The OnCreate project was initiated by ten universities with expertise in collaborative work in online-based learning environments and explores the specific challenges of implementing university courses in creative disciplines in such an environment. The first research phase comprises a literature search on creativity and Educ Inf Technol its contextual factors in online collaboration in an educational setting. From this research a first set of possible key challenges and contextual key factors has been selected and applied to categorize the results of interviews and surveys on current good practice in creative online collaboration among experienced online teachers from the partner universities. From the key findings we formulate hypotheses to guide future research towards a framework for creative online collaboration. At the same time, the results can serve as inspiration for the educational practice. Notable observations of the good practice research among the partner universities are that they realise innovative collaboration concepts usually on mashed-up environments of state-of-the-art web services rather than on the omnipresent learning management systems (such as Moodle or Blackboard). Also, they show a paradigm shift from teaching to coaching and promotion of an open peer-review culture among the students.

No abstract

Purpose The purpose of this paper is to introduce and define Cognitive Big Data as a concept. Furthermore, it investigates what is really “new” in Big Data, as it seems to be a hyped-up concept that has emerged during recent years. The purpose is also to broaden the discussion around Big Data far beyond the common 4V (velocity, volume, veracity and variety) model. Design/methodology/approach The authors established an expert think tank to discuss the notion of Big Data, identify new characteristics and re-think what really is new in the idea of Big Data, by analyzing over 60 literature resources. They identified typical baseline scenarios (traffic, business processes, retail, health and social media) as a starting point from which they explored the notion of Big Data from different perspectives. Findings They concluded that the idea of Big Data is simply not new and recognized the need to re-think a new approach toward Big Data. The authors also introduced a five-Trait Framework for “Cognitive Big Data”, socio-technical system, data space, data richness, knowledge management (KM)/decision-making and visualization/sensory presentation. Research limitations/implications The viewpoint is centered on cognitive processes as KM process. Practical implications Data need to be made available in an understandable form for the right application context and in the right portion size that it can be turned into knowledge and eventually wisdom. The authors need to know about data that can be ignored, data that they are not aware of (dark data) and data that can be fully utilized for analysis (light data). In the foreground is the extension of human mental capabilities and data understandability. Social implications Cognitive Big Data implies a socio-technological knowledge system. Originality/value Introduction of cognitive Big Data as concept and framework.

No abstract

No abstract