to as the digitalrevolution. Arguably the adoption of digital technologies, integration of robotics and automationare some of the key drivers of the third-industrial revolution. Although the third-industrialrevolution is still evolving, the invention of the internet and widespread use of digitaltechnologies and satellite communication systems fueled an entirely new period in the industrialrevolution. This new period which closely overlaps with the digital revolution is the fourthindustrial revolution, commonly came to be known as Industry 4.0 (I4.0). Figure 1 shows atimeline of evolution of industrial revolution.The term Industry 4.0 (I4.0) was first coined by the German government in 2011 as a part oftheir High-Tech Strategy for Germany [8
intelligence. Technology-enabledlearning aims to improve the effectiveness and efficiency of education by providing newopportunities for engagement, personalization, and collaboration [1]. The use of advancedtechnologies in education has grown dramatically over the past few years, with LearningManagement System (LMS), social media, interactive simulations, and game–based learningplatforms. Integrating educational technologies in training programme provides the facility torecord the learning process in the form of data. The potential aspect of data collection on differentaspects of learning engagement and experiences have increased the usage of technology. Toprovide a better learning experience through technology, the domain of learning analytics can
of Color experiences as contentious and destructive which impede a conducive learningatmosphere and feed into the immense student of Color attrition rates [8]. Studies on racialclimates at PWIs suggested the issues were deep-seated and influential in perpetuating theadverse encounters for students of Color and persuading PWIs’ values. To much chagrin, theseconditions preserve the lack of multicultural policies and substantive practices which saturatecampus culture and translate into the classroom [8]. Classroom curriculum has little to nopriority in integrating cultural representation based on students of Color experiences in priorstudies [8]. Though academic institutions attempt to adapt social justice concepts as a guide,many educators
Paper ID #37080Reflection on Design Teaching Before, During and After PandemicDr. Reem Roufail, University of Waterloo Reem Roufail is a materials engineer that is interested in engineering teaching and applying new technolo- gies to engage students in class. Reem believes that learning is a continuous process that does not end with earning a degree. This explains her willingness to explore different fields of engineering as opportunities to learn. She explored mechanical engineering, environmental engineering, petroleum engineering, sys- tems design, and biomedical engineering in her career paths from an academic
courses from different disciplines and is an active volunteer in STEM outreach activities.Hector Palala, University of Nebraska, Lincoln H´ector de Jes´us Palala Mart´ınez is a doctoral student in Curriculum Studies and new technologies in the Department of Teaching, Learning and Teacher Education at the University of Nebraska-Lincoln. H´ector teaches courses related to the integration of technology for future high school teachers as well as bilingual education and in all his classes he promotes justice, dignity and human rights. Previously, he was a professor of education at the Universidad de San Carlos in Guatemala, and before that, an elementary teacher. His research centers on the intersection of bilingual
theseopportunities to students.To help better prepare students for work in the academy, self-efficacy [2] plays an important rolein determining their confidence to carry out research. This means that students must havepositive perceptions of their abilities and capabilities in order to achieve success within the REUprogram. Self-efficacy also includes recovering from challenges and perceived failure in order tolearn and improve in their capabilities and confidence. Overcoming these challenges is key tohelping students grow in their self-efficacy around research activities such as preparing andpresenting research forums and poster sessions, working with experienced faculty to conductresearch, and integrating as a member of the research community.This paper
cBzRKI%3D (accessed Nov. 09, 2022).[17] R. Yonemura and D. Wilson, “Exploring Barriers in the Engineering Workplace: Hostile, Unsupportive, and Otherwise Chilly Conditions American Society for Engineering Education,” 2016. Accessed: Nov. 11, 2022. [Online]. Available: https://monolith.asee.org/public/conferences/64/papers/16882/view[18] V. L. Vignoles, S. J. Schwartz, and K. Luyckx, “Introduction: Toward an Integrative View of Identity,” in Handbook of Identity Theory and Research, S. J. Schwartz, K. Luyckx, and V. L. Vignoles, Eds., New York, NY: Springer, 2011, pp. 1–27. doi: 10.1007/978-1-4419-7988-9_1.[19] J. P. Gee, “Chapter 3 : Identity as an Analytic Lens for Research in Education,” Rev. Res. Educ., vol. 25, no. 1, pp
