Datasets:
license: cc-by-sa-4.0
language:
- pt
tags:
- text
- education
- assessment
- learning
- educational-ai
pretty_name: EDU Interactions
size_categories:
- 100K<n<1M
configs:
- config_name: default
data_files:
- split: grades
path: grades.csv
- split: interactions
path: interactions.csv
🎓 IV WAPLA: EDU AI Assistant - Digital Learning Insights
The IV Workshop on Practical Applications of Learning Analytics and Artificial Intelligence in Brazil (Workshop de Aplicações Práticas de Learning Analytics em Instituições de Ensino no Brasil, WAPLA 2026) is a satellite event of the XV Brazilian Congress on Informatics in Education (Congresso Brasileiro de Informática na Educação, CBIE 2026).
In 2026 the 4th Edition of WAPLA, in partnership with the Cogna Learning Engineering Core (Núcleo de Engenharia do Aprendizado Cogna (NEAC)), promotes two educational data analysis competitions. The first is the Interações do EDU (EDU Interactions) competition.
For more information, refer to the official WAPLA website: WAPLA 2026
📚 Overview and Context
This dataset contains academic records and interaction logs from students enrolled in undergraduate distance learning courses who had access to EDU, an AI-based generative learning assistant integrated into the institution's virtual learning environment. EDU is used during various learning activities — such as reading instructional materials, viewing educational videos, and completing formative exercises — to answer questions, provide explanations, suggest prompts, summarize content, and support students throughout their learning process.
🗂️ Dataset Structure
The dataset is composed of two relational tables that can be joined by id_aluno and disciplina:
| Table | Description |
|---|---|
| GRADE | Academic results at the student-discipline level |
| INTERACTIONS | EDU usage records in learning activities |
Table: GRADE
| Variable | Type | Description |
|---|---|---|
id_aluno |
Integer | Anonymous student identifier |
disciplina |
Text | Discipline/subject name |
inicio_disciplina |
Date | Discipline/subject start date |
termino_disciplina |
Date | Discipline/subject end date |
status_disciplina |
Categorical | Final enrollment status (e.g., PASSED, FAILED, CANCELED) |
nota_final |
Numeric | Final grade obtained in the subject (scale 0–100) |
is_eletiva |
Boolean | Elective discipline (TRUE) or required (FALSE) |
Observations:
- The same student may appear in multiple records due to enrollment in different disciplines;
- Cancelled disciplines may also be present;
- Discipline durations vary between offerings;
Table: INTERACTIONS
| Variable | Type | Description |
|---|---|---|
id_aluno |
Integer | Anonymous student identifier |
momento |
Categorical | Learning context (LEARNING_VIDEO, LEARNING_TEXT, LEARNING_QUESTION) |
disciplina |
Text | Discipline where the interaction occurred |
qtd_mensagenstotal |
Integer | Total number of messages exchanged |
qtd_mensagenserro |
Integer | Messages with system errors or failed responses |
qtd_mensagensedu |
Integer | Messages generated by EDU |
qtd_mensagensaluno |
Integer | Messages sent by the student |
qtd_csat_respondido |
Integer | CSAT (Customer Satisfaction) evaluations responded to |
csat_medio_respostas |
Numeric | Average value of CSAT evaluations (missing values possible) |
timestamp_inicio_mensagens |
Date | Start date of the interaction record |
Learning Context (momento):
- LEARNING_VIDEO are interactions during educational video activities;
- LEARNING_TEXT are interactions during textual content reading;
- LEARNING_QUESTION are interactions during exercises, quizzes, or question-based activities;
Satisfaction Variables:
Not all interaction records contain satisfaction evaluations. The variables qtd_csat_respondido and csat_medio_respostas register this information when available.
Dataset provided for educational and research purposes. The competition is hosted on Kaggle: Interações do EDU