Introduction to the Special Issue: Higher Education in an AI-Transformed World
Generative AI is rapidly reshaping higher education, forcing institutions to rethink teaching, learning, and institutional strategy.
Eulho Jung, Anita Samuel
Open Educational Resources (OER) improve accessibility and equity, but success requires addressing quality, discoverability, and licensing.
This paper provides a comprehensive overview of the history, types, adoption trends, and challenges of Open Educational Resources (OER). It highlights that while OER significantly improves global educational equity, creators and institutions still struggle with issues like discoverability, quality assurance, and formal integration. To address these hurdles, the review outlines best practices focusing on clear licensing, accessibility standards, and pedagogical design.
When designing with OER, prioritize resources with clear Creative Commons licensing and accessible formats to ensure seamless integration and compliance. Address discoverability issues by establishing institutional repositories or curated resource lists for design teams. Finally, focus on pedagogical alignment rather than just cost-saving, ensuring that open materials directly support learning objectives.
Generative AI is rapidly reshaping higher education, forcing institutions to rethink teaching, learning, and institutional strategy.
Using LLMs to dynamically theme datasets for student case studies boosts engagement but can introduce confusing real-world logical errors.
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