial major,years in school, and transfer status, and contrasting with those in the traditional engineeringdiscipline. Nevertheless, there is limited research that combines objective and subjective approachesto explore and compare the academic success of transfer students within the ET field

Collection

2024 CIEC

Authors

Mark Pagano; Lorne Arnold; Heather Dillon

. Likewise, one of the two instructors had the opportunity to attend a UW WritingFellows Workshop this past year and based on what was learned, is preparing the necessarymaterials to be woven into CE’s first offering of the ethics course so that it also meets the writingdesignation requirements. These materials can then be emulated in the ME program.In this paper and presentation, we will provide overviews of the initial preparation by ourcolleagues including the PI’s, rubrics, and criterion distribution with an emphasis on theengineering ethics portion which is covered primarily in ABET Criterion 4. Examples will alsobe provided of exercises that were used to evaluate the PI’s along with how performance levelrubrics were utilized. Since the first

Collection

2024 CIEC

Authors

Saeed Foroudastan

the team added to the boat.Students learn to apply solar energy in a watercraft efficiently and gain hands-on experience withsustainable energy and energy management [2]. Each part is manufactured in MTSU laboratoriesand more than 80% of the boat is built by hand.The solar boat project was created by the associate dean of Basic and Applied Sciences, Dr.Saeed Foroudastan. Most students who are in EVP use their hands-on experience to completetheir Capstone course requirement and make an innovative design that can be contributed to theSolar boat. Team members who participate in the Solar Boat design and construction gainseveral advantages when entering the workforce due to their experience with engineeringmechanics, teamwork, and

Collection

2024 CIEC

Authors

Marilyn Barger; Richard Gilbert; Sidney Martin

industrialfacilities. Common hierarchical structures, to learn what skills the entry-level engineeringtechnicians need to have, are defined. How those skills align and interact with their directsupervisors and cybersecurity business units is presented. The recommendation process forimplementing cyber-related skills in Florida’s AS Engineering Technology programs is alsoreviewed. These efforts might also help other advanced manufacturing programs nationwidedetermine what cybersecurity skills they should consider adding to their programs.Organizational CybersecurityIn recent decades, information technology (IT) services and support have become increasinglyintegrated into all organizations and businesses. Many now have entire business units ordepartments of

Collection

2024 CIEC

Authors

Otilia Popescu; Dimitrie Popescu; Murat Kuzlu

signal degradation, dead spots, and unreliableconnectivity. This paper presents the research work conducted by a team of undergraduatestudents from Electrical and Computer Engineering (ECE) and Electrical EngineeringTechnology (EET) majors. The work was a partnership between Old Dominion Universityengineering programs and Booz Allen Hamilton, through a sponsored project. The studentsinvestigated the available software modeling options and settled on using the ALTAIR softwaresuite. The layout of the USS Wisconsin, which is open to the public through the NauticusMuseum and Maritime Discovery Center in Norfolk, was modeled and the propagationsimulation results were compared with real measurements performed on the ship. Studentsinvestigated the