NPFC-Test: A Multimodal Dataset from an Interactive Digital Assessment Using Wearables and Self-Reports
The growing implementation of digital platforms and mobile devices in educational environments has generated the need to explore new approaches for evaluating the learning experience beyond traditional self-reports or instructor presence. In this context, the NPFC-Test dataset was created from an ex...
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MDPI AG
2025-06-01
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| author | Luis Fernando Morán-Mirabal Luis Eduardo Güemes-Frese Mariana Favarony-Avila Sergio Noé Torres-Rodríguez Jessica Alejandra Ruiz-Ramirez |
| author_facet | Luis Fernando Morán-Mirabal Luis Eduardo Güemes-Frese Mariana Favarony-Avila Sergio Noé Torres-Rodríguez Jessica Alejandra Ruiz-Ramirez |
| author_sort | Luis Fernando Morán-Mirabal |
| collection | DOAJ |
| description | The growing implementation of digital platforms and mobile devices in educational environments has generated the need to explore new approaches for evaluating the learning experience beyond traditional self-reports or instructor presence. In this context, the NPFC-Test dataset was created from an experimental protocol conducted at the Experiential Classroom of the Institute for the Future of Education. The dataset was built by collecting multimodal indicators such as neuronal, physiological, and facial data using a portable EEG headband, a medical-grade biometric bracelet, a high-resolution depth camera, and self-report questionnaires. The participants were exposed to a digital test lasting 20 min, composed of audiovisual stimuli and cognitive challenges, during which synchronized data from all devices were gathered. The dataset includes timestamped records related to emotional valence, arousal, and concentration, offering a valuable resource for multimodal learning analytics (MMLA). The recorded data were processed through calibration procedures, temporal alignment techniques, and emotion recognition models. It is expected that the NPFC-Test dataset will support future studies in human–computer interaction and educational data science by providing structured evidence to analyze cognitive and emotional states in learning processes. In addition, it offers a replicable framework for capturing synchronized biometric and behavioral data in controlled academic settings. |
| format | Article |
| id | doaj-art-2fff86371d004e3494d79f18dd1046d5 |
| institution | Kabale University |
| issn | 2306-5729 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
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| series | Data |
| spelling | doaj-art-2fff86371d004e3494d79f18dd1046d52025-08-20T03:36:11ZengMDPI AGData2306-57292025-06-0110710310.3390/data10070103NPFC-Test: A Multimodal Dataset from an Interactive Digital Assessment Using Wearables and Self-ReportsLuis Fernando Morán-Mirabal0Luis Eduardo Güemes-Frese1Mariana Favarony-Avila2Sergio Noé Torres-Rodríguez3Jessica Alejandra Ruiz-Ramirez4Tecnologico de Monterrey, Institute for the Future of Education, Av. Eugenio Garza Sada 2501 Sur, Tecnológico, Monterrey 64700, MexicoTecnologico de Monterrey, Institute for the Future of Education, Av. Eugenio Garza Sada 2501 Sur, Tecnológico, Monterrey 64700, MexicoTecnologico de Monterrey, Institute for the Future of Education, Av. Eugenio Garza Sada 2501 Sur, Tecnológico, Monterrey 64700, MexicoTecnologico de Monterrey, Institute for the Future of Education, Av. Eugenio Garza Sada 2501 Sur, Tecnológico, Monterrey 64700, MexicoTecnologico de Monterrey, Institute for the Future of Education, Av. Eugenio Garza Sada 2501 Sur, Tecnológico, Monterrey 64700, MexicoThe growing implementation of digital platforms and mobile devices in educational environments has generated the need to explore new approaches for evaluating the learning experience beyond traditional self-reports or instructor presence. In this context, the NPFC-Test dataset was created from an experimental protocol conducted at the Experiential Classroom of the Institute for the Future of Education. The dataset was built by collecting multimodal indicators such as neuronal, physiological, and facial data using a portable EEG headband, a medical-grade biometric bracelet, a high-resolution depth camera, and self-report questionnaires. The participants were exposed to a digital test lasting 20 min, composed of audiovisual stimuli and cognitive challenges, during which synchronized data from all devices were gathered. The dataset includes timestamped records related to emotional valence, arousal, and concentration, offering a valuable resource for multimodal learning analytics (MMLA). The recorded data were processed through calibration procedures, temporal alignment techniques, and emotion recognition models. It is expected that the NPFC-Test dataset will support future studies in human–computer interaction and educational data science by providing structured evidence to analyze cognitive and emotional states in learning processes. In addition, it offers a replicable framework for capturing synchronized biometric and behavioral data in controlled academic settings.https://www.mdpi.com/2306-5729/10/7/103multimodal learning analyticshuman–computer interactionfacial codingemotionsEEGdigital biomarkers |
| spellingShingle | Luis Fernando Morán-Mirabal Luis Eduardo Güemes-Frese Mariana Favarony-Avila Sergio Noé Torres-Rodríguez Jessica Alejandra Ruiz-Ramirez NPFC-Test: A Multimodal Dataset from an Interactive Digital Assessment Using Wearables and Self-Reports Data multimodal learning analytics human–computer interaction facial coding emotions EEG digital biomarkers |
| title | NPFC-Test: A Multimodal Dataset from an Interactive Digital Assessment Using Wearables and Self-Reports |
| title_full | NPFC-Test: A Multimodal Dataset from an Interactive Digital Assessment Using Wearables and Self-Reports |
| title_fullStr | NPFC-Test: A Multimodal Dataset from an Interactive Digital Assessment Using Wearables and Self-Reports |
| title_full_unstemmed | NPFC-Test: A Multimodal Dataset from an Interactive Digital Assessment Using Wearables and Self-Reports |
| title_short | NPFC-Test: A Multimodal Dataset from an Interactive Digital Assessment Using Wearables and Self-Reports |
| title_sort | npfc test a multimodal dataset from an interactive digital assessment using wearables and self reports |
| topic | multimodal learning analytics human–computer interaction facial coding emotions EEG digital biomarkers |
| url | https://www.mdpi.com/2306-5729/10/7/103 |
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