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The creation of this resource was informed by interviews with practicing learning designers from Harvard Graduate School of Education’s Teaching and Learning Lab (TLL), a survey of learning designers’ usage of and perspectives on AI, and a review of existing discourse on AI in learning and instructional design.
Using Qualtrics, we designed a survey to gauge learning designers’ familiarity with AI, their current AI usage, their beliefs on its potential in various components of their work, and what resources on AI and learning design would be most useful to them. We collected responses from 30 learning designers.
Survey Results:
The majority of respondents shared that they both found AI to presently be useful to their work (Figure 1) and felt comfortable interacting with AI in their work (Figure 2). This data informed our decision to make a resource guide tailored to learning designers with intermediate knowledge of AI.
Figure 1
Figure 2
The responses displayed in Figures 3, 4, and 5 pertain to the following question: “AI can be used for many applications. How helpful do you feel AI might be in these aspects of your design work?” Learning designers shared that AI would be most helpful to assist their work in developing assessments, creating closed captioning, and analyzing data. To cater to these areas, the curated list of tools includes many relevant tools and applications.
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Figure 5
The responses shown in Figure 6 were most influential regarding the final content featured in the resource guide. The three most popular responses are included in the final product: a curated list of AI tools and their potential applications in learning design, advice for prompt engineering and prompt examples, and case studies showcasing successful AI integration in learning design products.
Figure 6
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