, 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
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
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
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
, 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
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
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
. 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
. Usprech has worked to incorporate hands on cellular/tissue engineering design into the SBME undergraduate curriculum and teaches courses in professionalism and ethics, and engineering and design.Prof. Karen C. Cheung, University of British Columbia Karen Cheung received her B.S. and PhD. degrees in Bioengineering from the University of California, ´ Berkeley. She did her postdoctoral work in microtechnologies at the Ecole Polytechnique F´ed´erale de Lausanne, Switzerland. She is a Professor in the Department of Electrical & Computer Engineering and the School of Biomedical Engineering at the University of British Columbia.Dr. Agnes Germaine
, collaboratingwith industry partners and government agencies to stay at the forefront of technological advancementsand threats. The center also provides mentorship, internships and scholarships to undergraduate andgraduate students, in addition to opportunities and assistance with achieving post-graduate degrees inembedded systems or cybersecurity (CAP Center, n.d). CEAMLS engages in research, education, andoutreach efforts to address ethical considerations and mitigate biases in these technologies, contributing toa more equitable and just use of AI and machine learning systems (CEAMLS, n.d). Both centers aredeeply involved in cultivating the next generation of engineers through K - 12 school partnerships,seminars, workshops and summer camps. The CAP
. Bennett, “Using narratives to evoke empathy and support girls’ engagement in engineering, Connected Science Learning, vol. 3, 2020.[34] P. S. Lottero-Perdue and J. Settlage, “Eqitizing engineering education by valuing children’s assets: Including empathy and an ethic of care when considering trad-offs after design failures,” Journal of Pre-College Engineering Education Research, vol. 11, Article 4, 2021.[35] E. Shokeen, “Understanding learning and sketching experiences of children involved in STEM design,” Ph.D dissertation, College of Information Studies, University of Maryland – College Park, 2023.[36] C. L. Smith, “Bootstrapping processes in the development of students’ commonsense matter theories: using analogical
with her students, inviting community members whowere impacted (many of her students’ relatives) to come present to the class. As a result, the fourth-grade students engaged in the engineering design process to construct and test dam designs withthe community context in mind, grappled with the ethics of engineering, and offered alternativesolutions. This example demonstrates the power of connecting an engineering task to place, localhistory, and community and cultural contexts to increase relevance and importance for students.Other CRED tasks developed by teachers included areas of interest such as: designing a filtrationsystem to improve indoor air quality, developing a severe weather app to be used by teen drivers,creating a model of a