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September 17, 2025Open Access

Smart Teaching in Rural Indonesia: Harnessing AI-Assisted Deep Learning for Teacher Professional Development

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Authors

SLSeli Marlina Radja LebaMusamus Merauke University TNTobias NggaruakaMusamus Merauke University RBRanta ButarbutarYogyakarta State University

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Implication

Mixed-methods approach shows significant improvement in teacher development with AI-assisted tools, indicating potential for community-based learning.

Key Points

AI-assisted training significantly improved teacher development outcomes, promoting effective learning practices.
Post-test scores showed a notable increase, with a t-value of 17.1 surpassing the critical threshold, underlining effectiveness.
The mixed-methods approach combined quantitative analysis and qualitative insights from teachers for a comprehensive evaluation.
Long-term engagement is essential for sustained improvement, exposing challenges like cultural mismatches and adaptation needs.

Cite This Study

Leba et al. (2025) studied this question.

synapsesocial.com/papers/68d4604731b076d99fa5f73f https://doi.org/10.56294/ai2025419

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Implication

Mixed-methods approach shows significant improvement in teacher development with AI-assisted tools, indicating potential for community-based learning.

Smart Teaching in Rural Indonesia: Harnessing AI-Assisted Deep Learning for Teacher Professional Development

Discussion

Member takes

Implication

Key Points

Cite This Study

Smart Teaching in Rural Indonesia: Harnessing AI-Assisted Deep Learning for Teacher Professional Development

Discussion

Member takes

Implication

Key Points

Cite This Study

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