Analyzing the Evolution of Digital Assessment in Education Literature Using Bibliometrics and Natural Language Processing

Abstract

Over the last decade, we have seen a large amount of research being performed in technology-enhanced learning. Within this area, the use of digital assessment has been gaining a lot of popularity. Researchers aim to identify the main topics in this area, proposing a new methodology to perform a text analytics and bibliometrics driven approach, using the metadata and full text from papers within the last 15 years. The analysis in this work is focused on three objectives: 1) discover which are the main topics based on topic modeling and keywords analysis, 2) discover the evolution of said topics over the last 15 years of research, and 3) discover the primary authors and papers, along with hidden relationships between existing communities.