Review reports AI may automate teachers' administrative chores while direct instruction and coaching are less susceptible to automation¶

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? The review reports, citing Bryant et al. (2020), that AI can aid preparation, student administration, scheduling, evaluation, and feedback, while direct instruction, engagement, coaching, and advising are less susceptible to automation. → Adam Palmquist 2025

Evidence¶

Adam Palmquist 2025¶

Adam Palmquist, Helga Dis Isfold Sigurdardottir, Hege Myhre. (2025). Exploring interfaces and implications for integrating social-emotional competencies into AI literacy for education: a narrative review. Journal of Computers in Education. https://doi.org/10.1007/s40692-025-00354-1

q2 · i? · review · r2

The review's C1 'Teachers' perspectives, functions and roles' sub-theme, attributing the automation boundary to Bryant et al. (2020). The review also notes Bryant et al. call for proactive strategies to manage the transition; no effect sizes are printed.

"as it can aid in preparation, student administration, scheduling, evaluation, and feedback, while areas like direct instruction, engagement, coaching, and advising are less susceptible to automation."

Discussion¶

Related Claims¶

• Reviewed literature identifies personalisation, adaptive support, rapid feedback, and teacher-facing automation as recurring pedagogical opportunities of AI in mathematics education — related
• AI presents four solution types for overcoming situated learning barriers: adaptive systems, intelligent tutoring in authentic scenarios, administrative automation, and data-driven teacher support — related
• AI scheduling systems reportedly reduce administrative workload by up to 40% and enrollment prediction exceeds 85% accuracy (as reported in the reviewed literature) — related