Tieteellinen ajattelu yliopisto-opinnoissa : haastattelututkimus psykologian, teologian ja farmasian opiskelijoista

The aim of this dissertation is to explore the academic thinking and personal epistemology of university students. More specifically, the aim is to understand and promote students’ research and academic skills as a central goal of academic studies in the research-intensive university of Helsinki. Two of the four studies examine the personal epistemology of psychology students in different study phases, and the variation in personal epistemology among final-year psychology, theology and pharmacy students. Furthermore, personal epistemology was explored as a phenomenon among the student groups. In the fourth study the individual answers of the students interviewed are investigated in more detail. The main focus is on examining students’ beliefs about the nature of knowledge and knowledge acquisition as a representation of their personal epistemology. Study I presents a model which describes the main elements and aspects of teaching and learning in pharmacy education. Firstly, the meaning of quality of teaching and learning is explored. On the basis of this information, the study concentrates on the pedagogical implications of changing pharmacy teaching to improve the quality of learning. Study II describes the results of a cross-sectional study of psychology students participating in undergraduate and master’s level psychology programmes. The students (N = 53) were interviewed concerning their beliefs about knowledge and knowing, the aim being to explore students’ responses about thinking and reasoning. The results are analysed using content analysis to create categories of personal epistemology and comparisons among the students according to the phase of their studies. Study III examines interdisciplinary differences in final-year psychology, pharmacy and theology students’ (N = 52) academic thinking and personal epistemology. The aims of study IV are to examine and compare the consistency of personal epistemology profiles among university students (N = 87) representing three academic disciplines. The individual answers are examined and rated on a scale from absolutist to evaluativist thinking. On the basis of this data, three personal epistemology profiles are identified: a) absolutist profiles; b) relativistic profiles; and c) evaluativist profiles consisting of the subgroups entitled “limited” and “sophisticated”. The results of the studies clearly demonstrate that personal epistemology varies between students in different age groups, study phases, and disciplines. Three categories, including several subcategories, emerge to describe the personal epistemology of students. Furthermore, three personal epistemology profiles can be identified from the data. The comparison between students reveals interesting differences and similarities among student groups, and developmental trends of personal epistemology.

Knowledge through Discussion : An Interpretation of Epistemology in Plato's Meno

According to Meno s paradox we cannot inquire into what we do not know because we do not know what we are inquiring into. There are many ways to interpret the paradox but the central issue about our ability to reach truth is a profound one. In the dialogue Meno, Plato presents the paradox and an outline of a solution which enables us to reach knowledge (epistēmē) through philosophical discussion. During the last century Meno has often been considered transitional between Socratic thinking and Plato s own philosophy, and thus the dialogue has not been adequately interpreted as an integrated whole. Therefore the distinctive epistemology of the dialogue has not gained due notice. In this thesis the dialogue is analysed as an integrated whole and the philosophical interpretation also takes into account its dramatic features. The thesis emphasises the role of language and definitions in acquiring knowledge. Among the results concerning these subjects is a new interpretation of Socrates s defintion of shape (schēma). The theory of anamnēsis all learning is recollection in the Meno is argued to answer the paradox philosophically although Plato s presentation also contains playful and ironic elements. The background of the way Plato presents his case is that he appreciated the fact that no argument can plausibly demonstrate that argumentation is able to reach truth. In the Meno, Plato makes the earliest explicit distinction between knowledge and true belief in the history of Western philosophy. He also gives a definition of knowledge which is the basis of the so called classical definition of knowledge as justified true belief. In the Meno, true beliefs become knowledge when someone ties them down by reasoning about the explanation. The analysis of the epistemology of the dialogue from this perspective gives an interpretation which integrates the central concepts of the epistemology in the dialogue elenchos, anamnēsis and hypothetical inquiry into a unified whole which contains a plausible argument according to which the ignorant can reach knowledge through discussion. The conception that emerges by such an analysis is interesting both from the point of view of current interests and that of the history of philosophy. The method of knowledge acquisition in the Meno can, for example, be seen as a predecessor of modern scientific methods. The Meno is the earliest Greek mathematical text that has survived in its original form. The analysis presented in the thesis of the geometric passages in the dialogue provides new results both concerning Socrates s geometry lesson with the slave and the example presenting the hypothetical method. Concerning the latter, a new interpretation is presented. Keywords: anamnēsis, epistēmē, knowledge, Meno s paradox, Plato

