| Vol-3059 urn:nbn:de:0074-3059-9 Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# LALA 2021
Learning Analytics for Latin America

### Proceedings of the IV Latin American Conference on Learning Analytics

### Arequipa, Perú, October 19-21, 2021.

Edited by

### Klinge Orlando Villalba-Condori *
Jorge Maldonado-Mahauad **

* Universidad Católica de Santa María, Calle San José s/n Umacollo Arequipa, Perú
** Universidad de Cuenca, Av. 12 de Abril. Solorzano Cuenca, Ecuador

## Table of Contents

- Preface

- Adopting Learning Analytics in a Brazilian Higher Education Institution: Ideal and Predicted Expectations 8-17
  Samantha Garcia, Elaine Cristina Moreira Marques, Rafael Ferreira Mello, Dragan Gasevic, Rodrigo Lins Rodrigues, Taciana Pontual Falcão
- Proposal for the Design and Implementation of Miranda: A Chatbot-Type Recommender for Supporting Self-Regulated Learning in Online Environments 18-28
  Mauricio Calle, Edwin Narvaez, Jorge Maldonado-Mahauad
- Applying Group Formation in Practice on a Brazilian Postgraduate Course 29-38
  Giuseppe Fiorentino, Péricles Miranda, André Nascimento, Ana Paula Cavalcanti Furtado, Rafael Ferreira Mello
- Linking Engagement Profiles to Academic Performance Through SNA and Cluster Analysis on Discussion Forum Data 39-47
  Pamella de Oliveira, Gabriel da Silva, Raphael Dourado, Rodrigo Rodrigues
- Modelling Computer Engineering Student Trajectories with Process Mining 48-57
  Pablo Martinez, Oscar Montañes, Juan Manuel Serralta, Libertad Tansini
- A Chatbot to Support Basic Students Questions 58-67
  Rafael Santana, Saulo Ferreira, Vitor Rolim, Péricles Miranda, André Nascimento, Rafael Ferreira Mello
- Using Relational Inference Engine to Answer Questions 68-77
  Elias Oliveira, Jaimel Lima, Gabriel Dias, Juliana Pirovani
- Learning Analytics in Computer Programming Courses 78-87
  Edna Chaparro, Felipe Restrepo-Calle, Jhon Jairo Ramírez Echeverry
- Machine Learning for Learning Personalization to Enhance Student Academic Performance 88-99
  Juan Carlos Muñoz-Carpio, Zohaib Jan, Angelo Saavedra
- Dicrev-Dash: Proposal for the Design, Creation and Evaluation of a Dashboard for Data Visualization 100-110
  María Delgado, Diego Pando, Jorge Maldonado-Mahauad

2021-12-19: submitted by Klinge Orlando Villalba Condori, metadata incl. bibliographic data published under Creative Commons CC0
2021-12-27: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|