Enhancing the Analysis of Interdisciplinary Learning Quality with GPT Models: Fine-Tuning and Knowledge-Empowered Approaches.
Tianlong ZhongChang CaiGaoxia ZhuMin MaPublished in: AIED Companion (2) (2024)
Keyphrases
- fine tuning
- prior knowledge
- learning systems
- learning models
- knowledge acquisition
- learned models
- previously learned
- learning algorithm
- reinforcement learning
- effective learning
- background knowledge
- knowledge management
- supervised learning
- high quality
- data mining techniques
- qualitative models
- probabilistic model
- domain knowledge
- data analysis
- learning tasks
- empirical data
- hidden variables
- knowledge transfer
- knowledge level
- bayesian methods
- computational approaches
- human knowledge
- learning paradigms
- machine learning algorithms
- statistical analysis
- underlying assumptions
- procedural knowledge
- viable alternative
- cognitive models
- acquire knowledge
- human experts
- accurate models
- organizational learning
- computational models
- learning problems
- human computer interaction
- knowledge based systems
- knowledge discovery
- knowledge base
- artificial intelligence