NEWSLETTER
AI in K-12 Instruction: Insights of instructional coaches
Key points: As artificial intelligence (ai) becomes an integral part of modern education, instruction coaches play a fundamental role in ...
Tag: instructional
Improving large language models with diverse instructional data: A clustering and iterative refinement approach
Large language models (LLMs) have become a fundamental part of artificial intelligence, as they enable systems to understand, generate, and ...
School safety impacts educator performance, instructional time, and retention
Key points: Although 77 percent of educators and administrators say they believe school safety significantly impacts staff retention and recruitment, ...
University of Maryland Researchers Introduce GenQA Instructional Dataset: Automating Large-Scale Instructional Dataset Generation for AI Model Tuning and Diversity Improvement
Natural language processing has greatly improved language model tuning. This process involves honing ai models to perform specific tasks more ...
The intersection of inquiry-based learning and high-quality instructional materials in social studies
High Quality Instructional Materials (HQIM) are educational resources designed to effectively support student learning. They may include textbooks, lesson plans, ...
Improve instructional training for student success
Key points: Last fall, ChatGPT, an ai-powered language model, became the topic of widespread discussion, from light-hearted memes about robots ...
Strengthening Level 1 with high-impact instructional practices
Amanda Ironside, director of the MTSS Center for FIRST Educational Resources, discussed the importance of Tier 1 interventions in MTSS ...
Meet Mistral Trismegistus 7B: An instructional data set on esoteric, spiritual, occult, and wisdom traditions…
Mistral Trismegistus-7B is a gigantic language model developed by Google ai and trained on a huge data set of literature ...
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