Analysing knowledge building: usages, achievements and limits of forums at university

This paper aims to explore asynchronous communication in computer supported collaborative learning (CSCL). Thirty virtual forums are analysed in both a quantitative and a qualitative way. Quantitatively, the number of messages written, message threads and original and answer messages are counted. Qualitatively, the content of the notes is analysed, cataloguing these into two different levels: on the one hand, as a set of knowledge building process categories, and on the other hand, following the scaffolds that Knowledge Forum offers. The results show that both an exchange of information and a collaborative work take place. Nevertheless, the construction of knowledge is superficial.

Fostering Collaborative Knowledge Building by the Effective Provision of Knowledge about the Discussion Process

Peer-reviewed

On the institution of the moral subject: on the commander and the commanded in Nietzsche's discussion of law

The article discusses how Nietzsche understands the institution of law and morals in distinction to Kant and the Christian tradition. It argues that Nietzsche to a large extent is inspired by the paradigm-shift toward a evolutionary biological thinking introduced by several of his peers in the late 19th century, among else F. A. Lange, who sees this shift as a sobering scientific-materialistic alternative to Kant. In Nietzsche, the Kantian moral imperative is replaced with a notion of a morality emerging thanks to historical, or pre-historical, civilizational processes, imposed on a feebleminded human without any inherent rational dispositions to obey Law. It is also a process, which rather than universalizing the human, splits it in a duality where one part obeys old immediate self-interests and another part obeys new 'commands,' having been shouted 'into the ear' by a so-called 'commander.' The compliance with law takes two radically different forms in Nietzsche: servile and mediocre individuals need to be exposed to discipline and punishment in order to adopt Law; while so-called 'sovereign' individuals are able to impose law upon themselves. The figure of the 'sovereign' has consequently been an issue for vigorous debate in especially the Anglo-Saxon tradition of Nietzsche research, since his apparent 'respect for law' and 'sense of duty' reiterate typical Kantian qualities. Relating to these discussions, I suggest that Nietzsche's 'sovereign' (in one context) is identical his 'commander' (in other contexts). When the 'sovereign' as such imposes law upon himself and others, his act is conventional and arbitrary (like language in Saussure), and is rather irrational than rational as in Kant. His will is not a good will, nor a rational will with a vision of human autonomy. His command of himself and others is a performative, thus without truth-value (like illocutionary speech-acts in Austin and Searle).

The role of collective intelligence in crowdsourcing innovation

Social insects are known for their ability to display swarm intelligence, where the cognitive capabilities of the collective surpass those of the individuals forming it by orders of magnitude. The rise of crowdsourcing in recent years has sparked speculation as to whether something similar might be taking place on crowdsourcing sites, where hundreds or thousands of people interact with each other. The phenomenon has been dubbed collective intelligence. This thesis focuses on exploring the role of collective intelligence in crowdsourcing innovations. The task is approached through three research questions: 1) what is collective intelligence; 2) how is collective intelligence manifested in websites involved in crowdsourcing innovation; and 3) how important is collective intelligence for the functioning of the crowdsourcing sites. After developing a theoretical framework for collective intelligence, a multiple case study is conducted using an ethnographic data collection approach for the most part. A variety of qualitative, quantitative and simulation modelling methods are used to analyse the complex phenomenon from several theoretical viewpoints or ‘lenses’. Two possible manifestations of collective intelligence are identified: discussion, typical of web forums; and the wisdom of crowds in evaluating crowd submissions to websites. However, neither of these appears to be specific to crowdsourcing or critical for the functioning of the sites. Collective intelligence appears to play only a minor role in the cases investigated here. In addition, this thesis shows that feedback loops, which are found in all the cases investigated, reduce the accuracy of the crowd’s evaluations when a count of votes is used for aggregation.

How Is Credit Risk Estimated? Discussion and Evidence based on Cross-Industry Sample Utilizing the KMV Model

The purpose of this thesis is to focus on credit risk estimation. Different credit risk estimation methods and characteristics of credit risk are discussed. The study is twofold, including an interview of a credit risk specialist and a quantitative section. Quantitative section applies the KMV model to estimate credit risk of 12 sample companies from three different industries: automobile, banking and financial sector and technology. Timeframe of the estimation is one year. On the basis of the KMV model and the interview, implications for analysis of credit risk are discussed. The KMV model yields consistent results with the existing credit ratings. However, banking and financial sector requires calibration of the model due to high leverage of the industry. Credit risk is considerably driven by leverage, value and volatility of assets. Credit risk models produce useful information on credit worthiness of a business. Yet, quantitative models often require qualitative support in the decision-making situation.