Formative assessment improves human learning processes as it provides learners with information about what they need to work on. To automate formative assessment, we built a general model (GLMP) that allows the design of systems aimed at reproducing instructor's reasoning for learning assessment and generate a natural language assessment report. This paper presents a methodology for designing these automatic evaluators, highlighting the main points to be taken into consideration by the designer.

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We describe how to use a Granular Linguistic Model of a Phenomenon (GLMP) to assess e-learning processes. We apply this technique to evaluate algorithm learning using the GRAPHs learning environment.