The impact of micro- and macro-level educational environments on the use of artificial intelligence in education

The macro-level educational context encompasses factors that extend beyond an individual classroom, course, or learner, relating to the institutional, legal, social, and technological conditions in which artificial intelligence (AI) is developed and implemented. These factors shape the environment in which educational institutions determine how, when, and why to use AI tools in their work.

The macro-level educational context includes factors beyond the immediate teaching environment, course, or learner, such as:

• Institutional conditions, including organisational strategies for introducing AI into education, institutional policies, and available resources.
• Legal conditions, such as legislation, data protection standards, and ethical frameworks that ensure responsible and transparent use of AI.
• Social conditions, including the acceptance of AI tools and systems and prevailing social norms.
• Technological conditions, referring to the availability, security, and reliability of AI tools and systems.

Together, these factors shape the environment in which educational institutions make decisions about how, when, and for what purposes to use artificial intelligence tools in their educational practice.

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