Introduction to CS Frontiers: AI/ML
The CS Frontiers: AI/ML module is designed to enhance AI literacy among students by integrating machine learning concepts into the curriculum. This educational resource is guided by the AI4K12 framework, which provides a structured approach to teaching machine learning. Key features of this module include:
- Hands-on Activities: Students engage with real Twitter data, classifying and exploring data features using a block-based programming environment.
- Ethics in AI: The curriculum emphasizes the ethical implications of machine learning, discussing biases in datasets and their impact on algorithm training.
- Advanced Classifiers: Students learn to build and modify classifiers using ML services like IBM Watson, allowing them to detect sentiments and understand the influence of training sets on algorithm effectiveness.
- Collaborative Learning: The module encourages group activities where students can analyze data collectively, fostering teamwork and critical thinking.
This resource is ideal for educators looking to incorporate cutting-edge AI concepts into their teaching, preparing students for future challenges in technology and ethics.