Modelling Social Structures and Hierarchies in Language Evolution

Language evolution might have preferred certain prior social configurations over others. Experiments conducted with models of different social structures (varying subgroup interactions and the role of a dominant interlocutor) suggest that having isolated agent groups rather than an interconnected agent is more advantageous for the emergence of a social communication system. Distinctive groups that are closely connected by communication yield systems less like natural language than fully isolated groups inhabiting the same world. Furthermore, the addition of a dominant male who is asymmetrically favoured as a hearer, and equally likely to be a speaker has no positive influence on the disjoint groups.Comment: 14 pages, 3 figures, 1 table. In proceedings of AI-2010, The Thirtieth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, England, UK, 14-16 December 201

The perks and downsides of being a digital prosumer: optimistic and pessimistic approaches to digital prosumption

The recent evolution of users’ position and agency in digital environments absorbs the attention of several scholars in different fields of study. Users’ new ontological status as prosumers, simultaneously producers and consumers, and their role regarding productive paradigms has raised a lot of contrasting opinions. Different discursive techniques are employed to investigate production practices in digital worlds and are often crafted with the conventions of utopian and anti-utopian approaches. Nevertheless, the adoption of optimistic or pessimistic analytical and rhetorical strategies appears to be prejudiced towards the study of emerging online practices. In reality, the analysis of positive and negative approaches to productive paradigms in digital environments results in the detection of their limitations in reaching a comprehensive understanding of the investigated phenomena. Therefore, the adoption of a more neutral perspective is suggested, one that could potentially foster a holistic approach and therefore a broader and deeper comprehension of the analyzed phenomena

Analytics and complexity: learning and leading for the future

There is growing interest in the application of learning analytics to manage, inform and improve learning and teaching within higher education. In particular, learning analytics is seen as enabling data-driven decision making as universities are seeking to respond a range of significant challenges that are reshaping the higher education landscape. Experience over four years with a project exploring the use of learning analytics to improve learning and teaching at a particular university has, however, revealed a much more complex reality that potentially limits the value of some analytics-based strategies. This paper uses this experience with over 80,000 students across three learning management systems, combined with literature from complex adaptive systems and learning analytics to identify the source and nature of these limitations along with a suggested path forward