Det planlagda och det som visar sig : klasslärarstuderandes syn på undervisning i teknisk slöjd

Sloyd as an activity concretizes man’s ability to, with the help of mind and body, reshape materials into objects and change her conditions for survival. The sloyd actor outside school works when the spirit moves her, while the pupil in school is expected to sloyd regardless of motivation. Subject teachers become experts on sloyd in educational settings, while the qualification requirements may set the class teachers’ voluntariness within parenthesis. All class teachers qualify to teach all core subjects of the national curriculum in Finland from preschool to grade six. The aim of the current thesis is to deepen the knowledge on how the science of sloyd education can support class teacher students’ future teaching in sloyd. In the empirical part of the study, Swedish-speaking Finnish class teacher students’ views on technical sloyd as one of their future subjects for teaching are examined. The class teacher’s qualifying skills in teaching technical sloyd are expected to take shape during only a few ECTS study points. The teacher students’ experience of the subject from the pupil’s perspective is supposed to move into a budding teacher subject. In a research-based teacher education, self-reflection and reflection as a dialogue are extended aided by research results. Intuitive thinking interplays with rational thinking during this time. The teacher student’s approach to make use of the autonomous free space in teaching is, in the current thesis, as considerations where the individual weighs the pros and cons in relation to various phenomena in sloyd and the school overall. The basis for an individual autonomy is shaped and is expected to interplay on the common arena of autonomy. In the exercise of their profession, the class teacher teaching sloyd is expected to oscillate between the sloyd educational practice and theory. The first step in this movement within the teacher education is the coverage of a selection of theories during the studies. The empirical part of the study is carried out at two separate occasions with directed open-ended interviews with fifteen class teacher students in the beginning and end of their first year of study. The data was analysed with a hermeneutic approach and a qualitatively oriented approach to content analysis. The results are mirrored against theory within the science of sloyd education. The results show that class teacher students have a versatile view of educational sloyd. The overall results overthrow parts of the researcher’s pre-understanding. The viewpoint of the students seems to broaden from a merely manual activity to seeing sloyd as an educational activity. In order for the results to gain significance in the teacher education of the future, a line of reasoning is conducted in order to recommend an extended dialogue and thirteen possible themes for enriching discussions are put forth as a result of the present study. The extended dialogue focuses on that teacher education should make conscious ventures to create opportunities for the students to take part in effective discussions on the subject of sloyd, complementing the existing dialogue between the teacher educator and the students. This thesis lends support to reflections on the following aspects of educational sloyd in these dialogues: the reasons for why the sloyd subject exists, the ambitions of the subject, the content and organization of the subject for students as well as for the teacher educators.

Adaptive Markov chain Monte Carlo and Bayesian filtering for state space models

This thesis is concerned with the state and parameter estimation in state space models. The estimation of states and parameters is an important task when mathematical modeling is applied to many different application areas such as the global positioning systems, target tracking, navigation, brain imaging, spread of infectious diseases, biological processes, telecommunications, audio signal processing, stochastic optimal control, machine learning, and physical systems. In Bayesian settings, the estimation of states or parameters amounts to computation of the posterior probability density function. Except for a very restricted number of models, it is impossible to compute this density function in a closed form. Hence, we need approximation methods. A state estimation problem involves estimating the states (latent variables) that are not directly observed in the output of the system. In this thesis, we use the Kalman filter, extended Kalman filter, Gauss–Hermite filters, and particle filters to estimate the states based on available measurements. Among these filters, particle filters are numerical methods for approximating the filtering distributions of non-linear non-Gaussian state space models via Monte Carlo. The performance of a particle filter heavily depends on the chosen importance distribution. For instance, inappropriate choice of the importance distribution can lead to the failure of convergence of the particle filter algorithm. In this thesis, we analyze the theoretical Lᵖ particle filter convergence with general importance distributions, where p ≥2 is an integer. A parameter estimation problem is considered with inferring the model parameters from measurements. For high-dimensional complex models, estimation of parameters can be done by Markov chain Monte Carlo (MCMC) methods. In its operation, the MCMC method requires the unnormalized posterior distribution of the parameters and a proposal distribution. In this thesis, we show how the posterior density function of the parameters of a state space model can be computed by filtering based methods, where the states are integrated out. This type of computation is then applied to estimate parameters of stochastic differential equations. Furthermore, we compute the partial derivatives of the log-posterior density function and use the hybrid Monte Carlo and scaled conjugate gradient methods to infer the parameters of stochastic differential equations. The computational efficiency of MCMC methods is highly depend on the chosen proposal distribution. A commonly used proposal distribution is Gaussian. In this kind of proposal, the covariance matrix must be well tuned. To tune it, adaptive MCMC methods can be used. In this thesis, we propose a new way of updating the covariance matrix using the variational Bayesian adaptive Kalman filter algorithm.

Implementatiоn оf Sustainability-Оriented Innоvatiоns in Business - Studying Оrganizatiоnal and External Capabilities: Evidence frоm Pоland

The cоncept оf sustainability-оriented innоvatiоn is recent and still under researched. The aim оf the Thesis is tо cоntribute tо the field and investigate hоw dо cоmpanies оperating in Pоland apply sustainability-оriented innоvatiоn (SОI) tо their cоre business activities, what are the differences between variоus business fоrms оf оrganizatiоn in terms оf SОI, and what type оf capabilities facilitate implementatiоn оf SОI. Given early stage оf empirical research оn sustainability-оriented innоvatiоn, an explоratоry-descriptive case study research strategy was taken applying qualitative methоds. 6 interviews with managers and CEОs оf 4 cоmpanies lоcated in Warsaw were cоnducted. In additiоn, twо academic expert panels with specialists frоm University оf Lоdz and Lappeenranta University оf Technоlоgy were carried оut in оrder tо suppоrt the findings. The study fоund оut that in case оf cоmpanies which purpоse is tо create pоsitive impact and develоp sustainable prоducts оr services by using innоvative apprоaches, SОI activities are embedded in оrganizatiоnal culture and prоcess sо that it is difficult tо differentiate between main business activities and SОI. In the оther twо cases SОI practices were in line with cоre business activities thus reflected the main оperatiоns and were determined as a part оf CSR strategy. Activities are industry specific and are cоntingent upоn resоurces and capabilities pоssessed. Amоng list оf success factоrs management suppоrt, CEО’s persоnal values, dedicated and mоtivated team, investments in research and develоpment, оrganizatiоnal culture, nоn-hierarchical cоmmunicatiоns channels, empоwerment оf emplоyees, prоvisiоn оf time and space fоr failures were identified as key оrganizatiоnal capabilities facilitating integratiоn оf SОI practices. Whereas market demand, NGОs’ pressure, regulatiоns enfоrced, access tо external funding, netwоrking and cооperating present external оr cоllabоrative capabilities suppоrting implementatiоn оf sustainability оriented innоvatiоn in cоmpanies. SОI takes a systemic apprоach that drives the transfоrmatiоn tо becоme sustainable business embedding and integrating sоcial, envirоnmental and ecоnоmic value creatiоn tоgether.