Abstract:Abstract. Recent works in Computer Science, Neurosciences, Education, and Psychology have shown that emotions play an important role in learning. Learner's cognitive ability depends on his emotions. We will point out the role of emotions in learning, distinguishing the different types and models of emotions which have been considered until now. We will address an important issue concerning the different means to detect emotions and introduce recent approaches to measure brain activity using Electroencephalogra… Show more
“…It shows three emotion types (Happiness/Satisfaction, Shame, and Anger) that appear as the conversation evolves through exchange types (such as ascertain-information, elicit-information and giveinformation) produced by the participants. As we can also observe in these examples, emotion and cognition are closely linked (Frasson & Chalfoun, 2010).…”
Section: Emotion Awarenessmentioning
confidence: 89%
“…They are experienced in various situations and serve a variety of functions in the academic environment including promoting or undermining behavioral and cognitive engagement, self-regulation of learning activities and achievement (Linnenbrink-Garcia & Pekrun, 2011). Learning involves three particular cognitive processes, attention, memory and reasoning; with respect to each of them, students' cognitive ability depends on their emotions (Frasson & Chalfoun, 2010). According to them, emotions can be used in the learning context to increase students' attention as well as to improve memory and reasoning.…”
Emotional learning involves the acquisition of skills to recognize and manage emotions, develop care and concern for others, make responsible decisions, establish positive relationships, and handle challenging situations effectively. Time is an important variable in learning context and especially in the analysis of teaching-learning processes that take place in collaborative learning, whereas time management is crucial for effective learning. The aim of this work has been to analyze the effects of emotion management on time and self-management in e-learning and identify the competencies in time and self-management that are mostly influenced when students strive to achieve effective learning. To this end, we run an experiment with a class of high school students, which showed that increasing their ability to manage emotions better and more effectively enhances their competency to manage the time allocated to the learning practice more productively, and consequently their learning performance in terms of behavioral engagement and achievement and partly, in terms of cognitive engagement and self-regulation. Teacher affective feedback was proved to be a crucial factor to enhance cognitive engagement.Peer ReviewedPostprint (author's final draft
“…It shows three emotion types (Happiness/Satisfaction, Shame, and Anger) that appear as the conversation evolves through exchange types (such as ascertain-information, elicit-information and giveinformation) produced by the participants. As we can also observe in these examples, emotion and cognition are closely linked (Frasson & Chalfoun, 2010).…”
Section: Emotion Awarenessmentioning
confidence: 89%
“…They are experienced in various situations and serve a variety of functions in the academic environment including promoting or undermining behavioral and cognitive engagement, self-regulation of learning activities and achievement (Linnenbrink-Garcia & Pekrun, 2011). Learning involves three particular cognitive processes, attention, memory and reasoning; with respect to each of them, students' cognitive ability depends on their emotions (Frasson & Chalfoun, 2010). According to them, emotions can be used in the learning context to increase students' attention as well as to improve memory and reasoning.…”
Emotional learning involves the acquisition of skills to recognize and manage emotions, develop care and concern for others, make responsible decisions, establish positive relationships, and handle challenging situations effectively. Time is an important variable in learning context and especially in the analysis of teaching-learning processes that take place in collaborative learning, whereas time management is crucial for effective learning. The aim of this work has been to analyze the effects of emotion management on time and self-management in e-learning and identify the competencies in time and self-management that are mostly influenced when students strive to achieve effective learning. To this end, we run an experiment with a class of high school students, which showed that increasing their ability to manage emotions better and more effectively enhances their competency to manage the time allocated to the learning practice more productively, and consequently their learning performance in terms of behavioral engagement and achievement and partly, in terms of cognitive engagement and self-regulation. Teacher affective feedback was proved to be a crucial factor to enhance cognitive engagement.Peer ReviewedPostprint (author's final draft
“…In [23] the researchers attempt to dive deeper into the affective state of the learner by gathering, in their own words, the definition of what they mean by "engagement in courses" and "What makes a course engaging to you?" The learners in this study were male and female freshman and sophomores in engineering, and the researchers were able to group the responses into categories, as well as give specific wording terms that the students used.…”
This paper presents a novel method which uses EEG as an input to an automated system that measures a participant's attentiveness while watching a short training video. This paper provides the results of a pilot study, including a structured comparison of signal processing and machine learning methods to find optimal solutions which can be extended to other applications.
“…Studies have shown that emotional experiences influence student's motivation, learning strategies and achievement whereas such emotional experiences are influenced by personality and classroom characteristics (Frasson & Chalfoun 2010;Goetz et al 2006). …”
Aquesta és una còpia de la versió author's final draft d'un article publicat a la revista Soft computing.La publicació final està disponible a Springer a través de http://dx.doi.org/10.1007/s00500-016-2399-0 This is a copy of the author 's final draft version of an article published in the journal Soft computing.The final publication is available at Springer via http://dx.doi.org/10.1007/s00500-016-2399-0
Article publicat / Published article:Arguedas, M. [et al.] (2016) A model for providing emotion awareness and feedback using fuzzy logic in online learning. " Soft computing". Doi: 10.1007/s00500-016-2399-0 Abstract: Monitoring users' emotive states and using that information for providing feedback and scaffolding is crucial. In the learning context, emotions can be used to increase students' attention as well as to improve memory and reasoning. In this context, tutors should be prepared to create affective learning situations and encourage collaborative knowledge construction as well as identify those students' feelings which hinder learning process. In this paper, we propose a novel approach to label affective behavior in educational discourse based on fuzzy logic, which enables a human or virtual tutor to capture students' emotions, make students aware of their own emotions, assess these emotions and provide appropriate affective feedback. To that end, we propose a fuzzy classifier that provides a priori qualitative assessment and fuzzy qualifiers bound to the amounts such as few, regular, and many assigned by an affective dictionary to every word. The advantage of the statistical approach is to reduce the classical pollution problem of training and analyzing the scenario using the same dataset. Our approach has been tested in a real online learning environment and proved to have a very positive influence on students' learning performance.
Section/Category: Methodologies & Application
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A MODEL FOR PROVIDING EMOTION AWARENESS AND FEEDBACK USING FUZZY LOGIC IN ONLINE LEARNINGAbstract Monitoring users' emotive states and using that information for providing feedback and scaffolding is crucial. In the learning context, emotions can be used to increase students' attention as well as to improve memory and reasoning. In this context, tutors should be prepared to create affective learning situations and encourage collaborative knowledge construction as well as identify those students' feelings which hinder learning process. In this paper, we propose a novel approach to label affective behavior in educational discourse based on fuzzy logic, which enables a human or virtual tutor to capture students' emotions, make students aware of their own emotions, assess these emotions and provide appropriate affective feedback. To that end, we propose a fuzzy classifier that provides a priori qualitative assessment and fuzzy qualifiers bound to the amounts such as few, regular, and many assigned by an affective dictionary to every word. The advan...
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