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This is a Quantitative Study study.

September 28, 2025International Journal of Social Science and Human ResearchOpen Access

Artificial Intelligence Adaptation in Higher Education: Supervisors Efficacy in Detecting AI-Generated Research in Postgraduate Research

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Authors

SRSolimo RajabMakerere University CAChekwoti Aramadhan KAKamonges Wahab AsadIslamic University in Uganda

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Implication

Quantitative analysis examines supervisors' detection capabilities of AI-generated content in postgraduate research, highlighting gaps in training and resources.

Key Points

Most supervisors are aware of AI tools but struggle with detecting AI-generated content.
The study found significant gaps in institutional preparedness and supervisors' detection capabilities.
Supervisors primarily rely on manual reviews and Turnitin to identify AI-generated research.
Regular training and collaborative policies are essential to enhance research integrity amid growing AI use.

Cite This Study

Rajab et al. (2025) studied this question.

synapsesocial.com/papers/68d9052141e1c178a14f516d https://doi.org/10.47191/ijsshr/v8-i9-59

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Implication

Quantitative analysis examines supervisors' detection capabilities of AI-generated content in postgraduate research, highlighting gaps in training and resources.

Artificial Intelligence Adaptation in Higher Education: Supervisors Efficacy in Detecting AI-Generated Research in Postgraduate Research

Discussion

Member takes

Implication

Key Points

Cite This Study

Artificial Intelligence Adaptation in Higher Education: Supervisors Efficacy in Detecting AI-Generated Research in Postgraduate Research

Discussion

Member takes

Implication

Key Points

Cite This Study

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