Classrooms studying Sansibar oder der letzte Grund often include students who are learning in a second or third language. These students may read the novel in German, in translation, or in a mix of both, and their essays reflect the added effort of writing analytically in a language still under development. Grading their work fairly requires teachers to look past surface errors to the thinking beneath.

The central risk is conflating language proficiency with understanding. A paper with frequent grammatical errors may contain a perceptive reading of Pastor Helander's dilemma, while a polished paper may offer only generalities. If the grade follows the polish, students who think deeply but write imperfectly are unfairly penalized.

Separating criteria is the most reliable solution. A rubric that scores interpretation, evidence, organization, and language independently makes it possible to recognize strengths in each area. It also tells students where to focus their efforts.

Adjusting expectations without lowering standards

Fair grading does not mean lowering expectations for analysis. Multilingual students can and should be held to the same standards for argument and evidence as their peers. What changes is the weight given to surface accuracy and the type of feedback offered on language.

• Score interpretive quality independently from grammatical accuracy
• Focus language feedback on patterns rather than every individual error
• Allow access to dictionaries or glossaries where policy permits
• Provide sentence frames for analytical moves when students need support
• Praise specific insights so students see their strengths

Feedback on language that students can use

Language feedback is most helpful when it identifies patterns. If a student consistently misuses a particular verb tense or struggles with word order in subordinate clauses, a single note explaining the pattern is more useful than correcting every instance. This approach prevents the paper from becoming a sea of red marks.

Models of analytical language can also help. Offering sentence starters such as "This passage suggests that" or "The narration emphasizes" gives students phrases they can reuse. Over time, these structures become part of their writing repertoire.

How AI can support equitable feedback

AI grading tools can provide separate feedback for content and language, which supports the kind of criterion separation that fairness requires. They can identify recurring language patterns and suggest improvements without overwhelming the student. This frees teachers to engage with the ideas in the essay.

Teachers should still review the output to ensure that the tone is encouraging and that feedback matches each student's level. A tool may overcorrect or use vocabulary that the student cannot yet use. Human oversight keeps the feedback accessible and supportive.

Building confidence in academic writing

Multilingual students often lack confidence in their writing even when their ideas are strong. Regular, specific praise for insight can counter this. Pointing out a well-observed connection between Judith and the Junge, for example, shows the student that their thinking matters.

As confidence grows, so does fluency. Students who receive fair, supportive feedback are more willing to take interpretive risks and revise their work. The result is stronger writing and a more inclusive classroom.