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@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+grades.csv filter=lfs diff=lfs merge=lfs -text
+interactions.csv filter=lfs diff=lfs merge=lfs -text

.ipynb_checkpoints/README-checkpoint.md

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+# 🎓 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)*

README.md

@@ -0,0 +1,67 @@
+# 🎓 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)*

grades.csv

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+oid sha256:62434af54b926368a1947f6872bc7eda774f0c50efdc7d8581d0dec53c7ed188
+size 57149332

grades.parquet

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+oid sha256:c50ebf65accfd520d6b70427da76e137171ec551aebc0708b1c972aa122b12c9
+size 6176481

interactions.csv

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+oid sha256:6a163fdf946b2e1561f9c6a978a626e03c086e4ad94222592813f989d951ffd2
+size 68940899

interactions.parquet

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+oid sha256:030d28998dde5524e8cc9dc8cf36e7ea1f01b0f5c9f4f28470c73a88ab6a5934
+size 5131439