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They stem from structural issues such as lack of vision, poor integration in classrooms, misguided incentives for developers, and underlying system design problems.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Who participated in the research, and how were participants selected?",{"text":68,"@type":64},"The study conducted semi-structured interviews with more than 50 K–12 stakeholders, including developers, policymakers, teachers, students, parents, community advocates, and researchers. Participants were identified through snowball sampling to capture a wide range of perspectives rather than a statistically representative sample.",{"name":70,"@type":61,"acceptedAnswer":71},"Why do current AI tools struggle to create system-level improvement?",{"text":72,"@type":64},"Many new tools enter schools without being used to rethink scheduling, staffing, or instructional design. Education leaders have also not clearly defined the key challenges they want AI to address, leading to crowded markets of point solutions that do not move the needle.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},583340,1792191025,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,100,105,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},8,30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":55,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":139,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":144,"read_time":145,"preview_page_count":4},962084928904,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Getting Beyond the Lightbulb Stage: Why AI Is Not Yet Transforming Education  \nMAY 2026  \nRobin Lake and Shira Haderlein  \nExecutive Summary  \nAI has the potential to radically improve how students learn, make teachers’ jobs more manageable, and expand access to opportunities like more rigorous and personalized coursework. Already, students use AI regularly, while parents and teachers recognize that AI will shape both the workforce students will enter and the skills they will need to succeed in it. However, many AI-enabled interventions aren’t meeting either these present or future challenges. The Center on Reinventing Public Education (CRPE) set out to identify gaps between the supply of AI solutions and stakeholder needs. In other words, where are the gaps between what current AI-powered solutions can provide and what transformative solutions will require?  \nWe conducted semi-structured interviews with more than 50 informed K–12 education stakeholders, including ed tech developers, philanthropists, policymakers, teachers, students, parent and community advocates, and researchers. Across these interviews, we heard that there is a profound mismatch between the supply side, or what AI developers are building for education, and the demand side, or what students, teachers, and systems actually need. New AI-enabled tools are entering schools and classrooms, but they aren’t being used to rethink outdated models of scheduling, staffing, or instructional design. Our interview participants told us that they want something more profound than a collection of new AI tools that each address discrete instructional issues.  \nAt the same time, education leaders have not clearly defined the major challenges that they want to use AI to address. Developers are responding to market incentives, but they aren’t receiving clear information from the administrators and teachers who will use their tools and supervise student use. The result is a marketplace crowded with“point solutions” that don’t move the needle on improving schooling or the education system as a whole.  \nGETTING BEYOND THE LIGHTBULB STAGE:  \nWHY AI IS NOT YET TRANSFORMING EDUCATION  \nThis is not a technology problem, but a problem of connecting developers with the needs of their users. Our interviews make clear that realizing the potential of AI in education will require action on both the supply and demand sides of the market.  \nOn the supply side, funders and policymakers should focus on fewer and better tools. Ed tech funding should target high-leverage pain points where AI remains underdeployed, including teacher coaching, special education, career pathways, and family communication. Investments should also look to the future, connecting to bold visions for how education could work in radically different ways and solve the most persistent problems in education.  \nOn the demand side, the field also requires more investment in capacity building and change management. Funders and policymakers could organize large-scale networks of states and districts committed to a high bar for quality and a clear vision for what AI-enabled education could become and communicate that vision effectively to ed tech developers.  \nThe field also needs protected spaces for co-design and experimentation, stronger incentives for evidence generation, and clearer policy guardrails so educators know what they can actually do. Taken together, these shifts move AI in education from a collection of point-in-time tools to the foundation of something fundamentally different.  \nAbout This Research  \nThe research was exploratory in design, and participants were identified through snowball sampling and selected for their knowledge of AI in education. We were not seeking a statistically representative sample but rather a wide range of perspectives from stakeholders who are deeply engaged in the field. We included participants with different roles and backgrounds to better understand the dynamics, opportunities, and ","cbCaiauejd3INrmw","https://ap.wps.com/l/cbCaiauejd3INrmw","pdf",200249,11,"English","# Executive Summary\n## Getting Beyond the Lightbulb Stage: Why AI Is Not Yet Transforming Education\n## About This Research\n## Findings\n## Lack of Vision, Poor Integration, Misguided Incentives, and Underlying System Design Issues All Contribute to Misalignment\n## 1. Tool Obsession Without A Broader Vision","[{\"question\":\"What did the study find about why AI is not yet transforming education?\",\"answer\":\"The research found the main gaps are not primarily technical. They stem from structural issues such as lack of vision, poor integration in classrooms, misguided incentives for developers, and underlying system design problems.\"},{\"question\":\"Who participated in the research, and how were participants selected?\",\"answer\":\"The study conducted semi-structured interviews with more than 50 K–12 stakeholders, including developers, policymakers, teachers, students, parents, community advocates, and researchers. Participants were identified through snowball sampling to capture a wide range of perspectives rather than a statistically representative sample.\"},{\"question\":\"Why do current AI tools struggle to create system-level improvement?\",\"answer\":\"Many new tools enter schools without being used to rethink scheduling, staffing, or instructional design. Education leaders have also not clearly defined the key challenges they want AI to address, leading to crowded markets of point solutions that do not move the needle.\"}]","Getting Beyond the Lightbulb Stage - Why AI Is Not Yet Transforming Education | PDF",1792046841,28]