Name: MARCOS ALÉCIO SPALENZA
Publication date: 27/04/2023
Examining board:
Name |
Role |
|---|---|
| CLAUDINE SANTOS BADUE | Examinador Interno |
| ELIAS SILVA DE OLIVEIRA | Presidente |
| PATRICK MARQUES CIARELLI | Examinador Interno |
| PRISCILA MACHADO VIEIRA LIMA | Examinador Externo |
| RAFAEL BASSI STERN | Examinador Externo |
Summary: The evaluation is a basic step that composes the learning assessment and guarantees
progress through the planned curriculum. On learning assessment, the application of
open-ended questions contributes to developing critical thinking and writing skills. The
tutor must adapt your teaching methods at a large scale, avoiding assessment overload.
Even though small documents, the answer collection produces a large corpus. Meanwhile,
the tutor should analyze details inside these answers to identify potential learning gaps.
Therefore, the adoption of educational supporting methods aims to improve the teacher’s
analytical capacity and, consequently, intensify monitoring of the student’s learning. Over
these studies, we present an Active Learning model for educational document classification,
specifically for Short Answer Grading problems. For this purpose, we combine clustering and
classification models for pattern recognition with grammatical, morphological, semantic,
syntactic, statistical, and sequential analyses for textual enrichment. The system aims to
approximate the textual patterns to the tutors’ evaluation criteria, reducing their effort
and supporting the learning assessment. We apply our method to 65875 students’ answers
among 255 questions found in Short Answers Graders’ literature. According to the human
graders, our proposal achieves an average accuracy of 79% and a weighted F1 of 78%.
