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Оценка ИИ. Ученые разработали новую методику для образовательных задач

Measuring AI Assessment

Scientists Develop New Framework for Educational Purposes

A novel framework has been developed by scientists to evaluate artificial intelligence (AI) for educational purposes. The framework, which was published in the journal Nature Machine Intelligence, provides a comprehensive set of metrics and guidelines for assessing the effectiveness of AI systems in educational settings.

The framework is designed to help educators and researchers evaluate AI systems across a range of criteria, including:

• Learning effectiveness
• Engagement
• Equity
• Transparency
• Ethics

The framework is based on a systematic review of the literature on AI in education, as well as on input from experts in the field. It is intended to be a practical tool that can be used by educators and researchers to evaluate AI systems in their own settings.

Learning Effectiveness

One of the most important criteria for evaluating AI systems in educational settings is learning effectiveness. The framework provides a set of metrics for assessing the impact of AI systems on student learning outcomes, such as:

• Student achievement
• Student engagement
• Student attitudes towards learning

The framework also includes guidelines for interpreting the results of these metrics and for making decisions about the use of AI systems in educational settings.

Engagement

Another important criterion for evaluating AI systems in educational settings is engagement. The framework provides a set of metrics for assessing the extent to which AI systems engage students in the learning process, such as:

• Student participation
• Student motivation
• Student satisfaction

The framework also includes guidelines for interpreting the results of these metrics and for making decisions about the use of AI systems in educational settings.

Equity

Equity is a critical consideration in the evaluation of AI systems in educational settings. The framework provides a set of metrics for assessing the extent to which AI systems provide equitable learning opportunities for all students, such as:

• Access to AI systems
• Use of AI systems
• Benefits of AI systems

The framework also includes guidelines for interpreting the results of these metrics and for making decisions about the use of AI systems in educational settings.

Transparency

Transparency is essential for ensuring that AI systems are used in a responsible and ethical manner in educational settings. The framework provides a set of guidelines for ensuring that AI systems are transparent, such as:

• Providing documentation about the AI system
• Explaining how the AI system works
• Providing access to the AI system's data

The framework also includes guidelines for interpreting the results of these metrics and for making decisions about the use of AI systems in educational settings.

Ethics

The use of AI systems in educational settings raises a number of ethical concerns. The framework provides a set of guidelines for ensuring that AI systems are used in an ethical manner, such as:

• Protecting student privacy
• Preventing bias
• Promoting fairness

The framework also includes guidelines for interpreting the results of these metrics and for making decisions about the use of AI systems in educational settings.

The framework developed by scientists is a valuable tool for educators and researchers who are evaluating AI systems for educational purposes. The framework provides a comprehensive set of metrics and guidelines that can be used to assess the effectiveness of AI systems in a range of criteria, including learning effectiveness, engagement, equity, transparency, and ethics.