Learning Analytics to Support the Provision of Feedback in Higher Education: a Systematic Literature Review

Ana Gabriela Nunez Avila; Ivan Francisco Silva Feraud; Lizandro Damian Solano-Quinde; Miguel Zuniga-Prieto; Vanessa Echeverria; Tinne De Laet

doi:10.1109/LACLO56648.2022.10013324

Learning Analytics to Support the Provision of Feedback in Higher Education: a Systematic Literature Review

Ana Gabriela Nunez Avila
, Ivan Francisco Silva Feraud
, Lizandro Damian Solano-Quinde
, Miguel Zuniga-Prieto
, Vanessa Echeverria
, Tinne De Laet

Escuela Superior Politécnica del Litoral
Universidad de Cuenca
KU Leuven

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

4 Scopus citations

Abstract

The digital transformation in higher education (HE) makes it important for students to acquire self-regulated learning (SRL) skills. Timely feedback is considered a powerful means for developing these skills, and learning analytics (LA) is a promising approach for high-quality and scalable feedback. This paper presents a systematic literature review on LA feedback tools to improve SRL skills in HE hereby contributing to the understanding of the current state of the art and the identification of remaining existing gaps. After reviewing 31 articles, our results indicate that research on LA feedback tools to support SRL is relatively limited and these investigations often lack a solid theoretical basis in SRL. We also found that these LA feedback tools are mostly targeted to students, and that there is a limited evaluation of the impact of these LA feedback tools. This systematic literature review calls to action to perform empirical research for measuring the impact of these tools.

Original language	English
Title of host publication	2022 17th Latin American Conference on Learning Technologies, LACLO 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665465212
DOIs	https://doi.org/10.1109/LACLO56648.2022.10013324
State	Published - 2022
Event	17th Latin American Conference on Learning Technologies, LACLO 2022 - Armenia, Colombia Duration: 17 Oct 2022 → 21 Oct 2022

Publication series

Name	2022 17th Latin American Conference on Learning Technologies, LACLO 2022

Conference

Conference	17th Latin American Conference on Learning Technologies, LACLO 2022
Country/Territory	Colombia
City	Armenia
Period	17/10/22 → 21/10/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Keywords

Feedback
Higher Education 1
Learning analytics
Self-Regulation Learning
Time Management

Access to Document

10.1109/LACLO56648.2022.10013324

Cite this

Avila, A. G. N., Silva Feraud, I. F., Solano-Quinde, L. D., Zuniga-Prieto, M., Echeverria, V., & De Laet, T. (2022). Learning Analytics to Support the Provision of Feedback in Higher Education: a Systematic Literature Review. In 2022 17th Latin American Conference on Learning Technologies, LACLO 2022 (2022 17th Latin American Conference on Learning Technologies, LACLO 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LACLO56648.2022.10013324

Avila, Ana Gabriela Nunez ; Silva Feraud, Ivan Francisco ; Solano-Quinde, Lizandro Damian et al. / Learning Analytics to Support the Provision of Feedback in Higher Education : a Systematic Literature Review. 2022 17th Latin American Conference on Learning Technologies, LACLO 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 17th Latin American Conference on Learning Technologies, LACLO 2022).

@inproceedings{c46817f5bb3a4fd3ad85f19826c6c16c,

title = "Learning Analytics to Support the Provision of Feedback in Higher Education: a Systematic Literature Review",

abstract = "The digital transformation in higher education (HE) makes it important for students to acquire self-regulated learning (SRL) skills. Timely feedback is considered a powerful means for developing these skills, and learning analytics (LA) is a promising approach for high-quality and scalable feedback. This paper presents a systematic literature review on LA feedback tools to improve SRL skills in HE hereby contributing to the understanding of the current state of the art and the identification of remaining existing gaps. After reviewing 31 articles, our results indicate that research on LA feedback tools to support SRL is relatively limited and these investigations often lack a solid theoretical basis in SRL. We also found that these LA feedback tools are mostly targeted to students, and that there is a limited evaluation of the impact of these LA feedback tools. This systematic literature review calls to action to perform empirical research for measuring the impact of these tools.",

keywords = "Feedback, Higher Education 1, Learning analytics, Self-Regulation Learning, Time Management",

author = "Avila, \{Ana Gabriela Nunez\} and \{Silva Feraud\}, \{Ivan Francisco\} and Solano-Quinde, \{Lizandro Damian\} and Miguel Zuniga-Prieto and Vanessa Echeverria and \{De Laet\}, Tinne",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 17th Latin American Conference on Learning Technologies, LACLO 2022 ; Conference date: 17-10-2022 Through 21-10-2022",

year = "2022",

doi = "10.1109/LACLO56648.2022.10013324",

language = "Ingl{\'e}s",

series = "2022 17th Latin American Conference on Learning Technologies, LACLO 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 17th Latin American Conference on Learning Technologies, LACLO 2022",

