A Systematic Literature Review of Technology‐Assisted Vocabulary Learning.
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| Title: | A Systematic Literature Review of Technology‐Assisted Vocabulary Learning. |
|---|---|
| Authors: | Simonnet, Enzo1,2, Loiseau, Mathieu1 mathieu.loiseau@insa-lyon.fr, Lavoué, Élise1,2 |
| Source: | Journal of Computer Assisted Learning. Feb2025, Vol. 41 Issue 1, p1-29. 29p. |
| Subjects: | Student satisfaction, Teaching methods, Motivation (Psychology), Ability, Vocabulary, Computer assisted instruction, Teacher-student relationships, Interpersonal relations, Training |
| Abstract: | Background: Vocabulary learning is an essential dimension of foreign language learning. The learners have a huge responsibility in this task. Among other factors, time constraints and an overall lack of maintained motivation on the part of students makes it especially challenging. Consequently, improving vocabulary learning requires strategies to motivate learners and encourage autonomous learning. Technology‐Assisted Vocabulary Learning (tavl) aims to provide solutions to this set of problems. Objectives: We aim to provide an overview of the different types of TAVL tools developed and studied since 2015 with regard to (1) tool features, (2) observed variables and research methods used in the studies and (3) impact on learners' vocabulary acquisition, motivation and engagement. Method: We conducted a systematic review of the literature between 2015 and 2023 on TAVL. After delineating our field of study and research query, we followed a rigorous methodology to extract relevant papers to answer our research questions. A total of 44 papers of different languages and academic levels were selected for this review. Results and Conclusions: We report a wide variety of features provided by TAVL tools in various contexts. We observe an overall positive influence of TAVL tools on learners' vocabulary learning, motivation, flow and engagement. We also discuss potential biases in the studies, which do not allow generalisation of the results. We conclude with recommendations for developers and researchers, including the use of more standardised experimental protocols with comparable measures, the integration of collaborative and social features, and a more central role for teachers and academic learning contexts. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Computer Assisted Learning is the property of Wiley-Blackwell 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: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 183981445 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Systematic Literature Review of Technology‐Assisted Vocabulary Learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Simonnet%2C+Enzo%22">Simonnet, Enzo</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Loiseau%2C+Mathieu%22">Loiseau, Mathieu</searchLink><relatesTo>1</relatesTo><i> mathieu.loiseau@insa-lyon.fr</i><br /><searchLink fieldCode="AR" term="%22Lavoué%2C+Élise%22">Lavoué, Élise</searchLink><relatesTo>1,2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer+Assisted+Learning%22">Journal of Computer Assisted Learning</searchLink>. Feb2025, Vol. 41 Issue 1, p1-29. 29p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Student+satisfaction%22">Student satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+methods%22">Teaching methods</searchLink><br /><searchLink fieldCode="DE" term="%22Motivation+%28Psychology%29%22">Motivation (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Ability%22">Ability</searchLink><br /><searchLink fieldCode="DE" term="%22Vocabulary%22">Vocabulary</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+assisted+instruction%22">Computer assisted instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher-student+relationships%22">Teacher-student relationships</searchLink><br /><searchLink fieldCode="DE" term="%22Interpersonal+relations%22">Interpersonal relations</searchLink><br /><searchLink fieldCode="DE" term="%22Training%22">Training</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: Vocabulary learning is an essential dimension of foreign language learning. The learners have a huge responsibility in this task. Among other factors, time constraints and an overall lack of maintained motivation on the part of students makes it especially challenging. Consequently, improving vocabulary learning requires strategies to motivate learners and encourage autonomous learning. Technology‐Assisted Vocabulary Learning (tavl) aims to provide solutions to this set of problems. Objectives: We aim to provide an overview of the different types of TAVL tools developed and studied since 2015 with regard to (1) tool features, (2) observed variables and research methods used in the studies and (3) impact on learners' vocabulary acquisition, motivation and engagement. Method: We conducted a systematic review of the literature between 2015 and 2023 on TAVL. After delineating our field of study and research query, we followed a rigorous methodology to extract relevant papers to answer our research questions. A total of 44 papers of different languages and academic levels were selected for this review. Results and Conclusions: We report a wide variety of features provided by TAVL tools in various contexts. We observe an overall positive influence of TAVL tools on learners' vocabulary learning, motivation, flow and engagement. We also discuss potential biases in the studies, which do not allow generalisation of the results. We conclude with recommendations for developers and researchers, including the use of more standardised experimental protocols with comparable measures, the integration of collaborative and social features, and a more central role for teachers and academic learning contexts. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Computer Assisted Learning is the property of Wiley-Blackwell 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.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/jcal.13096 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 29 StartPage: 1 Subjects: – SubjectFull: Student satisfaction Type: general – SubjectFull: Teaching methods Type: general – SubjectFull: Motivation (Psychology) Type: general – SubjectFull: Ability Type: general – SubjectFull: Vocabulary Type: general – SubjectFull: Computer assisted instruction Type: general – SubjectFull: Teacher-student relationships Type: general – SubjectFull: Interpersonal relations Type: general – SubjectFull: Training Type: general Titles: – TitleFull: A Systematic Literature Review of Technology‐Assisted Vocabulary Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Simonnet, Enzo – PersonEntity: Name: NameFull: Loiseau, Mathieu – PersonEntity: Name: NameFull: Lavoué, Élise IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02664909 Numbering: – Type: volume Value: 41 – Type: issue Value: 1 Titles: – TitleFull: Journal of Computer Assisted Learning Type: main |
| ResultId | 1 |