, 2003.[4] A. Shekar, “Projects-based learning in engineering design education: sharing best practices,”2014 ASEE Annual Conference & Exposition, Indianapolis, IN, USA, June 15-18, 2014.[Online]Available: https://peer.asee.org/22949. [Accessed February 12, 2023].[5] W. L. Stone and H. Jack, “Project-based learning integrating engineering technology andengineering,” 2017 ASEE Annual Conference & Exposition, Columbus, OH, USA, June 24-28,2017. [Online] Available: https://peer.asee.org/28770. [Accessed February 12, 2023].[6] L. Albers and L. Bottomly, “The impact of actively based learning, a new instructionalmethod, in an existing mechanical engineering curriculum for fluid mechanics,” 2011 ASEEAnnual Conference & Exposition, Vancouver
not require a lot of effort to identify parts of theproblem as in interpreting engineering problems. Different kinds of symbolic information requiredifferent kinds of processing and place different demands on the students [30]. Similarly,different success criteria for solving mathematics and engineering problem may require adifferent level of evaluating strategies. Solving an engineering problem often requires anunderstanding of the context, understanding the issues and ways to evaluate the process. Studentsneed to identify more involved criteria and constraints in solving engineering problems.The findings of the study may carry implications for teaching and learning improvement in anacademic setting. For example, integrating group
betweennegotiating tasks, comparing assumptions, and aiding each other in understanding courseconcepts. Implications of this work include forming a better understanding of how students makedecisions, judgments and build knowledge when working together on an ill-defined modelingproblem. Similarly, the results may assist professors in iterating on assignment design to furtherengage students in knowledge creating and engineering judgment practices.IntroductionIndustry engineers are often tasked with solving ill-defined problems in a group with fellowengineers [1], [2]. Although engineering curriculums are constructed to prepare students forindustry, there is a documented disconnect between the ways that many students currently solveengineering problems in
U.S. are finally heading the many calls to include sociotechnicalthinking–grappling with issues of power, history, and culture–throughout the undergraduateengineering curriculum. While non-purely-technical topics have historically been relegated toseparate courses, universities are now working to integrate sociotechnical content in coursespreviously considered to be purely technical. Researchers have varying motivations for thisfocus, including to better prepare students for engineering practice, which is inherentlysociotechnical [1]; to increase the sense of belonging of historically excluded students, who aremore likely to be interested in the social aspects [2]; and to create better societal outcomes [3-5].Attempts to disrupt the social
Paper ID #37873Developing a New Course in Design, Construction, and SocietyDr. Luciana Debs, Purdue University Luciana Debs, is an Assistant Professor of Construction Management in the School Construction Man- agement Technology at Purdue University. She received her PhD from Purdue University Main Campus, her MS from the Technical Research Institute of Sao Paulo. Her current research includes the technol- ogy and teaching within design and construction and the impact of Construction and Education 4.0 in undergraduate curriculum.Dr. Claudio Martani, Purdue University Claudio Martani is Assistant Professor at the
the “green” education to their future professional career.References [1] “FACT SHEET: President Biden Sets 2030 Greenhouse Gas Pollution Reduction Target Aimed at CreatingGood-Paying Union Jobs and Securing U.S. Leadership on Clean Energy Technologies”, The white house, April22, 2021. https://www.whitehouse.gov/briefing-room/statements-releases/2021/04/22/fact-sheet-president-biden-sets-2030-greenhouse-gas-pollution-reduction-target-aimed-at-creating-good-paying-union-jobs-and-securing-u-s-leadership-on-clean-energy-technologies/.[2] Leifler, O., Dahlin, J., (2020), Curriculum integration of sustainability in engineering education - anational study of programme director perspectives, International Journal of Sustainability in HigherEducation
Paper ID #39566Implementation of Actionable Gamification Design Framework in Machin-ingTrainingKrzysztof Kamil Jarosz, Rochester Institute of Technology Graduate Research Assistant at RIT SMRGTrisha Gard-Thompson, Rochester Institute of Technology (COE)Chao Peng, Rochester Institute of Technology Dr. Chao Peng is an Associate Professor of the School of Interactive Games and Media in the Golisano College of Computing and Information Sciences at Rochester Institute of Technology. His research areas include but are not limited to virtual reality, gamification, high-performance graphics, and 3D interaction.Dr. Rui Liu, Rochester
of Michigan Shanna Daly is an Associate Professor in Mechanical Engineering at the University of Michigan. She has a B.E. in Chemical Engineering from the University of Dayton and a Ph.D. in Engineering Education from Purdue University.Dr. Kathleen H. Sienko, University of Michigan Kathleen H. Sienko is an Arthur F. Thurnau Professor of Mechanical Engineering at the University of Michigan (UM). She earned her Ph.D. in 2007 in Medical Engineering and Bioastronautics from the Harvard-MIT Division of Health Science and Technology, and holds an S.M. in Aeronautics & Astronau- tics from MIT and a B.S. in Materials Engineering from the University of Kentucky. She co-founded the UM Center for Socially Engaged
