Claims

Undergraduate students were the most studied academic level in AIEd higher education research, at 72% of studies

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? 99 of 138 studies (72%) focused on undergraduate students, compared with 12 of 138 (9%) for graduate students. → 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? · review · r2

A priori coding of academic level across the 138 studies. The review reports "99 of the 138 (72%) focused on these students" versus 12 of 138 (9%) for graduate students, and suggests convenience sampling and predictive-analytics affordances as possible reasons.

"the majority of studies involved under - graduate students with 99 of the 138 (72%) focused on these students. This was in com - parison to the 12 of 138 (9%) for graduate students."

Discussion

Page metadata
Field Value
type claim
id undergraduates-most-studied-ai-ed-he
title Undergraduate students were the most studied academic level in AIEd higher education research, at 72% of studies
description Undergraduate students were the most studied academic level in AIEd higher education research, at 72% of studies
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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