September 12, 2025Open Access

The Practical Predicament and Optimization Paths for Cultivating Artificial Intelligence Education Literacy of Pre-service Teachers

View Full Paper

Ask AI

Bookmark

Authors

HBHE Bao-xun ZPZhongxiao Peng

Discussion

Member takes

Implication

Theoretical analysis identifies challenges in curriculum design and textbook development for pre-service teachers, highlighting the need for policy-driven solutions.

Key Points

Improving ai education literacy training is crucial for pre-service teachers to adapt to AI technologies in education.
Three key challenges include curriculum design deficiencies, textbook adaptability crises, and ineffective teaching methods.
Establishing guidelines for integrating ai education literacy into curricula can enhance training quality.
Implementation of dual-purpose textbook systems and faculty development is vital for future educational success.

Cite This Study

Bao-xun et al. (2025) studied this question.

synapsesocial.com/papers/68d41ee1713b0b5dfea68062 https://doi.org/10.57237/j.jeit.2025.03.002

View Full Paper

Ask AI

Bookmark

Implication

Theoretical analysis identifies challenges in curriculum design and textbook development for pre-service teachers, highlighting the need for policy-driven solutions.

The Practical Predicament and Optimization Paths for Cultivating Artificial Intelligence Education Literacy of Pre-service Teachers

Discussion

Member takes

Implication

Key Points

Cite This Study

The Practical Predicament and Optimization Paths for Cultivating Artificial Intelligence Education Literacy of Pre-service Teachers

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider