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Can AI enhance how we design learning experiences?

Educators can integrate AI into learning management systems to generate new ideas and improve existing courses
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Instructure
30 Oct 2024
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Two years after generative AI stormed into the global spotlight, fears about its negative impact are giving way to a growing interest in how it can improve education. As institutions adapt to the ubiquity of AI, sharing knowledge and best practices on how to use it effectively is important. A 色盒直播 webinar, held in partnership with Instructure, highlighted some of the ways that AI can be used to enhance learning experiences.

Canvas, the widely used virtual learning environment, is at the core of Instructure鈥檚 digital ecosystem, said Eumari Bonilla Cartier, regional director at Instructure: 鈥淲e have collaborated closely with our education partners to understand their future needs. As a result, we have built a comprehensive ecosystem of solutions.鈥

Cartier also stressed the importance of sharing tips and insights to enhance learning design. 鈥淲e have a highly engaged community of Canvas users from institutions across the world sharing best practice. So whether you are seeking inspiration or eager to contribute your insights, there is a strong community you can connect with at the click of a button,鈥 she said.

Sara Garc铆a, designer and learning management system administrator at ISDI Digital Business School, said that AI should be considered a 鈥渘ew type of co-worker鈥. It can be a creative assistant that supports educators in expanding their vision of how they teach. 鈥淎I can be something that helps us in our daily work to get new ideas or fulfil boring tasks,鈥 she explained. It can also streamline academic workflows and suggest creative solutions and ideas.

Garc铆a said that AI could be a useful partner in the learning design process, from research to implementation. She has found that suggestions from ChatGPT and similar tools add to the learning experience considerably. The effectiveness of AI鈥檚 output will often depend on the prompt, she added. She suggested using prompts such as 鈥渁ct like a [job title]鈥 or 鈥渁ct like an expert鈥, asking for ideas on how the task could be presented in a more innovative way and using multiple prompts to elaborate on initial responses. However, she warned that there was no magic formula and that a more complicated prompt would not always guarantee a better result. 

Cartier spoke about the benefits of integrating AI into learning management systems to make course creation and implementation easier for educators. She highlighted some AI-powered features available on Canvas, such as discussion summaries and translation, smart search and intelligent insights.

鈥淎I tools gave me options I might not previously have been aware of and was a really quick way to expand my vision,鈥 said Garc铆a. She urged educators to approach AI with caution and continue to think critically about the responses provided by these tools. 

Furthermore, the environmental impact of generative AI should not be ignored. When large language models are accessed by millions of users, the servers needed to perform these tasks consume phenomenal amounts of electricity and water. 鈥淎I can feel like magic but it has real-life consequences,鈥 Garc铆a concluded.  

The panel:

  • Eumari Bonilla Cartier, regional director, Instructure
  • Sara Garc铆a, designer and LMS administrator, ISDI Digital Business School
  • Sreethu Sajeev, branded content deputy editor, Times Higher Education (chair)

about Instructure.

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