Identifying Students' Weaknesses and Strengths Based on Online Discussion using Topic Modeling
Vitor Rolim, Rafael Ferreira Mello, Máverick André Dionísio Ferreira, Anderson Pinheiro Cavalcanti, Rinaldo J. Lima · 2019
This paper proposes a topic model-based approach to extract students' weaknesses and strength based on Latent Dirichlet Allocation (LDA). Our approach combines textual data extracted from online discussion forums written by students with external sources like Wikipedia. The results show the effectiveness of the proposed approach to create a user profile based on the topics covered by the students in discussion forums.