Research on the Effectiveness and Boundaries of Generative Artificial Intelligence-Assisted Development of Ideological and Political Education Resources in College English Courses
The rapid spread of generative artificial intelligence has opened a new technical path for developing ideological and political education resources in College English courses, while also triggering ongoing debate over educational effectiveness and value risks. Rather than making an either-or binary judgment, this study takes “conditional efficacy” as its core analytical perspective. It disentangles the operating logic and preconditions of AI-assisted resource development from three levels—the efficiency mechanism, the adaptation mechanism, and the human–AI collaboration structure—and examines actual educational outcomes and limitations across three dimensions: resource supply, student participation, and teacher development. It then sorts out the generative logic and potential risks of cognitive, value, and ethical boundaries, and finally proposes a systematic governance path that regulates efficacy through boundaries, providing a practical framework for college English teachers to use AI in developing curriculum-based ideological and political education resources in a standardized and efficient manner.
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