The increasing growth of mobile technology in our Society has become a reality. Outdoor
learning is one of the very revolutionary developments in modern ages without huge …

This study critically reviews the recently published scientific literature on the design and
impact of adaptive and intelligent systems for collaborative learning support (AICLS) …

In this paper, we take up the second RE17 data challenge: the identification of requirements
types using the" Quality attributes (NFR)" dataset provided. We studied how accurately we …

This paper presents a new method for sentiment analysis in Facebook that, starting from
messages written by users, supports:(i) to extract information about the users' sentiment …

This chapter presents an analysis of recommender systems in Technology-Enhanced
Learning along their 15 years existence (2000–2014). All recommender systems considered …

The increasing number of publications on recommender systems for Technology Enhanced
Learning (TEL) evidence a growing interest in their development and deployment. In order …

Over the last decade, several research initiatives have investigated the potentials of the
educational paradigm shift from the traditional one-size-fits-all teaching approaches to …

Adaptive applications may benefit from having models of usersʼ personality to adapt their
behavior accordingly. There is a wide variety of domains in which this can be useful, ie …

M-learning enables students to learn everywhere and at any time. But mobility also brings a
new challenge. Students may now be constantly moving and the context from which they …

We present the design, implementation, and preliminary evaluation of our Adaptive
Educational System (AES): the Mobile Integrated and Individualized Course (MIIC). MIIC is a …