Research Overview

This study aims to critically examine how the integration of artificial intelligence (AI) in education impacts teachers, particularly in relation to their autonomy, professional identity, and relationships. Using Marx’s theory of alienation as a framework, the study seeks to explore the broader implications of AI on the teaching profession and its alignment with humanistic teaching values.

Research Questions

The study is guided by the following key questions, aligned with Marx’s theory of alienation:

1. How does AI contribute to teachers' alienation from the products of their labour?

2. How does AI affect the teaching process, leading to alienation from the act of teaching itself?

3. How does AI contribute to teachers' alienation from their species-being?

4. How does AI reshape social relations in education, causing alienation from colleagues and students?

Relevance of AI in Education

AI’s integration in education is transforming teaching practices globally. Tools like automated grading systems, adaptive learning platforms, and virtual teaching assistants promise efficiency and personalised learning. However, these developments also pose challenges:

- - - Reducing teacher autonomy in decision-making.
    - Risking job satisfaction by automating traditionally human-centric tasks.
    - Impacting relational and empathetic aspects of teaching.

This research is timely, as it addresses the critical need to balance AI’s potential benefits with preserving the essence of the teaching profession. It aims to contribute to ethical and practical frameworks guiding AI adoption in education.

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