[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-619362-105":59,"doc-detail-619362-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","artificial-intelligence-ai-guidance-extended-project-qualification-7993","Artificial intelligence (AI) guidance Extended Project Qualification (7993)","","Artificial intelligence (AI) guidance for the Extended Project Qualification (7993) explains the overriding requirement that Centre Coordinators/Supervisors accept only work produced by learners themselves. It clarifies what counts as valid AI use—such as idea generation, preliminary research support, summarising articles, background explanations, project planning, and drafting interview/survey questions—while stressing that learners must provide evidence of decision-making, interpretation, and reflection. It also covers valid supervisor use, required acknowledgements in production logs, and steps to take if AI misuse is suspected.",{"@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":20,"@type":76,"position":81},"https://docshare.wps.com/document/exam/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/artificial-intelligence-ai-guidance-extended-project-qualification-7993/619362/",{"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/artificial-intelligence-ai-guidance-extended-project-qualification-7993/619362.png","ImageObject",300,407,{"name":92,"@type":93},"Eliana","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-03","2026-10-20",true,{"@type":102,"interactionType":103,"userInteractionCount":24},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the core principle for AI-related EPQ work acceptance?","Question",{"text":112,"@type":113},"Centre Coordinators/Supervisors must only accept project work that is the learners’ own. AI can support processes, but learners must still demonstrate their own evidence of thinking and evaluation.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What kinds of AI use are considered valid for learners in EPQ?",{"text":117,"@type":113},"Valid uses include idea generation, support during preliminary research, summarising long articles, background explanations, language simplification, project planning and time management, drafting questions (with justification), and analysing or organising data when paired with learner interpretation.",{"name":119,"@type":110,"acceptedAnswer":120},"What evidence and acknowledgement are required when learners use AI?",{"text":121,"@type":113},"Learners must acknowledge AI use, record it clearly in their Production log, and show how it was used so supervisors can validate the use and apply assessment criteria. 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It includes the steps to take if you suspect AI misuse.  \nIntroduction  \nThe overriding principle remains that Centre Coordinators/Supervisors must only accept work for project work which is the learners’ own.  \nAI tools are becoming more developed in their capabilities and are prevalent within operating systems and software, so it is important to consider the use of these tools in the context of this component.  \nLearners may not receive direct credit for the AI content itself. They must demonstrate evidence of decision making, interpretation and reflection on the output of the AI tool. This guidance should be read alongside JCQ’s AI Use in Assessments: Protecting the Integrity of Qualifications and existing AQA Extended Project Qualification specification.  \nValid use of AI in Project qualifications  \nThe lists of suppliers of AI-related products are for information purposes only and do not constitute an endorsement by AQA. It is each centre’s or individual’s responsibility to investigate and verify any suppliers they use, including any terms and conditions which govern the sale or use of the supplier’s products. The lists provided are not exhaustive.  \nAI may be legitimately used by learners for Project qualifications. For example:  \n• Idea generation for questions, approaches or topics.  \n• During preliminary research, for example, a student must decide whether adequate reliable research material will be available to them to enable evidence-based conclusions to be drawn for any chosen topic. Asking suitable questions of an AI tool may enable them to discern if a certain topic is suitable or unsuitable for the EPQ.  \n• To summarise a long article, to help them decide whether the article is relevant for their research.  \n• To generate background information to aid the learner’s understanding of a concept or to explore techniques or concepts.  \n• Language simplification, explaining difficult concepts in simpler terms.  \n• To help with project planning and time management.  \n• Creating draft interview or survey questions (learners must review and justify the final questions used, however) .  \n• To sort and display data.  \n• To analyse large data sets that a learner undertaking a Project Qualification would not have time to analyse themselves. The learner will not receive credit for the output of the AI tool, but will receive credit for the interpretation of the data analysis.  \n• Use one or more AI tools during the initial design and prototype stages of an artefact project; AI tools might produce mood boards or design ideas, for example, which can then be considered by the learner.  \nAI may be legitimately used by supervisors, for example:  \n• As an opportunity to teach students that AI tools are not infallible, that they may contain inherent and reprehensible bias, that they have great potential to help with research, but AI responses should always be considered with caution  \n• To prepare suitable coaching questions to pose at review meetings  \nIf a learner chooses to use AI to do any of these things they should refer to their use of AI within their Production log. They must not copy and paste from AI generated content without clear reference. Learners may not receive direct credit for the AI content itself but may still choose to use AI if, for example, it enables the learner to save time or analyse and evaluate data more effectively. Learners must evidence all the questions/prompts, together with the exact responses provided by the AI. Thoughtful and transparent use of AI tools may enhance the project process and support the development of higher-level skills.  \nWhere learners use AI, they must acknowledge its use and show clearly how they have used it in order that supervisors can acknowledge this u","cbCaie0Erq1mU6N0","https://ap.wps.com/l/cbCaie0Erq1mU6N0","pdf",192549,"English","# Introduction\n## Valid use of AI in Project qualifications\n## Project management and planning\n## Research assistants\n## Data analysis tools\n## What to do when AI is used","[{\"question\":\"What is the core principle for AI-related EPQ work acceptance?\",\"answer\":\"Centre Coordinators/Supervisors must only accept project work that is the learners’ own. AI can support processes, but learners must still demonstrate their own evidence of thinking and evaluation.\"},{\"question\":\"What kinds of AI use are considered valid for learners in EPQ?\",\"answer\":\"Valid uses include idea generation, support during preliminary research, summarising long articles, background explanations, language simplification, project planning and time management, drafting questions (with justification), and analysing or organising data when paired with learner interpretation.\"},{\"question\":\"What evidence and acknowledgement are required when learners use AI?\",\"answer\":\"Learners must acknowledge AI use, record it clearly in their Production log, and show how it was used so supervisors can validate the use and apply assessment criteria. They must provide evidence of the exact prompts/questions and the AI responses.\"}]","Artificial intelligence (AI) guidance Extended Project Qualification (7993) | PDF",1792462846,15]