Interactions and Relationships Between Teacher’s Weaving Postures and Students’ Study Postures According to ICHC-<I>M<SUB>GK</SUB></I> at the Bourbon College, La Réunion

This study aims to explore the relationships between students and the teacher during mathematics learning sessions, more precisely when solving proportionality problems in the third grade class at the Bourbon College, located on the island of La Réunion, France. The main objective is to examine the links between the weaving postures adopted by the teacher and the students’study postures, based on the theories developed by Bucheton and Soulé (2009). These postures play a key role because they structure the classroom environment and directly influence students’ engagement and understanding. For this study, video sequences, with a total duration of 256 minutes, were recorded in order to observe classroom interactions. These videos were cut into sequences of two minutes each (i.e. 128 sequences in total). The collected data were then analyzed using the theory of Implicative Statistical Analysis (ISA), an asymmetric analysis method that crosses subjects or objects with variables of different types, here of the Boolean type. The extension technique of the Implicative and Cohesive Hierarchical Classification (ICHC), called ICHC based on Measure Guillaume-Kenchaff (<I>M<SUB>GK</SUB></I>), was used for data exploration and analysis. This method makes it possible to address the numerical and graphical issues associated with the ASI, and to classify the valid <I>M<SUB>GK</SUB></I> rules according to the cohesion index, in order to extract meta-rules facilitating the interpretation of the results. The results show that when the teacher establishes connections between the knowledge taught, the students adopt a school posture favorable to the assimilation of knowledge. However, in this study, it appears that weaving postures are little used by the teacher, with less than 20% frequency of occurrence, which limits the links between the teacher’s weaving postures and the students’ study postures, while these interactions are essential to academic success. By better understanding the individual and collective needs of students, teachers can adjust their teaching methods to create a learning environment more conducive to the success of all. Such an adaptation, taking into account the specificities of each learning context, could significantly improve academic results as well as students’ engagement in their learning of mathematics.

Authors

Institutions

Publication Details

Journal
American Journal of Education and Information Technology
Published
2024-10-31
DOI
https://doi.org/10.11648/j.ajeit.20240802.15
Primary Topic
Hearing Impairment and Communication
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interactions and Relationships Between Teacher’s Weaving Postures and Students’ Study Postures According to ICHC-<I>M<SUB>GK</SUB></I> at the Bourbon College, La Réunion

Hery Frédéric Rakotomalala, Lwanga Albert Razafindrabehita, Vatosoa Tsirinala Fabiola Ravelojaona, Juvenile Christalin Ravelomanana et al.
American Journal of Education and Information Technology
Hearing Impairment and Communication
article

Interactions and Relationships Between Teacher’s Weaving Postures and Students’ Study Postures According to ICHC-<I>M<SUB>GK</SUB></I> at the Bourbon College, La Réunion

Hery Frédéric Rakotomalala, Lwanga Albert Razafindrabehita, Vatosoa Tsirinala Fabiola Ravelojaona, Juvenile Christalin Ravelomanana, André Totohasina
article en

Abstract

This study aims to explore the relationships between students and the teacher during mathematics learning sessions, more precisely when solving proportionality problems in the third grade class at the Bourbon College, located on the island of La Réunion, France. The main objective is to examine the links between the weaving postures adopted by the teacher and the students’study postures, based on the theories developed by Bucheton and Soulé (2009). These postures play a key role because they structure the classroom environment and directly influence students’ engagement and understanding. For this study, video sequences, with a total duration of 256 minutes, were recorded in order to observe classroom interactions. These videos were cut into sequences of two minutes each (i.e. 128 sequences in total). The collected data were then analyzed using the theory of Implicative Statistical Analysis (ISA), an asymmetric analysis method that crosses subjects or objects with variables of different types, here of the Boolean type. The extension technique of the Implicative and Cohesive Hierarchical Classification (ICHC), called ICHC based on Measure Guillaume-Kenchaff (<I>M<SUB>GK</SUB></I>), was used for data exploration and analysis. This method makes it possible to address the numerical and graphical issues associated with the ASI, and to classify the valid <I>M<SUB>GK</SUB></I> rules according to the cohesion index, in order to extract meta-rules facilitating the interpretation of the results. The results show that when the teacher establishes connections between the knowledge taught, the students adopt a school posture favorable to the assimilation of knowledge. However, in this study, it appears that weaving postures are little used by the teacher, with less than 20% frequency of occurrence, which limits the links between the teacher’s weaving postures and the students’ study postures, while these interactions are essential to academic success. By better understanding the individual and collective needs of students, teachers can adjust their teaching methods to create a learning environment more conducive to the success of all. Such an adaptation, taking into account the specificities of each learning context, could significantly improve academic results as well as students’ engagement in their learning of mathematics.

American Journal of Education and Information TechnologyVol. 8(2)
Université d’Antsiranana (MG)
Quality Education
Openalex Percentile: Top 76%
Hearing Impairment and Communication
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.