Paper ID #45167Technology and Society: Incorporating ethics, inclusion, and societal understandinginto computer and technology and engineering education curriculum design.Dr. Carrie Prior, Excelsior University Carrie Prior is the Associate Dean of the School of Technology at Excelsior University. In this role, she leads the school and contributes to the College’s leadership team, fostering a culture of innovation while supporting the strategic and operational direction of academic programs. Before joining Excelsior, Carrie served as a senior international officer in both public and private higher education settings. She is
Next Leaders Academy:Ethical AI Camp2024 RecapIn June 2024, the Gaskins Foundation hosted a pilot camp title “NextLeaders Academy: Ethical AI Camp” for high school students in theGreater Cincinnati area. by Delano White 1 Camp Overview June 8-12, 2024 Location: University of Cincinnati Digital Futures Building Target Age: 9-12 grades Focus: Exploring ethical considerations in the development and application of AIThe Digital Futures is part of the University of theCincinnati. Housed within the Cincinnati InnovationDistrict, the building houses research labs, co-working spaces, meeting rooms, and otheramenities to foster creativity and growth in the
Engineering Education, 2025 Project-Based Learning and the AI4K12 Framework in High School AI Curriculum: A Systematic ReviewAbstract— This systematic literature review investigates how Project-Based Learning (PBL) andthe AI4K12 Five Big Ideas framework enhance high school students' AI literacy, includingfunctionality, application, and ethics. Six peer-reviewed empirical studies were synthesized toaddress four research questions: the observed learning outcomes and challenges of high schoolAI education, the use of PBL pedagogy, and the inclusion of the AI4K12 Five Big Ideas.The purpose of this study is to explore effective methods for integrating AI literacy into existinghigh school curricula. This urgency stems
focused on promoting diversity in the next generation ofneuroengineers to perform convergent science by integrating the latest advanced in neuroscience,engineering, and computer science in an ethical way. NeuralStorm promotes diversity andconvergent science by integrating multiple programs on campus, with core members beingneuroscience, psychology, biomedical engineering, computer science, mechanical and aerospaceengineering, and electrical and computer engineering. The program has since enrolled 16 fundedPh.D. student fellows, of whom 8 are women and 3 are underrepresented minorities. Everystudent who is interested in neuroengineering can register as an unfunded trainee and attend theevents organized by NeuralStorm. An additional 77 Ph.D
while also addressing the systemicinequalities in the STEM ecosystem.Theoretical FrameworkThe theoretical framework that underlies this research integrates several concepts and theories thatare necessary to contextualize the challenges faced by racially underrepresented students in STEMentrepreneurship. We place a special focus on concepts that shed light on the motivating factorsthat would lead a STEM entrepreneur to take interest in using their knowledge to address racialinequities and create positive social change in their communities.The central concept in this framework is Equity Ethics, developed and created by Dr. Ebony O.McGee. Equity Ethics is described as one’s principled concern for racial and social justice as wellas the well-being
transference learning, detailing its components and illustratingits integration of adaptive feedback with real-world experiences. Next, we discuss the outcomes ofa pilot study evaluating the model’s effectiveness, focusing on metrics such as latency, accuracy,and learner engagement. Finally, we summarize the findings and propose directions for futureresearch, emphasizing scalability, expanded modalities, and ethical considerations in AI-driveneducational solutions.Literature ReviewArtificial intelligence has been increasingly applied in educational settings to develop IntelligentTutoring Systems (ITS) and Adaptive Learning Systems (ALS). Early work by [1] and [2] demon-strated that personalized instruction could improve user achievement by tailoring
sustainability and its incorporation into engineering curricula and engineeringdesign are of paramount importance across all engineering disciplines due to several factors,such as environmental protection, resource management, economic benefits, innovation/competitiveness, and social responsibility. Furthermore, with the increased focus onaccreditation criteria emphasizing engineering ethics and professional responsibilities across allfour ABET commissions, the topic of sustainability has been considered an essential addition tothe engineering technology curriculum. The engineering department at Cuyahoga CommunityCollege (Tri-C) initiated the process to determine how sustainability can be included in thecurriculum. The process was executed in the
correlate with public trust andacceptance of AVs, with wealthier regions showing higher adoption rates compared tolow-income areas. This disparity raises ethical concerns regarding equitable access to AVtechnology and the risk of widening socio-economic gaps through uneven AV deployment.To address these challenges, this research proposes a flexible framework for AV deploymentthat is adaptable across regions with varied infrastructure and socio-economic profiles. Thisframework underscores the importance of interdisciplinary collaboration, where engineersmust work alongside policymakers, urban planners, and data scientists to ensure that AVs canoperate reliably across both structured and unstructured environments. By fostering skills thatallow future
