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The guidance explains how machine learning and generative AI models (including examples such as ChatGPT) work and highlights AI’s growing presence in daily life and education. 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The document adds that many machine learning processes use large language models to understand and generate human language, producing generative AI content such as text, images, and audio.",{"name":119,"@type":110,"acceptedAnswer":120},"What are key opportunities and risks of AI in classrooms?",{"text":121,"@type":113},"Opportunities include personalized mastery learning, tutoring, accommodations, stimulating discussions and creativity, and improved productivity. Risks include cheating or plagiarism, inaccurate information, unfair biases, overreliance that reduces critical thinking, harmful content or disinformation, copyright/ownership confusion, and potential data privacy and security risks.","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},397315,1791434660,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":19,"category_name":20,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},962085564549,"https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","ARTIFICIAL  \nINTELLIGENCE  \nGuidance for K-12 Classrooms  \nMISSISSIPPI  \nDEPARTMENT OF EDUCATION  \nDr. Raymond C. Morgigno { INTERIM STATE SUPERINTENDENT OF EDUCATION  \nOFFICE OF THE CHIEF ACADEMIC OFFICER  \nDr. Donna H. Boone { CHIEF ACADEMIC OFFICER  \nOFFICE OF THE CHIEF INFORMATION OFFICER  \nJohn Kraman { CHIEF INFORMATION OFFICER  \nOFFICE OF DATA AND REPORTING  \nMelissa Banks { DIRECTOR OF DATA USE AND PROFESSIONAL LEARNING  \nOFFICE OF DIGITAL LEARNING  \nElise Brown { STATE DIGITAL LEARNING COORDINATOR Heather Ascherl { REGIONAL DIGITAL LEARNING COORDINATOR Lakyn Kirk { REGIONAL DIGITAL LEARNING COORDINATOR Tanjanikia McKinney { REGIONAL DIGITAL LEARNING COORDINATOR Brooke Morehead { REGIONAL DIGITAL LEARNING COORDINATOR Gina Pepperman { REGIONAL DIGITAL LEARNING COORDINATOR  \nDr. Diane Fisher { DIGITAL LEARNING COACH John Harlow { DIGITAL LEARNING COACH  \nThe Mississippi Department of Education appreciates the dedication of the following educators who contributed their talent and extensive knowledge to the review of this document:  \nITEACH AT KENNESAW STATE UNIVERSITY  \nAnna Bilyeu { PROJECT MANAGER Jennifer Grimes { ITEACH COACH Erin Hall { ITEACH COACH Dr. William Wright { ITEACH COACH Samantha York { ITEACH COACH  \nAI COLLABORATIVE POWERED BY MICROSOFT  \nJJ Townsend { MICROSOFT  \nDr. Brittany Myburgh { COLLEGE OF LIBERAL ARTS, JACKSON STATE UNIVERSITY Krystal Chatman { COMPUTER SCIENCE TEACHER ASSOCIATION  \nBob Buseck { MISSISSIPPI CODING ACADEMIES Jim St. Clair { MISSISSIPPI AI COLLABORATIVE / MISSISSIPPI CODING ACADEMIES  \nWHAT is Artificial Intelligence? .....................................5  \nHOW can AI impact the classroom? .................................6  \nHOW can AI be leveraged in the classroom? ..........................7  \n1 Digital Citizenship............................................ 8  \nStrategies to Deter Cheating and/or Plagiarism ................. 11  \nREFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .26  \nWHAT IS ARTIFICIAL INTELLIGENCE?  \nArtificial intelligence (AI) is the ability of a computer or computer-controlled robot to mimic human tasks that require learning, problem solving, and recognizing patterns to make predictions. Developers program AI to learn from data and then use that information to solve problems, make predictions, and emulate human thought-processes.  \nAI is powered by machine learning, which is the process that allows machines to learn from data independently. Through machine learning, computers can pull in large amounts of data in the form of images, video, text, and audio and learn to recognize patterns and make predictions.  \nMachine learning processes often use large language models that can understand and generate human language. These models, known as generative AI, produce content such as text, images, and audio. Google Genesis and Open AI ChatGPT are examples of generative AI that utilize machine learning and large language models.  \nWhile AI may seem like the newest tool in the world of technology, it’s been working behind the scenes for decades. Today, we are surrounded by AI in  \nour personal and professional lives, including Google search assistant, virtual assistants (e.g., Siri and Alexa), predictive text, facial recognition, medical procedures, and countless other applications.  \nIN EDUCATION  \n1967  \n1998  \nALEKS  \nAssessment and Learning in Knowledge Spaces (ALEKS) was created as an adaptive  \nassessment tool for personalized math instruction.  \n2024  \nTODAY’S CLASSROOM  \nAs AI has grown, so has its uses in education. Below are examples of commonly used classroom AI tools:  \n• Dictation (speech-to-text)  \n• Grammar and spelling suggestions  \n• Plagiarism checkers  \n• Live captions and translations for presentations, videos, or audio recordings  \n• Background noise cancellation or reduction for video or audio recordings  \n• Adaptive texts or assessments  \n• Predictive text  \n• Text-to-speech  \n• D","cbCaiio7YYL1AhpE","https://ap.wps.com/l/cbCaiio7YYL1AhpE","pdf",1737649,26,"English","# WHAT is Artificial Intelligence?\n# HOW can AI impact the classroom?\n## AI-powered tools can:\n# HOW can AI be leveraged in the classroom?\n## 1 Digital Citizenship\n## Strategies to Deter Cheating and/or Plagiarism\n# REFERENCES","[{\"question\":\"What is artificial intelligence in the document’s definition?\",\"answer\":\"Artificial intelligence is described as a computer or robot’s ability to mimic human tasks that involve learning, problem solving, and recognizing patterns to make predictions.\"},{\"question\":\"How does machine learning relate to AI and generative AI?\",\"answer\":\"Machine learning is presented as the process that lets machines learn from data independently. The document adds that many machine learning processes use large language models to understand and generate human language, producing generative AI content such as text, images, and audio.\"},{\"question\":\"What are key opportunities and risks of AI in classrooms?\",\"answer\":\"Opportunities include personalized mastery learning, tutoring, accommodations, stimulating discussions and creativity, and improved productivity. Risks include cheating or plagiarism, inaccurate information, unfair biases, overreliance that reduces critical thinking, harmful content or disinformation, copyright/ownership confusion, and potential data privacy and security risks.\"}]","Artificial Intelligence - Guidance for K-12 Classrooms | PDF",1790461086,66]