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The potential of AI-driven course development for education

AI and Content development

The potential of AI-driven course development for education

The Challenge Facing Modern Educational Institutions

Whether supporting lesson plans, developing or reviewing a course or program, or applying for accreditation, teachers and institutions must dedicate resources to time-consuming processes.

In regions with limited resources, such as Africa, Asia, Latin America and the Caribbean, access to quality educational content often poses a significant challenge. 

How AI is Changing Course Development

Fortunately, an innovative solution can save resources and speed up the process. Generative AI can automate course and program development, while predictive and detective AI can improve content review and management.

Key AI Capabilities for Education

These are some of the capabilities of AI: 

  • Generating text, images, audio, interactive content and translations
  • Identifying learning patterns to recommend resources.
  • Supports adaptive sequencing and personalization.
  • Enables automated quality checks.
  • Auto tagging, classification and semantic search
Integrating AI Throughout the Content Development Cycle

AI can be integrated into workflows throughout the content development cycle.

  • Curriculum design
  • Content development
  • Review
  • Translation 
  • Management 
The Potential of Open Educational Resources (OER) with AI

Adopting Open Educational Resources (OER) could further help institutions, especially in low-income regions such as the Global South. OERs are freely available educational content, licensed for use, modification and sharing. AI can help translate and contextualize existing OERs, build

Understanding AI’s Role and Limitations

Despite their capabilities, it is essential to understand how AI works, what it can and cannot do, and how humans should interact with machines to maximize productivity. When using AI to develop and manage educational content, all required quality standards and regulations must be met. The process should also reflect institutional values, regulatory requirements, and local context.

Unlocking the potential of AI to create better, cheaper, and faster content depends on institutional capacity and re-skilling faculty and staff. This also requires policies for the ethical and responsible use of AI, along with a data governance strategy that supports AI outputs and safeguards privacy.

Building Institutional AI Readiness

This is where Subula comes in. It designs workflows to automate processes like course and program development and management. Subula also assists with:

  • AI readiness assessments
  • Training for senior management, teachers, and staff
  • The development of strategies and policies.

Please let us know how we can help. We are eager to hear from you at contact@subula.com

This content was created by a human with support from AI.”  

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