, specifically within the elementary school context. Tyrine hopes to explore how Transformative SEL can be implemented to cultivate socially responsible engineers.Brianna D. Starling, Tufts University ©American Society for Engineering Education, 2023 Cellular Agriculture: An activity guideto support an engineering ethics impacts discussion in high school settings Overview Cellular agriculture is the emerging field of producing animal products from cell culture, rather than directly from animals. A multidisciplinary field, cellular agriculture
, multicultural ingenuity, and ethicalintegrity). Further, this framework argues that conscientious negotiation of risks and benefits forthe betterment and transformation of societies is underpinned by four reasoning quadrants(experiential reasoning, trade-offs reasoning, first-principles reasoning, and future reasoning),fluently examined through the core practice of multicultural ingenuity and ethical integrity. Thispaper details the theoretical foundations of the socially transformative framework and providesexamples of its pedagogical translations to guide pedagogy practices.IntroductionEngineering, as commonly understood, is the practical application of scientific and mathematicalprinciples [1], the creation of new products [2], and the procedures
understand how the secondary experienceand knowledge modulated their ability to adapt, cultivate purpose, understand engineeringconcepts, and academic goals.This paper presents a study investigating the effectiveness of an innovative Holistic Engineeringpedagogy for secondary and postsecondary engineering students that includes a novel HolisticDesign Thinking methodology. The approach emphasizes a holistic and transdisciplinaryphilosophy to engineering education, beginning with a foundation of knowledge on love,empathy, and ethics, and with a focus on engaging students’ emotions in the learning process.The paper reports eight years of qualitative results in teaching this experiential pedagogy tosecondary and postsecondary engineering students, with
. Engineering solutions candisproportionately impact—benefit or harm—certain populations. This differential impact cutsalong class and race lines, raising important ethical questions for engineers as they address thecriteria and constraints of stakeholders. As youth engage with engineering activities andcurricula, it is important that they consider these elements. The emergent field of engineering forsocial justice urges that decision-making related to engineering designs and solutions considertechnical, social, environmental, and ethical contexts (Claris & Riley, 2003; Leydens & Lucena,2018; Lucena, 2013; Nieusma & Riley, 2010; Riley, 2008). Situating engineering in suchcontexts can motivate learners and provide perspectives on the nature
instruction of specific lessons from Units 1 and 2of the e4usa curriculum. For this paper, Lessons 1 and 7 from Unit 1 and Lessons 1, 4, 6, and 7 from Unit2 were examined. These lessons emphasize the importance of engineering communication methods andthe continuous evolution of the definition of engineering and an engineer's role. They also highlightcollaboration within teams, addressing ethical considerations, understanding the broader applications ofengineering, and tackling societal challenges. A full description of the lessons, along with theirsubsequent learning outcomes and thread connections are detailed in Table 1.Table 1Overview of Analyzed Lessons from Units 1 and 2Unit and Name of
1 2 Manufacturing Fabrication 1 2 3 4 5 Material Classification Joining 1 Casting/Molding/Forming Separating/Machining 1 2 Conditioning/Finishing Safety 1 2 3 Quantitative Analysis Computational Thinking Computational Tools 3 Data Collection, Analysis, & Communication 1 2 3 4 System Analytics 1 2 Modeling & Simulation Professionalism Professional Ethics Workplace Behavior/Operations Honoring Intellectual Property Technological Impacts
practice areas in the engineering discipline Week 7 Comprehension of the role of engineering in society and identified issues in engineering practice in the discipline: ethics and the professional responsibility of an engineer to public safety; the impacts of engineering activity: economic, social, cultural, environmental, and sustainability Week 8 Engagement with selected knowledge in the research literature of the disciplineCurrent Engineering Education-Related Studies in SingaporeTo date, there are efforts to explore the different influences, levels of awareness, and learningstandards relevant to engineering education in Singapore. In research investigating the funds ofknowledge for first
potential usage in integrated STEM. Firstly, their competency using AI toolsappears to greatly influence their attitude toward AI-integrated STEM pedagogy. Second, theirperceptions of AI's effectiveness, utility, and ethics seem to significantly impact their willingnessto adopt AI for classroom usage. Lastly, research suggests that PSTs recognize both the benefits,like improving student engagement and personalized learning, and the challenges posed bytechnical difficulties or the complexity of interspersing these technologies in their STEMclassrooms. As such, teacher education related to meaningfully using AI tools is an importantfocus of integrating AI. Teachers must be skilled and confident in using AI tools in theirclassrooms, while also able to
