Understanding Learners Behavior in Massive Open Online Courses

Jorge Maldonado-Mahauad; Mauricio Calle; Miguel Macias; Christian Moreira; Edwin Narvaez; David Valladarez

doi:10.1109/CLEI52000.2020.00050

Understanding Learners Behavior in Massive Open Online Courses

Jorge Maldonado-Mahauad
, Mauricio Calle
, Miguel Macias
, Christian Moreira
, Edwin Narvaez
, David Valladarez

Pontificia Universidad Católica de Chile
Universidad de Cuenca

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Massive Open Online Courses (MOOCs) are one of the most disruptive trends of recent years, attracting millions of students around the world. This has caught the attention of researchers who seek to understand the behavior of students in these courses. However, despite the efforts, approval rates remain below 5%, so more efforts are needed to understand why students end a MOOC or not. The goal of this work is to study learner's behavior in a MOOC. Specifically, it seeks to understand student interaction sequences with course resources and characterize their study sessions throughout MOOC weeks. For this, using Process Mining techniques, data from N = 38,838 learners enrolled in a MOOC in Coursera were analyzed. As a result of the analysis of learner's interactions with MOOCs, two groups of students were observed as comprehensive and strategic. In addition, differences in learning sequences were found among students from both groups who approved the MOOC. These results help advance current literature and open the debate about whether MOOCs remain open courses or a digital book.

Original language	English
Title of host publication	Proceedings - 2020 46th Latin American Computing Conference, CLEI 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	377-386
Number of pages	10
ISBN (Electronic)	9780738130644
DOIs	https://doi.org/10.1109/CLEI52000.2020.00050
State	Published - Oct 2020
Event	46th Latin American Computing Conference, CLEI 2020 - Virtual, Loja, Ecuador Duration: 19 Oct 2020 → 23 Oct 2020

Publication series

Name	Proceedings - 2020 46th Latin American Computing Conference, CLEI 2020

Conference

Conference	46th Latin American Computing Conference, CLEI 2020
Country/Territory	Ecuador
City	Virtual, Loja
Period	19/10/20 → 23/10/20

Keywords

Learning
MOOCs
Patterns
Process Mining

Access to Document

10.1109/CLEI52000.2020.00050

Cite this

Maldonado-Mahauad, J., Calle, M., Macias, M., Moreira, C., Narvaez, E., & Valladarez, D. (2020). Understanding Learners Behavior in Massive Open Online Courses. In Proceedings - 2020 46th Latin American Computing Conference, CLEI 2020 (pp. 377-386). Article 9458355 (Proceedings - 2020 46th Latin American Computing Conference, CLEI 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CLEI52000.2020.00050

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title = "Understanding Learners Behavior in Massive Open Online Courses",

abstract = "Massive Open Online Courses (MOOCs) are one of the most disruptive trends of recent years, attracting millions of students around the world. This has caught the attention of researchers who seek to understand the behavior of students in these courses. However, despite the efforts, approval rates remain below 5\%, so more efforts are needed to understand why students end a MOOC or not. The goal of this work is to study learner's behavior in a MOOC. Specifically, it seeks to understand student interaction sequences with course resources and characterize their study sessions throughout MOOC weeks. For this, using Process Mining techniques, data from N = 38,838 learners enrolled in a MOOC in Coursera were analyzed. As a result of the analysis of learner's interactions with MOOCs, two groups of students were observed as comprehensive and strategic. In addition, differences in learning sequences were found among students from both groups who approved the MOOC. These results help advance current literature and open the debate about whether MOOCs remain open courses or a digital book.",

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author = "Jorge Maldonado-Mahauad and Mauricio Calle and Miguel Macias and Christian Moreira and Edwin Narvaez and David Valladarez",

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year = "2020",

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Maldonado-Mahauad, J, Calle, M, Macias, M, Moreira, C, Narvaez, E & Valladarez, D 2020, Understanding Learners Behavior in Massive Open Online Courses. in Proceedings - 2020 46th Latin American Computing Conference, CLEI 2020., 9458355, Proceedings - 2020 46th Latin American Computing Conference, CLEI 2020, Institute of Electrical and Electronics Engineers Inc., pp. 377-386, 46th Latin American Computing Conference, CLEI 2020, Virtual, Loja, Ecuador, 19/10/20. https://doi.org/10.1109/CLEI52000.2020.00050

Understanding Learners Behavior in Massive Open Online Courses. / Maldonado-Mahauad, Jorge; Calle, Mauricio; Macias, Miguel et al.
Proceedings - 2020 46th Latin American Computing Conference, CLEI 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 377-386 9458355 (Proceedings - 2020 46th Latin American Computing Conference, CLEI 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Understanding Learners Behavior in Massive Open Online Courses

AU - Maldonado-Mahauad, Jorge

AU - Calle, Mauricio

AU - Macias, Miguel

AU - Moreira, Christian

AU - Narvaez, Edwin

AU - Valladarez, David

PY - 2020/10

Y1 - 2020/10

N2 - Massive Open Online Courses (MOOCs) are one of the most disruptive trends of recent years, attracting millions of students around the world. This has caught the attention of researchers who seek to understand the behavior of students in these courses. However, despite the efforts, approval rates remain below 5%, so more efforts are needed to understand why students end a MOOC or not. The goal of this work is to study learner's behavior in a MOOC. Specifically, it seeks to understand student interaction sequences with course resources and characterize their study sessions throughout MOOC weeks. For this, using Process Mining techniques, data from N = 38,838 learners enrolled in a MOOC in Coursera were analyzed. As a result of the analysis of learner's interactions with MOOCs, two groups of students were observed as comprehensive and strategic. In addition, differences in learning sequences were found among students from both groups who approved the MOOC. These results help advance current literature and open the debate about whether MOOCs remain open courses or a digital book.

AB - Massive Open Online Courses (MOOCs) are one of the most disruptive trends of recent years, attracting millions of students around the world. This has caught the attention of researchers who seek to understand the behavior of students in these courses. However, despite the efforts, approval rates remain below 5%, so more efforts are needed to understand why students end a MOOC or not. The goal of this work is to study learner's behavior in a MOOC. Specifically, it seeks to understand student interaction sequences with course resources and characterize their study sessions throughout MOOC weeks. For this, using Process Mining techniques, data from N = 38,838 learners enrolled in a MOOC in Coursera were analyzed. As a result of the analysis of learner's interactions with MOOCs, two groups of students were observed as comprehensive and strategic. In addition, differences in learning sequences were found among students from both groups who approved the MOOC. These results help advance current literature and open the debate about whether MOOCs remain open courses or a digital book.

KW - Learning

KW - MOOCs

KW - Patterns

KW - Process Mining

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DO - 10.1109/CLEI52000.2020.00050

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BT - Proceedings - 2020 46th Latin American Computing Conference, CLEI 2020

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Maldonado-Mahauad J, Calle M, Macias M, Moreira C, Narvaez E, Valladarez D. Understanding Learners Behavior in Massive Open Online Courses. In Proceedings - 2020 46th Latin American Computing Conference, CLEI 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 377-386. 9458355. (Proceedings - 2020 46th Latin American Computing Conference, CLEI 2020). doi: 10.1109/CLEI52000.2020.00050

Understanding Learners Behavior in Massive Open Online Courses

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Learning analytics for the study of self -regulated learning strategies in a context of hybrid learning

Cite this

Understanding Learners Behavior in Massive Open Online Courses

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Learning analytics for the study of self -regulated learning strategies in a context of hybrid learning

Cite this