Decoding and discussing part-whole relationships in probability area models: The role of meaning-related language
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18 octobre 2020
- handle: 10670/1.hw6haz
- hal: hal-02970604
info:eu-repo/semantics/OpenAccess
Mots-clés
topic-specific language demands probability area model connecting multiple representations explicating relationshipsSujets proches
Probability Statistical inferenceCiter ce document
Monika Post et al., « Decoding and discussing part-whole relationships in probability area models: The role of meaning-related language », HAL-SHS : sciences de l'éducation, ID : 10670/1.hw6haz
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Résumé
Although the epistemic role of academic language for developing conceptual understanding has been shown for some mathematical concepts, more topic-specific research is required for specifying the academic language demands for students' meaning making processes in different mathematical topics. The design research study presented in this paper contributes to this research agenda by investigating tenth graders' learning pathways towards conceptual understanding of conditional probabilities in area models. The qualitative analysis of a design experiment shows that students' processes of decoding and discussing meanings of different probability statements require a systematic scaffold for explicating the underlying part-whole relationships: the area model is helpful, but not sufficient.