ANNEX I: This readme.txt file was generated on 06/02/2025 by María Consuelo Sáiz Manzanares GENERAL INFORMATION: 1. Dataset title: Dataset of the Project PID2020-117111RB-I00_GIR DATAHES_GIR ADMIRABLE. 2. Authorship: Name: María Consuelo Sáiz-Manzanares Institution: Departamento de ciencias de la salud, Universidad de Burgos. Email: mcsmanzanares@ubu.es ORCID: https://orcid.org/0000-0002-1736-2089 Name: Raúl Marticorena- Sánchez Institution: Departamento de ingeniería informática, Universidad de Burgos Email: rmartico@ubu.es ORCID: https://orcid.org/0000-0002-2633-635X Name: Javier Ochoa-Orihuel Institution: Departamento de ingeniería informática, Universidad de Burgos Email:joo0003@alu.ubu.es ORCID: https://orcid.org/0000-0002-1904-9854 Name: Laura Alonso- Martínez Institution: Departamento de ciencias de la salud, Universidad de Burgos Email: lamartinez@ubu.es ORCID: https://orcid.org/0000-0001-5425-5090 Name: Alberto Calvo Rodríguez Institution: Departamento de geografía, historia y comunicación, Universidad de Burgos Email:acrodriguez@ubu.es Name: Caroline Martin Institution: Departamento de Filología, Universidad de Burgos Email:caroline.martin@ubu.es ORCID: https://orcid.org/0009-0001-5115-4208 Name: Celia Carrillo Pérez Institution: Departamento de biotecnología y ciencias de los alimentos, Universidad de Burgos Email: ccarrillo@ubu.es ORCID: https://orcid.org/0000-0001-8199-9642 Name: María del Camino Escolar Llamazares Institution: Departamento de ciencias de la salud, Universidad de Burgos Email:cescolar@ubu.es ORCID: https://orcid.org/0000-0003-2448-0267 Name: Sandra Rodríguez Arribas Institution: Departamento de Ingeniería informática, Universidad de Burgos Email:srarribas@ubu.es ORCID: https://orcid.org/0000-0001-8845-5947 Name: Diego Serrano Gómez Institution: Departamento de ciencias de la salud, Universidad de Burgos Email:dserrano@ubu.es ORCID: https://orcid.org/0000-0003-4965-8869 Name: Luis Jorge Martín- Antón Institution: Departamento de psicología, Universidad de Valladolid Email:luisjorge.martin@uva.es ORCID: https://orcid.org/0000-0003-0534-960X Name: Irene González Díez Institution: Departamento de ciencias de la salud, Universidad de Burgos Email:igdiez@ubu.es ORCID: https://orcid.org/0000-0002-1481-7172 Name: Leandro Almeida Institution: Escola de psciologia, Universidade do Minho Email:leandro@psi.uminho.pt ORCID: https://orcid.org/0000-0002-0651-7014 Name: Miguel Ángel Carbonero Martín Institution: Departamento de psicología, Universidad de Valladolid Email:dserrano@ubu.es ORCID: https://orcid.org/0000-0003-4965-8869 Name: Carmen Varela Vázquez Institution: Departamento de ciencias de la salud, Universidad de Burgos Email:cvvazquez@ubu.es ORCID: https://orcid.org/0000-0002-3009-0348 Name: Javier Sáez-García Institution: Facultad de ingeniería , Universidad de Burgos Email:jsg1013@alu.ubu.es Name: Alfredo Jiménez Eguizábal Institution: Departamento de educación, Universidad de Burgos Email:ajea@ubu.es ORCID: https://orcid.org/0000-0001-8887-2652 Name: Rut Velasco Saiz Institution: Departamento de ciencias de la salud, Universidad de Burgos Email: rvx1008@alu.ubu.es ORCID: hhttps://orcid.org/0000-0002-5910-4133 DESCRIPTION ----------- 1. Dataset language: English 2. Summary: This dataset contains the data generated during the execution of the project ““Asistentes de voz e inteligencia artificial en Moodle: un camino hacia una universidad inteligente” -SmartLearnUni-”, code PID2020-117111RB-I00, corresponding to the 2021 Call of “Convocatoria 2020 Proyectos de I+D+i - RTI Tipo B. Ministerio de Ciencia e Innovación y Universidades. Agencia Estatal de Investigación. Gobierno de España para el período 2021-2024". 