.” Accessed: Mar. 26, 2024. [Online]. Available: https://dl.acm.org/doi/abs/10.1145/3610978.3640574[7] S. Dutta, T. Banerjee, N. D. Roy, and B. Chowdhury, “Development of a BCI-Based Application Using EEG to Assess Attentional Control,” in Proceedings of the Global AI Congress 2019, J. K. Mandal and S. Mukhopadhyay, Eds., in Advances in Intelligent Systems and Computing. Singapore: Springer, 2020, pp. 659–670. doi: 10.1007/978-981-15-2188- 1_52.[8] E. H. Houssein, A. Hammad, and A. A. Ali, “Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review,” Neural Comput & Applic, vol. 34, no. 15, pp. 12527–12557, Aug. 2022, doi
Management Engineer in the automotive industry, he returned to academia in 2013, receiving his B.Sc. in Business Psychology from H-BRS in 2017, and is currently pursuing his M.Sc. in Business Psychology at H-BRS.Christine KawaMarco Winzker ©American Society for Engineering Education, 2023 Computer-Supported Collaborative Learning in Higher Education: An Experimental Analysis of Small-Group Collaboration in Web-ConferencingAbstract: Computer-supported collaborative learning (CSCL) is a widely known and usedteaching and learning approach in higher education online and hybrid scenarios. When planningan online or hybrid session from a didactic point of view, in most cases only the maximumcapabilities of the planed
Paper ID #38528Deep Learning Projects for Multidisciplinary Engineering Design StudentsMr. Robert L. Avanzato, Pennsylvania State University, Abington Robert Avanzato is an associate professor of engineering at the Penn State Abington campus where he teaches courses in electrical and computer engineering, computer science, and robotics. His research interests are mobile robotics, artificial intelligence, computer vision, deep learning and virtual environ- ments. ©American Society for Engineering Education, 2023 Deep Learning Projects for Multidisciplinary Engineering Design StudentsAbstractDeep
Paper ID #39897Work in Progress: Development and Facilitation of a NewCertificate/Class for Undergraduate Teaching Assistants in Engineeringand Computing ProgramsDr. Jamie R. Gurganus, University of Maryland, Baltimore County Dr. Jamie Gurganus is a faculty member in the Engineering and Computing Education Program and Affiliate Professor in the Mechanical Engineering Department at UMBC. She is the Associate Director STEMed Research in the College of Engineering and Information Technology (COEIT). She also serves as the Director for the Center for the Integration of Research, Teaching and Learning (CIRTL) in the graduate
Paper ID #37271Designing Learning Experiences with a Low-Cost Robotic ArmProf. Eric Markvicka, University of Nebraska-Lincoln Dr. Eric Markvicka is an Assistant Professor in the Department of Mechanical and Materials Engineering at the University of Nebraska-Lincoln (UNL). There, he also holds a courtesy appointment in the De- partment of Electrical and Computer Engineering and the School of Computing. At UNL Dr. Markvicka directs the Smart Materials and Robotics Laboratory, an interdisciplinary research lab that is creating the next generation of wearable electronics and robotics that are primarily composed of
as the interface to communicate to students in theclassroom, to an entirely online format using only computers from home. The faculty decided tosurvey the students to obtain their perspective to determine if students thought the onlineinstruction would be and actually was as effective as the in-person instruction. Twelveundergraduate engineering courses were surveyed both during the first week of online learning,then again at the end of the online instruction. Although the students were busy trying to adapt tothe change while still maintaining class schedules, they responded well to the surveys. Close to400 student responses were collected over the two surveys given.Benefits and Limitations of Online LearningOnline learning has been a
, 2005.[17] Krystian Radlak and Marcin Fojcik. Integration of robotic arm manipulator with computer vision in a project-based learning environment. In 2015 IEEE Frontiers in Education Conference (FIE), pages 1–4. IEEE, 2015.[18] Christopher Crick, Graylin Trevor Jay, Sarah Osentoski, Benjamin Pitzer, and Odest Chadwicke Jenkins. rosbridge: ROS for non-ROS users. In International Symposium on Robotics Research (ISRR 2011), Flagstaff, AZ, August 2011.[19] S. Osentoski, G. Jay, C. Crick, B. Pitzer, C. DuHadway, and O. C. Jenkins. Robots as web services: Reproducible experimentation and application development using rosjs. In Proceedings of the 2011 IEEE International Conference on Robotics & Automation, 2011.[20
Paper ID #39948Experiential Learning for Interdisciplinary Education on VestibularSystem ModelsDr. Masoumeh Farhadi Nia, University of Massachusetts, Lowell Masoumeh Farhadi Nia is a Ph.D. student in Electrical and Computer Engineering at the Francis College of Engineering, University of Massachusetts Lowell. Her research focuses on signal, image, and video processing, with a particular interest in the application of brain signal processing in robotics within the field of Brain-Computer-Interface.”Grace E. CallenGayatri Aroskar, University of Massachusetts, Lowell Master’s in Biomedical Engineering and Biotechnology from
