Item List

The development of computer systems capable of performing tasks that typically require human intelligence, enabling automated decision-making, learning, and adaptation.

The inappropriate or unethical application of AI technology, leading to harmful consequences or misuse of information.

The process of reviewing and assessing the relevance, accuracy, and quality of AI-generated responses to prompts.

The obligation to take responsibility for the effects and outcomes of AI prompts, ensuring ethical and effective use.

Practical, concrete recommendations designed to facilitate the achievement of specific learning or project outcomes.

Designed experiences or tasks that facilitate learning by doing, supporting the application of concepts in practical settings.

The adjustment of AI prompts or teaching strategies in response to changing conditions, feedback, or new insights.

A planning method that begins with identifying end goals, then devises activities and instruction to achieve those outcomes, ensuring alignment with learning objectives.

Proven strategies and techniques that enhance the effectiveness and ethical use of AI prompts in education.

The presence of systemic or individual prejudices in AI prompts, potentially leading to skewed or unfair outcomes.

This technique involves presenting an initial question followed by a sequence of logical reasoning steps that guide the model toward the final answer. It's akin to mapping out a thought process in natural language, breaking down complex problems into more manageable parts, and sequentially addressing each to arrive at a conclusion.

The degree of difficulty or sophistication inherent in learning materials or tasks, challenging learners to think critically and solve problems.