Recent progress in affective computing is having an important impact on the development of Intelligent Tutoring Systems (ITS). Many ITS use action logs to record user's interaction with the system, such as to discover important information that help instructional designers to improve the ITS performance. However, finer grain interaction data as well as emotional information gathered from external sources is required to determine affective or mental states that can be used to enrich learner's

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... erience with affective support. In this paper, we discuss what is needed to design an experiment for capturing relevant information from an ITS to improve the learner's competence in solving algebraic word problems considering learners' emotional and mental states.