Deep-Knowledge-Tracing icon indicating copy to clipboard operation
Deep-Knowledge-Tracing copied to clipboard

An implementation of the Deep Knowledge Tracing (DKT) using Tensorflow 2.0

Results 12 Deep-Knowledge-Tracing issues
Sort by recently updated
recently updated
newest added

Hello there Appreciate your codes first! btw i wanna know its probability of skill and can you pls let me know how can i find it? Many thanks

This is the first Neural Network I really work with. I trained the model a few days ago. But I dont quite get how to predict a Students probability of...

Hi there! Thanks for your implementation. I would like to clarify a doubt, if possible. From the data_util.py file we can observe: ``` # Step 4 - Convert to a...

Hey @lccasagrande, You have done something like this while creating dataset. df['skill_with_answer'] = df['skill'] * 2 + df['correct'] so when we want to predict the probability of getting a question...

Hi Luca, I am actually working on Knowledge Tracing for my thesis. I looked at your code to see if I could find a DKT model as baseline. While trying...

Hi. Thank you for the code. I have a question about the input to the model. I wanna know why you are using both the 24-bit representation and the 13-bit...

I have the trained model, but I wonder how I can actually plug in a point to see its probability. I am not sure here how to do that. How...

evaluate() got an unexpected keyword argument 'x' , l don't know how to solve it.

每个epoch都有80次迭代在代码哪里设置的呢?

When calculating the influence probability from i to j, do you average all predicted conditional probability P(j|i)?Another question is that if the dataset contains N students, do you need to...