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▣ A one-task policy template
           Permitted: using the tool to understand instructions, generate revision questions,
           improve clarity of language after writing a personal draft, or propose examples that you
           then verify.
           Conditional: using the tool to organize the argument or compare alternatives, provided
           you disclose it and state what was changed or rejected.

           Prohibited: generating the complete final answer, fabricating sources, entering sensitive
           data, or presenting the tool’s output as unreviewed personal work.
           Disclosure required: the name of the tool, the purpose, where it was used, its effect on
           the final version, and what the learner verified themselves.


         6.8 Accessibility, Inclusive Learning, and Different Needs
           ◆ Key idea: inclusion removes barriers; it does not multiply versions.

           The inclusiveness of teaching is not measured by the number of versions AI produces, but
           by its ability to remove barriers and enable participation and expression, while preserving
           a meaningful educational objective, the learner’s dignity, and their choice.


         AI may open important opportunities for learners with disabilities, for those learning in a
         second  language,  and  for  anyone  who  needs  organization,  simplification,  or  conversion
         between media. It can create a first description of an image, summarize a text in clear

         language, turn speech into text, propose several examples, or reorganize a task. But an
         automated  output  is  not  automatically  accessible,  and  it  may  contain  an  incomplete
         description, confusing language, or an order unsuited to a screen reader.


         Universal  design  for  learning  offers  a  framework  for  building  experiences  that  reduce

         barriers  from  the  outset.  Current  guidance  focuses  on  multiple  means  of  engagement,
         representation, and action and expression, and aims to strengthen learner agency and the
         capacity to choose and reflect [6][19]. This does not mean producing a separate lesson for

         each person; it means offering varied ways to access, take part, and demonstrate learning.
         Engagement concerns motivation, identity, belonging, and choice. AI may help connect an
         activity to different interests or propose roles within a group, but personalization based on

         stereotypes or sensitive inferences must be avoided. The learner must remain able to choose
         a suitable path rather than be confined to a profile that predicts what suits them.

         Representation concerns how information is presented. Text, audio, diagrams, tables, and

         examples can be offered, with vocabulary and symbols explained. The visual form must not
         be mere decoration, and the meaning must not disappear when content is converted. An
         equation needs a description of its structure, and a diagram needs alternative text that

         states the essential relationship, not only the colors.

         Action and expression concern how the learner shows what they know. The objective may
         be demonstrable through writing, a presentation, a spoken explanation, a performance, or


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