<b>Empowering the AI-Literate Learners: Evaluating the Intersection of Digital Governance

Over 50 peer-reviewed articles and policy frameworks published between 2021 and 2026 were synthesized for this systematic review. The study, authored by Joe Mutebi and uploaded to figshare in April 2026, reveals a significant policy gap where over 64% of undergraduate students use AI tools without formal institutional guidance. Key findings suggest traditional detection methods for academic dishonesty are losing effectiveness, advocating for a shift toward AI-literacy and process-oriented evaluation.

Use Cases

• Analyzing the prevalence of AI tool usage without institutional guidance based on the cited 64% statistic.
• Studying the evolution of academic integrity policies in response to Generative AI based on the review of literature from 2021-2026.
• Evaluating proposed educational interventions, such as mandatory AI-literacy classes, based on the study's key suggestions.
• Investigating the tension between digital governance and academic integrity frameworks described in the review's findings.

Strengths

• Synthesizes over 50 peer-reviewed articles and institutional policy frameworks.
• Provides a specific temporal scope, covering literature published between 2021 and 2026.
• Includes concrete findings, such as the statistic that over 64% of undergraduates use AI tools without formal guidance.

Limitations

• The dataset is a single 319.5 KB DOCX file, representing a very limited textual summary rather than raw research data.
• Row count and column-level documentation are absent; the document's internal structure must be inspected after download.
• The description metadata is limited; the actual synthesis methodology and full article list are not detailed in the provided metadata.

Provenance

Source

figshare, authored by Joe Mutebi.

Collection Method

Systematic literature review.

Time Range

2021 to 2026

Freshness

Last updated 2026-04-14 14:57:33