}

Avila, AGN, Silva Feraud, IF, Solano-Quinde, LD, Zuniga-Prieto, M, Echeverria, V & De Laet, T 2022, Learning Analytics to Support the Provision of Feedback in Higher Education: a Systematic Literature Review. in 2022 17th Latin American Conference on Learning Technologies, LACLO 2022. 2022 17th Latin American Conference on Learning Technologies, LACLO 2022, Institute of Electrical and Electronics Engineers Inc., 17th Latin American Conference on Learning Technologies, LACLO 2022, Armenia, Colombia, 17/10/22. https://doi.org/10.1109/LACLO56648.2022.10013324

Learning Analytics to Support the Provision of Feedback in Higher Education: a Systematic Literature Review. / Avila, Ana Gabriela Nunez; Silva Feraud, Ivan Francisco; Solano-Quinde, Lizandro Damian et al.
2022 17th Latin American Conference on Learning Technologies, LACLO 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 17th Latin American Conference on Learning Technologies, LACLO 2022).

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

TY - GEN

T1 - Learning Analytics to Support the Provision of Feedback in Higher Education

T2 - 17th Latin American Conference on Learning Technologies, LACLO 2022

AU - Avila, Ana Gabriela Nunez

AU - Silva Feraud, Ivan Francisco

AU - Solano-Quinde, Lizandro Damian

AU - Zuniga-Prieto, Miguel

AU - Echeverria, Vanessa

AU - De Laet, Tinne

PY - 2022

Y1 - 2022

N2 - The digital transformation in higher education (HE) makes it important for students to acquire self-regulated learning (SRL) skills. Timely feedback is considered a powerful means for developing these skills, and learning analytics (LA) is a promising approach for high-quality and scalable feedback. This paper presents a systematic literature review on LA feedback tools to improve SRL skills in HE hereby contributing to the understanding of the current state of the art and the identification of remaining existing gaps. After reviewing 31 articles, our results indicate that research on LA feedback tools to support SRL is relatively limited and these investigations often lack a solid theoretical basis in SRL. We also found that these LA feedback tools are mostly targeted to students, and that there is a limited evaluation of the impact of these LA feedback tools. This systematic literature review calls to action to perform empirical research for measuring the impact of these tools.

AB - The digital transformation in higher education (HE) makes it important for students to acquire self-regulated learning (SRL) skills. Timely feedback is considered a powerful means for developing these skills, and learning analytics (LA) is a promising approach for high-quality and scalable feedback. This paper presents a systematic literature review on LA feedback tools to improve SRL skills in HE hereby contributing to the understanding of the current state of the art and the identification of remaining existing gaps. After reviewing 31 articles, our results indicate that research on LA feedback tools to support SRL is relatively limited and these investigations often lack a solid theoretical basis in SRL. We also found that these LA feedback tools are mostly targeted to students, and that there is a limited evaluation of the impact of these LA feedback tools. This systematic literature review calls to action to perform empirical research for measuring the impact of these tools.

KW - Feedback

KW - Higher Education 1

KW - Learning analytics

KW - Self-Regulation Learning

KW - Time Management

UR - https://publicaciones.ucuenca.edu.ec/ojs/index.php/pucara/article/view/3945

U2 - 10.1109/LACLO56648.2022.10013324

DO - 10.1109/LACLO56648.2022.10013324

M3 - Contribución a la conferencia

AN - SCOPUS:85147730377

T3 - 2022 17th Latin American Conference on Learning Technologies, LACLO 2022

BT - 2022 17th Latin American Conference on Learning Technologies, LACLO 2022

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 17 October 2022 through 21 October 2022

ER -

Avila AGN, Silva Feraud IF, Solano-Quinde LD, Zuniga-Prieto M, Echeverria V, De Laet T. Learning Analytics to Support the Provision of Feedback in Higher Education: a Systematic Literature Review. In 2022 17th Latin American Conference on Learning Technologies, LACLO 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 17th Latin American Conference on Learning Technologies, LACLO 2022). doi: 10.1109/LACLO56648.2022.10013324

Learning Analytics to Support the Provision of Feedback in Higher Education: a Systematic Literature Review

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this