A Learning Analytics Dashboard for Moodle: Implementing Machine Learning Techniques to Early Detect Students at Risk of Failure

Cechinel, Cristian; Santos, Mateus De Freitas Dos; Barrozo, Caio; Schardosim, Jesiel Emerim; Vila, Eduardo de; Ramos, Vinicius; Primo, Tiago Thompsen; Castro-Muñoz, Roberto; Queiroga, Emanuel Marques

doi:10.1109/laclo54177.2021.00019

Cited by 2 publications

(3 citation statements)

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“…Cechinel et al [5] describes the development and evaluation of a learning analytics dashboard for Moodle that displays predictions and insights from Moodle machine learning models. The dashboard uses Moodle machine learning models to early detect students at risk of failure in a course based on their grades, activities, and feedback.…”

Section: Resultsmentioning

confidence: 99%

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Enhancing adaptive learning with Moodle's machine learning

Fadieieva

2021

Educ. Dimens.

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This review explores how Moodle's machine learning capabilities enhance adaptive learning. We analyze five studies using Moodle for predictive and prescriptive support in education. These studies cover topics like learner classification, early risk detection, predictor comparison, reliability analysis, and custom indicators. We extract key findings, and address challenges while suggesting future research directions. This review offers insights for educators and researchers aiming to personalize education with Moodle.

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Section: Resultsmentioning

confidence: 99%

“…The screening process was done manually by reading and evaluating each paper according to the selection criteria. The screening process resulted in five papers [3][4][5][6][7] that were included in this review.…”

Section: Methodsmentioning

confidence: 99%

Enhancing adaptive learning with Moodle's machine learning

Fadieieva

2021

Educ. Dimens.

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“…By integrating tasks from the LMS Moodle, and the LAs data gathered during these tasks into the pedagogical process, the need to wait for subsequent summative tests to determine whether the content has been assimilated is eliminated. This approach facilitates the faster identification of students' difficulties and students at risk of dropping out [37], thereby enabling timely intervention [38,39]. This is crucial to conduct effective daily evaluations of students.…”

Section: Leveraging Tasks In Moodle To Enhance Active and Autonomous ...mentioning

confidence: 99%

Evaluating the Impact of Learning Management Systems in Geographical Education in Primary School: An Experimental Study on the Importance of Learning Analytics-Based Feedback

Tirado-Olivares,

Cózar-Gutiérrez,

González-Calero

et al. 2024

Sustainability

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Traditionally, educational processes were focused on learning theoretical geography content, often supplemented with hands-on activities. However, advances in technology have enabled the integration of Learning Management Systems (LMSs) such as Moodle, which enable students to learn at their own pace, receive instant and individualized feedback about their daily academic performance, and gather more daily information individually based on techniques such as Learning Analytics (LAs). Despite these benefits, there is a lack of evidence supporting this educational approach in primary education. This experimental study, involving 80 fifth-grade students, aims to address this gap while investigating the territorial and socio-economic organization of their environment and comparing two types of feedback provided: simply the correct answer (control group), and more extensive (experimental group). The findings suggest that the implementation of Moodle tasks facilitates learning, irrespective of the type of feedback provided. However, students rated activities higher in terms of usefulness and satisfaction with the teaching–learning process when extensive feedback was provided. Additionally, the daily data collected proved useful for teachers in predicting students’ final outcomes. These results highlight the potential benefits of carrying out activities in Moodle, despite their short duration, particularly at this academic level and within this knowledge domain.

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A Learning Analytics Dashboard for Moodle: Implementing Machine Learning Techniques to Early Detect Students at Risk of Failure

Cited by 2 publications

References 20 publications

Enhancing adaptive learning with Moodle's machine learning

Enhancing adaptive learning with Moodle's machine learning

Evaluating the Impact of Learning Management Systems in Geographical Education in Primary School: An Experimental Study on the Importance of Learning Analytics-Based Feedback

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