David Gañán

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Despite their demonstrated potential through a range of early studies, on-line collaborative learning systems do not yet have the impact that many believe is possible. In particular, collaborative learning approaches cannot be readily applied to every e-learning experience, since they require a degree of presence and/or collaboration which may be difficult(More)
Many researchers argue that students must be meaningfully engaged in the learning resources for effective learning to occur. However, current online learners still report a problematic lack of attractive and challenging learning resources that engage them in the learning process. This endemic problem is even more evident in online collaborative learning(More)
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Collaborative and social learning assessment requires a broad perspective about learning and the involved processes. Assessment processes have a significant effect on CSCL because they engage learners through accountability and constructive feedback. However, in order to design a coherent and efficient assessment system for collaborative and social learning(More)
This paper proposes the provision of software infrastructure to support new types of pedagogically augmented collaborative learning resources by means of an innovative software platform called Virtualized Collaborative Sessions (VCS). The VCS approach helps meet challenging pedagogical requirements in online collaborative learning, such as increasing(More)
This paper presents a first step into the construction of an innovative web-based eLearning platform featuring Learning Analytics and Gamification called ICTFLAG. The main goal and key decision at this initial stage of the platform development is the search and selection processes of the most suitable software development framework to guide and support the(More)
Endowing learning systems with emotion awareness features (capture user's affective state and provide affective feedback), seems quite promising. This paper describes a system implementation that provides emotion awareness, both explicitly, by self-reporting of emotions through a usable web tool, and implicitly, via sentiment analysis. Prominent theories,(More)