A Topic Modeling Approach to Analyze Teaching Innovation Projects

Topic modeling is a data mining strategy that permit to automatically extract the topics discussed in a given corpus. The objective of this study is to discover the topics that are common in a set of educational innovation projects proposed by university teachers. The LDA algorithm, which is a generative probabilistic model, was used. To identify the correct number of topics the coherence and perplexity metrics were applied. Ten topics were obtained, which, among other aspects, reflect the careers and subjects that work the most in educational innovation projects, as well as the methodologies, strategies and resources that teachers use in their projects.