-making and agency in migration,and the ways in which their positive identity development rested on having access and thereforecontrol over paid, and both career- and professional identity-building work opportunities.According to authors in this review, the instability displaced students experience as they developtheir professional identities was even more threatening when students are enrolled inengineering. This was primarily due to the culture of engineering and its focus on efficiency andrigor in the curriculum [31], evidenced by an “efficient and cost-effective transfer of a certainamount of content in a lockstep process” [77] (p. 258). Engineering plans of study are designedfor students in inherently stable situations, and for students like
CHE LabAbstractA multi-dimensional survey was created and administered to better understand the change inself-perceived and actual student abilities in a CHE laboratory course between two differentstudent cohorts. One cohort experienced a traditional lab structure with a companion face-to-facelecture course (N=47), and the other cohort included pre-lab modules integrated with in-labactivities that served as intentional scaffolding for the student learning experience (N=18). Theoverall study was motivated by the desire to understand the impact curriculum revisions have onstudent experience and abilities, with the goal to improve the educational experience usingevidence-based practices. The guiding research questions driving this facet of the
Methods, and First Year Programs divisions. In these groups, he helps deliver engineering education conferences, webinars, and certificate programs. He leads teams accrediting engineering degrees as an Engineering Area Commissioner in ABET. IEEE elevated him to Fellow for contributions to global online engineering education. And, the Interna- tional Society for Engineering Education bestowed International Engineering Educator Honoris Causa for outstanding contributions in engineering education.Dr. Deborah Anne Trytten, University of Oklahoma Dr. Deborah A. Trytten is a Professor of Computer Science and Womens’ and Gender Studies at the University of Oklahoma. Her main research focus is diversity in engineering
aptitude [2]. When community service is integrated into a school’s curriculum, it hasbeen found to increase students’ enjoyment of learning, academic motivation, and performance[2-3]. In adults, reports have shown that volunteering improves physical and mental health,boosts self-esteem, and increases overall happiness [4]. Students who support communityengagement initiatives such as volunteering related to their discipline, gain applicable experienceand advocate for their careers [5].Service learning is one type of community service in which projects are assigned within astudent’s curriculum [6]. Within the fields of Science, Technology, Engineering, andMathematics (STEM), [7] research has been conducted on how to improve student retention
approaches have demonstrated that students who utilize a wide range offactors in their consideration of a complex problem tended to produce better solutions.Humanitarian engineering has proven to be an effective approach to instilling students with theneed to consider multiple complex factors in solving global problems. Humanitarian engineersdevelop solutions that provide access to basic human needs and enhances quality of life [11-12]. The United Nations Millennium Development goals and the current SustainableDevelopment agenda have identified accessible clean water, shelter, waste disposal, health,and well-being for improvement in developing countries (www.undp.org). By integratinghumanitarian engineering projects into an engineering curriculum
,” William Davidson Inst. Univ. Mich. Artic. Ser., 2019, doi: 10.2139/ssrn.3393152.[3] N. M. Rodriguez, G. Burleson, J. C. Linnes, and K. Sienko, “Thinking Beyond the Device: An Overview of Human- and Equity-Centered Approaches for Improved Health Technology Design,” Annu. Rev. Biomed. Eng., vol. 25, no. 1, p. null, 2023, doi: 10.1146/annurev-bioeng-081922-024834.[4] K. Otto and K. Wood, Product Design Techniques in Reverse Engineering and New Product Development. Upper Saddle River, NJ: Prentice Hall, 2001.[5] S. Jagtap, “Key guidelines for designing integrated solutions to support development of marginalised societies,” J. Clean. Prod., vol. 219, pp. 148–165, 2019, doi: 10.1016/j.jclepro.2019.01.340.[6] M. J. Coulentianos, I
in carrying out the experiment of thesituation worked on in class. Finally, students, working in groups, carry out theexperimentation and reflect on it at the end. This reflection occurs in their working groups.The modified ILD combines the theoretical class (mainly exposition by the instructor) withthe experimental class to offer students an integrative experience. This study involved 47students from two groups of a first-year university course in acoustical physics.Applying the modified ILD methodology, a qualitative study was conducted analyzing thestudents' responses to the guides and their conclusions. This study presents the results of theanalysis with a focus on determining the students' scientific skills in obtaining data