skills in computer-aided design (CAD),manufacturing and electronics in order to apply the learned skills to a radio-controlled device. Inthe second term (Winter), students expanded their knowledge by integrating advancedmanufacturing such as 3D printing and laser cutting into their designs, and learned how toprogram a microcontroller to autonomously complete a task. In addition, each engineering majorwas introduced in the course to provide a basic understanding of various engineering disciplines.Instructions on project management and teamwork, professional development, andentrepreneurship training were also integrated in the course along with invited lectures fromindustry speakers. There were no prerequisites to the course, and therefore often
Engineering at Texas A&M University-Corpus Christi. Her research interests span applications of imaging modalities (hyperspectral, thermal, color) in engineering and science applications. She has been engaged in effective teaching and learning pedagogies, and is a proponent of engaged student learning through hands-on experiences. Her most recent work involves effective learning pedagogies using PBL in IoT applications.Dr. Lifford McLauchlan, Texas A&M University, Kingsville Dr. Lifford McLauchlan is an Associate Professor in the Electrical Engineering and Computer Science Department at Texas A&M University - Kingsville, and has also worked for Raytheon, Microvision, AT&T Bell Labs, and as an ONR
activities have shown promise. In one such case,students in a computational science course were given extra credit for including self-explanationof worked examples via comments in the code. The authors found that high performers weremore likely to connect their explanations to laws and principles, whereas low performers weremore likely to superficially describe code features [14]. Similarly, students in an introductory-level electrical engineering who were specifically instructed on drawing and prompted to do sowhen problem-solving scored slightly better on tests of conceptual understanding than those whowere not [15].In the present study, a generative learning technique was applied to the instruction of engineeringcalculation formatting. Students
Paper ID #38940Lessons Learned While Managing ”Raise Your Hand,” a MultidisciplinaryCollaboration between Engineering and the ArtsMary Ann WeitnauerDr. Jacqueline Rohde, Georgia Institute of Technology Jacqueline (Jacki) Rohde is the Assessment Coordinator in the School of Electrical and Computer Engi- neering at the Georgia Institute of Technology. Her interests are in sociocultural norms in engineering and the professional development of engineering students.Thomas Martin, Georgia Institute of Technology ©American Society for Engineering Education, 2023 Lessons learned while managing Raise
expertise and interests include process dynamics and control, fuel cell systems and thermal fluid engineering education. He has taught courses in system dynamics and control, process control, energy conversion, and thermal fluids laboratory. ©American Society for Engineering Education, 2024 Incorporating Sustainability into Engineering Curricula Through Project-Based Learning (PBL) Aaditya Khanal1, Prabha Sundaravadivel2 and Mohammad Rafe Biswas3 Jasper Department of Chemical Engineering1 Department of Electrical and Computer Engineering2 Department of Mechanical Engineering3 The University
interdisciplinary fields such asrobotics [4], in which a combination of knowledge and skills from various disciplines, includingelectrical engineering, mechanical engineering, computer science, and mathematics is required [5].PBL allows students to integrate this knowledge and develop skills such as communication, projectmanagement, and problem-solving, which are essential for success in their future careers.However, designing a project-based learning experience to teach control theory is a challenging taskdue to the rigorous mathematical concepts involved in the subject [6]. Those concepts are fundamen-tal to understanding and designing control systems, and a PBL framework should strike a balancebetween rigorous mathematical concepts and hands-on
. Kirschner, and J. Zambrano R., “From Cognitive Load Theory to Collaborative Cognitive Load Theory,” Intern. J. Comput.-Support. Collab. Learn, vol. 13, no. 2, pp. 213–233, Jun. 2018, doi: 10.1007/s11412-018-9277-y.[30] N. Debue and C. Van De Leemput, “What does germane load mean? An empirical contribution to the cognitive load theory,” Front. Psychol., vol. 5, Oct. 2014, doi: 10.3389/fpsyg.2014.01099.[31] P. R. Pintrich, D. A. F. Smith, T. Garcia, and W. J. Mckeachie, “Reliability and Predictive Validity of the Motivated Strategies for Learning Questionnaire (Mslq),” Educational and Psychological Measurement, vol. 53, no. 3, pp. 801–813, Sep. 1993, doi: 10.1177/0013164493053003024.[32] J. A. Litman and C. D. Spielberger
