publisher
From digital transformation to intelligent classrooms: artificial intelligence, adaptive leadership, and service delivery in global higher education—a systematic literature review
- Source
- Frontiers in Education
- Published
- Last verified
- 9 Aug 2026
- Confidence
- High
- Evidence
- Original document retained
- Reading time
- 1 min
- Country
- International
- Relevant to
- Technology & Data, Executive Leadership, Operations & Delivery, Research & Evidence, Strategy & Planning
Executive summary
What happened, and why should leadership care?
A systematic literature review, following PRISMA guidelines, analyzed peer-reviewed studies published between 2019 and 2024 to synthesize global evidence on AI-driven transformation in higher education. The review aims to integrate understanding of how artificial intelligence, adaptive leadership, and digital infrastructure readiness collectively influence service delivery outcomes within the sector, addressing the current fragmentation of scholarly evidence.
Why this matters
Why is this strategically important?
This review consolidates fragmented knowledge regarding AI's impact on higher education, highlighting the interplay between technology, leadership, and infrastructure. Understanding these dynamics is critical for strategic planning and effective implementation of AI to enhance service delivery and institutional operations.
Key insights
What should be noted from the evidence?
- Artificial intelligence is fundamentally altering global higher education in teaching, learning, administrative processes, and institutional service delivery.
- Scholarly evidence on AI integration in higher education is fragmented across disciplines.
- There is a need for an integrated understanding of the combined impact of AI integration, adaptive leadership, and digital infrastructure readiness on service delivery outcomes.
- The review utilized a systematic methodology, including PRISMA guidelines and specific database searches (Scopus, Web of Science, IEEE Xplore, SpringerLink, ScienceDirect).
Evidence and confidence
How far can this assessment be trusted?
High confidence. Named institution, original document retained and analysis corroborated.
Analysis is prepared editorially by Aziz Shuaib Ausi. The original publication remains the authoritative record, and executive judgement remains entirely human.
Source
Where does this originate?
Reported by Frontiers in Education · International. This briefing summarises the publication for executive use; the document itself is not reproduced here.
Read the original publication