| --- |
| 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)* |
