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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-03062025-191518


Tipo di tesi
Tesi di dottorato di ricerca
Autore
MACCHIONI, ELENA
URN
etd-03062025-191518
Titolo
Capturing struggling students’ mathematics difficulties holistically: towards a characterization of Mathematics Discourse Participation Profiles
Settore scientifico disciplinare
MATH-01/B - Didattica e storia della matematica
Corso di studi
MATEMATICA
Relatori
tutor Prof.ssa Baccaglini-Frank, Anna Ethelwyn
Parole chiave
  • Commognition
  • inclusion
  • mathematics discourse participation profile (MDPP)
  • mathematics learning difficulties
Data inizio appello
12/03/2025
Consultabilità
Completa
Riassunto
The research in this thesis aims to develop a holistic description of struggling students' mathematics difficulties, taking into account cognitive, affective, and social dimensions. Specifically, I take a discursive perspective to study how high school students with a history of persistent low achievement in mathematics come to participate in such a discourse. I do this with the firm belief that an inclusive education must begin with a thorough examination of students' actual educational needs, which go beyond the purely cognitive. Indeed, achieving a more holistic perspective on students' difficulties should enable the development of activities and resources that address those needs or can be adapted accordingly; however, no study in mathematics education has yet achieved such a perspective. This study is part of a broader project called DynaMat (PRIN2020BKWEXR) with the aim of: defining a multidimensional construct that captures the essence of students' participation in mathematics; designing and experimenting technology-enhanced mathematics remedial activities for 10th-grade students with a history of low achievement in mathematics.
This thesis addresses the aim of outlining a student's Mathematics Discourse Participation Profile (MDPP), a construct, developed within the Commognitive theory, that comprises two essential components: mathematizing, which encompasses the cognitive dimensions; and identifying, which addresses the non-cognitive dimensions. The MDPP also describes the relationships between such components, expressing them through specific metadiscursive rules. This thesis also investigates potential changes in a student's MDPP over a brief time.
Data were collected at CARME in Pistoia, Italy.
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