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• Error analysis in teaching combinatorics: the development of prospective teachers’ confidence and problem-solving skills

  103-125

  Zoltán Paulovics

  Csaba Csapodi

  Zoltán Lóránt Nagy

  Views:

  78

  This study investigates the pedagogical potential of error analysis in the teaching of combinatorics within mathematics teacher education. Building on previous research that highlights the role of incorrectly worked sample solutions in cognitive, metacognitive, and affective learning processes, we conducted a mixed-methods study with prospective mathematics teachers at Eötvös Loránd University. Quantitative results from Likert-scale questionnaires (n = 26) indicate that regular analysis of incorrectly worked solutions substantially enhanced participants’ self-confidence, strengthened their problem-solving skills, and positively shaped their attitudes toward future teaching practice. Complementary qualitative data, analyzed through grounded theory, revealed five interrelated categories – self-reflection and confidence, discernment, deeper understanding, methodological surplus, and combinatorial surplus – that together explain the mechanisms through which error analysis supports professional growth. The findings suggest that systematic analysis of conceptual errors not only improves problem-solving competence but also fosters self-confidence, self-reflection, and teaching-related attitudes. By comparing our emergent model of error-analysis thinking with Schoenfeld’s problem-solving framework, we argue that “discernment” constitutes a distinctive and central dimension of error-based learning. The study contributes both theoretically, by refining models of mathematical problem solving, and practically, by offering concrete recommendations for integrating error analysis into mathematics teacher education curricula.

  Subject Classification: 97C30, 97K20, 97D40, 97C70, 97C99

• On the relationship between Mathematics- and Computer Science Education

  15-34

  Karl Fuchs

  Views:

  253

  In the first half of the paper, the profile of the two scientific disciplines of Mathematics Education and Computer Science Education is traced. In Mathematics Education, the description has been given in a short longitudinal section of its preying cornerstones since the beginning of the 1960s. In Computer Science Education, this is done through the description of an emancipatory science that has been taking place since the beginning of the 1990s. The second half of the contribution, with the discussion of the different perspectives of the two disciplines on the common topics of modeling and competence models, finally leads to the identification of the two disciplines as two autonomous and independent sciences.

• CAS as a didactical challenge

  379-393

  Edith Schneider

  Views:

  202

  The paper starts with the discussion of a concept of general mathematics education (mathematics education for everyone). This concept views the focus of teaching mathematics in the reduction of the demands in the field of operative knowledge and skills as well as in an increase of the demands in the fields of basic knowledge and reflection. The consequences of this concept are didactically challenging for the use of Computer Algebra Systems (CAS) in the teaching of mathematics. By reducing the operative work we reduce exactly that field in which the original potential of CAS lies. It is shown that in such maths classes the main focus of CAS is on their use as a pedagogical tool, namely as support for the development of basic knowledge and reflection as well as a model of communication with mathematical experts.