[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-600426-105":59,"doc-detail-600426-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","the-ai-generative-text-to-image-creative-learning-process-an-art-and-design-educational-perspective","The AI Generative Text-to-Image Creative Learning Process - An Art and Design Educational Perspective","","Artificial intelligence generative text-to-image systems are examined as learning technologies that may generate both utopian and dystopian educational visions. The study investigates how AI image creation can contribute to and change art and design education through exploratory experiments with multiple generators, prompts, and settings, alongside reflections and an online ethnography on a text-to-image community. Identified learning potentials are discussed with attention to interaction issues and contexts of use.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/the-ai-generative-text-to-image-creative-learning-process-an-art-and-design-educational-perspective/600426/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/the-ai-generative-text-to-image-creative-learning-process-an-art-and-design-educational-perspective/600426.png","ImageObject",300,407,{"name":92,"@type":93},"OmBimo","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-05","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the main research question of the study?","Question",{"text":112,"@type":113},"How AI text-to-image generators can contribute to and change art and design education.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How did the researchers explore the use of text-to-image generators?",{"text":117,"@type":113},"They conducted exploratory experiments using different AI text-to-image generators, prompts, and settings, while writing reflections throughout the process.",{"name":119,"@type":110,"acceptedAnswer":120},"What factors are considered when discussing outcomes of text-to-image generation?",{"text":121,"@type":113},"The study highlights learning potentials and addresses issues of interaction, possible contexts of use, and how prompts and generator options influence results.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},600426,1792209051,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},962090893581,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","The AI generative text-to-image creative learning process: An art and design educational perspective  \nTore Andre Ringvold, Oslo Metropolitan University Ingri Strand, Oslo Metropolitan University  \nPeter Haakonsen, Oslo Metropolitan University Kari Saasen Strand, Oslo Metropolitan University  \nAbstract  \nIn today’s constantly changing world technological developments in artificial intelligence (AI) can induce educational visions of both utopia and dystopia. New technologies and communication platforms can provide new forms and possibilities of learning. Creating animage has historically mostly been a human process of using knowledge and application of technique that demanded training. This image-making process changed with the invention, development and spread of the photographic camera, when creating a detailed visual representation of reality became a possibility without a complex process of craftsmanship and artistry. The nature of visual art changed but the visualisation of ideas and prefigurative thoughts could not necessarily be captured by a camera. With the development and spread of AI text-to-image generation, can this change the need for competency to visualise ideas in the way the camera changed the need for drawings and paintings as visual representations? This study explores how AI text-to-image generators can contribute to and change art and design education. We conducted exploratory experiments where we tested a variety of AI text-toimage generators and explored the outcome of using different generators, prompts and settings. Reflections were written down throughout the process. This was combined with an online ethnography on a text-to-image community. Different potentials of learning were identified, as well as issues of interaction and possible contexts of use. The results are discussed in a future learning context.  \nKeywords  \nArtificial intelligence, Text-to-image generation, Art and design education, Visualisation  \nIntroduction  \nEducation and the way we learn needs to adapt to society. Constant changes in technology have led to new cultures and places of learning (Thomas & Brown, 2011) . Artificial intelligence (AI) represents a digital technology that has great power to change society. With the rapid development of AI technology, educators need to adapt to emerging technology that can potentially change how we work and produce. Artificial intelligence text-to-image technology has been developed since 2014 and increased in popularity after the introduction of DALL-E in 2021 (Cetinic & She, 2022) . In 2022, this development accelerated rapidly with the launch of services such as Midjourney, OpenAI’s DALL-E 2, Adobe Firefly, and Stable Diffusion. With the widespread use and rapid technological development, there is a need for research to critically look at the possible use and application of AI text-to-image generation. In this study, we ask: How can AI text-to-image generators contribute to and change art and design education?  \nBackground  \nA short history of visualisation  \nPrefigurative thinking is seen as an important part of what constitutes being human (Fry, 2012) . The prefigurative thought of an idea or concept can be materialised through medium and technique. Doing this, and also being good at it, are no easy tasks. It takes time to develop the knowledge and skills to produce traditional visual forms that constitute sensorimotor activities, such as drawing and painting. There were no quick-fix methods for creating quality visualisations before the introduction of photography. The process of image creation underwent a significant transformation with the advent, progress, and widespread use of the photographic camera (Gombrich, 1982) . The camera enabled the creation of highly accurate visual depictions of reality without intricate craftsmanship and artistic techniques. However, as prefigurative thoughts cannot necessarily be captured by a camera, there is a need for skills in drawing and illustrat","cbCaime5DSjfA8rv","https://ap.wps.com/l/cbCaime5DSjfA8rv","pdf",1006640,21,"English","# Introduction\n## Background\n### A short history of visualisation\n### Text-to-image generation technology\n## A changing art and design education providing competencies for the future","[{\"question\":\"What is the main research question of the study?\",\"answer\":\"How AI text-to-image generators can contribute to and change art and design education.\"},{\"question\":\"How did the researchers explore the use of text-to-image generators?\",\"answer\":\"They conducted exploratory experiments using different AI text-to-image generators, prompts, and settings, while writing reflections throughout the process.\"},{\"question\":\"What factors are considered when discussing outcomes of text-to-image generation?\",\"answer\":\"The study highlights learning potentials and addresses issues of interaction, possible contexts of use, and how prompts and generator options influence results.\"}]","The AI Generative Text-to-Image Creative Learning Process - An Art and Design Educational Perspective | PDF",1792090668,53]