---
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]((https://sites.google.com/nees.ufal.br/wapla26/))) is a satellite event of the _XV Brazilian Congress on Informatics in Education_ (Congresso Brasileiro de Informática na Educação, [CBIE 2026](https://cbie.sbc.org.br/2026/)).
>
> In 2026 the 4th Edition of WAPLA, in partnership with the Cogna Learning Engineering Core ([Núcleo de Engenharia do Aprendizado Cogna (NEAC)](https://www.cogna.com.br/)), 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](https://sites.google.com/nees.ufal.br/wapla26/)

## 📚 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](https://www.kaggle.com/competitions/interacoes-do-edu)*