Deep Learning was introduced in education domain very recently to trace the learner’s knowledge, which is referred to as Deep Knowledge Tracing (DKT). Knowledge Tracing models the process of knowledge acquisition by tracking learner’s progress/knowledge from interaction to interaction and generates a profile of learner’s strengths and weaknesses. DKT model uses a large hidden layer of LSTM units to model the dynamic and temporal nature of learner’s progression. funtoot is a personalised digital tutor which has more than 1 lakh active students across India. We apply Deep Knowledge Tracing on a dataset generated by 6th Grade students on funtoot which has more than 5 million datapoints (In education domain, the dataset of this size is a rare find). We compare it with the standard classic knowledge tracing models called Bayesian Knowledge (BKT) and Performance Factor Analysis (PFA). DKT outperforms BKT with a very good margin but DKT and PFA perform equally well. We analyse and understand the gain which DKT acheives over BKT and identify probable reasons (limitations) as to why BKT lags behind. Classic BKT, when tweaked and enhanced to overcome those limitations performs as good as DKT. Though, DKT being comparable to classic simple algorithms an advantage of ability to discover the relationships and interdepencies (pre-requisites) among skills.
Owing to a big hidden layer of LSTM units, DKT has parameters of the order of few hundred thousands, while the classical models like PFA and BKT have approximately few hundreds of them. Comparing just in the amount of parameters and the complexity of the models, DKT does not have an edge over much simpler models. A way to interpret this result is to appreciate the depth of the underlying domain of the problem. It seems the domain of knowledge tracing is shallow and the powerful deep learning models are unneccessary. We will discuss more about this in the talk.
This talk is based on our work published as “Few hundred parameters outperform few hundred thousand?” in Educational Data Mining Conference, 2017 (EDM2017).
Slides and more info: https://anthillinside.talkfunnel.com/...
events in atlanta How Deep is Deep Learning?: Amar Lalwani | |
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