Cognitive playfulness, creative capacity and generation 'C' learners

This paper draws on an ongoing doctoral study of student engagement with new digital media technologies in a formal schooling environment to demonstrate the importance of playfulness as a learning disposition. The study shows that cognitive playfulness mobilises productive engagement with learning innovations in the context of a traditional learning culture. Specifically, the paper discusses findings that emerge from a quantitative study into the level of student engagement with, and usage of, one chool's digital innovation in the form of a new Student Media Centre (SMC). The study analysed how different student learning dispositions influence the extent to which students engage with new digital technologies in the context of their otherwise traditional schooling. What emerges from the study is the interesting finding that cognitive playfulness, defined as 'the learner's dexterity and agility in terms of intellectual curiosity and imagination/creativity', is a key factor in predicting students' valuing of the opportunities that Web 2.0 open-source digital learning affords. In presenting an empirical validation of this finding, the paper contributes new knowledge to the problematic relationship between student-led digitally-enhanced learning and formal academic schooling

Digital or Diligent? Web 2.0's challenge to formal schooling

This paper explores the tensions that arise for young people as both 'digital kids' and 'diligent students'. It does so by drawing on a study conducted in an elite private school, where the tensions between 'going digital' and 'being diligent' are exacerbated by the high value the school places on academic achievement, and on learning through digital innovation. At the school under study, high levels of intellectual and technological resourcing bring with them an equally high level of expectation to excel in traditional academic tasks and high-stakes assessment. The students, under constant pressure to perform well in standardised tests, need to make decisions about the extent to which they take up school-sanctioned digitally enhanced learning opportunities that do not explicitly address academic performance. The paper examines this conundrum by investigating student preparedness to engage with a new learning innovation – a student-led media centre – in the context of the traditional pedagogical culture that is relatively untouched by such digital innovation. The paper presents an analysis of findings from a survey of 481 students in the school. The survey results were subjected to quantitative regression tree modelling to flesh out how different student learning dispositions, social and technological factors influence the extent to which students engage with a specific digital learning opportunity in the form of the Web 2.0 Student Media Centre (SMC) designed to engage the senior school community in flexible digital-networked learning. What emerges from the study is that peer support, perceived ease of use and usefulness, learning goals and cognitive playfulness are significant predictors of the choices that students make to negotiate the fundamental tensions of being digital and/or diligent. In scrutinising the tensions around a digital or a diligent student identity in this way, the paper contributes new empirical evidence to understanding the problematic relationship between student-led learning using new digital media tools and formal schooling

Knowledge Discovery in International Conflict Databases

Artificial Intelligence is heavily supported by military institutions, while practically no effort goes into the investigation of possible contributions of AI to the avoidance and termination of crises and wars. This paper makes a first step into this direction by investigating the use of machine learning techniques for discovering knowledge in international conflict and conflict management databases. We have applied similarity-based case retrieval to the KOSIMO database of international conflicts. Furthermore, we present results of analyzing the CONFMAN database of successful and unsuccessful conflict management attempts with an inductive decision tree learning algorithm. The latter approach seems to be particularly promising, as conflict management events apparently are more repetitive and thus better suited for machine-aided analysis