and/or improving things [6]-[7]. In particular, wedraw upon Lucas and Hanson’s [7] habits of mind framework that identifies and describes sixengineering habits of mind and seven learning habits of mind for their potential to informinstructional practices and learning cultures across pre-kindergarten to post-secondary contexts.We used both habits of mind – engineering and learning – for what they both afforded. Forexample, learning habits of mind include Ethical Consideration, the concern for the impact ofengineering on people and the environment, which is not captured by engineering habits of mindbut remains a value important to the field of engineering [8-9].ASEE [10] has described HoM as one component that leads to the development of
review of existing engineering curriculum options, the authors selectedrelevant modules from the Engineering is Elementary (EiE) [1] program. Modules were selectedbased on alignment with CS&E, math, science, and literacy learning objectives and with theschool’s mission to cultivate confident, intellectual, and ethical girls who advance the world.This paper will report on one particular unit on chemical engineering that was used with the 2ndgrade class.In particular, we were interested in assessing the feasibility of adapting the EiE curricularresources to meet CS&E learning objectives, understanding the impact this type of lesson wouldhave on our students, and identifying connections with math, science, and literacy. The
technologyutilized among various education programs.1.2 Research problemsTo summarize the related work, we note that in most instances of AI education for high schoolstudents, an increased enthusiasm, interest in career in CS and data science, and learning werepositively impacted. But some topics are difficult to teach like societal implications of AI toolsand the ethics in AI. Thus, we recognize the following challenges with AI education at the highschool level: 1. Technical topics are often skipped entirely, briefly mentioned, or taught unsuccessfully in a passive learning style. 2. AI projects are often limited to image classification tasks or use game-fied interfaces. Natural language processing tasks like sentiment analysis from text
, cyber ethics, and digital ethics were also discussed. Each lesson included formative assessments togauge the students’ understanding of the content. Prior to the start of each lesson, students were promptedwith questions pertaining to the previous lesson to help students recall key topics. Throughout eachlesson, students engaged in various knowledge checks to ascertain whether they grasped ideas presentedduring instruction. Those knowledge checks included the following: ● Thought provoking prompts embedded at pivotal points in the lesson ● Online flashcards to aid in the retention of information ● Fun and interactive quizzes and polls to assess comprehension ● Exit tickets to ensure key points
, Think Like an Adversary, and Keep it Simple. The six cybersecurity concepts and topicsabout online safety, cyber ethics, and digital ethics were reinforced in the curriculum activities, as shownin Table 1. 5 Common Sense, https://www.commonsensemedia.org 6 CYBER.ORG, https://cyber.org6 Table I Camp curriculum overview incorporating the GenCyber Concepts and additional related cyber topicsCATEGOR TOPICS EXAMPLE ACTIVITIESYC1: Defense T1: IoT Network Security: What are the varying levels of - Instructor Presentationin Depth security? How are firewalls, antivirus software, VPNs used to - PBS game
, environmental impacts, and ethical issues. Students explore disciplines/careers. They design and solve real-world engineering problems, creating solutions with 3-D modeling software, hands-on prototyping equipment, programming software, and robotics. They use the engineering design process to solve problems in mechanical Principles of POE engineering, robotics, infrastructure, environmental sustainability, and Engineering product design/development. They use the APB approach to complete structured activities and open-ended projects/problems requiring
: ME manufacturing & supply chain (business); micro:bit processing signals from inputs & outputs (EngrTech) Goal: Develop a proposal for relocating microchip manufacturing to the US (business); Design lock to protect physical classified files (EngrTech) 9 Let the Chips Fall Where They May (7th – 10th, Geometry) ME Fuse: microchip manufacturing process Goal: Design an efficient layout for microchip dies on a silicon wafer 10 The Past, Present, and Future of Microelectronics (7th – 9th, Career Preparation) ME Fuse: ME products, careers, impact and importance Goal: Debate the use of ME from ethical, social, economic, and environmental perspectives 11 You Light Up
