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Redefining Academic Integrity in the AI Era: Shifting From Detection to Development in Learning Institutions

Author

Listed:
  • Emmanuel Mapopota

    (Various Zimbabwean Universities)

  • Phillip Rangwani

    (Various Zimbabwean Universities)

  • Everson R. Zhou

    (Various Zimbabwean Universities)

  • Perpetua Govha

    (Various Zimbabwean Universities)

  • Victor D. Gwai

    (Various Zimbabwean Universities)

  • Eager Mwerenga

    (Various Zimbabwean Universities)

  • Olsvado Tambwali

    (Various Zimbabwean Universities)

  • Bridget Maumbe

    (Various Zimbabwean Universities)

  • James Sengu

    (Various Zimbabwean Universities)

Abstract

The integration of artificial intelligence tools into educational contexts has created fundamental challenges for traditional academic integrity frameworks. This study investigates how learning institutions can transition from punitive detection-based approaches to developmental frameworks that prepare students for AI-augmented professional environments. Through a convergent parallel mixed-methods approach combining surveys of 385 students and educators across five Zimbabwean universities, semi-structured interviews with 24 academic integrity officers, and systematic content analysis of 67 institutional AI policies, we examine current practices, perceptions, and emerging frameworks for academic integrity in the AI era. Our findings reveal significant disconnect between institutional policies (78% remain detection-focused) and pedagogical needs, with 64% of students reporting confusion about appropriate AI use. Quantitative analysis using SPSS revealed statistically significant relationships between AI literacy training and reduced academic misconduct (χ² = 47.32, p

Suggested Citation

  • Emmanuel Mapopota & Phillip Rangwani & Everson R. Zhou & Perpetua Govha & Victor D. Gwai & Eager Mwerenga & Olsvado Tambwali & Bridget Maumbe & James Sengu, 2026. "Redefining Academic Integrity in the AI Era: Shifting From Detection to Development in Learning Institutions," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 10(2), pages 539-560, February.
    • Handle: RePEc:bcp:journl:v:10:y:2026:i:2:p:539-560
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