Executive Guide
Research Summary: Lifelong learning in an AI-driven world: assistance, personalization and automation under scrutiny
- Original authors
- Attribution requires verification
- Original source
- Frontiers in Education
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 9 August 2026
- Last updated
- 21 September 2026
- Reading time
- 1 min
- Publication type
- Executive Guide
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
A scoping review from Frontiers in Education examines the intersection of lifelong learning (LLL) and Artificial Intelligence (AI). The study investigates whether AI's promised benefits of assistance, personalization, and automation align with LLL's broader educational, social, and equity goals. It highlights a concern that current AI deployment in education may not adequately address the diverse paradigms, geographical contexts, and vulnerability profiles central to LLL literature.
Why it matters
This analysis is critical for understanding the potential misalignment between technological advancements in AI and the foundational principles of lifelong learning. It emphasizes the need for strategic consideration to ensure AI integration in education genuinely supports equitable and inclusive learning outcomes, rather than exacerbating existing disparities or neglecting specific contexts.
Key insights
- The review focuses on the growing intersection between lifelong learning (LLL) and artificial intelligence (AI).
- It scrutinizes whether AI's promised benefits (assistance, personalization, automation) align with LLL's educational, social, and equity aims.
- A central concern is that AI deployment may not always correspond to the diverse paradigms, geographical contexts, and vulnerability profiles emphasized in LLL literature.
- The methodology involved a scoping review using PRISMA 2020 and PRISMA-ScR.
- Two corpora of articles were analyzed: 110 conceptual/empirical articles on LLL and 79 articles.
Source
Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1916528
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- Verification ID
- ASA-EXG-2026-00016
- Version
- v1.0 · r0
- Issued
- 9 August 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Lifelong learning in an AI-driven world: assistance, personalization and automation under scrutiny
- Original authors
- Attribution requires verification
- Original source
- Frontiers in Education
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
This verification confirms the AZIZ OS resource record and its documented provenance. It does not establish authorship of the underlying external work.