Here, we regard the current exercise stem and the identical ideas of information with randomly choose an exercise analysis as a adverse example(T3-). We establish two limitations of the current work and make solutions for future directions. Our current filtering course of only eliminates issues with incorrect formatting. In our method, we integrate knowledge tracing and studying status into the distillation process to establish a robust connection between the LLM instructor and the pupil model, yielding a more interactive and customised studying expertise. The upper number of available examples, which also cowl a better variability, could result in extra sturdy options and thus to increased efficiency in the evaluation of the different workouts.
