1 research outputs found
Wide-Scale Automatic Analysis of 20 Years of ITS Research
The analysis of literature within a research domain can provide significant
value during preliminary research. While literature reviews may provide an
in-depth understanding of current studies within an area, they are limited by the
number of studies which they take into account. Importantly, whilst publications
in hot areas abound, it is not feasible for an individual or team to analyse a large
volume of publications within a reasonable amount of time. Additionally, major
publications which have gained a large number of citations are more likely to be
included in a review, with recent or fringe publications receiving less inclusion.
We provide thus an automatic methodology for the large-scale analysis of literature
within the Intelligent Tutoring Systems (ITS) domain, with the aim of identifying
trends and areas of research from a corpus of publications which is significantly
larger than is typically presented in conventional literature reviews. We
illustrate this by a novel analysis of 20 years of ITS research. The resulting analysis
indicates a significant shift of the status quo of research in recent years with
the advent of novel neural network architectures and the introduction of MOOCs