E-Learning plays a vital role in the field of education. Emotional Quotient (EQ) is one of the human factors. Similarly Recollection and Retention (R & R) is one of the cognitive factors of E-Learning process. The various parameters that constitute EQ are helpful in imparting higher education. The objective of this paper is to find the relationship between EQ and R & R factors in E-Learning Env...

A learning system adaptive to learner’s behavior is considered as an innovative system. The more a learning system exchanges relevant fragments of information about the learner’s affective status the more it adapts to it. Following this direction, we propose an integrated learning system taking under consideration learners’ emotional state in order to provide a personalized elearning system. An...

As global health curricula and competencies are defined, the instructional foundation of practice-based learning and soft skills training requires reexamination. This paper explores the integration of social-emotional instruction into global health education, specifically highlighting its role in interprofessional learning environments. One method to teach the core competencies in the higher ed...

Age-related deficits are seen across tasks where learning depends on asocial feedback processing, however plasticity has been observed in some of the same tasks in social contexts suggesting a novel way to attenuate deficits. Socioemotional selectivity theory suggests this plasticity is due to a deliberative motivational shift toward achieving well-being with age (positivity effect) that revers...

Social and emotional learning (SEL) has predominantly been conceptu-alised as a neurological process, which has precluded understanding of how social, cultural and material discourses inform the expression of emotional experiences. Gender remains a notable omission. This article explores the micro-practices through which gender structures the development of young people's emotional subjectiviti...

Age-related deficits are seen across tasks where learning depends on asocial feedback processing, however plasticity has been observed in some of the same tasks in social contexts suggesting a novel way to attenuate deficits. Socioemotional selectivity theory suggests this plasticity is due to a deliberative motivational shift toward achieving wellbeing with age (positivity effect) that reverse...

We present a novel way to design a control system for a robot, using emotions as a way to produce richer internal states. We believe that using a single scalar as an evaluation of the quality of the policy and stating that the goal of the agent is to gather reward, as it is proposed by reinforcement learning, is not an appropriate granularity for creating an autonomous control system : even wit...

In this paper, an architecture based on the anatomical structure of the emotional network in the brain of mammalians is applied as a prediction model for chaotic time series studies. The architecture is called Brain Emotional Learning-based Recurrent Fuzzy System (BELRFS), which stands for: Brain Emotional Learning-based Recurrent Fuzzy System. It adopts neuro-fuzzy adaptive networks to mimic t...

In order to promote a more dynamic and flexible communication between the learner and the system, we integrate five kinds of adaptive agents in emotional framework. We focus on human facial characteristics to develop general-purpose agents that can recognize human emotion and create emotional framework with the implications of peer-to-peer technology. Emotions play an important role in cognitiv...