首页|Reports from Florida International University Add New Data to Findings in Artifi cial Intelligence [Music Teachers' Labeling Accuracy and Qual ity Ratings of Lesson Plans By Artificial Intelligence (Ai) and Humans]
Reports from Florida International University Add New Data to Findings in Artifi cial Intelligence [Music Teachers' Labeling Accuracy and Qual ity Ratings of Lesson Plans By Artificial Intelligence (Ai) and Humans]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Artificial Intelligence. According to news reporting originating in Miami, Flori da, by NewsRx editors, the research stated, "This study explored the potential o f artificial intelligence (ChatGPT) to generate lesson plans for music classes t hat were indistinguishable from music lesson plans created by humans, with curre nt music teachers as assessors. Fifty-six assessors made a total of 410 ratings across eight lesson plans, assigning a quality score to each lesson plan and lab eling if they believed each lesson plan was created by a human or generated by A I." The news reporters obtained a quote from the research from Florida International University, "Despite the human-made lesson plans being rated higher in quality as a group (p <.01, d = 0.44), assessors were unable to ac curately label if a lesson plan was created by a human or generated by AI (55% accurate overall). Labeling accuracy was positively predicted by quality scores on human-made lesson plans and previous personal use of AI, while accuracy was n egatively predicted by quality scores on AI-generated lesson plans and perceptio n of how useful AI will be in the future. Open-ended responses from 42 teachers suggested assessors used three factors when making evaluations: specific details , evidence of classroom knowledge, and wording."
MiamiFloridaUnited StatesNorth and Central AmericaArtificial IntelligenceEmerging TechnologiesMachine Learni ngFlorida International University
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