Transforming Immersion Education through AI-Driven Learning: A Descriptive Qualitative Study Investigation of Leadership Strategies for Scalable Program Development and Optimized Student Outcomes

Grounded in transformational leadership theory, the technology acceptance model, and constructivist learning theory, this descriptive qualitative research study explores principals' strategic leadership practices in optimizing student outcomes through AI-powered learning like ChatGPT in US-based Chinese immersion programs. We conducted in-depth interviews with 12 principals through purposive and snowball sampling to gain insights into their leadership strategies. We found three significant strategies for leaders to foster school success: employing data to enhance teaching practices, promoting a positive school culture to engage the community, and implementing research-based practices to support culturally responsive teaching. Additionally, we identified strategies for scalable program development and optimizing student outcomes, including achieving proficiency in language and core subjects, leveraging cultural exposure and cognitive development, and engaging students through culturally relevant content. This study fills in the gap in the literature by providing intersection insights of strategic leadership, AI-powered learning, and Chinese immersion education for student learning outcomes and school effectiveness. Findings offer significant implications for leaders, policymakers, scholars, and practitioners to leverage AI-powered learning in immersion education settings.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-04
DOI
https://doi.org/10.5281/zenodo.14802560
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Transforming Immersion Education through AI-Driven Learning: A Descriptive Qualitative Study Investigation of Leadership Strategies for Scalable Program Development and Optimized Student Outcomes

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Transforming Immersion Education through AI-Driven Learning: A Descriptive Qualitative Study Investigation of Leadership Strategies for Scalable Program Development and Optimized Student Outcomes

article en

Abstract

Grounded in transformational leadership theory, the technology acceptance model, and constructivist learning theory, this descriptive qualitative research study explores principals' strategic leadership practices in optimizing student outcomes through AI-powered learning like ChatGPT in US-based Chinese immersion programs. We conducted in-depth interviews with 12 principals through purposive and snowball sampling to gain insights into their leadership strategies. We found three significant strategies for leaders to foster school success: employing data to enhance teaching practices, promoting a positive school culture to engage the community, and implementing research-based practices to support culturally responsive teaching. Additionally, we identified strategies for scalable program development and optimizing student outcomes, including achieving proficiency in language and core subjects, leveraging cultural exposure and cognitive development, and engaging students through culturally relevant content. This study fills in the gap in the literature by providing intersection insights of strategic leadership, AI-powered learning, and Chinese immersion education for student learning outcomes and school effectiveness. Findings offer significant implications for leaders, policymakers, scholars, and practitioners to leverage AI-powered learning in immersion education settings.

Zenodo (CERN European Organization for Nuclear Research)
Marquette University (US), Western Michigan University (US)
Quality Education
Openalex Percentile: Top 60%
Artificial Intelligence in Healthcare and Education
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