Conference Session

Harnessing AI and Collaborative Platforms to Personalize and Innovate K-12 STEM Curriculum

Collection

2025 ASEE Annual Conference & Exposition

Authors

Julie M. Smith, Institute for Advancing Computing Education; Monica McGill, Institute for Advanced Engineering; Jacob Koressel; Bryan Twarek

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

Computer Science As a Test Case (Research to Practice)AbstractIntroduction: Because developing integrated computer science (CS) curriculum is aresource-intensive process, there is interest in leveraging the capabilities of AI tools, includinglarge language models (LLMs), to streamline this task. However, given the novelty of LLMs,little is known about their ability to generate appropriate curriculum content.Research Question: How do current LLMs perform on the task of creating appropriate learningactivities for integrated computer science education?Methods: We tested two LLMs (Claude 3.5 Sonnet and ChatGPT 4-o) by providing them with asubset of K-12 national learning standards for both CS and language arts and

Conference Session

Innovations and Inclusion in Pre-Service and Pre-College STEM Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Christine Liebe, Colorado School of Mines; Sabina Anne Schill, Colorado School of Mines; C. Estelle Smith, Colorado School of Mines; Jesan Ahammed Ovi, Colorado School of Mines

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

STEM majors to reconnect with and definehuman talents and abilities to solve human problems and develop technological solutions.IntroductionGenerative Artificial Intelligence (GenAI) offers tools to transform K-12 science, engineering,technology, and mathematics (STEM) education. Teachers can use GenAI technology such asChatGPT to supplement their teaching methods or create content such as course outlines andquizzes; students can use it to help with homework and to receive formative feedback on theirwork [1, 2]. ChatGPT is a large-lanuage model (LLM) chatbot; it generates human-like textresponses based on training from a large amount of data [3]. A March 2023 survey of 1,002 K-12teachers found that over half of respondents (51%) reported using

Conference Session

WIP Poster Session: Emerging Research and Practices in Pre-College Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Syeda Fizza Ali, Texas A&M University; Ayaan Sunil Rege, The Hill School; Susanna Angela Ponniah, The Hill School; Hoda Ehsan, The Hill School ; Saira Anwar, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

developing systemscapable of performing tasks that usually require human intelligence, including learning,reasoning, and decision-making [21]. Generative AI (Gen-AI) is a subset of AI thatspecializes in creating human-like content, including text, images, and audio [22]. With AI'srecent innovations, many have explored its educational applications. Many educatorscurrently utilize AI tools to increase efficiency within the classroom [1]. Two examples ofGen AI tools include 1) ChatGPT, a generative AI chatbot, and 2) Grammarly, an AI-powered writing assistant. Both tools have proven valuable educational assistants [2, 3].GenAI can help educators with tasks like creating assessments and streamliningadministrative tasks and lessons [23, 24]. In the field

Conference Session

WIP Poster Session: Emerging Research and Practices in Pre-College Engineering Education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Aysel Guliyeva, The Institute of Education of the Republic of Azerbaijan; Ibrahim H. Yeter, Nanyang Technological University

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

for educators and policymakers to enhance AI literacy among kindergarten teachers.IntroductionEducation, one of the industries most significantly impacted by rapid advancements in artificialintelligence (AI), is on the brink of a revolution. Since the introduction of generative AItechnologies in 2022, as demonstrated by ChatGPT and other platforms, the potential of thesetools to revolutionize a range of educational processes has come to light more and more [1]. AIenables a revolutionary change in education by utilizing its powers in data analysis, patternrecognition, and personalized feedback. In addition to improving teaching strategies, thistechnology is changing how students learn, encouraging participation and comprehension [2, 3

Conference Session

Empowering Pre-College Students through AI and Computer Science: Standards, Self-Efficacy, and Social Impact

Collection

2025 ASEE Annual Conference & Exposition

Authors

Julie M. Smith, Institute for Advancing Computing Education; Jacob Koressel; Bryan Twarek

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

describe – all of whichare at the lowest two Bloom’s levels. Thus, it seems to be the case that the different standardsemphasize lower-order thinking skills.It is perhaps surprising given the recent expansion of AI technologies that the least paralleledCSTA standard concerns the implementation of AI algorithms. However, that expansion is sorecent – largely stemming from the November 2022 introduction of ChatGPT – that it has not yethad an impact on learning standards at scale. We anticipate that future iterations of state andCSTA standards will probably focus more on AI. Many states adopted their standards between2016 and 2022 – a narrow window in itself, with significant policy implications.Third, the most frequent difference between the state

Conference Session

Harnessing AI and Collaborative Platforms to Personalize and Innovate K-12 STEM Curriculum

Collection

2025 ASEE Annual Conference & Exposition

Authors

Michael Thomas Vaccaro Jr, University of Connecticut; Mikayla Friday, University of Connecticut; Arash Esmaili Zaghi P.E., University of Connecticut

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

Research Traineeship(TRANSCEND) under Grant No. 2152202 at the time this research was conducted. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe author(s) and do not necessarily reflect the views of the National Science Foundation.During the preparation of this paper, the authors used OpenAI’s ChatGPT models as a writingassistant to check grammar and to enhance the clarity of the written text. These models wereused with extreme oversight and care. The authors have reviewed and edited the output and takefull responsibility for the content of this publication.Ethics StatementThe study regarding human subjects was reviewed and approved by the University ofConnecticut’s Storrs-campus Institutional

Conference Session

Empowering Pre-College Students through AI and Computer Science: Standards, Self-Efficacy, and Social Impact

Collection

2025 ASEE Annual Conference & Exposition

Authors

Shana Lee McAlexander, Duke University; George Delagrammatikas, Duke University

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

. Students generated a wall ofideas, with over three hundred ideas written on brightly colored sticky notes. For the initialideation round, students were asked to think of societal problems without the assistance of theirphones or computers. After they seemed exhausted thinking on their own, with 5-10 ideas each,they were next directed to use available resources to gather ideas. Facilitators suggested thatstudents review UN Sustainable Development Goals and explore global grand challenge lists.In the third ideation phase, students were guided to use generative AI applications and to recordand share their iteration process in prompting. The decision to support the exploration of productideas with ChatGPT was not made lightly. Aligned with