Active Methodology, Educational Data Mining and Learning Analytics: A Systematic Mapping Study.
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| Title: | Active Methodology, Educational Data Mining and Learning Analytics: A Systematic Mapping Study. |
|---|---|
| Authors: | ANDRADE, Tiago Luís de1 tiago@unemat.br, RIGO, Sandro José1 rigo@unisinos.br, BARBOSA, Jorge Luis Victória1 jbarbosa@unisinos.br |
| Source: | Informatics in Education. May2021, Vol. 20 Issue 2, p171-203. 33p. |
| Subject Terms: | *Psychology of students, *School dropouts, *Distance education, Data mining, Digital technology |
| Abstract: | Distance Learning has enabled educational practices based on digital platforms, generating massive amounts of data. Several initiatives use this data to identify dropout contexts, mainly providing teacher support about student behavior. Approaches such as Active Methodologies are known as having good potential to involve and motivate students. This article presents a systematic mapping aiming to identify current Educational Data Mining and Learning Analytics methods. Besides, we identify Active Methodologies’ application to mitigate dropout in Distance Learning. We evaluated 668 papers published from January 2015 to March 2020. The results indicate a growing application of Educational Data Mining and Learning Analytics to identify and mitigate students’ abandonment in Distance Learning. However, studies with Active Methodologies to minimize dropout and enhance student permanence are scarce. Some works suggest Active Methods as a possible complement of Learning Analytics in dropout. [ABSTRACT FROM AUTHOR] |
| Copyright of Informatics in Education is the property of Informatics in Education and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 150914353 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.15388/infedu.2021.09 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 33 StartPage: 171 Subjects: – SubjectFull: Psychology of students Type: general – SubjectFull: School dropouts Type: general – SubjectFull: Distance education Type: general – SubjectFull: Data mining Type: general – SubjectFull: Digital technology Type: general Titles: – TitleFull: Active Methodology, Educational Data Mining and Learning Analytics: A Systematic Mapping Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: ANDRADE, Tiago Luís de – PersonEntity: Name: NameFull: RIGO, Sandro José – PersonEntity: Name: NameFull: BARBOSA, Jorge Luis Victória IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 16485831 Numbering: – Type: volume Value: 20 – Type: issue Value: 2 Titles: – TitleFull: Informatics in Education Type: main |
| ResultId | 1 |
