Generative AI in Higher Education: Policies and Resources Analysis
대학의 GenAI 정책 및 자원을 분석하여 적절한 가이드라인을 제안합니다.
AI Assessment Scale (AIAS) Pilot Study at British University Vietnam
The AI Assessment Scale (AIAS) facilitates ethical GenAI integration in higher education, enhancing academic integrity and student learning.
Impact of AI Tutoring on University Learning Progress
Generative AI, specifically the AI-powered teaching assistant Syntea, significantly accelerates learning progress in university students.
PeerGPT: Probing the Roles of LLM-based Peer Agents in Children’s Collaborative Learning
Large Language Model (LLM) agents play dual roles as team moderators and participants in children's collaborative learning, impacting peer conversations differently.
The Debate on Free Education: Economic Productivity and Impact
Education's goal is economic productivity, sparking a debate on whether education should be free.
EXAMS-V: A Multilingual Multimodal Exam Benchmark for Vision Language Models
EXAMS-V introduces a challenging multi-discipline, multimodal, multilingual exam benchmark for evaluating vision language models.
Training Children's Curiosity with Metacognitive Skills: A Pilot Study
The author proposes a workshop to enhance children's curiosity through specific metacognitive skills, aiming to address the lack of curiosity in formal educational settings.
RECIPE4U: Student-ChatGPT Interaction Dataset in EFL Writing Education
The author presents RECIPE4U, a dataset from a semester-long experiment with college students in EFL writing courses, focusing on interactions with ChatGPT. The study aims to explore student-ChatGPT interaction patterns and potential applications for educational frameworks.
Improving Low-Resource Knowledge Tracing Tasks with Pre-training and Fine-tuning
The author proposes LoReKT, a framework that leverages pre-training on rich-resource datasets and fine-tuning on low-resource datasets to enhance knowledge tracing performance.
Enhancing Cognitive Diagnosis Models with Adaptive Relational Graph Neural Networks
The author proposes the ASG-CD model to address edge heterogeneity and uncertainty in cognitive diagnosis, leading to improved diagnostic performance.
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