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In this paper, we propose designing a specific ontology for representing relevant aspects of affective phenomena in e-learning. The ontology is aimed to include the different types of emotions, moods and behaviors that students experience in the e-learning environments, the different types of feedback that teachers can provide to their students and the different effects in students' behavior during...
This paper describes an innovative e-Learning project proposal, named MeToo, aiming to enhance existing e-learning platforms by developing tools and services which support the detection and representation of learners' emotions, as well as emotion-based learning adaptation and affective feedback. To this end, MeToo applies novel emotion detection models to rich multimodal data collected using state...
Assessment is an important part of the learning process. The instructor should be able to evaluate whether a learner has acquired the knowledge and competences provided in the course. Moreover, assessment activities also help a learner to check his level of expertise. Typically, the assessment model and assessment activities of subjects in official programmes are the same for all the learners, since...
Both information and communication technologies and computer-supported collaborative learning have been widely adopted in many educational institutions. Likewise, general e-assessment processes offer enormous opportunities to enhance student's learning experience. In this context, e-Learning stakeholders are increasingly demanding new requirements and, among them, information security in e-Learning...
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