teaming; Engineering in Society, exploring the implication of engineeringsolutions on environmental, ethical, and social aspects of society; and Engineering Design,featuring an engineering design process. Each engineering design follows an engineering designprocess, including evaluation based on stakeholder analysis. The curriculum is designed to beoffered as a yearlong high school course. It consists of eight units, designed with the idea ofspiraling complexity. Concepts are introduced and are reinforced through later lessons andactivities, allowing increasing autonomy and creativity throughout the course. The first two unitsfocus on a true introduction to engineering, including social, ethical, and environmentalramifications of engineering
intelligence (AI) and Machine Learning (ML) are rapidly changing our civilization andwill be critical tools in many future careers. AI/ML can analyze large amounts of data sets in ashort time; it will support a lot of fields to solve problems in a highly efficient way. It isincreasingly important to introduce basic AI/ML concepts to students to build familiarity withthe technologies they will interact with and make decisions about. Ideally, all students graduatingfrom high school should have some understanding of AI, the ethical issues associated with AI,and the potential strengths and weaknesses of a society built on top of computer intelligence [3].Although AI is increasingly used to power instructional tools for K-12 education, AI conceptsare not
week for one period each on the same day.The grant developed curriculum for AI/Data Science and Computer Programming classes,created teacher instruction guides and resources for the classes, and remotely instructed theProgramming section using college mentors and grant staff.The goal of curriculum developed by the EQuIPD grant was to seamlessly tie concepts and real-world applications of AI with the practicality and creativity of computer programming. Studentswere taught a variety of problem-solving methods and design concepts, ethics, andresponsibilities as they relate to AI, conceptualization of AI processes and chatbot principles,Python programming basics, and construction of programs. These two classes worked alongsideeach other
design to the client Got GMOs? Evaluate the • Cells contain • Ethical and • Population from (Grades 6-8) efficacy of a DNA. practices uses a sample barrier that • Genes are of technology • Draw inferences reduces cross- located in • Technology about a contamination DNA. used in population from of non-GMO • Genes carry science and the data corn fields from information engineering. • Variation in GMO
. Avery and K. A. Kassam, “Phronesis: Children's local rural knowledge of science and engineering.” Journal of Research in Rural Education, vol. 26, no. 2, p. 1, 2011.[10] P. W. U. Chinn, “Developing a Sense of Place and an environmental ethic: A transformative role for Hawaiian/Indigenous Science in teacher education?,” in Honoring Our Heritage: Culturally Appropriate Approaches for Teaching Indigenous Students, J. Reyhner and W. S. G. L. Lockard (Eds.), 2011, pp. 75–95.[11] T. Kelley and J.G. Knowles, “A conceptual framework for integrated STEM education.” International Journal of STEM Education, vol. 3, no. 11, p. 1-11, 2016.[12] K. Kricorian, M. Seu, D. Lopez, E. Ureta, and O. Equils, “Factors influencing
Knowledge 3 EIPCK affects four types of teacher knowledge (domains) which were described asfollows: A. Engineering Content Knowledge refers to teachers’ knowledge of engineeringconcepts, engineering skills/practices, and engineering knowledge. The engineering conceptsinclude concepts such as constraints, systems, optimization, trade-offs, engineering analysis,functionality, and efficiency (Hynes, 2009; NRC, 2012; NGSS Lead States, 2013). engineeringskills/practices include systems thinking, creativity, optimism, collaboration, communication,persistence, and ethical consideration/conscientiousness (NAE, 2010, 2019), skills in specifyingrequirements, decomposing systems, generating
any.Analysis of the data would yield an informative conclusion of effects of the AI intervention inengagement and learning.AcknowledgementThis research was supported by the National Science Foundation’s Innovative TechnologyExperiences for Students and Teachers (ITEST) program under award numbers DRL–1949384and DRL–1949493.References[1]Association for the Advancement of Artificial Intelligence, and Computer Science TeachersAssociation, “Advisory Group Promotes ‘5 Big Ideas in AI’ for K-12 Schools”, June 7, 2023.[Online]. Available: http://ai4k12.org/ Accessed Dec. 26, 2023].[2] H. Zhang, I. Lee, S. Ali, D. DiPaola, Y. Cheng, and C. Breazeal, “Integrating Ethics andCareer Futures with Technical Learning to Promote AI Literacy for Middle School Students
engineering self-efficacy levels.Data Analysis Pre-test and post-test scores on the TESS questionnaire were compared to determinewhether there were significant changes in participants' engineering self-efficacy after completingthe course. Statistical analysis techniques, such as paired t-tests and ANOVA, were employed toanalyze the data and identify any significant differences. Moreover, the relative percent gainedwas also calculated by comparing the difference in mean scores between consecutive years andexpressing it as a percentage of the initial mean score for each construct. This approach allowedfor a standardized comparison of improvement rates across different constructs and over time. This study adhered to ethical guidelines
