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Outputs (247)

Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation (2019)
Presentation / Conference Contribution

Predicting mental health from smartphone and social media data on a longitudinal basis has recently attracted great interest, with very promising results being reported across many studies. Such approaches have the potential to revolutionise mental h... Read More about Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation.

An intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System (2018)
Presentation / Conference Contribution

Adaptive Educational Hypermedia (AEH) offers more advanced personalisation and customisation features to the field of e-learning compared to the outdated static systems (where every learner is given the same set of learning materials). AEH can improv... Read More about An intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System.

Demographic Indicators Influencing Learning Activities in MOOCs: Learning Analytics of FutureLearn Courses (2018)
Presentation / Conference Contribution

Big data and analytics for educational information systems, despite having gained researchers’ attention, are still in their infancy and will take years to mature. Massive open online courses (MOOCs), which record learner-computer interactions, bring... Read More about Demographic Indicators Influencing Learning Activities in MOOCs: Learning Analytics of FutureLearn Courses.

Towards understanding learning behavior patterns in social adaptive personalized e-learning systems (2013)
Presentation / Conference Contribution

Implicit user modeling has always long since played an important role in supporting personalized web-based e-learning environments and is increasingly important in other learning environments such as serious games. Its main concern is to unobtrusivel... Read More about Towards understanding learning behavior patterns in social adaptive personalized e-learning systems.

Motivational gamification strategies rooted in self-determination theory for social adaptive E-Learning (2016)
Presentation / Conference Contribution

This study uses gamification as the carrier of understanding the motivational benefits of applying the Self-Determination Theory (SDT) in social adaptive e-learning, by proposing motivational gamification strategies rooted in SDT, as well as developi... Read More about Motivational gamification strategies rooted in self-determination theory for social adaptive E-Learning.

Connecting Targets to Tweets: Semantic Attention-based Model for Target-Specific stance Detection (2017)
Presentation / Conference Contribution

Understanding what people say and really mean in tweets is still a wide open research question. In particular, understanding the stance of a tweet, which is determined not only by its content, but also by the given target, is a very recent research a... Read More about Connecting Targets to Tweets: Semantic Attention-based Model for Target-Specific stance Detection.

Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum (2018)
Presentation / Conference Contribution

Modelling user voting intention in social media is an important research area, with applications in analysing electorate behaviour, online political campaigning and advertising. Previous approaches mainly focus on predicting national general election... Read More about Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum.

How is learning fluctuating? FutureLearn MOOCs fine-grained temporal Analysis and Feedback to Teachers (2018)
Presentation / Conference Contribution

Data-intensive analysis of massive open online courses (MOOCs) is popular. Researchers have been proposing various parameters conducive to analysis and prediction of student behaviour and outcomes in MOOCs, as well as different methods to analyse and... Read More about How is learning fluctuating? FutureLearn MOOCs fine-grained temporal Analysis and Feedback to Teachers.

Who likes me more? Analysing entity-centric language-specific bias in multilingual Wikipedia (2016)
Presentation / Conference Contribution

In this paper we take an important step towards better understanding the existence and extent of entity-centric language-specific bias in multilingual Wikipedia, and any deviation from its targeted neutral point of view. We propose a methodology usin... Read More about Who likes me more? Analysing entity-centric language-specific bias in multilingual Wikipedia.