Artificial Intelligence
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Item Ethics, Artificial Intelligence, and Digital Equity: Making Informed Decisions about the Integration of AI(Digital Promise, 2024-03) Jeremy Roschelle; Judi Fusco; Pati RuizThis talk, entitled "Ethics, Artificial Intelligence (AI), and Digital Equity: Making Informed Decisions about the Integration of AI" explores the intersection of digital equity, ethics, and artificial intelligence. Originally presented at the AI K12 Deeper Learning Summit, it aims to provide participants with knowledge and resources to make informed decisions regarding the integration of AI systems and tools in their learning context. In an interactive portion, attendees will consider scenarios and learn strategies for ensuring and impact of technology while fostering, responsible and inclusive uses of AI.Item Artificial Intelligence and the Future of Teaching and Learning(Digital Promise, 2024-03) Jeremy Roschelle; Judi Fusco; Pati RuizThis talk, entitled "Artificial Intelligence and the Future of Teaching and Learning" focuses on AI Literacy, giving background and definitions to give educators a foundation as they bring AI into their practice. Originally presented at the AI K12 Deeper Learning Summit, it frames the discussion of AI in Education in the context of how people learn and considers how AI may change the process. It further considers equity, ethics, bias in AI, and some hidden costs of AI to humans and the environment. Links to resources are given.Item Executive Summary: A Look at AI Literacy, and AI and Digital Equity(Digital Promise, 2024-04) Pati Ruiz; Jeremy RoschelleThis one pager summarizes Digital Promise's vision for Artificial Intelligence in education. Digital Promise is focused on AI in education to foster a future where every person engages in sustained and impactful experiences of powerful learning that lead to a life of well-being, fulfillment, and economic mobility.Item Review of Guidance from Seven States on AI in Education(Digital Promise, 2024-02) Jeremy Roschelle, Judi Fusco, Pati RuizAs Artificial Intelligence within education becomes increasingly important, Digital Promise reviewed the guidance documents released by seven states—California, North Carolina, Ohio, Oregon, Virginia, Washington state, and West Virginia—on how to approach artificial intelligence (AI) in education. Throughout this report we summarize the overall themes and considerations that each guidance document covers.Item Computational Thinking and Artificial Intelligence: The Future of Teaching and Learning(Digital Promise, 2023-09) Pati RuizItem Exploring ChatGPT and Artificial Intelligence: What do you need to know?(Digital Promise, 2023-08) Judi Fusco; Menko JohnsonItem Automated Essay Scoring in Middle School Writing: Understanding Key Predictors of Students’ Growth and Comparing Artificial Intelligence- and Teacher-Generated Scores and Feedback(Digital Promise, 2023-08) Hillary Greene Nolan; Mai Chou VangProviding feedback to students in a sustainable way represents a perennial challenge for secondary teachers of writing. Employing artificial intelligence (AI) tools to give students personalized and immediate feedback holds great promise. Project Topeka offered middle school teachers pre-curated teaching materials, foundational texts and videos, essay prompts, and a platform for students to submit and revise essay drafts with AI-generated scores and feedback. We analyze AI-generated writing scores of 3,233 7th- and 8th-grade students in school year 2021-22 and find that students’ growth over time generally was not explained by teachers’ (n=35) experience or self-reported instructional approaches. We also find that students’ growth increased significantly as their baseline score decreased (i.e., a student with the lowest possible baseline grew more than a student with a medium baseline). Lastly, based on an in-person convening of 16 Topeka teachers, we compared their scores and feedback to AI-generated scores and feedback on the same essays, finding that generally the AI tool was more generous, with differences likely driven by teachers’ ability to understand the whole essay’s success better than the AI tool.