This article develops a methodology for creating diagnostic quizzes in e-learning, promoting active learning and addressing mathematics difficulties.
Self-assessment plays an important role in the teaching-learning process, as it helps students actively construct their own knowledge. This article aims to develop a methodology for creating quizzes for e-learning platforms, with the goal of addressing students’ difficulties in mathematics and promoting active learning. The proposed methodology begins with identifying the processes that students need to activate and analyzing the most common errors related to them. A key element is the integration of the MATH taxonomy to determine what is necessary or what is intended to be assessed with this type of question. In addition, Niss's skills are used, i.e., the skills that students need to answer these questions. An important part of the methodology is also the selection of mathematical language, which can be simple and close to everyday language or more sophisticated, verbal, symbolic or mixed, depending on the educational objective. This approach aims to create diagnostic and personalized questions designed to support self-assessment and independent learning in digital environments.
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Pepkolaj et al. (2026) studied this question.
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