, with their confidence rising from 3.13 to 4.13 .Additionally, confidence in citing authorship increased from 3.75 to 4.25, indicating progress inunderstanding proper citation practices.Research Enjoyment and Challenges. While students maintained a consistent level of confidencein their enjoyment of research and the excitement of the process, with both responses remaining at4. 50 on both surveys, there was a slight increase in their reported frustration during research.Confidence in handling frustration during research rose from 2.00 in the pre-survey to 2.50 in thepost-survey, suggesting that while research might have become more challenging, students gainedmore resilience in the process.Technical and Scientific Tools, Ethics, and Graduate
). Addressing these challenges requiresstrategic planning, leadership, ongoing training, ethical decision making, and a genuine effort tocreate an inclusive culture. The purpose of this paper is to highlight some of the strategies usedin building Wake Forest Engineering and what has now become one of the most diverseacademic units on the Wake Forest University (WFU) campus and the highest ranked (US NewsReport 2023) academic unit on campus. Despite WFU being a predominantly white institution,Wake Forest Engineering as one of the newest academic units on campus adopted hiringpractices that enabled the hiring of a very diverse engineering faculty team – over 50% femalefaculty, 25% racial and ethnic diversity, engineering disciplinary diversity, etc
Certificate to MS for students interested in AI ● Coordinating mentoring and support activities to build engagement ● Study around professional identity development ● Thinking about partnerships with different stakeholdersAs those two pathways that were discussed in the previous slide originated from a 9-credit College Credit Certificate Artificial Intelligence Awareness shown here. TheCCC includes AI Thinking, AI & Ethics, and one elective (Applied AI in Business orIntroduction to Robotics).For the purposes of this study, the data that was collected for this study includes theAI Thinking, AI Business, and AI Ethics course. We plan on doing data collection ofthose who have taken the Introduction to Robotics as well that will be included
, emphasize the importance ofintegrating AI ethics into educational curricula. This study builds on these methodologies by implement-ing domain-specific sentiment analysis and introducing a real-time feedback system to support personalizedlearning experiences.Aligned with these advancements, a web-based NLP platform[5] was developed for undergraduates, en-abling them to apply linguistic theories through case-based activities. This platform provides visualizationtools for tasks such as coreference resolution and word embeddings, allowing students to better understandabstract NLP processes through hands-on data manipulation. These types of interactive platforms bridgethe gap between theoretical knowledge and practical application, creating a more
Phenomena, Mathematical Methods, Ethics, and Safety• These updated LOs were inputted into GroupWisdom .• Our subject matter experts (SMEs) read through the LOs and individually added LOs in the brainstorming phase.Body of Knowledge Process• Collected and refined learning objectives (LOs) for five graduate chemical engineering courses covering six topics: • Thermodynamics, Kinetics and Reactor Design, Transport Phenomena, Mathematical Methods, Ethics, and Safety• These updated LOs were inputted into GroupWisdom .• Our subject matter experts (SMEs) read through the LOs and individually added LOs in the brainstorming phase.Most added LOs were non-curricular skills or specialized topics.Body of Knowledge Process• The SMEs individually grouped
Engineering/Surveying from University of Tehran. Dr. Batouli is a Professional Engineer (PE) registered in SC. He also received Project Management Professional (PMP) international certificate in 2020. Dr. Batouli teaches diverse range of courses in civil engineering, construction engineering, and construction/project management. As a teacher, he aims to inspire his students to think intensively and critically and to live ethically and morally. Dr. Batouli received Harry Saxe Teaching award in 2022. His previous research has resulted in more than 35 referred journal and conference publications as well as five research reports. His past research received major awards and honors including a third-place best poster award from the
lack the structured guidanceand technical proficiency necessary for success. While they are often required to write, theirpreparation may be insufficient, hindering their competence and readiness for workforcedevelopment. This pilot study introduces a 9-week intensive course designed to address this gapby providing comprehensive instruction across a range of essential topics. These include goalsetting, topic selection, the research life cycle, ethics and misconduct, AI usage (such asChatGPT), and various writing skills such as illustration, data analysis, citation, and references.A key feature of the course is the opportunity for students to write a state-of-the-art reviewpaper, guiding them through the entire process—from drafting to peer
