1. Emerging Technologies and Trends in Instructional Design 

Emerging technologies are innovations in the early stages of adoption that have the potential to transform educational practices (Johnson et al., 2024). In instructional design, these technologies provide new ways to create, deliver, and enhance learning experiences by increasing engagement, accessibility, and personalization (Reiser & Dempsey, 2018). Trends such as artificial intelligence (AI), virtual reality (VR), and immersive digital tools are reshaping how instructional designers develop courses and support learner success. AI applications like ChatGPT, Google Gemini, and Microsoft Copilot enable designers to generate content, automate feedback, and personalize learning pathways. Similarly, VR development tools such as Unity, Spatial, and Scenario allow designers to build immersive environments that simulate authentic experiences and foster experiential learning. By moving beyond traditional text-based or static content, these tools enable dynamic, interactive, and highly contextualized learning experiences.

AI-powered tools for generating images and content, along with VR environments for experiential learning, are beginning to influence the design of learning modules (Pantelidis, 2023). For example, AI image generators can create realistic, customized visuals tailored to specific learners or scenarios, while VR platforms allow immersive exploration of real-world spaces and workflows. These emerging technologies empower instructional designers to create more engaging, inclusive, and effective learning environments, supporting experiential and scenario-based learning while enhancing learner understanding, motivation, and retention (Johnson et al., 2024; Pantelidis, 2023).

2. Google Studio AI / Nano Banana and Spatial: Enhancing Instructional Design 

AI image generation tools, such as Google Studio and Nano Banana, are transforming how instructional designers create and customize visual content. These platforms allow designers to generate realistic, context-specific images for learning modules quickly, reducing reliance on stock photos or time-consuming graphic design (Brown & Green, 2023). For example, in the Orientation Course for ITS Accessibility Interns, prompts like “realistic human student arriving at the University of Tampa Office of Information Security & Technology, wearing black and red, with the university logo visible” or “office of Information Technology and Security at the University of Tampa, with computers, chairs, and entrance signage in white, black, and red branding colors” have been used to create visuals that authentically represent the real environment. By providing highly tailored visuals, AI tools enhance learner engagement, make scenarios more relatable, and support the clarity and realism of instructional content (Reiser & Dempsey, 2018; Johnson et al., 2024). 

Virtual reality (VR) platforms such as Spatial further expand the potential of instructional design by creating immersive, experiential learning environments. In VR, learners can explore virtual versions of real-world spaces, practice workflows, and engage with interactive scenarios without real-world constraints (Pantelidis, 2023). For instance, interns navigating a simulated ITS Accessibility Office in Spatial can better understand office layouts, processes, and collaboration practices.

Another example that highlights the potential use of VR is a virtual reality space I created on the Spatial platform. This project consists of a virtual geography gallery where learners explore five different learning spaces featuring countries, iconic landmarks, and national flags. By using consistent AI-generated images created from the same prompt, it was possible to design a cohesive and realistic virtual environment that introduced geographical and cultural concepts in an engaging and immersive way. Although this gallery is not directly related to the ITS Accessibility Orientation Course, it clearly demonstrates how meaningful learning experiences can be created in VR to enhance engagement, curiosity, and cultural understanding.

This project, developed as part of my exploration of emerging technologies, serves as an example of how AI-generated visuals and VR design can merge to create impactful, experience-driven learning spaces. Integrating AI-generated visuals with VR simulations opens opportunities for designing highly interactive, learner-centered modules that are engaging, accessible, and adaptable, aligning with modern principles of experiential and scenario-based learning (Reiser & Dempsey, 2018).

3. Integrating AI and VR: Benefits, Challenges, and Applications 

Google Studio AI (and similar tools like Nano Banana) and Spatial VR (including platforms like Unity and Scenario) offer distinct but complementary possibilities for instructional design. Google Studio AI excels at generating customized, realistic visuals that can enhance engagement and clarify content within learning modules. It allows instructional designers to quickly produce context-specific images tailored to learner needs, though it requires careful prompt design and attention to inclusivity to avoid biased or insensitive outputs (Brown & Green, 2023). In contrast, Spatial VR provides immersive, experiential learning environments, enabling learners to explore virtual spaces, practice workflows, and engage in scenario-based activities safely (Pantelidis, 2023). While VR offers powerful engagement and retention benefits, it demands more technical setup, hardware access, and careful consideration of accessibility (Reiser & Dempsey, 2018). 

Both technologies present exciting future applications: AI tools can facilitate on-demand content creation and dynamic scenario generation, while VR can support multi-user simulations, virtual field trips, and integration with AI-generated assets to create cohesive, interactive, learner-centered experiences (Johnson et al., 2024). Together, these emerging technologies illustrate how digital innovations can enhance both the visual and experiential dimensions of instructional design, preparing learners for more interactive, inclusive, and technology-enhanced educational experiences.

4. Conclusion

Exploring emerging technologies such as AI image generation and VR has highlighted their potential to transform the way I design learning experiences. AI tools like Google Studio and Nano Banana allow me to create highly customized, context-specific visuals that enhance engagement and clarify complex concepts, making modules more accessible and learner-centered. VR platforms like Spatial provide opportunities to design immersive, experiential environments where learners can safely practice skills, explore scenarios, and engage with content in meaningful ways. Integrating these technologies encourages me to think beyond traditional, text-heavy instruction, focusing instead on interactive, scenario-based, and inclusive learning experiences. Moving forward, these tools will influence my work by enabling more creative, adaptive, and impactful instructional designs that meet diverse learner needs and foster deeper engagement and understanding. 

Image Disclaimer: All visuals featured in this post were generated using AI tools, specifically Google AI Studio and Nano Banana (Gemini 2.5 Flash Image). These images were created using custom prompts to illustrate instructional design concepts and immersive learning examples. 

5. References

1. Brown, A. H., & Green, T. D. (2023). The essentials of instructional design: Connecting fundamental principles with process and practice (4th ed.). Routledge.

2. DeepMind, & Google. (2025, August 26). Introducing Gemini 2.5 Flash Image (Nano Banana). Google Developers Blog. https://developers.googleblog.com/en/introducing-gemini-2-5-flash-image

3. Dede, C., Jacobson, J., & Richards, J. (2017). Virtual, augmented, and mixed realities in education. Springer.

4. Google Cloud. (n.d.). Google AI Studio: Generating images and creative content with Vertex AI. Google. https://cloud.google.com/vertex-ai/generative-ai/docs/image/generate-images

5. Johnson, L., Becker, S. A., Cummins, M., Estrada, V., Freeman, A., & Hall, C. (2024). Horizon Report: 2024 Higher Education Edition. EDUCAUSE.

6. Pantelidis, V. S. (2023). Virtual reality in education: Principles and practices for immersive learning. Routledge.

7. Reiser, R. A., & Dempsey, J. V. (2018). Trends and issues in instructional design and technology (4th ed.). Pearson.

8. Spatial. (n.d.). Spatial: Create immersive experiences, classrooms, and 3D learning environments. https://www.spatial.io