Analyzing Students’ Behavior in a MOOC Course: A Process-Oriented Approach

Franklin Bernal, Jorge Maldonado-Mahauad, Klinge Villalba-Condori, Miguel Zúñiga-Prieto, Jaime Veintimilla-Reyes, Magali Mejía

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)


Massive Open Online Courses (MOOCs), are one of the most disruptive trends along the last 12 years. This is evidenced by the number of students enrolled since their emergence with over 101 million people taking one of the more than 11,400 MOOCs available. However, the approval rate of students in these types of courses is only about 5%. This has led to a great deal of interest among researchers in studying students’ behavior in these types of courses. The aim of this article is to explore the behavior of students in a MOOC. Specifically, to study students learning sequences and extract their behavioral patterns in the different study sessions. To reach the goal, using process mining techniques, process models of N = 1,550 students enrolled in a MOOC in Coursera were obtained. As a result, two groups of students were classified according to their study sessions, where differences were found both in the students’ interactions with the MOOC resources and in the way the lessons were approached on a weekly basis. In addition, students who passed the course repeated the assessments several times until they passed, without returning to review a video-lecture in advance. The results of this work contribute to extend the knowledge about students’ behavior in online environments.

Idioma originalInglés
Título de la publicación alojadaHCI International 2020 – Late Breaking Papers
Subtítulo de la publicación alojadaCognition, Learning and Games - 22nd HCI International Conference, HCII 2020, Proceedings
EditoresConstantine Stephanidis, Don Harris, Wen-Chin Li, Dylan D. Schmorrow, Cali M. Fidopiastis, Panayiotis Zaphiris, Andri Ioannou, Andri Ioannou, Xiaowen Fang, Robert A. Sottilare, Jessica Schwarz
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas19
ISBN (versión impresa)9783030601270
EstadoPublicada - 2020
Publicado de forma externa
Evento22nd International Conference on Human-Computer Interaction,HCII 2020 - Copenhagen, Dinamarca
Duración: 19 jul. 202024 jul. 2020

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen12425 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349


Conferencia22nd International Conference on Human-Computer Interaction,HCII 2020


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