V. Rolim

This paper presents an approach to automatic labeling of the content of messages in online discussion according to the categories of social presence. Expand

We show how topic modeling and epistemic network analysis can provide qualitatively new insight into students’ development of critical and deep thinking skills in online learning environments. Expand

This paper presents a method for automated content analysis of students’ messages in asynchronous discussions written in Portuguese for the levels of cognitive presence, a key construct in a widely used Community of Inquiry model of online learning. Expand

A network-based approach to uncovering the relationship between the elements of social and cognitive presences in a community of inquiry. Expand

This work aims to present a new approach to measure the similarity between sentences written in Portuguese using statistical and deep learning features to overcome the meaning problems. Expand

This paper presents an approach to studying relationships between students' social presence and course topics from transcripts of asynchronous discussions in online learning environments. Expand

Learning Analytics and Knowledge (LAK) and Educational Data Mining (EDM) are two of the most popular venues for researchers and practitioners to report and disseminate discoveries in data-intensive research on technology-enhanced education. Expand

This paper reports on the findings of an analysis of the quality of feedback provided by instructors in an online course. Expand

This paper proposes a topic model-based approach to extract students' weaknesses and strength based on Latent Dirichlet Allocation (LDA). Expand

We used the OSBLE+ Social Programming Environment to leverage social and programming data for the basis of automatically generated prompts inserted into the SPE to stimulate help-seeking, help-giving, and social interaction in the learning environment. Expand