Exploring Strategies to Enhance Students' Information Literacy in Open Education through Mobile Learning Technologies.
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| Title: | Exploring Strategies to Enhance Students' Information Literacy in Open Education through Mobile Learning Technologies. |
|---|---|
| Authors: | Zhang, Di1 hskfdxzd112233@163.com, Liu, Yafeng1 hskd112233@163.com |
| Source: | International Journal of Interactive Mobile Technologies. 2026, Vol. 20 Issue 10, p128-142. 15p. |
| Subjects: | Information literacy, Mobile learning, Educational technology, Contextual learning, Recommender systems, Open universities, Learning analytics, Pre-tests & post-tests |
| Abstract: | The lack of information literacy among learners in open education has become a core bottleneck hindering global access to high-quality education. Existing mobile learning interventions suffer from unclear objectives and fragmented processes, with disputes over the fragmented value of mobile learning remaining unaddressed. Traditional learning analytics frameworks are also inadequate to meet the real-time and contextual needs of ubiquitous mobile learning environments. This study aims to develop a mobile-specific information literacy enhancement framework, ML-ILMDF, based on a contextualized literacy development model. The framework specifies its technical implementation details and establishes dynamic coupling strategies for context and literacy to provide precise interventions. The study systematically validates the educational effectiveness, core mechanism rationality, and engineering feasibility of the framework. A quasi-experimental study with 320 global open university learners, lasting 16 weeks, integrates multi-source mobile data collection, five-dimensional information literacy assessments, and sub-studies using dynamic hypergraphs and collaborative filtering recommendation algorithms for comparison. Simultaneously, the technical performance evaluation of the framework is conducted. The innovation of this study lies in proposing a contextualized literacy development model that achieves dynamic coupling between micro-contexts and macro-literacy, clarifying the mobile-specific technical architecture and implementation details of ML-ILMDF to overcome the limitations of traditional frameworks. It empirically addresses the fragmented nature of mobile learning and offers a practical, actionable paradigm for cultivating information literacy in open education through mobile learning technologies. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies 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 | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194196194 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Exploring Strategies to Enhance Students' Information Literacy in Open Education through Mobile Learning Technologies. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Di%22">Zhang, Di</searchLink><relatesTo>1</relatesTo><i> hskfdxzd112233@163.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Yafeng%22">Liu, Yafeng</searchLink><relatesTo>1</relatesTo><i> hskd112233@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Interactive+Mobile+Technologies%22">International Journal of Interactive Mobile Technologies</searchLink>. 2026, Vol. 20 Issue 10, p128-142. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Information+literacy%22">Information literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+learning%22">Mobile learning</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink><br /><searchLink fieldCode="DE" term="%22Contextual+learning%22">Contextual learning</searchLink><br /><searchLink fieldCode="DE" term="%22Recommender+systems%22">Recommender systems</searchLink><br /><searchLink fieldCode="DE" term="%22Open+universities%22">Open universities</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+analytics%22">Learning analytics</searchLink><br /><searchLink fieldCode="DE" term="%22Pre-tests+%26+post-tests%22">Pre-tests & post-tests</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The lack of information literacy among learners in open education has become a core bottleneck hindering global access to high-quality education. Existing mobile learning interventions suffer from unclear objectives and fragmented processes, with disputes over the fragmented value of mobile learning remaining unaddressed. Traditional learning analytics frameworks are also inadequate to meet the real-time and contextual needs of ubiquitous mobile learning environments. This study aims to develop a mobile-specific information literacy enhancement framework, ML-ILMDF, based on a contextualized literacy development model. The framework specifies its technical implementation details and establishes dynamic coupling strategies for context and literacy to provide precise interventions. The study systematically validates the educational effectiveness, core mechanism rationality, and engineering feasibility of the framework. A quasi-experimental study with 320 global open university learners, lasting 16 weeks, integrates multi-source mobile data collection, five-dimensional information literacy assessments, and sub-studies using dynamic hypergraphs and collaborative filtering recommendation algorithms for comparison. Simultaneously, the technical performance evaluation of the framework is conducted. The innovation of this study lies in proposing a contextualized literacy development model that achieves dynamic coupling between micro-contexts and macro-literacy, clarifying the mobile-specific technical architecture and implementation details of ML-ILMDF to overcome the limitations of traditional frameworks. It empirically addresses the fragmented nature of mobile learning and offers a practical, actionable paradigm for cultivating information literacy in open education through mobile learning technologies. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies 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: 10.3991/ijim.v20i10.61927 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 128 Subjects: – SubjectFull: Information literacy Type: general – SubjectFull: Mobile learning Type: general – SubjectFull: Educational technology Type: general – SubjectFull: Contextual learning Type: general – SubjectFull: Recommender systems Type: general – SubjectFull: Open universities Type: general – SubjectFull: Learning analytics Type: general – SubjectFull: Pre-tests & post-tests Type: general Titles: – TitleFull: Exploring Strategies to Enhance Students' Information Literacy in Open Education through Mobile Learning Technologies. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Di – PersonEntity: Name: NameFull: Liu, Yafeng IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 18657923 Numbering: – Type: volume Value: 20 – Type: issue Value: 10 Titles: – TitleFull: International Journal of Interactive Mobile Technologies Type: main |
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