Skip to content
Review

of AI and

· 0 citations · 41 references

TL;DR

This paper presents one of the most comprehensive mappings to date, analysing 16,564 publications identified through Web of Science and refined to 4,626 core contributions using a hybrid method that combined computational topic modelling, AI-assisted filtering, and human validation.

View source

Similar papers

Open access Aug 2026

Inculcating Artificial Intelligence In Teaching Methodology

Artificial Intelligence (AI) is no longer an experimental add-on to the classroom; it is fast becoming a structural feature of how higher education institutions plan, deliver and assess learning. This article examines how AI can be inculcated into teaching methodology, weighs its principal merits and demerits with illu...

D. Saxena · 0 citations
Review Sep 2026

Artificial Intelligence in Education: A Systemic Scoping Review

This paper presents a scoping review of how Artificial Intelligence in Education (AIEd) has been conceptualized through systemic perspectives, with particular attention to direct and indirect connections with General Systems Theory (GST). It maps the existing literature, identifies research trends and highlights ke...

Dimitra Kapousizi, Theodoros I. Kosmanis · 0 citations
Open access Aug 2026

Beyond Replacement: How AI Reconfigures Academic Roles

Qualitative content analysis on a purposive corpus of 46 documents shows that AI is strongest in codifiable and routine tasks such as basic educational content generation, objective grading, literature processing, drafting, and administrative support.

Amir Ghorbani, M. Blankesteijn · 0 citations
Conference Open access Aug 2026

Is Artificial Intelligence a Better Researcher than Humans?

In the last few years Generative Artificial Intelligence (GenAI) has taken universities by storm. This does not only affect the way what and how to teach and how to assess knowledge and competences in exams, but it also impacts the way how to do research. On one hand, GenAI has fast access to a huge amount of wide-rang...

E. Tomé, Gaby Neumann, Igor Lopes Martinez · 0 citations
Open access Sep 2026

Key Competences after AI Revolution

The author analyses a shift in the approach to the concept of key competences, driven by changes in the origins of Artificial Intelligence (AI) and its potential uses. Currently, the ability to work with Artificial Intelligence is becoming an overriding competence that, in both European and American approaches, forms t...

Aleksander Kobylarek · 0 citations
Review Open access Sep 2026

Reimagining AI in Teaching: A Five-Year Review of Research, Trends, and Pedagogical Shifts

The integration of Artificial Intelligence (AI) in English Language Teaching (ELT) has grown rapidly in the past five years, fueled by the increasing sophistication of generative tools, intelligent feedback systems, and data-driven personalization. This systematic review aims to map the latest research developments fro...

Anas Irwan, Devilito Prasetyo Tatipang, Muh. Alfandi et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.