GamifIcA Edu: AI Assistant Conversations for Educational Gamification Tests

Conversations with a custom GPT assistant named 'GamifIcA Edu' were systematically validated across five distinct educational scenarios. The dataset likely contains the natural language interactions from four different tests per scenario, representing varied learning contexts across multiple academic disciplines. This work by López Galisteo, Antonio Julio was harvested on October 14, 2025.

Use Cases

• Analyzing the performance of a specialized GPT assistant based on its responses to pre-designed instructional frameworks.
• Studying natural language interactions in educational contexts to reduce the need for complex prompt engineering.
• Evaluating AI-generated content for gamification and serious game design across multiple academic disciplines.
• Benchmarking AI assistant effectiveness using a structured rubric across varied learning scenarios.

Strengths

• Validation employed a comprehensive rubric across five distinct use-case scenarios.
• Each scenario was subjected to four different tests representing varied learning contexts.
• The assistant was designed to generate contextually appropriate responses through natural language, eliminating complex prompts.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

e-cienciaDatos Harvested Dataverse

Collection Method

Conversations generated and collected during the validation of a custom GPT assistant.

Time Range

null

Freshness

Last updated 2025-10 14 21:55:31; freshness should be verified.

Geography

null