completed; and thecategories of the students’ institutions (e.g. research universities vs. teaching universities vs.community colleges).References[1] K. Baier, C. Hendricks, W. Gorden, J. E. Hendricks and L. Cochran, “College students'textbook reading, or not,” in American Reading Forum in Yearbook 31, pp. 385-402, 2011.[2] M. A. Clump, H. Bauer, and C. Bradley, “The extent to which psychology students readtextbooks: A multiple class analysis of reading across the psychology curriculum,” J. Instr.Psychol., vol. 31, no. 3, pp. 227-232, 2004.[3] T. Berry, L. Cook, N. Hill, and K. Stevens. “An exploratory analysis of textbook usage andstudy habits: Misperceptions and barriers to success,” Coll. Teach., vol. 59, no. 1, pp. 31-39,2010.[4] B. Skromme and
Paper ID #38406Experimental Self-Efficacy and Troubleshooting Ability in a ChemicalEngineering LaboratoryCaroline Crockett, University of Virginia Caroline Crockett is an Assistant Professor of Electrical and Computer Engineering in the School of Engi- neering and Applied Sciences at the University of Virginia. She received a B.S. in Electrical Engineering from the University of Virginia and a Ph.D. in Electrical Engineering from the University of Michigan. Her educational research interests include conceptual understanding of electrical engineering concepts and assessing the impact of curriculum changes.Dr. George Prpich
precedent analysis and other influences are integrated with the students’ own creative process, this influence and process should be directly recognized by the student and discussed with studio critics during the process.Generating AI ArtThis section documents the steps required and the processes behind generating AI art ‘in thestyle of’ a designer for a generalized building. LAION-5B is the dataset provider. Midjourney isthe AI text-to-image algorithm generator. Discord is an instant messaging application with anembedded bot that communicates with the user through prompt commands.How the Diffusion Model WorksThe AI art process requires a web crawler, dataset of images and associated text descriptions, adeep learning algorithm
, which considers how individuals’ neurocognitive variations contribute to humanecosystems to support persistence and adaptation. This approach provides a framework forviewing neurodiversity as an integral part of human adaptation and suggests that the inclusion ofneurodivergent individuals in STEM fields may enhance our collective potential for innovationfor the benefit of society [39]. We also take a strengths-based approach that emphasizes theassets related to neurodiversity, while acknowledging individual challenges and questioning therigid conceptualizations of “normality” [40].Researcher Perspectives/PositionalityOur motivation and approach to this work is shaped by the personal experiences of severalauthors with ADHD and/or dyslexia, as
worked in industry, leading the design and development of Texas Instruments’ TI-Navigator system (2001-2006). He has also been a classroom teacher, at middle school, high school, and community college levels. Corey holds degrees in Pure Mathematics (MS), English Literature (MA), and Mathematics Education (PhD).Dr. Hyunyi Jung, University of Florida Hyunyi Jung is an assistant professor of mathematics education at the University of Florida. Her research focuses on the learning and teaching of mathematics as a humanizing practice. She cares about students’ authentic mathematics learning experiences in safe spaces and has devoted her career to working with students and teachers to enact and study mathematical modeling
the brain utilizedfor a task vary depending on the subject’s expertise or field of study. The study outlines thedifferences in the brain regions used by mechanical engineers from those used by architects [2].Another crucial factor to consider is the motivation of the students toward these designexperiences, especially throughout the curriculum. Research on student motivation has proventhe dynamic nature of motivation, even over a short time. Another study has shown that essentialmotivation factors also vary with the study year the student is currently enrolled in [3].Additionally, the influence of the presentation of problems in design projects is an importantaspect that educators may consider. In a focused investigation, Gero [4] compared
Paper ID #39291Analyzing the Needs of Engineering Teaching Assistants: Examining HiddenDeficit IdeasDr. Karina Ivette Vielma, The University of Texas, San Antonio Dr. Karina I. Vielma is a first-generation college student who dreamed big. As the eldest of five children, Dr. Vielma became very resourceful, attributing her skills to growing up in poverty. Her parents had high expectations for school and this prepareDr. Joel Alejandro Mejia, The University of Texas, San Antonio Dr. Joel Alejandro (Alex) Mejia is an Associate Professor with joint appointment in the Department of Biomedical and Chemical Engineering and the
Paper ID #39681Common Metrics: Lessons from Building a Collaborative Process for theExamination of State-level K–12 Computer Science Education DataRebecca Zarch, SageFox Consulting Group Rebecca Zarch is an evaluator and a director of SageFox Consulting Group. She has spent nearly 20 years evaluating and researching projects in STEM education from K-12 through graduate programs.Sarah T. DuntonJayce R. Warner, University of Texas, AustinMr. Jeffrey XavierJoshua Childs, University of Texas, AustinDr. Alan Peterfreund, SAGE ©American Society for Engineering Education, 2023 Common Metrics: Lessons from