Language learning was the most common subject domain for AIEd in higher education, at 17%¶
Claim · All claims
Evidence · 1 study · quant-synthesisr2·q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person
Subclaims¶
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q2 i? Across 14 coded areas, language learning led at 17%, computer science followed at 16%, engineering at 12%, and management of students at 14%. → Crompton 2023
Evidence¶
Crompton 2023¶
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-023-00392-8
q2 · i? · quant-synthesis · r2
A priori coding of subject domains across the 138 studies into 14 areas. The review reports "language learning at 17%, computer science at 16%, and engineering at 12%", with the management of students category third at 14%, and notes prior reviews also found language learning dominant.
"There is not a wide difference in the percentages of top subject domains, with language learning at 17%, computer science at 16%, and engineering at 12%."
Discussion¶
Related Claims¶
- 72% of AIEd higher education studies focused on students as the intended users, 17% on instructors, and 11% on managers — related
- Engineering students most often use LLMs for academic writing (27%), conceptual clarification (20%), programming help (17%) and brainstorming (13%) — related
- Technology disciplines, especially Computer Science and Data Science, lead contributions to AI literacy across TIECD dimensions, while Design (AILE 5.1) is underrepresented across all STEAM clusters — related
- Research on ChatGPT-supported STEAM inquiry-based learning is unevenly distributed across disciplines, concentrated in science and mathematics — related
- In-service science educators use AI far less in subject-specific DiKoLAN areas (SIM, DAP, DAQ) than in general areas — related
- Undergraduate students were the most studied academic level in AIEd higher education research, at 72% of studies — related
- LDA topic modeling of 242 LDT syntheses reveals eight thematic areas, with computational tools most prevalent (21.7%) and generative AI integration emerging (8.2%) — related
- AIEd research is dominated by computer science and STEM disciplines, with minimal educator involvement — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
language-learning-top-subject-domain-ai-ed-he |
title |
Language learning was the most common subject domain for AIEd in higher education, at 17% |
description |
Language learning was the most common subject domain for AIEd in higher education, at 17% |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2023 |
generated |
by process:wiki-ingest on 2026-10-15 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — crompton-2023 |
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