From 54d3e6e92fe5a167c1893e4fd8cd6ef4e4e7c5aa Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mar=20P=C3=A9rez-Sanagust=C3=ADn?= <mar.perez-sanagustin@irit.fr> Date: Sat, 16 May 2020 09:51:56 -0500 Subject: [PATCH] Update README.md --- README.md | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 2792dc8..e1055dc 100644 --- a/README.md +++ b/README.md @@ -1,10 +1,9 @@ +**Systems developed by the Pontificia Univesidad Católica de Chile as part of the LALA project. ** +Authors: Mar Pérez-SanagustÃn, Ronald Pérez-Ãlvarez, Jorge Manuel Maldonado-Mahauad -Systems developed for ESPOL as part of the LALA project. - - -Counseling System: Describes new visualizations to the current system with the aim of facilitating the decision making of the counselor during his session. - -Academic Dropout Early Warning System: Describes the process by which algorithms and tool visualizations were developed to predict early dropout in students. Early abandonment prediction tools were made by adapting early prediction tools from the Carlos III University of Madrid (Moreno-Marcos, Muñoz-Merino, Alario-Hoyos, Delgado Kloos, 2018) +* **Dahsboard NoteMyProgress:** Web Dashboard developed Ruby on Rails for the Coursera platform. It proposes a set of visualizations to help students' self-regulate in MOOCs deployed in Coursera. +* **NoteMyProgress Plugin:** A plugin for Google Chrome developed for being used with teh Coursera platform. It is a complement to the Dashboard NoteMyProgress. +* **Early Dropout Prediction:** Describes the process by which algorithms and tool visualizations were developed to predict early dropout in students. Early abandonment prediction of students' in MOOCs considering their activity in the MOOC. This work has been developed togehter with the the Carlos III University of Madrid (Moreno-Marcos, Muñoz-Merino, Delgado Kloos)  -- GitLab