Data fusion and matching by maximizing statistical dependencies

The core aim of machine learning is to make a computer program learn from the experience. Learning from data is usually defined as a task of learning regularities or patterns in data in order to extract useful information, or to learn the underlying concept. An important sub-field of machine learning is called multi-view learning where the task is to learn from multiple data sets or views describing the same underlying concept. A typical example of such scenario would be to study a biological concept using several biological measurements like gene expression, protein expression and metabolic profiles, or to classify web pages based on their content and the contents of their hyperlinks. In this thesis, novel problem formulations and methods for multi-view learning are presented. The contributions include a linear data fusion approach during exploratory data analysis, a new measure to evaluate different kinds of representations for textual data, and an extension of multi-view learning for novel scenarios where the correspondence of samples in the different views or data sets is not known in advance. In order to infer the one-to-one correspondence of samples between two views, a novel concept of multi-view matching is proposed. The matching algorithm is completely data-driven and is demonstrated in several applications such as matching of metabolites between humans and mice, and matching of sentences between documents in two languages.

Questions to Artificial Nature: A Philosophical Study of Interdisciplinary Models and their Functions in Scientific Practice

This thesis presents an interdisciplinary analysis of how models and simulations function in the production of scientific knowledge. The work is informed by three scholarly traditions: studies on models and simulations in philosophy of science, so-called micro-sociological laboratory studies within science and technology studies, and cultural-historical activity theory. Methodologically, I adopt a naturalist epistemology and combine philosophical analysis with a qualitative, empirical case study of infectious-disease modelling. This study has a dual perspective throughout the analysis: it specifies the modelling practices and examines the models as objects of research. The research questions addressed in this study are: 1) How are models constructed and what functions do they have in the production of scientific knowledge? 2) What is interdisciplinarity in model construction? 3) How do models become a general research tool and why is this process problematic? The core argument is that the mediating models as investigative instruments (cf. Morgan and Morrison 1999) take questions as a starting point, and hence their construction is intentionally guided. This argument applies the interrogative model of inquiry (e.g., Sintonen 2005; Hintikka 1981), which conceives of all knowledge acquisition as process of seeking answers to questions. The first question addresses simulation models as Artificial Nature, which is manipulated in order to answer questions that initiated the model building. This account develops further the "epistemology of simulation" (cf. Winsberg 2003) by showing the interrelatedness of researchers and their objects in the process of modelling. The second question clarifies why interdisciplinary research collaboration is demanding and difficult to maintain. The nature of the impediments to disciplinary interaction are examined by introducing the idea of object-oriented interdisciplinarity, which provides an analytical framework to study the changes in the degree of interdisciplinarity, the tools and research practices developed to support the collaboration, and the mode of collaboration in relation to the historically mutable object of research. As my interest is in the models as interdisciplinary objects, the third research problem seeks to answer my question of how we might characterise these objects, what is typical for them, and what kind of changes happen in the process of modelling. Here I examine the tension between specified, question-oriented models and more general models, and suggest that the specified models form a group of their own. I call these Tailor-made models, in opposition to the process of building a simulation platform that aims at generalisability and utility for health-policy. This tension also underlines the challenge of applying research results (or methods and tools) to discuss and solve problems in decision-making processes.

A Probabilistic Approach to the Primary Visual Cortex

What can the statistical structure of natural images teach us about the human brain? Even though the visual cortex is one of the most studied parts of the brain, surprisingly little is known about how exactly images are processed to leave us with a coherent percept of the world around us, so we can recognize a friend or drive on a crowded street without any effort. By constructing probabilistic models of natural images, the goal of this thesis is to understand the structure of the stimulus that is the raison d etre for the visual system. Following the hypothesis that the optimal processing has to be matched to the structure of that stimulus, we attempt to derive computational principles, features that the visual system should compute, and properties that cells in the visual system should have. Starting from machine learning techniques such as principal component analysis and independent component analysis we construct a variety of sta- tistical models to discover structure in natural images that can be linked to receptive field properties of neurons in primary visual cortex such as simple and complex cells. We show that by representing images with phase invariant, complex cell-like units, a better statistical description of the vi- sual environment is obtained than with linear simple cell units, and that complex cell pooling can be learned by estimating both layers of a two-layer model of natural images. We investigate how a simplified model of the processing in the retina, where adaptation and contrast normalization take place, is connected to the nat- ural stimulus statistics. Analyzing the effect that retinal gain control has on later cortical processing, we propose a novel method to perform gain control in a data-driven way. Finally we show how models like those pre- sented here can be extended to capture whole visual scenes rather than just small image patches. By using a Markov random field approach we can model images of arbitrary size, while still being able to estimate the model parameters from the data.

