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Research on College English Precision Teaching Based on Big Data Learning Diagnosis System

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Title: Research on College English Precision Teaching Based on Big Data Learning Diagnosis System
Language: English
Authors: Xiaoling Wang, Rui Zhou (ORCID 0009-0008-6773-3002)
Source: International Journal of Information and Communication Technology Education. 2025 21(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: 17
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: College English, English Instruction, Precision Teaching, Educational Diagnosis, Identification, Student Needs, Undergraduate Students, Skill Development, Listening Skills, Reading Skills, Writing Skills, Oral Language, Accuracy, Privacy, Learning Management Systems, Foreign Countries
Geographic Terms: China
DOI: 10.4018/IJICTE.386082
ISSN: 1550-1876
1550-1337
Abstract: This research on the accurate teaching of college English aims to meet the challenges and opportunities faced by college English education under the background of globalization. The paper explores the application effect of a learning diagnosis system based on big data in college English precision teaching. The system can accurately identify students' learning needs and obstacles and provide a scientific and objective teaching basis for educators. The empirical research shows that in the experimental class of university sophomores, the accurate teaching realized by the big data learning diagnosis system significantly improved students' listening, reading, writing, and oral performance. In addition, students' learning interest and initiative also improved significantly. However, this teaching method also faces challenges such as data dependence, accuracy, technical input, privacy protection, and teaching rigidity.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1483435
Database: ERIC
FullText Text:
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DbLabel: ERIC
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PubType: Academic Journal
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Items – Name: Title
  Label: Title
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  Data: Research on College English Precision Teaching Based on Big Data Learning Diagnosis System
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  Data: English
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Xiaoling+Wang%22">Xiaoling Wang</searchLink><br /><searchLink fieldCode="AR" term="%22Rui+Zhou%22">Rui Zhou</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0008-6773-3002">0009-0008-6773-3002</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Information+and+Communication+Technology+Education%22"><i>International Journal of Information and Communication Technology Education</i></searchLink>. 2025 21(1).
– Name: Avail
  Label: Availability
  Group: Avail
  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/
– Name: PeerReviewed
  Label: Peer Reviewed
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  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 17
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2025
– Name: TypeDocument
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  Data: Journal Articles<br />Reports - Research
– Name: Audience
  Label: Education Level
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  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22College+English%22">College English</searchLink><br /><searchLink fieldCode="DE" term="%22English+Instruction%22">English Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Precision+Teaching%22">Precision Teaching</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Diagnosis%22">Educational Diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Identification%22">Identification</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Needs%22">Student Needs</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Skill+Development%22">Skill Development</searchLink><br /><searchLink fieldCode="DE" term="%22Listening+Skills%22">Listening Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Reading+Skills%22">Reading Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Skills%22">Writing Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Oral+Language%22">Oral Language</searchLink><br /><searchLink fieldCode="DE" term="%22Accuracy%22">Accuracy</searchLink><br /><searchLink fieldCode="DE" term="%22Privacy%22">Privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Management+Systems%22">Learning Management Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.4018/IJICTE.386082
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 1550-1876<br />1550-1337
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This research on the accurate teaching of college English aims to meet the challenges and opportunities faced by college English education under the background of globalization. The paper explores the application effect of a learning diagnosis system based on big data in college English precision teaching. The system can accurately identify students' learning needs and obstacles and provide a scientific and objective teaching basis for educators. The empirical research shows that in the experimental class of university sophomores, the accurate teaching realized by the big data learning diagnosis system significantly improved students' listening, reading, writing, and oral performance. In addition, students' learning interest and initiative also improved significantly. However, this teaching method also faces challenges such as data dependence, accuracy, technical input, privacy protection, and teaching rigidity.
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  Data: As Provided
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  Label: Entry Date
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  Data: 2025
– Name: AN
  Label: Accession Number
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  Data: EJ1483435
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1483435
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      – Type: doi
        Value: 10.4018/IJICTE.386082
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
    Subjects:
      – SubjectFull: College English
        Type: general
      – SubjectFull: English Instruction
        Type: general
      – SubjectFull: Precision Teaching
        Type: general
      – SubjectFull: Educational Diagnosis
        Type: general
      – SubjectFull: Identification
        Type: general
      – SubjectFull: Student Needs
        Type: general
      – SubjectFull: Undergraduate Students
        Type: general
      – SubjectFull: Skill Development
        Type: general
      – SubjectFull: Listening Skills
        Type: general
      – SubjectFull: Reading Skills
        Type: general
      – SubjectFull: Writing Skills
        Type: general
      – SubjectFull: Oral Language
        Type: general
      – SubjectFull: Accuracy
        Type: general
      – SubjectFull: Privacy
        Type: general
      – SubjectFull: Learning Management Systems
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: Research on College English Precision Teaching Based on Big Data Learning Diagnosis System
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          Name:
            NameFull: Xiaoling Wang
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          Name:
            NameFull: Rui Zhou
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              Y: 2025
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              Value: 1550-1876
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              Value: 21
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            – TitleFull: International Journal of Information and Communication Technology Education
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