[5]. The ethical responsibility of engineers goes beyond the technical aspects of their work; they must consider the social and justice implications of the systems they create. For example, engineers can help reduce inequalities by designing accessible technologies that serve diverse populations or by developing infrastructure that meets the needs of underrepresented and underserved communities [5], [6]. This approach requires engineers to carefully evaluate how their work affects different social groups and to strive for solutions that promote inclusivity, equity, and justice. Engineers have a responsibility to ensure that their projects do not reinforce existing inequalities but instead work towards creating a fairer and more equitable
continuous improvement principles [19], faculty decision-making in teaching andlearning [20], and the impact of personal and environmental factors on faculty perspectivesregarding ethics and societal impacts [21]. These studies highlight how both internal factors(e.g., departmental culture, peer faculty, institutional missions) and external factors (e.g.,accreditation agencies, professional societies, industry, and government) shape the educationalenvironment and instructional practices in engineering education. Second, this research draws on the WRC/FB [13], [17], [22] to complement the APM byfocusing on how engineering faculty members' racial consciousness influences theirequity-oriented practices. It highlights how systems of power and
suggest that institutional constraints on providing equaleducational opportunities can limit women's career advancement in technology fields and affectthe broader engineering sector. The findings of this study show that women's participation andprogress in these fields can be greatly improved through changing information and communicationtechnology policies to better respond to their requirements.Machado-Taylor and Özkanli [28] emphasize differences in academic career developmentbetween male and female academics. They indicate the importance of institutional support toremove these obstacles. Atakan et al. [30] highlight the ethical principles of future managers andshow that female Turkish students adhere more to ethical principles in the
) identified a significant lack of JEDI-relatedcontent in professional engineering societies, underscoring the urgent need to strengtheneducation in these areas to prepare inclusive and socially committed engineers. Armanios et al.(2021) highlighted how a curricular restructuring led to an increase from 17% to 69% in theincorporation of social justice concepts in students' final reflections, demonstrating the ability toinclude the social impact of engineering decisions. Similarly, Hess et al. (2024) emphasized theconnections between ethics and DEI, identifying the need to integrate and unify strategies thatenable engineering students to address both the social and technical aspects of their profession.Finally, Gupta, Talluri and Ghosh (2024
ASEE North Central Section Conference Copyright © 2025, American Society forEngineering EducationIn general, the web provides democratized access to information. Printed materials are onlyavailable to those who have them. AI uses information from the web. AI helps overcomebarriers because it makes the web easier to use, so information is even more democratized.Q9: What challenges or limitations do you foresee in integrating AI into engineeringeducation (e.g., cost, ethical concerns, technical barriers)?All learning should be from basic theory up to application. AI adds one more level of learningthat is required. It is one more thing that must be taught. This adds to the burden of education.There are many ethical concerns. For example, AI will
and inclusion in engineering is an ethical imperative and key to advancing scientificprogress and societal development (Delaine et al., 2016; Williams et al., 2016). As a result, thereis a growing focus on creating a diverse and inclusive environment in the engineering educationresearch community.The Role of Language in Engineering Education Inclusivity In recent publications in the field of engineering education, researchers have emphasizedthat even implicit and unintentional linguistic biases can profoundly impact underrepresentedgroups, particularly in terms of feeling socially included or excluded (Aeby et al., 2019; Golbecket al., 2016). These biases affect dimensions such as gender, race, ethnicity, and other socialidentities
get caught up in these little bubbles. When you die, your bubble stops because your body [is]obsolete and becomes dated and we now need a new version. Versus building a legacy as to, you're leaving a footprint where people remember not just the title of the name, the person. That’s why I say, I'm unapologetically me. ~ Lola, Black/African American• Recall that EM is considered a cognitively based phenomena. Specifically, cognition – the way one thinks and metacognition – how one thinks about thinking.• This includes growth mindset, resourcefulness, and ethical and social responsibility but in our sample, this also represented the negative thought processes experiences by participants such as stereotype threat and imposter
