Systematic Review of Generative AI in Higher Education

A 27-article systematic review analyzes the implementation of generative AI in higher education. The qualitative analysis, based on 46 documents from Web of Science, explores themes like AI literacy and ethical oversight. It was authored by Claudiu Coman and published in 2026.

Use Cases

• Analyze themes like AI literacy and technology acceptance from the 27 peer-reviewed articles.
• Identify critical issues regarding academic integrity and data privacy discussed in the review.
• Explore findings on GenAI's benefits for personalized learning and adaptive feedback.

Strengths

• Qualitative analysis is focused on a defined set of 27 peer-reviewed articles.
• The review is recent, with a last update in March 2026.
• Covers multiple specific themes including ethical oversight and responsible governance.

Limitations

• The dataset is a single 26.7 KB document, offering limited scope for quantitative analysis.
• Analysis is based on a relatively small corpus of 46 source documents.
• No raw data or structured columns are provided for computational use.

Provenance

Source

figshare

Collection Method

Systematic and thematic review of literature from Web of Science.

Freshness

Last updated March 2026.