Artificial intelligencefromHackernoon2 months agoCited Works: AI in Education, Natural Language Processing, and Tutoring Research | HackerNoonThe study focuses on enhancing tutor training through AI-driven feedback mechanisms.
fromHackernoon2 months agoLesson Principles: Defining Effective Praise in Tutoring | HackerNoonEffective praise is vital for student motivation and involves specific, immediate feedback highlighting effort over mere outcome.
fromHackernoon2 months agoArtificial intelligenceGPT Prompting Performance: Explanatory Feedback for Tutor Praise | HackerNoon
fromHackernoon1 year agoOnline learningFine-tuned GPT-3.5 Performance for Explanatory Feedback | HackerNoon
fromHackernoon2 months agoArtificial intelligenceModified Intersection over Union (M-IoU) for Sequence Labeling Evaluation | HackerNoon
fromHackernoon2 months agoArtificial intelligenceSequence Labeling for Automated Feedback in Tutor Training | HackerNoon
fromHackernoon2 months agoArtificial intelligenceGPT Prompting Performance: Explanatory Feedback for Tutor Praise | HackerNoon
fromHackernoon1 year agoOnline learningFine-tuned GPT-3.5 Performance for Explanatory Feedback | HackerNoon
fromHackernoon2 months agoArtificial intelligenceModified Intersection over Union (M-IoU) for Sequence Labeling Evaluation | HackerNoon
fromHackernoon2 months agoArtificial intelligenceSequence Labeling for Automated Feedback in Tutor Training | HackerNoon
fromHackernoon2 months agoGPT Models for Sequence Labeling: Prompt Engineering & Fine-tuning | HackerNoonPrompt engineering involves designing input prompts to guide GPT models in generating desired outputs; it optimizes the model's ability to identify praise in tutor responses.Online learning
Online learningfromHackernoon2 months agoLarge Language Models (LLMs) for Educational Applications | HackerNoonLarge language models like GPT can significantly improve educational feedback generation.
