SCALE - Adopt & Create OER

AI-generated content might lack depth, accuracy, or alignment with academic standards. Human oversight is essential to ensure high-quality, credible educational materials.

• Involve subject matter experts to review AI-generated content for accuracy, depth, and alignment with educational standards.
• Combine AI output with human creativity to develop engaging and reliable resources.

AI can inadvertently introduce biases present in its training data, leading to content that might be culturally insensitive or unrepresentative of diverse perspectives.

• Use diverse and inclusive datasets to reduce biases in AI-generated content.
• Continuously test AI tools for cultural sensitivity and fairness in educational materials.

AI tools may unintentionally generate content that resembles copyrighted material, leading to legal and ethical issues. Educators must verify that the resources comply with open licensing standards.

• Familiarize yourself with Creative Commons licenses to ensure proper use and sharing of OER.
• Use AI tools with built-in compliance features to assist with open licensing requirements.

Not all educators have the technical skills or resources needed to effectively use AI for OER creation. This can limit adoption and collaboration.

• Offer training for educators to build confidence in using AI tools effectively.
• Focus on skill development in areas like adapting AI-generated content and understanding licensing implications.

Excessive dependence on AI could reduce the creativity and unique input of educators in developing personalized and engaging resources.

• Use a mix of AI platforms to avoid over-reliance on a single tool, ensuring flexibility and adaptability in resource creation.

AI tools may generate content that isn’t fully accessible to students with disabilities, requiring additional adaptations to meet inclusivity standards.

• Collaborate with accessibility experts to ensure resources meet universal design principles.
• Use AI tools designed for inclusivity, such as those capable of creating content in multiple formats (e.g., audio, text, visual).

The use of AI in education raises questions about data privacy, especially if sensitive student or faculty information is involved in the process.

• Choose AI tools with robust data protection policies.
• Avoid using sensitive personal data when creating or testing OER materials.

Educators and students often lack clarity about how AI decisions are made. It’s vital to ensure that AI processes, such as grading or recommendations, are explainable and understandable to all users.

• Gather feedback from students, educators, and other users to refine OER materials continuously.
• Use AI analytics tools to track resource performance and identify areas for improvement.