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Design and Implementation of an Information Literacy Enhancement System for College Students Based on Deep Learning Algorithms

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Title: Design and Implementation of an Information Literacy Enhancement System for College Students Based on Deep Learning Algorithms
Language: English
Authors: Dawei Zhang (ORCID 0009-0006-2519-0244)
Source: International Journal of Web-Based Learning and Teaching Technologies. 2025 20(1).
Availability: IGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/
Peer Reviewed: Y
Page Count: 20
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: College Students, Artificial Intelligence, Information Literacy, Problem Solving, Design, Systems Building, Long Term Memory, Short Term Memory, Algorithms, Technology Uses in Education, Student Behavior, User Needs (Information), Users (Information)
DOI: 10.4018/IJWLTT.367724
ISSN: 1548-1093
1548-1107
Abstract: This article aims to study and implement a deep learning algorithm-based information literacy assistance system for college students to solve the problems of insufficient personalization and untimely feedback in the existing information literacy education methods, so as to improve the information literacy level of college students. This article integrates LSTM networks and attention mechanisms, applies deep learning (DL) algorithms, studies the system requirements, analyzes the system process and architecture, and four modules of user management, learning resources, information literacy testing and recommendation system are studied. Finally, through comparative experiments, it was found that the system studied in this article has excellent performance in improving college students' information literacy, and has high application value and promotion potential.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1462251
Database: ERIC
FullText Text:
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  Data: Design and Implementation of an Information Literacy Enhancement System for College Students Based on Deep Learning Algorithms
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  Data: <searchLink fieldCode="AR" term="%22Dawei+Zhang%22">Dawei Zhang</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0006-2519-0244">0009-0006-2519-0244</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Web-Based+Learning+and+Teaching+Technologies%22"><i>International Journal of Web-Based Learning and Teaching Technologies</i></searchLink>. 2025 20(1).
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  Data: IGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/
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  Data: 20
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Literacy%22">Information Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+Solving%22">Problem Solving</searchLink><br /><searchLink fieldCode="DE" term="%22Design%22">Design</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+Building%22">Systems Building</searchLink><br /><searchLink fieldCode="DE" term="%22Long+Term+Memory%22">Long Term Memory</searchLink><br /><searchLink fieldCode="DE" term="%22Short+Term+Memory%22">Short Term Memory</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Behavior%22">Student Behavior</searchLink><br /><searchLink fieldCode="DE" term="%22User+Needs+%28Information%29%22">User Needs (Information)</searchLink><br /><searchLink fieldCode="DE" term="%22Users+%28Information%29%22">Users (Information)</searchLink>
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  Data: 10.4018/IJWLTT.367724
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  Data: 1548-1093<br />1548-1107
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This article aims to study and implement a deep learning algorithm-based information literacy assistance system for college students to solve the problems of insufficient personalization and untimely feedback in the existing information literacy education methods, so as to improve the information literacy level of college students. This article integrates LSTM networks and attention mechanisms, applies deep learning (DL) algorithms, studies the system requirements, analyzes the system process and architecture, and four modules of user management, learning resources, information literacy testing and recommendation system are studied. Finally, through comparative experiments, it was found that the system studied in this article has excellent performance in improving college students' information literacy, and has high application value and promotion potential.
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        Value: 10.4018/IJWLTT.367724
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
    Subjects:
      – SubjectFull: College Students
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Information Literacy
        Type: general
      – SubjectFull: Problem Solving
        Type: general
      – SubjectFull: Design
        Type: general
      – SubjectFull: Systems Building
        Type: general
      – SubjectFull: Long Term Memory
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      – SubjectFull: Short Term Memory
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Student Behavior
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      – SubjectFull: User Needs (Information)
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      – SubjectFull: Users (Information)
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      – TitleFull: Design and Implementation of an Information Literacy Enhancement System for College Students Based on Deep Learning Algorithms
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              Type: published
              Y: 2025
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            – TitleFull: International Journal of Web-Based Learning and Teaching Technologies
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