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Found 3 papers, 1 papers with code
Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices
Recent studies have integrated large language models (LLMs) into diverse educational contexts, including providing adaptive programming hints, a type of feedback focuses on helping students move forward during problem-solving.
Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods
We demonstrated the effectiveness of the two methods in identifying common item-writing flaws present in the student-generated questions across different subject areas.
Learnersourcing in the Age of AI: Student, Educator and Machine Partnerships for Content Creation
Engaging students in creating novel content, also referred to as learnersourcing, is increasingly recognised as an effective approach to promoting higher-order learning, deeply engaging students with course material and developing large repositories of content suitable for personalized learning.