accident litigation across the U.S. He can be contacted at safesci@sbcglobal.net. ©American Society for Engineering Education, 2023Safety Issues and Accidents Associated with P-12 Pre-Engineering and Engineering Design Courses: Results from a National Study (Fundamental) AbstractDeveloping and constructing solutions for engineering design challenges can pose inherent legaland ethical safety responsibilities that school systems and educators cannot ignore. While safetyconcepts are emphasized throughout P-12 engineering education standards [1,2], studies havedocumented a continued lack of safety in regard to awareness, training, supervision
breadth and depth of engineering-related topics. These content areas were offered by the faculty mentor’s ability to provide bothacademic and financial support for the project. Collaborations with local universities/partners arealso evident. While BR can support research projects in house, collaborations for clinical trials(e.g., the virtual reality calm/sensory room) were instrumental to test new technologies inmeaningful and ethical way.Discussion and Future WorkBaylor Research consists of three modules designed to train students in all facets of scientificresearch. Starting in Engineering Design, allowing students to engage in project-based skillbuilding in a hybrid flipped classroom has shown a perceived growth in several key areas (Table2
. Gorman, “Using Case Studies to Teach Engineering Design and Ethics,” in American Society for Engineering Education Annual Conference & Exposition, Jun. 2004, p. 9.1369. 1-9.1369. 7.[15] E. Andersen and B. Schiano, Teaching with cases: a practical guide. Boston, Massachusetts: Harvard Business School Publishing, 2014.[16] K. Hoag, J. Lillie, and R. Hoppe, “Piloting case-based instruction in a didactic clinical immunology course.,” Clin. Lab. Sci. J. Am. Soc. Med. Technol., vol. 18, no. 4, pp. 213– 220, Fall 2005.[17] A. A. Tawfik, W. Hung, and P. J. Giabbanelli, “Comparing How Different Inquiry-based Approaches Impact Learning Outcomes,” Interdiscip. J. Probl.-Based Learn., vol. 14, no. 1, Jun. 2020, doi: 10.14434
. Copies of the patents from the Inventor Videos were also added because students couldrelate to them, having seen the inventor’s story.The quality of the students’ experience working with patents also subtly improved. One exampleis from their final project. Students must watch an episode of the series “How it’s Made” andpresent a 5–10-minute slide show describing how the video addressed five topics from the year’slessons: engineering design and systems, economics, intellectual property, ethics andsustainability, and entrepreneurship. Early on, there was only one standout presentation using IPwhere the student’s slides on electric guitars were almost entirely pictures, including severalshots of early patent drawings leading up to the Les Paul 1955
, 2(6), 656-664.Clark, S. L., Dyar, C., Inman, E. M., Maung, N., & London, B. (2021). Women’s career confidence in a fixed, sexist STEM environment. International Journal of STEM Education, 8(1). https://doi.org/10.1186/s40594-021-00313-zDauphinee, E. (2010). The Ethics of Autoethnography. Review of International Studies 36(3): 799–818.Ellis, C., Adams, T. E., & Bochner, A. P. (2011). Autoethnography: an overview. Historical social research, 273-290.Estrada, M., Burnett, M., Campbell, A. G., Campbell, P. B., Denetclaw, W. F., Gutiérrez, C. G., ... & Zavala, M. (2016). Improving underrepresented minority student persistence in STEM. CBE—Life Sciences Education, 15(3), es5.Gilbert, P. (2015
flexible robots. First edition. San Francisco, CA: Maker Media, Inc; 2018.25. Raji ID, Buolamwini J. Actionable Auditing: Investigating the Impact of Publicly NamingBiased Performance Results of Commercial AI Products. In: Proceedings of the 2019AAAI/ACM Conference on AI, Ethics, and Society. Honolulu HI USA: ACM; 2019. p. 429–35.26. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3:77–101.27. Medina D, Kim J, Ohk K, Kisantear D, Jimenez J, Tian G, et al. Pre-College Robotics: BestPractices for Adapting Research to Outreach. In: Proceedings of the American Society forEngineering Education (ASEE) Annual Conference and Exposition. Baltimore , Maryland.;2023.
ethical dilemmas, and students had to dealwith factors such as working to deadlines, resolving disagreements, and continuously refiningsolutions. The author found that the “hands-on” and “real-world” situations that the role-playsituation afforded were particularly pedagogically valuable for engineering education students.In the realm of a computer systems analysis and design course in a New Zealand bachelorprogram, Erturk (2015) explored two class sessions that involved students producing Data FlowDiagrams and Activity Diagrams, where the intention was to demonstrate their analysis of asoftware “case” by constructing, reviewing, critiquing, and reflecting on the diagrams. The role-play dimension required students to explain and “act out” their