Banca de DEFESA: ELIAN DA SILVA SANTOS LEITE

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : ELIAN DA SILVA SANTOS LEITE
DATE: 10/04/2024
TIME: 09:00
LOCAL: Sala Virtual Google Meet
TITLE:

Assessment of Lexical Wealth in School Manuscripts of Newly Literate Students: A Comparative Analysis Brazil-Portugal with the Aid of Lexicanalytics Web

KEY WORDS:

Children's Writing. Lexical Knowledge. Linguistic Indicators. Textual Assessment. Lexicanalytics Web.

PAGES: 160
BIG AREA: Ciências Humanas
AREA: Educação
SUBÁREA: Ensino-Aprendizagem
SPECIALTY: Avaliação da Aprendizagem
SUMMARY:

The evaluation of Lexical Richness is an important educational strategy for the teaching-learning process of textual production, helping teachers in diagnosing students' lexical skills and knowledge, as well as in understanding the characteristics of their texts. Thus, the present study has as general objective to evaluate the Lexical Richness in texts produced by newly literate Brazilian and Portuguese students, based on a collaborative writing methodology. The corpus of this research is composed of a set of 186 textual productions, of which 86 were written by dyads of Brazilian students and 100 by dyads of Portuguese students. The collection of these texts took place between 2012 and 2015 during the InterWriting project. The research subjects are 62 children (22 Brazilian and 40 Portuguese) aged between six and eight years. With regard to the education of Brazilian children, 12 attended the 1st year of Elementary School and ten the 2nd year of Elementary School in the same private school in Maceió/Alagoas. The Portuguese children were in the 2nd year of Basic Education, consisting of 20 students from a primary school in the rural area and 20 students from a primary school in the urban area of the city of Aveiro. the data analysis comprised the normative transcription of the texts. To measure lexical richness, parameters were considered as the Total Written Words (TPE), Lexical Density (DeL) and Lexical Diversity (DiL), which were extracted from the texts with the help of the Lexicanalytics software, so that the values obtained were organized in tables for the analysis of descriptive and inferential statistics. With the data obtained, treatment, computation and visualization were done using the Python language, through the Google Colab software. With regard to preliminary results, when applying Pearson's correlation coefficient between DiL and RL we obtained approximately 0.81. Between DeL and RL we obtained 0.62. This demonstrates a positive correlation of RL with both categories, indicating that the greater the DiL and DeL of a text, the greater its Lexical Richness. In applying the Kruskal-Wallis hypothesis test, we obtained a p-value greater than 0.05, indicating that no significant differences were observed in the Lexical Riches of the analyzed texts, whether Brazilian or Portuguese. Based on these preliminary results, we will continue this research, relating our findings with existing literature to identify similarities and differences. Furthermore, we will also delve into the implications of our results for studies about Lexical Richness, as well as for the teaching-learning process of textual production in a school context.

COMMITTEE MEMBERS:
Externo(a) ao Programa - 1388993 - BRUNO ALMEIDA PIMENTEL - UFALExterno(a) à Instituição - DÉBORA AMORIM GOMES DA COSTA-MACIEL - UPE
Presidente - 2145404 - EDUARDO CALIL DE OLIVEIRA
Interno(a) - 2343573 - LEONARDO BRANDAO MARQUES
Externo(a) à Instituição - PEDRO DE LEMOS MENEZES - UNCISAL