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Enhancing e-Learning with AI and Blockchain: A Predictive Analysis of Acceptance Factors and Academic Performance

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  • Sabina Akram,Mohsin Shaikh,Aziz Memon, Khalil Rauf,Ashfaque Abro

    (Department of Computer Science and Engineering, Fast National University.Department of Computer Science, The University of Larkano, Larkana 77062, Pakistan.Department of Electrical Engineering, Sukkur IBA University.Department of Artificial Intelligence, Mehran University of Engineering and Technology, Jamshoro.Department of Computer Science, The University of Larkano)

Abstract

The research paper explores the key issues that determine the acceptance of eLearning tools by students and their effect on academic performance. Although the Technology Acceptance Model (TAM) has been used as the main model to describe adoption behavior in the past, little focus has been on the relationship between acceptance and performance outcomes. To fill this gap, we suggest a combined IS-TAM framework and confirm it using two datasets collected from higher education institutions (N = XXX). The results of Structural Equation Modeling (SEM) show that Perceived Ease of Use has α = 1.00 (p

Suggested Citation

  • Sabina Akram,Mohsin Shaikh,Aziz Memon, Khalil Rauf,Ashfaque Abro, 2026. "Enhancing e-Learning with AI and Blockchain: A Predictive Analysis of Acceptance Factors and Academic Performance," International Journal of Innovations in Science & Technology, 50sea, vol. 8(3), pages 232-257, May.
    • Handle: RePEc:abq:ijist1:v:8:y:2026:i:3:p:232-257
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    References listed on IDEAS

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    1. Yousef Abdel Latif Abdel Jawad & Basem Shalash, 2020. "The Impact of E-Learning Strategy on Students' Academic Achievement. Case Study: Al- Quds Open University," International Journal of Higher Education, Sciedu Press, vol. 9(6), pages 1-44, December.
    2. Peter B. Seddon, 1997. "A Respecification and Extension of the DeLone and McLean Model of IS Success," Information Systems Research, INFORMS, vol. 8(3), pages 240-253, September.
    3. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    4. Simona Sternad Zabukovšek & Zoran Kalinic & Samo Bobek & Polona Tominc, 2019. "SEM–ANN based research of factors’ impact on extended use of ERP systems," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(3), pages 703-735, September.
    5. Tzu-Chin Rejoice Chou, 2014. "A Scale of University Students' Attitudes toward e-Learning on the Moodle System," International Journal of Online Pedagogy and Course Design (IJOPCD), IGI Global Scientific Publishing, vol. 4(3), pages 49-65, July.
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