AI applications support prompt engineering, professional skill development, technology acceptance, and active participation in science and chemistry education¶

Claim · All claims
Evidence · 1 study (2 entries) · review r2 · q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? In the prompt engineering context (n = 6), students develop prompt writing skills and AI acts as an intelligent personal assistant in developing writing skills. → Ali Kürşat Erümit 2025 q3 i? In the professional skill development context (n = 5), AI contributes to teacher candidates' evaluation expertise and responsive teaching skills, and helps with classroom management and lesson plan design. → Ali Kürşat Erümit 2025 (2)

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

Thematic content analysis of learning outcomes in the 18 included studies. The review reports that in the prompt engineering theme "students develop prompt writing skills" and related writing benefits. Descriptive synthesis; no effect size.

"In the context of prompt engineering (n = 6); it is seen that students develop prompt writing skills, act as an intelligent personal assistant in developing writing skills, increase self-confidence in writing skills"

Ali Kürşat Erümit 2025 (2)¶

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

Thematic content analysis of the same outcome coding. The review reports that in the professional skill development theme AI "contributes to the development of teacher candidates’ evaluation expertise" and related supports. Descriptive synthesis; no effect size.

"In the context of professional skill development (n = 5); it is seen that it contributes to the development of teacher candidates’ evaluation expertise and the development of sensitive teaching skills"

Discussion¶

Related Claims¶

• AI applications in science and chemistry education most frequently affect learning-process outcomes, reported in 9 of 18 studies — related
• Effective AI use in nursing education depends on prompting skills, which participants identify as critical for obtaining accurate and reliable outputs — related
• Teachers' expectancy beliefs about successfully using AI applications shape their motivation to use them (theoretical argument). — related
• A professional development masterclass produces a 24% overall improvement in educators' AI utilization competence with large effect sizes — related