Academic Journal
Προβολή σε EDS

Balancing Innovation and Integrity in Using Generative AI for a New Computer Programming Assignments Approach

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Balancing Innovation and Integrity in Using Generative AI for a New Computer Programming Assignments Approach
Γλώσσα: English
Συγγραφείς: Shubair Abdullah (ORCID 0000-0002-1133-5979), Ali Sharaf Al Musawi (ORCID 0000-0002-6893-3216)
Πηγή: Journal of Education and e-Learning Research. 2026 13(1):140-149.
Διαθεσιμότητα: Asian Online Journal Publishing Group. 244 Fifth Avenue Suite D42, New York, NY 10001. Fax: 212-591-6094; e-mail: info@asianonlinejournals.com; Web site: http://www.asianonlinejournals.com
Peer Reviewed: Y
Page Count: 10
Ημερομηνία έκδοσης: 2026
Τύπος εγγράφου: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Programming, Foreign Countries, Learner Engagement, Problem Solving, Skill Development, Experiential Learning, Active Learning, Ethics, Technology Uses in Education, Instructional Effectiveness, Expertise, Undergraduate Students, College Faculty, Computer Science Education, Assignments, Teacher Attitudes, Models, Universities
Γεωγραφικοί όροι: Oman
ISSN: 2518-0169
2410-9991
Περίληψη: This study presents a new structured approach to AI-assisted learning designed to support students in actively engaging with programming tasks, progressively developing independent problem-solving skills, and effectively utilizing Generative Artificial Intelligence (GenAI) in programming education. The framework, based on constructivist and experiential learning theories, aims to guide students in interacting with GenAI tools to enhance algorithmic, critical, and analytical reasoning rather than replace cognitive effort. The research employs a mixed-methods design, incorporating quantitative data from laboratory performance assignments and paper-based assessments of programming skills, as well as qualitative data from semi-structured expert interviews. Three experts from well-known Omani universities verified and confirmed the model's consistency with established learning theories and instructional design principles. Thirty-two undergraduate students at Sultan Qaboos University were divided into experimental and control groups. Quantitative analysis indicated that the experimental group, which adopted the new approach, significantly outperformed the control group, which used GenAI without restrictions, on assignments assessing code analysis, debugging, optimization, and problem-solving skills (p = 0.009). These findings suggest that the proposed model effectively balances creativity and academic integrity.
Abstractor: As Provided
Entry Date: 2026
Αριθμός Καταχώρησης: EJ1507239
Βάση Δεδομένων: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1507239
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: EJ1507239
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Balancing Innovation and Integrity in Using Generative AI for a New Computer Programming Assignments Approach
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Shubair+Abdullah%22">Shubair Abdullah</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-1133-5979">0000-0002-1133-5979</externalLink>)<br /><searchLink fieldCode="AR" term="%22Ali+Sharaf+Al+Musawi%22">Ali Sharaf Al Musawi</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-6893-3216">0000-0002-6893-3216</externalLink>)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Journal+of+Education+and+e-Learning+Research%22"><i>Journal of Education and e-Learning Research</i></searchLink>. 2026 13(1):140-149.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Asian Online Journal Publishing Group. 244 Fifth Avenue Suite D42, New York, NY 10001. Fax: 212-591-6094; e-mail: info@asianonlinejournals.com; Web site: http://www.asianonlinejournals.com
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 10
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2026
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Audience
  Label: Education Level
  Group: Audnce
  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="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Programming%22">Programming</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Learner+Engagement%22">Learner Engagement</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+Solving%22">Problem Solving</searchLink><br /><searchLink fieldCode="DE" term="%22Skill+Development%22">Skill Development</searchLink><br /><searchLink fieldCode="DE" term="%22Experiential+Learning%22">Experiential Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Active+Learning%22">Active Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Ethics%22">Ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Effectiveness%22">Instructional Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Expertise%22">Expertise</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22College+Faculty%22">College Faculty</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Science+Education%22">Computer Science Education</searchLink><br /><searchLink fieldCode="DE" term="%22Assignments%22">Assignments</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Attitudes%22">Teacher Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Universities%22">Universities</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Oman%22">Oman</searchLink>
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 2518-0169<br />2410-9991
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study presents a new structured approach to AI-assisted learning designed to support students in actively engaging with programming tasks, progressively developing independent problem-solving skills, and effectively utilizing Generative Artificial Intelligence (GenAI) in programming education. The framework, based on constructivist and experiential learning theories, aims to guide students in interacting with GenAI tools to enhance algorithmic, critical, and analytical reasoning rather than replace cognitive effort. The research employs a mixed-methods design, incorporating quantitative data from laboratory performance assignments and paper-based assessments of programming skills, as well as qualitative data from semi-structured expert interviews. Three experts from well-known Omani universities verified and confirmed the model's consistency with established learning theories and instructional design principles. Thirty-two undergraduate students at Sultan Qaboos University were divided into experimental and control groups. Quantitative analysis indicated that the experimental group, which adopted the new approach, significantly outperformed the control group, which used GenAI without restrictions, on assignments assessing code analysis, debugging, optimization, and problem-solving skills (p = 0.009). These findings suggest that the proposed model effectively balances creativity and academic integrity.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2026
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1507239
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1507239
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 140
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Programming
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Learner Engagement
        Type: general
      – SubjectFull: Problem Solving
        Type: general
      – SubjectFull: Skill Development
        Type: general
      – SubjectFull: Experiential Learning
        Type: general
      – SubjectFull: Active Learning
        Type: general
      – SubjectFull: Ethics
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Instructional Effectiveness
        Type: general
      – SubjectFull: Expertise
        Type: general
      – SubjectFull: Undergraduate Students
        Type: general
      – SubjectFull: College Faculty
        Type: general
      – SubjectFull: Computer Science Education
        Type: general
      – SubjectFull: Assignments
        Type: general
      – SubjectFull: Teacher Attitudes
        Type: general
      – SubjectFull: Models
        Type: general
      – SubjectFull: Universities
        Type: general
      – SubjectFull: Oman
        Type: general
    Titles:
      – TitleFull: Balancing Innovation and Integrity in Using Generative AI for a New Computer Programming Assignments Approach
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Shubair Abdullah
      – PersonEntity:
          Name:
            NameFull: Ali Sharaf Al Musawi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 2518-0169
            – Type: issn-electronic
              Value: 2410-9991
          Numbering:
            – Type: volume
              Value: 13
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Journal of Education and e-Learning Research
              Type: main
ResultId 1