Figure - uploaded by Nasrin Dehbozorgi
Content may be subject to copyright.
Source publication
Affective states, a dimension of attitude, have a critical role in the learning process. In the educational setting, affective states are commonly captured by self-report tools or based on sentiment analysis on asynchronous textual chats, discussions, or students’ journals.
Drawbacks of such tools include: distracting the learning process, demandin...
Context in source publication
Context 1
... p-values for both the intensity and frequency of positive sentiments are less than the confidence level (0.05), therefore the null hypothesis is rejected which confirms that there is a statistically significant correlation between intensity and frequency of positive sentiment and students' performance. The calculated two-tailed p-values are presented in Table 2. The next step in our analysis is classifying students' sentiments into multiple classes beyond positive, negative, and neutral to investigate which classes can be used as predictive metrics for performance as the target value. ...Citations
... The study contributes a novel approach for measuring large-scale online academic emotions, supporting further research on students' well-being in online learning environments. One of the applications of SER in the educational domain is the development of models that can predict students' performance earlier in the semester based on their expressed emotions in teamwork [14], [15], [8]. In [6] The authors propose an aspect-based approach to identify specific aspects of emotions in speech and examine their relationship with performance outcomes. ...
