3D Learning in Science-AI-Driven Science Education

Example

Students use the concept of energy (Disciplinary Core Idea) across various topics—such as physics, biology, and chemistry—to understand its conservation and transfer, applying it to both natural and designed systems.

Scenario

In a physics class, students might explore kinetic and potential energy through experiments that involve measuring and graphing these energies in different scenarios, thereby seeing the crosscutting concept of energy conservation in multiple contexts.

Example

Students engage in scientific practices like asking questions, planning and conducting investigations, analyzing and interpreting data, and arguing from evidence.

Scenario

In a biology lesson on ecosystems, students could collect data on local flora and fauna, analyze their interdependencies, and debate their findings to draw conclusions about ecosystem health and sustainability.

Example

Learners apply crosscutting concepts such as 'patterns' or 'cause and effect' to link different scientific disciplines and gain a comprehensive understanding of complex topics.

Scenario

In a study unit on climate change, students might examine how atmospheric data (Earth Science), carbon cycle processes (Biology), and human energy consumption (Social Studies) interact, using their understanding of these interdependencies to propose solutions to reduce carbon footprint.