AI support in higher education is concentrated in instructional, assessment, and feedback decisions, with curriculum and learning-environment decisions least supported¶
Claim · All claims
Evidence · 1 study · reviewr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change
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? Across 27 reviewed studies, instructional decisions were the most frequently coded decision type (23 studies, 85.2%), followed by assessment (14, 51.9%) and feedback (11, 40.7%), while curriculum (4, 14.8%) and learning environment management (3, 11.1%) were least coded. → Köroğlu 2026
Evidence¶
Köroğlu 2026¶
Köroğlu, M. N., Mayrhofer, J., Steinmaurer, A., Wintersberger, P., Dennerlein, S. M., & Weinhandl, R. (2026). AI-Supported lecturer decision-making in higher education: a socio-technical perspective. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00623-8
q2 · i? · review · r2
Frequency analysis of inductively coded decision types across the review's 27 included empirical studies. The review reports that "instructional decisions were the most frequently coded category," with curriculum (4, 14.8%) and learning environment management (3, 11.1%) least coded; percentages refer to the proportion of the 27 included studies and categories were not mutually exclusive.
"instructional decisions were the most frequently coded category across the 27 reviewed studies (23 studies, 85.2%), followed by assessment (14, 51.9%) and feedback decisions (11, 40.7%)."
Discussion¶
Related Claims¶
- Learning Analytics Dashboards are the most frequently reported AI system type supporting lecturer decisions, primarily for monitoring, feedback, and assessment — related
- Instructional decisions form the hub of decision-type co-occurrence, most strongly with assessment decisions — related
- Text-based and log data dominate the student data used by AI systems for lecturer decision-making — related
- Behavioral outcomes, especially performance and engagement, dominate the learning outcomes linked to AI-supported lecturer decisions — related
- CAI utilization in education is concentrated in pedagogical applications, with administrative, research, and healthcare-education applications least represented — related
- In the AI-focused subset, professional development and teacher accompaniment (35.0%) and instructional design and assessment (32.5%) are the predominant approaches, with pedagogical limitations the main barrier — related
- Teacher-AI co-design research is concentrated in teacher education and higher education, while secondary and primary education settings remain relatively underdeveloped — related
- In learning analytics–supported formative assessment research in higher education, teachers are the primary actors, featuring in 33% of reviewed studies, while peer assessment appears in only 5% — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-support-concentrated-instructional-assessment-feedback-decisions |
title |
AI support in higher education is concentrated in instructional, assessment, and feedback decisions, with curriculum and learning-environment decisions least supported |
description |
AI support in higher education is concentrated in instructional, assessment, and feedback decisions, with curriculum and learning-environment decisions least supported |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2031 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — köroğlu-2026 |
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