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

DOI

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.

ChatGPT, 4o

Students' answers in a classroom forum activity

Text data and data codification in a binary system

Identifier
DOI https://doi.org/10.34810/data1554
Related Identifier IsCitedBy https://doi.org/10.5772/intechopen.1006481
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data1554
Provenance
Creator Rodriguez Donaire, Silvia ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Rodriguez Donaire, Silvia; Universitat Oberta de Catalunya
Publication Year 2024
Rights CC BY-NC 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc/4.0
OpenAccess true
Contact Rodriguez Donaire, Silvia (Universitat Oberta de Catalunya)
Representation
Resource Type Aggregate data; Dataset
Format application/pdf; text/tab-separated-values; text/plain
Size 842828; 564696; 945224; 521442; 9992; 17771
Version 1.1
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Business and Management; Economics; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences