Social media is a platform that makes it easier for users to interact and get know each other because in social there are profiles, statuses, user uploads. Therefore, many studies utilize much information can be explored on media, one of which research the personality classification users. However, related have failed due too model target classes, result low accuracy. In this research, author u...

The capability of estimating emotions is an important feature needed for intelligent systems to interact with humans. . In this paper, we propose a computational model to calculate a user’s desirability as one of the most important emotions, especially in Intelligent Tutoring Systems (ITS). The main purpose of this research is to find a relationship between personality and desirability in virtu...

Effects of personality profiles and human factors in software engineering (SE) have been studied from different perspectives, such as: software life cycle, team performance, software quality attributes, and so on. This study intends to compare personality profiles of software engineers in academia and industry. In this survey we have collected personality profiles of software engineers from aca...

Studies related to human aspects in software engineering (SE) have been performed from different perspectives. These perspectives include the study of human factors in different phases of software life cycle, effect of team performance in software development, how can a personality trait suit a particular task, and about some other miscellaneous issues. This research work aims to establish pers...

This article describes a data driven method for deriving the relationship between personality and media preferences. A qunatifiable representation of such a relationship can be leveraged for use in recommendation systems and ameliorate the “cold start” problem. Here, the data is comprised of an original collection of 1,316 Okcupid dating profiles. Of these profiles, 800 are labeled with one of ...

In collaborative learning contexts, the problem of automatically forming effective learning groups gets considerably complex with larger class sizes, e.g. in MOOCs. Additionally, group dynamics caused by high dropout rates currently observable on online open course platforms poses challenges to learning group formation strategies. To address these problems, this paper presents PSO-based algorit...

Nowadays, most of the existing e-learning architecture provides the same content to all learners due to ”one size fits for all” concept. E-learning refers to the utilization of electronic innovations to convey and encourage training anytime and anywhere. There is a need to create a personalized environment that involves collecting a range of information about each learner. Questionnaires are on...