higher for females highlight theirheightened sensitivity and responsiveness to environmental issues, which could be linked to amore empathetic and caretaking disposition.Conversely, male students scored higher in Basic Determinism, Religious Traditionalism, andGender Traditionalism. Higher scores in Basic Determinism suggest that male students are moreinclined to see the world in terms of fixed rules and predictable outcomes, which might makethem less flexible in adapting to new or uncertain situations. Increased scores in ReligiousTraditionalism for male students indicate a stronger adherence to traditional religious beliefs andpractices, which could influence their moral and ethical decision-making processes. Thesignificantly higher scores in
learning environments, computer science education, and Artificial IntelligenceDr. Laura E Brown, Michigan Technological UniversityDr. Jon Sticklen, Michigan Technological University Jon Sticklen is an Associate Professor with the Engineering Fundamentals Department (EF) and Affiliated Faculty with the Department of Cognitive and Learning Sciences (CLS). He served as Chair of EF from 2014-2020, leading a successful effort to design aDr. AJ Hamlin, Michigan Technological University AJ Hamlin is a Principle Lecturer in the Department of Engineering Fundamentals at Michigan Technological University, where she teaches first-year engineering courses. Her research interests include engineering ethics, spatial visualization
, DOI: 10. 1080/105112506008661663. Fask, A., Englander, F., & Wang, Z. (2014). Do online Exams Facilitate Cheating? An Experiment Designed to Separate Possible Cheating from the Effect of the Online Test Taking Environment. J Acad Ethic, 12:101–112 DOI 10.1007/s10805-014-9207-14. Charlesworth, P., Charlesworth, D.D., & Vician, C. (2006) Students’ Perspectives of the influence of Web- Enhanced Coursework on Incidences of Cheating, Journal of Chemical Education, vol. 83 No.9.5. Chegg Inc., website https://www.chegg.com, accessed on November 4th, 2024.6. ChatGPT 4o, https://chat.openai.com, accessed on November 4th, 2024.7. Coure Hero, website www.coursehero.com, accessed on November 4th, 2024.8. Nader, M
University where he teaches courses on ethics/professionalism and water resources. Dr. Carpenter has served as the University Director of Assessment and theAlyssa TaubeLynne Seymour ©American Society for Engineering Education, 2025 Collaborative Outreach to Inspire Interest in Civil and Environmental Engineering Through Stormwater Design using Best Management PracticesAbstractThis paper presents an engaging activity developed for the outreach event Blue Planet Jobs:Careers in Water, hosted by the nonprofit organization Pure Oakland Water (POW).Approximately 250 high school students participating in career readiness programs exploredopportunities in various water
; Inside Higher Ed, 11/22/247. Brendon Lumgair: The Effectiveness of Webinars in Professional Skills and Engineering Ethics Education in Large Online Classes; American Society for Engineering Education, 2018 Conference8. Kimberly Bernadine Catton, Abril Galang and Alexander T Bulk: Disruption in Large Classes during Active Learning Sessions,;American Society for Engineering Education, 2016 Conference9. Tom McCormick, James C. Squire, Gerald Sullivan: Pedagogical Effectiveness of Classroom Demonstrations Devices; American Society for Engineering Education, 2018 Conference
over time. Also, a comparison between construction and relevant programs (e.g.,architecture, civil engineering, etc.) may highlight similarities and differences. The findingsdiscussed in this paper provide valuable insights for construction education programs andindustry stakeholders. By addressing gender-specific factors in recruitment, retention, andsupport strategies, programs can work towards creating a more diverse and inclusive learningenvironment and, ultimately, a more balanced workforce in the construction industry.References[1] T.-D. T. Nguyen, "Gender Gap in College Enrollment," Encyclopedia of Business and Professional Ethics, pp. 955-957, 2023.[2] S. Cheryan, S. A. Ziegler, A. K. Montoya and L. Jiang, "Why are some STEM fields
struggles with subjective elements suchas creativity, critical thinking, and originality [6]. These limitations raise concerns about thefairness and reliability of AI in grading assignments requiring higher-order cognitive skills.Bias is another critical issue in AI grading. Since AI models are trained on existing data, theymay inadvertently replicate biases in the training datasets [4]. For instance, studies havereported disparities in grading outcomes for non-native English speakers and minority groups,raising ethical questions about the use of AI in academic assessment [11].2.4. Comparing AI and Human GradingComparative studies between AI-assisted and human grading have yielded mixed results.While some studies report high levels of agreement
university-based and consulting efforts have led to over $40M in funding for projects to support initiatives in STEM and changes to policies and practices of global engineering organizations. Pearson is a registered Professional Engineer, an ENVISION® Sustainability Professional, and a Commissioner on ABET’s Engineering Accreditation Commission. Among her awards and honors are ABET’s Claire L. Felbinger Award for Diversity and Inclusion, ASCE’s Professional Practice Ethics and Leadership Award, the Society of Women Engineers’ Distinguished Engineering Educator Award, the UT System Regents Outstanding Teaching Award, and ASCE’s President’s Medal, one of the highest honors awarded in this global organization of over