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Digital Scaffolding as Learning Opportunities: Enhancing Vocabulary Knowledge through Copilot AI

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Title: Digital Scaffolding as Learning Opportunities: Enhancing Vocabulary Knowledge through Copilot AI
Language: English
Authors: Miew Luan N.G, Ali Al Ghaithi, Behnam Behforouz
Source: Educational Process: International Journal. Article e2026012 2026 20.
Availability: UNIVERSITEPARK Limited. iTOWER Plaza (No61, 9th floor) Merkez Mh Akar Cd No3, Sisli, Istanbul, Turkey 34382. e-mail: editor@edupij.com; Web site: http://www.edupij.com/
Peer Reviewed: Y
Page Count: 16
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Scaffolding (Teaching Technique), Electronic Learning, Artificial Intelligence, Vocabulary Development, Second Language Learning, English (Second Language), Foreign Countries, Technology Uses in Education, Arabic, Higher Education, College Students, Second Language Instruction
Geographic Terms: Oman
ISSN: 2147-0901
2564-8020
Abstract: Background/purpose: The primary objective of this paper was to measure the effect of Copilot AI on vocabulary improvement among language learners. Materials/methods: The study involved 90 Omani students with pre-intermediate English proficiency, randomly divided into three groups: control, experimental A, and experimental B, with equal allocation. While all groups received in-class training, experimental A used Copilot in the classroom setting, and experimental B used Copilot outside classes for extra vocabulary practice and feedback. Some researcher-developed tests were prepared as pretests, posttests, and delayed posttests, with high validity and reliability, to measure the impact of the treatment and compare results promptly. Results: The study's findings revealed that all groups made significant progress in their posttests; however, experimental group A performed the best, followed by experimental group B and the control group. Later, the analysis of the delayed posttest revealed progress in experimental group A with no sign of improvement in the other two groups. Additionally, in this delayed posttest, the control group's scores decreased dramatically. Conclusion: As an educational facilitator, Copilot helped improve students' vocabulary. Although the study's results emphasize the advantages of Copilot AI in the learning process, further studies could examine students with varying proficiency levels and other subskills, such as speaking, reading, and writing. Additionally, qualitative studies could give a clear picture of students' satisfaction in using AI tools as learning facilitators.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1497347
Database: ERIC
FullText Text:
  Availability: 0
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  Data: Digital Scaffolding as Learning Opportunities: Enhancing Vocabulary Knowledge through Copilot AI
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  Data: <searchLink fieldCode="AR" term="%22Miew+Luan+N%2EG%22">Miew Luan N.G</searchLink><br /><searchLink fieldCode="AR" term="%22Ali+Al+Ghaithi%22">Ali Al Ghaithi</searchLink><br /><searchLink fieldCode="AR" term="%22Behnam+Behforouz%22">Behnam Behforouz</searchLink>
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  Data: UNIVERSITEPARK Limited. iTOWER Plaza (No61, 9th floor) Merkez Mh Akar Cd No3, Sisli, Istanbul, Turkey 34382. e-mail: editor@edupij.com; Web site: http://www.edupij.com/
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background/purpose: The primary objective of this paper was to measure the effect of Copilot AI on vocabulary improvement among language learners. Materials/methods: The study involved 90 Omani students with pre-intermediate English proficiency, randomly divided into three groups: control, experimental A, and experimental B, with equal allocation. While all groups received in-class training, experimental A used Copilot in the classroom setting, and experimental B used Copilot outside classes for extra vocabulary practice and feedback. Some researcher-developed tests were prepared as pretests, posttests, and delayed posttests, with high validity and reliability, to measure the impact of the treatment and compare results promptly. Results: The study's findings revealed that all groups made significant progress in their posttests; however, experimental group A performed the best, followed by experimental group B and the control group. Later, the analysis of the delayed posttest revealed progress in experimental group A with no sign of improvement in the other two groups. Additionally, in this delayed posttest, the control group's scores decreased dramatically. Conclusion: As an educational facilitator, Copilot helped improve students' vocabulary. Although the study's results emphasize the advantages of Copilot AI in the learning process, further studies could examine students with varying proficiency levels and other subskills, such as speaking, reading, and writing. Additionally, qualitative studies could give a clear picture of students' satisfaction in using AI tools as learning facilitators.
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
    Subjects:
      – SubjectFull: Scaffolding (Teaching Technique)
        Type: general
      – SubjectFull: Electronic Learning
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Vocabulary Development
        Type: general
      – SubjectFull: Second Language Learning
        Type: general
      – SubjectFull: English (Second Language)
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Arabic
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: College Students
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      – SubjectFull: Second Language Instruction
        Type: general
      – SubjectFull: Oman
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    Titles:
      – TitleFull: Digital Scaffolding as Learning Opportunities: Enhancing Vocabulary Knowledge through Copilot AI
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            NameFull: Miew Luan N.G
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            NameFull: Ali Al Ghaithi
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            NameFull: Behnam Behforouz
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              M: 01
              Type: published
              Y: 2026
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