A field study with 10 faculty across two institutions observed a 25% reduction in administrative load and improved LMS data utilization from agentic teaching-assistant systems¶

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

Subclaims¶

q2 i? In a field study with 10 faculty across two institutions, agentic teaching-assistant use was associated with a 25% reduction in administrative load and improved LMS data utilization. → Kostopoulos 2025

Evidence¶

Kostopoulos 2025¶

Kostopoulos, G., Gkamas, V., Rigou, M., & Kotsiantis, S. (2025). Agentic AI in Education: State of the Art and Future Directions. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3620473

q2 · i? · associational · r?

The review reports, citing Kamalov et al., a field study of 10 faculty across two institutions using agentic AI for workflow management and analytics, which "observed a 25 % reduction in administrative load and improved LMS data utilization". The review links such results to high-TRL (6-7) classroom orchestration applications.

"Kamalov et al. [27] (field study, N= 10 faculty across two institutions) observed a 25 % reduction in administrative load and improved LMS data utilization."

Discussion¶

Related Claims¶

• Focus groups with nine writing instructors identified four design priorities for WAT-C: clearer feedback, instructor customization, reduced administrative burden, and a simplified interface — related
• Active participation and commitment of teaching staff were essential for successful CA-supported LO assessment, fostered by clear actionable data and institutional support — related
• An agentic AI instructor sustained and deepened student engagement across successive course modules in a field deployment — related
• Edtech coaches frequently helped teachers use video conferencing tools, LMS platforms, and asynchronous instruction during closures — related