[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-582699-105":59,"doc-detail-582699-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","future-of-testing-in-education-artificial-intelligence-issue-brief","Future of Testing in Education - Artificial Intelligence - Issue Brief","","A three-part series explores the future of testing in America’s schools, arguing that assessments are a necessary and useful part of teaching and learning. It emphasizes how diagnostic and formative assessments provide real-time guidance and links this to the testing effect. The brief reviews technology advances—especially artificial intelligence—including stealth assessments and AI capabilities for scoring, prediction, and real-time support, while also addressing risks such as bias. It concludes with recommendations for federal investment in testing research and development.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/future-of-testing-in-education-artificial-intelligence-issue-brief/582699/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/future-of-testing-in-education-artificial-intelligence-issue-brief/582699.png","ImageObject",300,407,{"name":92,"@type":93},"Mia  ","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":24},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why does the brief say assessments are still necessary in schools?","Question",{"text":112,"@type":113},"Assessments support teaching and learning by providing useful information. The brief highlights diagnostic and formative assessments that give teachers real-time direction for what students need next.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What role does the “testing effect” play in the discussion?",{"text":117,"@type":113},"The testing effect theory suggests that low-stakes quizzes help students gain knowledge and improve instruction, reinforcing why assessments can be beneficial beyond grading.",{"name":119,"@type":110,"acceptedAnswer":120},"How can artificial intelligence improve diagnostic and formative testing?",{"text":121,"@type":113},"AI can enable real-time and more scalable assessment tools such as intelligent tutoring systems, automated essay scoring, prediction models, vision-based grading, and voice-based diagnosis. These systems can make testing more invisible and integrated into learning.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},582699,1792231229,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":24,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":39,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":46,"preview_page_count":4},687207024478,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","FUTURE OF TESTING IN EDUCATION  \nArtificial Intelligence  \nBy Laura Jimenez and Ulrich Boser September 16, 2021  \nThis series is about the future of testing in America’s schools. Part one of the series presentsa theory of action that assessments should play in schools. Part two—this issue brief—reviews advancements in technology, with a focus on artificial intelligence that can powerfully drive learning in real time. And the third part looks at assessment designs that can improve large-scale standardized tests.  \nDespite the often-negative discussion about testing in schools, assessments are a necessary and useful tool in the teaching and learning process.1 This is especially true when it comes to diagnostic and formative assessments, which give teachers real-time direction for what students need to learn to master course content. It is this space where the advancements of technology can particularly benefit teaching and learning, as there is growing recognition in the field of psychology that tests help students learn. Sometimes called the testing effect, this theory suggests that low-stakes quizzes help students gain knowledge—and improve instruction.2  \nAdvancements in technology have led to new developments in the field, such as stealth assessments, that reduce some of the stress students may experience around assessments. This approach makes testing more ubiquitous and useful for teachers because the methods are woven into the fabric of learning and are invisible to students.3  \nBut to get to a place where all teachers have access to such tests, there needs to be greater investment in testing research and development that results in better systems of diagnostic and formative assessments. This issue brief reviews developments in artificial intelligence (AI) and the types of advancements in diagnostic and formative testing it makes possible. This issue brief ends with recommendations for how the federal government can invest in testing research and development.  \nWhat is artificial intelligence in education?  \nAt its most basic level, AI is the process of using computers and machines to mimic human perception, decision-making, and other processes to complete a task. Put differently, AI is when machines engage in high-level pattern-matching and learning in the process.  \nThere are a number of different ways to understand the nature of AI. Two types of assessment include rules-based and machine learning-based AI. The former uses decision-making rules to produce a recommendation or a solution. In this sense, it is the most basic form. An example of this kind of system includes an intelligent tutoring system (ITS), which can provide granular and specific feedback to students.4  \nMachine learning-based AI is more powerful since the machines can actually learn and become better over time, particularly as they engage with large, multilayered datasets. In the case of education, machine learning-based AI tools can be used for a variety of tasks such as monitoring student activity and creating models that accurately predict student outcomes. While machine learning-based AI is still in its infancy, the approach has already shown impressive results when it comes to complex solutions not governed by rules, such as scoring students’ written responses or analyzing large, complex datasets.  \nWithin AI, there are other important distinctions, largely based on the technological use cases. One subfield revolves around natural language processing, which is the use of machines to understand text. Technology such as automated essay scoring uses natural language processing to grade written essays. Also important within AI are recommender and other prediction systems that engage in datadriven forecasting. For example, Netflix currently uses an AI-based recommender system to suggest new films to its users.  \nVision-based AI is also an important field that can help with assessment. A number of assessment groups have used optical systems to grade stu","cbCailagPSnPpBOh","https://ap.wps.com/l/cbCailagPSnPpBOh","pdf",129641,"English","# Future of Testing in Education\n## Artificial Intelligence\n## Purpose of the Series and Use of Assessments\n## Testing Effect and Benefits for Learning\n## Technology Advances: Stealth Assessments\n## What Is Artificial Intelligence in Education?\n## Types of AI: Rules-Based vs Machine Learning\n## AI Use Cases: NLP, Recommenders, Vision, and Voice\n## Concerns: Bias in AI-Assisted Assessment\n## Who Is Using AI in Education?","[{\"question\":\"Why does the brief say assessments are still necessary in schools?\",\"answer\":\"Assessments support teaching and learning by providing useful information. The brief highlights diagnostic and formative assessments that give teachers real-time direction for what students need next.\"},{\"question\":\"What role does the “testing effect” play in the discussion?\",\"answer\":\"The testing effect theory suggests that low-stakes quizzes help students gain knowledge and improve instruction, reinforcing why assessments can be beneficial beyond grading.\"},{\"question\":\"How can artificial intelligence improve diagnostic and formative testing?\",\"answer\":\"AI can enable real-time and more scalable assessment tools such as intelligent tutoring systems, automated essay scoring, prediction models, vision-based grading, and voice-based diagnosis. These systems can make testing more invisible and integrated into learning.\"}]","Future of Testing in Education - Artificial Intelligence - Issue Brief | PDF",1792044250]