3. Keywords: advanced learning technologies; LMS; machine learning; self-regulated learning; Curriculum; Humans; Problem-Based Learning; Students; behavioral structure; similarity; systematic review; THEME, T-Pattern; T-String; T-System; satisfaction; nursing students; virtual labs; flipped learning; mixed methods; Chatbot; Prior knowledge; Metacognitive strategies; Higher education; Effective learning; cognitive load; eye tracking; effective learning; Neuro-education, learning patterns; personalized learning; cluster analysis; educational technology; Biometrics; neurophysiological measurements; integrated multichannel records; higher education; learning; educational technologies; neuroengineering; monitoring; learning; galvanic skin response; data fusion sensor technologies; collaborative group; behavioural monitoring; learning process; data processing; serious games; learning monitoring; branching scenario 4. Date of data collection: 2021-2025 5. Date of dataset publication: 06/02/2025 6. Funding: The research work conducted within the framework of the REWIND project (PID2020-117111RB-I00), which was funded by the Ministry of Science and Innovation of the Government of Spain (Ministerio de Ciencia e Innovación del Gobierno de España), the State Research Agency (Agencia Estatal de Investigación, AEI), through the 2020 Call of " Proyectos de I+D+i - RTI Tipo B para el período 01/01/2021 28/02/2025". 7. Geographical location of data collection: Burgos (Spain) ACCESS INFORMATION ------------------ 1. Creative Commons license of the dataset: CC 4.0 International 2. Related publications: The related publications are those in which the SAMARTLEANUNI project code, PID2020-117111RB-I00, is included in the acknowledgements. All these publications are accessible through the Repositorio Institucional de la Universidad de Burgos (RIUBU) by searching through the name of the authors and authors of this dataset. Article 1. https://doi.org/10.3390/electronics10212620. Repositorio Institucional UBU https://riubu.ubu.es/handle/10259/7345 Article 2. https://doi.org/10.3791/63601. Repositorio Institucional UBU https://riubu.ubu.es/handle/10259/9837 Article 3. https://doi.org/10.3389/fpsyg.2022.943907 Repositorio Institucional UBU https://riubu.ubu.es/handle/10259/7331 Article 4. https://doi.org/10.3390/su142316074 Repositorio Institucional UBU https://riubu.ubu.es/handle/10259/7567 Article 5. https://doi.org/10.1016/j.heliyon.2023.e12843 Repositorio Institucional UBU https://riubu.ubu.es/handle/10259/7753 Article 6. https://doi.org/10.1080/10447318.2023.2188532 Repositorio Institucional UBU https://riubu.ubu.es/handle/10259/7755 Article 7. https://doi.org/10.3916/C76-2023-03 Repositorio Institucional UBU https://riubu.ubu.es/handle/10259/7756 Article 8. https://doi.org/10.3390/computers13040096 Repositorio Institucional UBU Article 9. https://doi.org/10.3390/app14167017 Repositorio Institucional UBU Article 10. https://doi.org/10.3390/app14219831 Repositorio Institucional UBU Article 11. https://doi.org/10.3390/educsci14111205 Repositorio Institucional UBU Article 12. https://doi.org/10.3390/computers13110289 Repositorio Institucional UBU Article 13. https://doi.org/10.3390/info15120804 Repositorio Institucional UBU METHODOLOGICAL INFORMATION -------------------------- The files included in the dataset are a compendium of all the data collected during the execution of the research work carried out during the development of the SAMARTLEANUNI project, with code PID2020-117111RB-I00. The raw files are provided in ods format, available through RIUBU by performing a search by authorship considering the names of the authors of this dataset. LIST OF FILES Dataset PID2020-117111RB-I00 Project Brief description: Each file is an .ods Except for article 3, which is a systematic review and does not apply an empirical database.