Kantoaalto koulutuksesta työyhteisön viestintäosaamiseen : lyhytkestoisen viestintäkoulutuksen vaikuttavuuden avaintekijät

The purpose of this research is to examine whether short-term communication training can have an impact on the improvement of communication capacity of working communities, and what are prerequisites for the creation of such capacity. Subjects of this research were short-term communication trainings aimed at the managerial and expert levels of enterprises and communities. The research endeavors to find out how communication trainings with an impact should be devised and implemented, and what this requires from the client and provider of the training service. The research data is mostly comprised of quantitative feed-back collected at the end of a training day, as well as delayed interviews. The evaluations have been based on a stakeholder approach, and those concerned were participants to the trainings, clients having commissioned the trainings and communication trainers. The principal method of the qualitative analysis is that of a data-driven content analysis. Two research instruments have been constructed for the analysis and for the presentation of the results: an evaluation circle for the purposes of a holistic evaluation and a development matrix for the structuring of an effective training. The core concept of the matrix is a carrier wave effect, which is needed to carry the abstractions from the training into concrete functions in the everyday life. The relevance of the results has been tested in a pilot organization. The immediate assessment and delayed evaluations gave a very differing picture of the trainings. The immediate feedback was of nearly commendable level, but the effects carried forward into the everyday situations of the working community were small and that the learning rarely was applied into practice. A training session that receives good feedback does not automatically result in the development of individual competence, let alone that of the community. The results show that even short-term communication training can promote communication competence that eventually changes the working culture on an organizational level, provided that the training is designed into a process and that the connections into the participants’ work are ensured. It is essential that all eight elements of the carrier wave effect are taken into account. The entire purchaser-provider -process must function while not omitting the contribution of the participants themselves. The research illustrates the so called bow tie -model of an effective communication training based on the carrier wave effect. Testing the results in pilot trainings showed that a rather small change in the training approach may have a signi¬ficant effect on the outcome of the training as well as those effects that are carried on into the working community. The evaluation circle proved to be a useful tool, which can be used while planning, executing and evaluating training in practice. The development matrix works as a tool for those producing the training service, those using the service as well as those deciding on the purchase of the service in planning and evaluating training that sustainably improves communication capacity. Thus the evaluation circle also works to support and ensure the long-term effects of short-term trainings. In addition to communication trainings, the tools developed for this research are useable for many such needs, where an organization is looking to improve its operations and profitability through training.

How to Succeed in Knowledge Transfer : Case Study of Scandinavian Alliance in Ukraine

The current study of Scandinavian multinational corporate subsidiaries in the rapidly growing Eastern European market, due to their particular organizational structure, attempts to gain some new insights into processes and potential benefits of knowledge and technology transfer. This study explores how to succeed in knowledge transfer and to become more competitive, driven by the need to improve transfer of systematic knowledge for the manufacture of product and service provisions in newly entered market. The scope of current research is exactly limited to multinational corporations, which are defined as enterprises comprising entities in two or more countries, regardless of legal forms and field of activity of those entities, and which operate under a system of decision-making permitting coherent policies and a common strategy through one or more decision-making centers. The entities are linked, by ownership, and able to exercise influence over the activities of the others; and, in particular, to share the knowledge, resources, and responsibilities with others. The research question is "How and to which extent can knowledge-transfer influence a company's technological competence and economic competitiveness?" and try to find out what particular forces and factors affect the development of subsidiary competencies; what factors influence the corporate integration and use of the subsidiary's competencies; and what may increase competitiveness of MNC pursuing leading position in entered market. The empirical part of the research was based on qualitative analyses of twenty interviews conducted among employees in Scandinavian MNC subsidiary units situated in Ukraine, using structured sequence of questions with open-ended answers. The data was investigated by comparison case analyses to literature framework. Findings indicate that a technological competence developed in one subsidiary will lead to an integration of that competence with other corporate units within the MNC. Success increasingly depends upon people's learning. The local economic area is crucial for understanding competition and industrial performance, as there seems to be a clear link between the performance of subsidiaries and the conditions prevailing in their environment. The linkage between competitive advantage and company's success is mutually dependent. Observation suggests that companies can be characterized as clusters of complementary activities such as R&D, administration, marketing, manufacturing and distribution. Study identifies barriers and obstacles in technology and knowledge transfer that is relevant for the subsidiaries' competence development. The accumulated experience can be implemented in new entered market with simple procedures, and at a low cost under specific circumstances, by cloning. The main goal is focused to support company prosperity, making more profits and sustaining an increased market share by improved product quality and/or reduced production cost of the subsidiaries through cloning approach. Keywords: multinational corporation; technology transfer; knowledge transfer; subsidiary competence; barriers and obstacles; competitive advantage; Eastern European market