. Patrick, “Motivational influences on student participation in classroom learning activities,” Teach. Coll. Rec., vol. 106, no. 9, pp. 1759–1785, 2004.[11] C. Hsieh and D. Knudson, “STUDENTS’ PERCEPTION ON TEACHING STYLE AND LEARNING OUTCOME”.[12] D. B. Larkins, J. C. Moore, L. J. Rubbo, and L. R. Covington, “Application of the cognitive apprenticeship framework to a middle school robotics camp,” in Proceeding of the 44th ACM technical symposium on Computer science education, Denver Colorado USA: ACM, Mar. 2013, pp. 89–94. doi: 10.1145/2445196.2445226.[13] S. S. Guzey, T. J. Moore, M. Harwell, and M. Moreno, “STEM integration in middle school life science: Student learning and attitudes,” J. Sci. Educ. Technol., vol. 25, pp. 550
Paper ID #41079Innovative Mobility Program Series for Asian Students’ Equitable LearningOpportunities Through Interdisciplinary MethodologiesMr. Hiroyuki Ishizaki, Shibaura Institute of Technology Hiroyuki Ishizaki is a Visiting Professor at Shibaura Institute of Technology (SIT), a leading Japanese engineering school. His research interests include multidisciplinary teaching and learning, cross-cultural competence, collaborative online international (COIL), technopreneurship, and project/problem-based learning methods. As a Director of the Malaysia Office, he has been expatriated in Malaysia since 2014 and leading the
Paper ID #42084Work-in-Progress: Pursuing STEM/STEAM Certification as a Method forMaintaining an Integrated STEM/STEAM Learning EnvironmentTalia Capozzoli Kessler, Georgia Institute of Technology Talia Kessler, MSPP is a research associate at The Center for Education Integrating Science, Mathematics, and Computing (CEISMC) at Georgia Tech. As a research associate, she works on research and evaluation projects centering on K-12 STEM education. She has a Master’s degree in Public Policy from Georgia Tech and is currently studying towards a PhD in Educational Policy Studies at Georgia State University.Keisha Simmons, Georgia
developing this workforce than conventional engineeringinstruction. This paper describes a multidisciplinary degree program in the School ofEngineering at the University of Connecticut and key lessons from its creation.IntroductionThis paper explores the experience of creating a new multidisciplinary engineering (MDE) majorand its specializations contained within the University of Connecticut, a R1 level University inthe Northeastern United States. We describe what we learned in the process, including thechallenges we faced in the initial launching and implementation of its core curriculum and itsdifferent tracks. We then discuss lessons learned that can inform the development of a morediverse and open field of engineering.Beginning in the mid-2000s
assessment of thinking skills involved in complex problem-solving, with special focus on systems thinking, creative thinking, and metacognition. His doctoral research received several awards, including the Zeff Fellowship for Excelling First-year Ph.D. Students and the Miriam and Aaron Gutwirth Fellowship for Excelling Ph.D. Students. Rea is also the inventor of the SNAP Method® for structured creative problem-solving (US & UK trademarks).Dr. Aikaterini Bagiati, Massachusetts Institute of Technology Aikaterini (Katerina) Bagiati, Ph.D.: Having aquired a Diploma in Electrical Engineering and a Masters Degree in Advanced Computer and Communication Systems at the Aristotle University in Greece, and after having worked as
Paper ID #37772Creating Innovation for Interdisciplinary Robotics Workshops: SolvingIssues in the Online Project-Based Learnings in Engineering EducationProf. Hatsuko Yoshikubo, Shibaura Institute Of Technology, Japan Dr. Hatsuko Yoshikubo is currently an Associate Professor and a deputy director of the Innovative Global Program, a research-based full English degree engineering program at the College of Engineering at Shibaura Institute of Technology (SIT), Tokyo, Japan. She is a Principal Investigator of the Japan Society for the Promotion of Science Research Grants 20K02943 and the AY 2022 SIT Grants for Educational
Paper ID #41689Work-in-Progress: Seizing failure as an opportunity to learn: Undergraduateengineering students’ conceptions of failure and iterationDr. Sara A. Atwood, Elizabethtown College Dr. Sara A. Atwood is the Dean of the School of Engineering and Computer Science and Professor of Engineering at Elizabethtown College in Pennsylvania. She holds a BA and MS in Engineering Sciences from Dartmouth College, and PhD in Mechanical Engineering from U.C. Berkeley.Dr. Kelsey Scalaro, University of Nevada, Reno Kelsey is a recent Engineering Education PhD graduate from the University of Nevada, Reno. Her research focus is on
Education, A New Technology for Learning, information Science Reference, pp. 1–30, 2012.7. A. Eguchi, “Theories and Practices Behind Educational Robotics for All,” pp. 677–715, 2022.8. K. Berns, T. Braun, C. Hillenbrand, and T. Luksch, “Developing Climbing Robots for Education,” Computer Science, Education, Engineering, 2005.9. M. Sanders, “TEM, STEM Education, and STEMmania,” Technology Teacher, vol. 68, no. 4, pp. 20-26, 2009.10. T. Moore, M. Stohlmann, H. Wang, K. Tank, A. Glancy, and G. Roehrig, “Implementation and integration of engineering in K-12 STEM education,” in Engineering in Pre-College Settings, S. Purzer, J. Strobel, and M. Cardella, Eds. West Lafayette: Purdue University, 2014, pp. 35-60.11. R. W. Bybee, The
