AI applications in science and chemistry education most frequently affect learning-process outcomes, reported in 9 of 18 studies¶
Claim · All claims
Evidence · 1 study · reviewr2·q3
Currency · newest study 2025 · 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.
q3 i? The most common reported effect of AI applications is on outcomes related to the learning process (n = 9), including facilitating learning, supporting online learning, personalized learning, and multimodal laboratory environments. → Ali Kürşat Erümit 2025
Evidence¶
Ali Kürşat Erümit 2025¶
Ali Kürşat Erümit, Rabia Özdemir Sarıalioğlu. (2025). Artificial intelligence in science and chemistry education: a systematic review. Discover Education. https://doi.org/10.1007/s44217-025-00622-3
q3 · i? · review · r2
Content analysis of learning outcomes across the 18 included studies, organized into themes (learning, prompt engineering, vocational skills, active participation, technology). The review reports learning-process outcomes as most frequent with "n = 9". Descriptive synthesis; no effect size.
"the use of artificial intelligence applications in science and chemistry education has mostly had an impact on the outcomes related to the learning process (n = 9)"
Discussion¶
Related Claims¶
- AI applications support prompt engineering, professional skill development, technology acceptance, and active participation in science and chemistry education — related
- The most reported risks of AI tools in science and chemistry education are ethical issues, including gender and racial bias, hallucinations, copyright infringement, and plagiarism — related
- ChatGPT and conversational robots are the most used AI tools in science and chemistry education research, with ChatGPT used in 50% of reviewed studies — related
- Educators use AI tools mainly for personalized learning and language support and frequently use generative AI for lesson planning — related
- ChatGPT was the most widely adopted AI platform in undergraduate higher education studies, with applications clustering around assessment automation and personalized learning support — related
- AI-driven methodologies in chemistry laboratory classes foster deeper understanding of chemical phenomena while raising questions about human intuition and creativity — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-applications-mostly-affect-learning-process-outcomes |
title |
AI applications in science and chemistry education most frequently affect learning-process outcomes, reported in 9 of 18 studies |
description |
AI applications in science and chemistry education most frequently affect learning-process outcomes, reported in 9 of 18 studies |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — ali-kürşat-erümit-2025 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.