human-centered design

FeaturedOriginal

Integrating AI in Education: Educational Technology Practices, Tools, and Accessibility

Artificial intelligence (AI) is increasingly a topic of interest and concern in higher education. Much of the current research focuses on AI policies, how AI is changing education, and the AI use cases that include benefits (e.g., new insights) and concerns (e.g., academic integrity) of AI use. This article focuses on AI integration and builds on an earlier article on AI tools, algorithmic literacies, and educational technology, demonstrating how inclusive design impacts accessibility and the design of AI in education. With this understanding, educators can evaluate existing educational technologies and AI tools as options they may consider adding to their curriculum. The integration ideas presented may help educators plan for educational technology practices, such as scaffolded lessons and assessments for AI literacy (which include digital and AI literacy frameworks and the benefits and challenges of AI). Additionally, these ideas may help educators get started with AI by offering suggestions on technologies to evaluate.

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EducationOriginal

Ensuring Human-Centered AI EdTech: Inclusive Design and Evolving Information, Digital, Media, and Algorithmic Literacies

Emerging technologies increasingly impact the design of and access to education. Current research in higher education and educational technology argues the benefits (e.g., time-saving, personalization, scalability) and concerns (e.g., academic integrity, accessibility, data reliability, ethics, privacy) of students using artificial intelligence in education. Though these pro and con lists may be valid and growing, a perspective is often missing from conversations about AI in education: accessibility and people with disabilities. This article first reviews the importance of understanding relevant literacies—information, digital, media, and algorithmic—and describes examples of educational technologies (EdTech) that highlight learning objectives of using and creating knowledge and content with those tools. Then, inclusive and human-centered design principles are discussed as a foundational construct to design human-centered AI and use cases for integrating AI in learning design.

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