| dc.creator | Puraivan, Eduardo | |
| dc.creator | León, Marcelo | |
| dc.creator | Beltran, Jarnishs | |
| dc.creator | Riquelme, Fabián | |
| dc.date | 2022-10-12T18:19:42Z | |
| dc.date | 2022-10-12T18:19:42Z | |
| dc.date | 2021 | |
| dc.date.accessioned | 2023-08-25T20:01:44Z | |
| dc.date.available | 2023-08-25T20:01:44Z | |
| dc.identifier | 2166-0727 | |
| dc.identifier | 10.23919/CISTI52073.2021.9476312 | |
| dc.identifier | https://hdl.handle.net/20.500.12536/1839 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8437685 | |
| dc.description | Student stress is a problem that hinders the teaching-learning
processes, and that has increased considerably since the
beginning of the Covid-19 pandemic. This article introduces a
framework for the development of an emotion-based decision
support tool for learning processes. As a case study, we consider
undergraduate students starting their academic year virtually in
the context of a pandemic. Through the application of the
PANAS questionnaire and NLP techniques on free-text
responses, students' emotions are automatically classified as
positive and negative, as well as a level of basic emotions of the
Plutchik model. The results allow to identify the most frequent
sentiments in students. Also, they show concordances between
both measurement instruments and a high capacity for the
classification of emotions. | |
| dc.format | application/pdf | |
| dc.language | en | |
| dc.source | 16th Iberian Conference on Information Systems and Technologies (CISTI) | |
| dc.subject | E-learning | |
| dc.subject | Sentiment analysis | |
| dc.subject | PANAS | |
| dc.subject | Covid-19 | |
| dc.subject | Decision support tool | |
| dc.title | Emotion-based decision support tool for learning processes | |
| dc.type | Artículo de revista | |
