View in EDS

Enhancing Global Student Success through Data-Driven Session Design in Online Education

Saved in:
Bibliographic Details
Title: Enhancing Global Student Success through Data-Driven Session Design in Online Education
Language: English
Authors: Muhammad Atif Sae, Syed Muhammad Naeem, Muhammad Imran, Saim Ahm, Norah Almusharraf, Ahmad Taher Azar
Source: Journal of International Students. 2026 16(5):141-165.
Availability: Journal of International Students. 4005 Spurgeon Drive #6, Monroe, LA 71203. Tel: 318-600-5743; Fax: 318-342-3131; e-mail: jis@ojed.org; Web site: https://www.ojed.org/index.php/jis/index
Peer Reviewed: Y
Page Count: 25
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Descriptors: Electronic Learning, Data Use, Decision Making, Instructional Design, Learning Experience, Cognitive Processes, Models, Academic Achievement, Student Satisfaction, Foreign Students
ISSN: 2162-3104
2166-3750
Abstract: Effective online learning sessions require designing sessions that address learners' engagement and achievement across diverse groups. The duration and frequency of the session affect user satisfaction and quiz results, but it is difficult to optimize both simultaneously. This paper presents a combined optimization model that uses stepwise regression, NSGA-II, and gray relational analysis (GRA) to optimize the design of a session, leveraging a publicly available e-learning dataset (more than 2,500 anonymized records). Directional relationships between session parameters and outcomes were quantified using regression models, and Pareto-optimal solutions were identified using NSGA-II, which were further assessed under three teaching-priority scenarios using GRA. The results show that a 60-minute weekly session is the optimal balance between the more satisfaction-focused designs, and that allotting 113 minutes across eight sessions is optimal for quiz performance. The explanations of the regression models (R2 = 0.20 for satisfaction and R2 = 0.11 for quiz scores) are modest, suggesting that the results should be viewed as guidance for decision-making rather than prescriptions. Despite these shortcomings, the framework emphasizes trade-offs between the timing and frequency of online learning and offers a data-driven, systematic approach to optimizing online learning. This research contributes to evidence-based instructional design and provides practitioners with actionable insights to enhance international online learning. [Note: The page range (141-166) shown on the PDF is incorrect. The correct page range is 141-165.]
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1508567
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1508567
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: EJ1508567
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Enhancing Global Student Success through Data-Driven Session Design in Online Education
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Muhammad+Atif+Sae%22">Muhammad Atif Sae</searchLink><br /><searchLink fieldCode="AR" term="%22Syed+Muhammad+Naeem%22">Syed Muhammad Naeem</searchLink><br /><searchLink fieldCode="AR" term="%22Muhammad+Imran%22">Muhammad Imran</searchLink><br /><searchLink fieldCode="AR" term="%22Saim+Ahm%22">Saim Ahm</searchLink><br /><searchLink fieldCode="AR" term="%22Norah+Almusharraf%22">Norah Almusharraf</searchLink><br /><searchLink fieldCode="AR" term="%22Ahmad+Taher+Azar%22">Ahmad Taher Azar</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Journal+of+International+Students%22"><i>Journal of International Students</i></searchLink>. 2026 16(5):141-165.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Journal of International Students. 4005 Spurgeon Drive #6, Monroe, LA 71203. Tel: 318-600-5743; Fax: 318-342-3131; e-mail: jis@ojed.org; Web site: https://www.ojed.org/index.php/jis/index
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 25
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2026
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Electronic+Learning%22">Electronic Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Use%22">Data Use</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+Making%22">Decision Making</searchLink><br /><searchLink fieldCode="DE" term="%22Instructional+Design%22">Instructional Design</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Experience%22">Learning Experience</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+Processes%22">Cognitive Processes</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Achievement%22">Academic Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Satisfaction%22">Student Satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Students%22">Foreign Students</searchLink>
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 2162-3104<br />2166-3750
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Effective online learning sessions require designing sessions that address learners' engagement and achievement across diverse groups. The duration and frequency of the session affect user satisfaction and quiz results, but it is difficult to optimize both simultaneously. This paper presents a combined optimization model that uses stepwise regression, NSGA-II, and gray relational analysis (GRA) to optimize the design of a session, leveraging a publicly available e-learning dataset (more than 2,500 anonymized records). Directional relationships between session parameters and outcomes were quantified using regression models, and Pareto-optimal solutions were identified using NSGA-II, which were further assessed under three teaching-priority scenarios using GRA. The results show that a 60-minute weekly session is the optimal balance between the more satisfaction-focused designs, and that allotting 113 minutes across eight sessions is optimal for quiz performance. The explanations of the regression models (R2 = 0.20 for satisfaction and R2 = 0.11 for quiz scores) are modest, suggesting that the results should be viewed as guidance for decision-making rather than prescriptions. Despite these shortcomings, the framework emphasizes trade-offs between the timing and frequency of online learning and offers a data-driven, systematic approach to optimizing online learning. This research contributes to evidence-based instructional design and provides practitioners with actionable insights to enhance international online learning. [Note: The page range (141-166) shown on the PDF is incorrect. The correct page range is 141-165.]
– 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: EJ1508567
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1508567
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 141
    Subjects:
      – SubjectFull: Electronic Learning
        Type: general
      – SubjectFull: Data Use
        Type: general
      – SubjectFull: Decision Making
        Type: general
      – SubjectFull: Instructional Design
        Type: general
      – SubjectFull: Learning Experience
        Type: general
      – SubjectFull: Cognitive Processes
        Type: general
      – SubjectFull: Models
        Type: general
      – SubjectFull: Academic Achievement
        Type: general
      – SubjectFull: Student Satisfaction
        Type: general
      – SubjectFull: Foreign Students
        Type: general
    Titles:
      – TitleFull: Enhancing Global Student Success through Data-Driven Session Design in Online Education
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Muhammad Atif Sae
      – PersonEntity:
          Name:
            NameFull: Syed Muhammad Naeem
      – PersonEntity:
          Name:
            NameFull: Muhammad Imran
      – PersonEntity:
          Name:
            NameFull: Saim Ahm
      – PersonEntity:
          Name:
            NameFull: Norah Almusharraf
      – PersonEntity:
          Name:
            NameFull: Ahmad Taher Azar
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 2162-3104
            – Type: issn-electronic
              Value: 2166-3750
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Journal of International Students
              Type: main
ResultId 1