An Experience on the Correlation Analysis Between Academic Marks and Emotions

Ruth Cobos, Francisco Jurado, Alvaro Ortigosa, Pilar Rodriguez


Observe appropriate evidence that pointing emotions plays an important role in the learning process. However, there is no precedent of a research analyzing the relationship between emotions and academic marks using text analysis. Thus, in this article, we show the experience we have performed in order to analyze the possible existing correlations between student marks, assigned by both their classmates and by their instructors, and the emotion traces that can be found in their writings. To that end, we gathered data corresponding to text contributions of a course on Computer Systems in our University and perform the correspondent analysis. The obtained results look to indicate that some kind of correlation exists between marks and emotions in both the highest and the lowest marks.


Computer Supported Collaborative Learning (CSCL); Affective Computing for Learning; e-Assessment

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Copyright (c) 2017 Ruth Cobos, Francisco Jurado, Alvaro Ortigosa, Pilar Rodriguez

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
Creative Commons License
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