Engineering prompts for codifying students’ prompt structure and understanding their learning perception from receiving feedback on an online activity using AI

This repository contains two engineering prompts. The first prompt is designed to formalize the structure used by students in a classroom activity, while the second prompt aims to capture their perception of the GenAI response and how it enhances the learning process. Additionally, the repository in...

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Detalles Bibliográficos
Autor: Rodriguez Donaire, Silvia
Tipo de recurso: conjunto de datos
Fecha de publicación:2024
País:España
Institución:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repositorio:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::d6cb3711005ba869cb3935a4746bc2cf
Acceso en línea:https://doi.org/10.34810/DATA1554
Access Level:acceso abierto
Palabra clave:Business and Management
Social Sciences
Other
GenAI
Prompt Structure
Teaching Innovation
Learning perception
Prompt efficiency
Descripción
Sumario:This repository contains two engineering prompts. The first prompt is designed to formalize the structure used by students in a classroom activity, while the second prompt aims to capture their perception of the GenAI response and how it enhances the learning process. Additionally, the repository includes a CSV file with a sample dataset. This dataset provides the reviewed codification of GenAI. It's important to note that the original information was in Spanish and Catalan and has been translated into English. The article's objective was to examine how the structure of the prompts influences students' perception of the comprehensiveness and accuracy of the responses generated by GenAI (ChatGPT, Gemini, Copilot, etc.) and how this, in turn, impacts the students' learning processes in an educational setting.