research focuses on exploring and understanding engineering learning environments. He harnesses these insights to propose solutions that encourage the creation of safe and inclusive educational environments conducive to learning, professional development, and innovation. His research interests include graduate student mentorship, faculty development, mental health and well-being, teamwork and group dynamics, and the design of project-based learning classes.Dr. David Gray, Virginia Polytechnic Institute and State University Dr. Gray receieved his B.S. in Electrical and Computer Engineering from Virginia Tech in 2000. He then earned a M.S. and a Ph.D. in Materials Science and Engineering from Virginia Tech in 2002 and 2010
Paper ID #44183Development and Impact of Research Efficacy in a Undergraduate Teaching-AssistantCertification ClassDr. Jamie R Gurganus, University of Maryland, Baltimore County Dr. Jamie Gurganus is a faculty member in the Engineering and Computing Education Program. She is the Associate Director STEMed Research in the College of Engineering and Information Technology (COEIT). She also serves as the Director for the Center for the Integration of Research, Teaching and Learning (CIRTL) in the graduate school. Her research is focused on solving problems relating to educating and developing engineers, teachers (future faculty
State University Mark Huerta is an Assistant Professor in the Department of Engineering Education at Virginia Tech. He earned his PhD in Engineering Education Systems & Design at Arizona State University and has a BS/MS in Biomedical Engineering. His research focuses on exploring and understanding engineering learning environments. He harnesses these insights to propose solutions that encourage the creation of safe and inclusive educational environments conducive to learning, professional development, and innovation. His research interests include graduate student mentorship, faculty development, mental health and well-being, teamwork and group dynamics, and the design of project-based learning classes.Dr. David
,some of which use ROS for connecting hardware in applied projects. Additionally, ROS canbe a main subject of courses at the undergraduate and graduate level for its utility in industryand example for learning about middleware in general, like understanding communication orsequencing [12].2.3 Challenges of using ROS in Undergraduate CurriculaThough learning how to use ROS has a significant learning curve, it is considered founda-tional for many applied roboticists and is often found in robotics job listings. Key limitationsin using ROS include the learning curve and the computational resources needed to run theprogram[13]. ROS was designed to run on Linux based systems, although options are de-scribed in detail in this paper. Streamlining
robot developers and researchers. Advanced control techniques and algorithmsinvolving computer vision and AI can be applied to robotic systems by integrating correspondingROS packages, rather than writing source code from scratch. Based on the author’s pastexperience, engineering students often felt reluctant to develop their robotic systems on the ROSplatform due to the unfamiliarity with Linux operating system and Python programming.Currently a mobile robotics course is offered as a technical elective course for the ComputerScience major at Biola University. It seems that the computer science students feel comfortableusing ROS as their learning and development platform.As an attempt to establish a ROS 2-based research platform using the same
computer-based instruction (CBI) systems, providing interactive learningexperiences through programmed instruction. This foundational phase laid the groundwork forthe future integration of AI in educational settings, incorporating adaptive feedback andindividualized instruction[2]. The following decades witnessed AI technologies gradually makingtheir way into classrooms, notably through intelligent tutoring systems (ITS) in the 1970s and1980s. These systems utilized AI algorithms for personalized instruction, adapting learningmaterials and pacing based on individual student performance. Another significant developmentduring this period was the use of natural language processing in language learning applications,enhancing the interactivity and
partner robot, which has dual gesture arms and utilize a smartphone as a core of the system. We plan todeploy this proposed system for actual CRI research and for learning effectiveness measurements.1. Introduction In this research project, we aim to develop a humanoid robot with double 'gesture-arms' which can be controlled bysmartphone, presenting a cost-effective approach to Child-Robot Interaction (CRI). Our interdisciplinary projectcombines robotics technology and CRI education, introducing the 4-degree-of-freedom (4-DOF), 12g gesture armdriven by shape memory alloy (SMA) actuators. Our robot possesses two of these arms and is set up for smartphone-based control, providing a versatile CRI research platform with high computational power and