Sequence of signs for mechanical comments in teacher training
Links table
Abstract and 1 introduction
2. The background
2.1 Effective teaching practice
2.2 Reactions for teacher training
2.3 Signs sequence to generate comments
2.4 Great language models in education
3. The method
3.1 Data set and 3.2 sequence modes
3.3 GPT made signs of sequences
3.4 Measurements
4. Results
4.1 Results on RQ1
4.2 Results on RQ2
5. Discussion
6. Restrictions and future works
7. Conclusion
8. Thanks and appreciation
9. References
Excessive
Lesson principles
B. Inputs to set GPT-3.5
Jim is scattered from the relationship on the results based on the results
D. Detailed Results for the GPT-3.5 performance that has been seized
2.3 Signs sequence to generate comments
Series mode, a basic task in treating natural language (NLP), plays a pivotal role in identifying and classifying the main parts of the text according to the previously defined signs. [26]. To clarify the mechanism of setting serial marks, we consider identifying the ner -called entity as a representative sub -task, which is closed to the task in our study. NER seeks to discover and classify entities called automatically – words or phrases with specific features – categories like a person, organization and site [26, 36]. For example, in the sentence “John said that Pittsburgh is great in the winter“Conditions”John“,”PittsburghAnd “and”winter“It will be classified as a person, location and time, respectively, showcasing how to distinguish Ner and classify entities in a text context.
Our study expands the application of serial signs to identify components related to different types of praise within the teacher’s responses. This process includes distinguishing specific words or phrases indicating the type of praise that is used, providing teachers with an insight into their counter -feeding practices. For example, “You are doing a great job.” , The phrase “Do a great job“In this context, it is determined as a results based on the results. The use of the sequence of our artificial intelligence model allows us to highlight “Saying” Doing a Wonderful job “praises the student with the result. You should focus on praising students for their effort and their process of learning. Do you want to try to respond again?This approach facilitates generating targeted reactions based on the template for teachers.
It is worth noting, while previous research explored the techniques of setting serial signs for similar purposes [40]The accuracy of its proposed models remains in identifying the elements of the comments and classifying them with a challenge. This restriction emphasizes the need to take advantage of the most advanced models to provide accurate and useful notes for teachers.