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Found 8 papers, 0 papers with code
G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German
The advancement of natural language processing has paved the way for automated scoring systems in various languages, such as German (e. g., German BERT [G-BERT]).
Gemini Pro Defeated by GPT-4V: Evidence from Education
This study compared the classification performance of Gemini Pro and GPT-4V in educational settings.
Collaborative Learning with Artificial Intelligence Speakers (CLAIS): Pre-Service Elementary Science Teachers' Responses to the Prototype
This research aims to demonstrate that AI can function not only as a tool for learning, but also as an intelligent agent with which humans can engage in collaborative learning (CL) to change epistemic practices in science classrooms.
Multimodality of AI for Education: Towards Artificial General Intelligence
This paper presents a comprehensive examination of how multimodal artificial intelligence (AI) approaches are paving the way towards the realization of Artificial General Intelligence (AGI) in educational contexts.
Applying Large Language Models and Chain-of-Thought for Automatic Scoring
We found a more balanced accuracy across different proficiency categories when CoT was used with a scoring rubric, highlighting the importance of domain-specific reasoning in enhancing the effectiveness of LLMs in scoring tasks.
NERIF: GPT-4V for Automatic Scoring of Drawn Models
The results of this study show that utilizing GPT-4V for automatic scoring of student-drawn models is promising.
Using GPT-4 to Augment Unbalanced Data for Automatic Scoring
The average maximum increase observed across two items is: 3. 5% for accuracy, 30. 6% for precision, 21. 1% for recall, and 24. 2% for F1 score.
Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoning
Our study demonstrates the potential of applying large language models to educational practice on STEM subjects.
