{"id":78448,"date":"2025-10-02T00:32:58","date_gmt":"2025-10-02T04:32:58","guid":{"rendered":"https:\/\/world.edu\/?p=78448"},"modified":"2025-10-02T00:32:58","modified_gmt":"2025-10-02T04:32:58","slug":"we-teach-young-people-to-write-in-the-age-of-ai-we-must-teach-them-how-to-see","status":"publish","type":"post","link":"https:\/\/world.edu\/we-teach-young-people-to-write-in-the-age-of-ai-we-must-teach-them-how-to-see\/","title":{"rendered":"We teach young people to write. In the age of AI, we must teach them how to see"},"content":{"rendered":"

\"\"<\/p>\n

From the\u00a0earliest year of school<\/a>, children begin learning how to express ideas in different ways. Lines across a page, a wobbly letter, or a simple drawing form the foundation for how we share meaning beyond spoken language.<\/p>\n

Over time, those first marks evolve into complex ideas. Children learn to combine words with visuals, express abstract concepts, and recognise how images, symbols and design carry meaning in different situations.<\/p>\n

But\u00a0generative artificial intelligence<\/a>\u00a0(AI), software that creates content based on user prompts, is reshaping these fundamental skills. AI is changing how people create, edit and present both text and images. In other words, it changes how we see \u2013 and how we decide what\u2019s real.<\/p>\n

Take photos, for example. They were once seen as a\u00a0\u201cmirror\u201d of reality<\/a>. Now, more people recognise their\u00a0constructed nature<\/a>.<\/p>\n

Similarly, generative AI is disrupting long-held assumptions about the authenticity of images. These can appear photorealistic but can depict things or events\u00a0that never existed<\/a>.<\/p>\n

Our latest\u00a0research<\/a>, published in the Journal of Visual Literacy, identifies key literacies at each stage of the AI image generation process, from selecting an AI image generator to creating and refining content.<\/p>\n

As the way people make images changes, knowing how generative AI works will let you better understand and critically assess its outputs.<\/p>\n

Textual and visual literacy<\/strong><\/h4>\n

Literacy today extends beyond reading and writing. The\u00a0Australian Curriculum<\/a>\u00a0defines literacy as the ability to \u201cuse language confidently for learning and communicating in and out of school\u201d. The\u00a0European Union<\/a>\u00a0broadens this to include navigating visual, audio and digital materials. These are essential skills not only in school, but for active citizenship.<\/p>\n

These abilities span making meaning, communicating and creating through words, visuals and other forms. These abilities also require adapting expression to different audiences. You might text a friend informally but email a public official with more care, for example. Computers, too, demand different forms of literacy.<\/p>\n

In the 1960s, users interacted with computers through written commands. By the 1970s, graphical elements like icons and menus emerged, making interaction more visual.<\/p>\n

Generative AI is often a mix between these two approaches. Some technologies, like ChatGPT, rely on text prompts. Others, like Adobe\u2019s Firefly, use both text commands and button controls.<\/p>\n

\"\"

Adobe Firefly provides a suite of options for adjusting visual output, including whether the visual style is photorealistic, whether the image orientation is square, horizontal, or vertical, and whether any visual effects are desired. T.J. Thomson<\/p><\/div>\n

Software often interprets or guesses user intent. This is especially true for minimalistic prompts, such as a single word or even an emoji. When these are used for prompts, the AI system often returns a\u00a0stereotypical representation<\/a>\u00a0based on its training data or the way it\u2019s been programmed.<\/p>\n

Being more specific in your prompt helps to arrive at a result more aligned with what you envisioned. This highlights that we need \u201cmultimodal\u201d literacies: knowledge and skills that cut across writing and visual modes.<\/p>\n

What are some key literacies in AI generation?<\/strong><\/h4>\n

One of the first generative AI literacies is knowing which system to use.<\/p>\n

Some are free. Others are paid. Some might be free but built on\u00a0unethical datasets<\/a>. Some have been trained on particular datasets that make the outputs\u00a0more representative<\/a>\u00a0or\u00a0less risky<\/a>\u00a0from a copyright infringement perspective. Some support a wider range of inputs, including images, documents, spreadsheets and other files. Others might support text-only inputs.<\/p>\n

After selecting an image generator, you need to be able to work with it productively.<\/p>\n

If you\u2019re trying to make a square image for an Instagram post, you\u2019re in luck. This is because many AI systems produce images with a square orientation by default. But what if you need a horizontal or vertical image? You\u2019ll have to ask for that or know how to modify that setting.<\/p>\n

What if you want text included in your image? AI still struggles with rendering text, similarly to how early AI systems struggled with accurately representing\u00a0human fingers and ears<\/a>. In these cases, you might be better off adding text in a different software, such as Canva or Adobe InDesign.<\/p>\n

Many AI systems also create images that lack specific cultural context. This lets them be easily used in wider contexts. Yet it might decrease the emotional appeal or engagement\u00a0among audiences<\/a>\u00a0who perceive these images as inauthentic.<\/p>\n

\"\"

AI often struggles with rendering text. Here\u2019s how AI did with a request to create an image that included this headline, \u2018Give the A.I. Economy a Human Touch.\u2019 The authors via Midjourney, CC BY-NC-SA<\/p><\/div>\n

Working with AI is a moving target<\/strong><\/h4>\n

Learning AI means keeping pace with constant change. New generative AI products appear regularly, while existing platforms rapidly evolve.<\/p>\n

Earlier this year,\u00a0OpenAI integrated image generation into ChatGPT<\/a>\u00a0and\u00a0TikTok launched its AI Alive tool to animate photos<\/a>. Meanwhile,\u00a0Google\u2019s Veo 3<\/a>\u00a0made cinematic video with sound accessible to\u00a0Canva users<\/a>, and Midjourney introduced\u00a0video outputs<\/a>.<\/p>\n

These examples show where things are headed. Users will be able to create and edit text, images, sound and video in one place rather than having to use separate tools for each.<\/p>\n

Building multimodal literacies means developing the skills to adapt, evaluate and co-create as technology evolves.<\/p>\n

If you want to start building those literacies now, begin with a few simple questions.<\/p>\n

What do I want my audience to see or understand? Should I use AI for creating this content? What is the AI tool producing and how can I shape the outcome?<\/p>\n

Approaching visual generative AI with curiosity, but also critical thinking is the first step toward having the skills to use these technologies intentionally and effectively. Doing so can help us tell visual stories that carry\u00a0human rather than machine values<\/a>.<\/p>\n

Author Bios:<\/strong> T.J. Thomson is Senior Lecturer in Visual Communication & Digital Media at RMIT University, Daniel Pfurtscheller is Assistent Professor, Media Linguistics at the University of Innsbruck, Katharina Christ is a Senior Researcher, Media Studies at the National Institute for Science Communication, Katharina Lobinger is Professor of Online and Visual Communication at Universit\u00e0 della Svizzera italiana and Nataliia Laba is Assistant Professor in Digital and Multimodal Communication \/ Humane AI at the University of Groningen<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

From the\u00a0earliest year of school, children begin learning how to express ideas in different ways. Lines across a page, a wobbly letter, or a simple drawing form the foundation for how we share meaning beyond spoken language. Over time, those first marks evolve into complex ideas. Children learn to combine words with visuals, express abstract […]\n… learn more→<\/a><\/p>","protected":false},"author":33,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[434804],"tags":[435521],"coauthors":[11733],"class_list":["post-78448","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","tag-visualising"],"acf":[],"yoast_head":"\nWe teach young people to write. 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