Kinnasneulatekniikan verkko-oppimateriaalin kehittäminen ja neulalla neulomisen taidon kehittyminen

The purpose of the study was to develop a functional web-based learning material for the learning of the nålbinding technique. The study of the research topic was already begun in my pedagogical thesis in 2008 by considering the demands on pedagogic material for the teaching of the technique. This study falls into the field of qualitative design research which was carried out through three stages. In the study three methods of usability testing, i.e. expert analysis, the informants’ thinking aloud and interviews, were used as research methods. At the first stage of the study the first version of the learning material was created. This was done on the basis of theoretical knowledge, the demands set on learning materials as clarified in previous studies, on the basis of previously created learning materials for the learning of the nålbinding technique as well as with the help of two experts on the technique. At the second stage, the learning material was developed on the basis of expert analysis and another version of the material was created. At the third stage, usability testing was carried out on the material. At this stage two informants used the material, practiced stitching with the nålbinding needle and thought aloud while doing so. In the usability testing the Morae –programme was used to record the events on the screen, the actions of the informants and their spoken out thoughts. The Morae –programme was also used when analysing the recordings. After the testing, the informants practised stitching independently and in a few weeks time they were interviewed. The interviews were aimed at finding out the informants’ opinions on the future development of the material. On the basis of the informants’ independent attempts at using the nålbinding technique, the development of their skills after the testing was also discussed at the interviews. The development of the learning material will continue after this study on the basis of the usability testing and the interviews. The web-based learning material was created for the website Käspaikka in the address www.kaspaikka.fi/kinnasneula. By creating a multimodal learning material the dual-coding theory by Paivio was taken into consideration. According to the theory, several methods of presentation help a learner to restore information in his/her memory. The independent construction of the learner’s knowledge, i.e. learning according to the principles of the constructivist learning theory, was also supported by creating a logical navigation system, by linking interrelated topics to one another and by presenting the topics in several different forms. In the test situations the learning material was judged to work well when practising stitching with the nålbinding needle. Both informants learned the basics of the nålbinding technique even though their respective learning strategies were quite different. In the usability testing illogicalities and shortcomings were still noticed in the learning material which will still be further developed in the future.

Nutrition and Nutritional Care of Elderly People in Finnish Nursing Homes and Hospitals

Background: Malnutrition is a common problem for residents of nursing homes and long-term care hospitals. It has a negative influence on elderly residents and patients health and quality of life. Nutritional care seems to have a positive effect on elderly individuals nutritional status and well-being. Studies of Finnish elderly people s nutrition and nutritional care in institutions are scarce. Objectives: The primary aim was to investigate the nutritional status and its associated factors of elderly nursing home residents and long-term care patients in Finland. In particular, to find out, if the nursing or nutritional care factors are associated with the nutritional status, and how do carers and nurses recognize malnutrition. A further aim was to assess the energy and nutrient intake of the residents of dementia wards. A final objective was to find out, if the nutrition training of professionals leads to changes in their knowledge and further translate into better nutrition for the aged residents of dementia wards. Subjects and methods: The residents (n=2114) and patients (n=1043) nutritional status was assessed in all studies using the Mini Nutritional Assessment test (MNA). Information was gathered in a questionnaire on residents and patients daily routines providing nutritional care. Residents energy and nutrient intake (n=23; n=21) in dementia wards were determined over three days by the precise weighing method. Constructive learning theory was the basis for educating the professionals (n=28). A half-structured questionnaire was used to assess professionals learning. Studies I-IV were cross-sectional studies whereas study V was an intervention study. Results: Malnutrition was common among elderly residents and patients living in nursing homes and hospitals in Finland. According to the MNA, 11% to 57% of the studied elderly people suffered from malnutrition, and 40-89% were at risk of malnutrition, whereas only 0-16% had a good nutritional status. Resident- and patient-related factors such as dementia, impaired ADL (Activities of Daily Living), swallowing difficulties and constipation mainly explained the malnutrition, but also some nutritional care related factors, such as eating less than half of the offered food portion and not receiving snacks were also related to malnutrition. The intake of energy and some nutrients by the residents of dementia wards were lower than those recommended, although the offered food contained enough energy and nutrients. The proportion of residents receiving vitamin D supplementation was low, although there is a recommendation and known benefits for the adequate intake of vitamin D. Nurses recognized malnutrition poorly, only one in four (26.7%) of the actual cases. Keeping and analysing food diaries and reflecting on nutritional issues in small group discussions were effective training methods for professionals. The nutrition education of professionals had a positive impact on the energy and protein intake, BMIs, and the MNA scores of some residents in dementia wards. Conclusions: Malnutrition was common among elderly residents and patients living in nursing homes and hospitals in Finland. Although residents- and patient related factors mainly explained malnutrition, nurses recognized malnutrition poorly and nutritional care possibilities were in minor use. Professionals nutrition education had a positive impact on the nutrition of elderly residents. Further studies describing successful nutritional care and nutrition education of professionals are needed.

Statistical and Information-Theoretic Methods for Data-Analysis

In this Thesis, we develop theory and methods for computational data analysis. The problems in data analysis are approached from three perspectives: statistical learning theory, the Bayesian framework, and the information-theoretic minimum description length (MDL) principle. Contributions in statistical learning theory address the possibility of generalization to unseen cases, and regression analysis with partially observed data with an application to mobile device positioning. In the second part of the Thesis, we discuss so called Bayesian network classifiers, and show that they are closely related to logistic regression models. In the final part, we apply the MDL principle to tracing the history of old manuscripts, and to noise reduction in digital signals.

OCR Prediction Using Support Vector Machine Based on Piezocone Data

The determination of the overconsolidation ratio (OCR) of clay deposits is an important task in geotechnical engineering practice. This paper examines the potential of a support vector machine (SVM) for predicting the OCR of clays from piezocone penetration test data. SVM is a statistical learning theory based on a structural risk minimization principle that minimizes both error and weight terms. The five input variables used for the SVM model for prediction of OCR are the corrected cone resistance (qt), vertical total stress (sigmav), hydrostatic pore pressure (u0), pore pressure at the cone tip (u1), and the pore pressure just above the cone base (u2). Sensitivity analysis has been performed to investigate the relative importance of each of the input parameters. From the sensitivity analysis, it is clear that qt=primary in situ data influenced by OCR followed by sigmav, u0, u2, and u1. Comparison between SVM and some of the traditional interpretation methods is also presented. The results of this study have shown that the SVM approach has the potential to be a practical tool for determination of OCR.

Avoimesti sitoutuneena : Lähetystyö kristillisessä kasvatuksessa ja vapaaehtoistyössä

In this study the junction of Christian mission, Christian education and voluntary work are examined in the Christian student voluntary association Opiskelijain Lähetysliitto (OL), which is the Finnish successor to the Student Volunteer Movement. The main subjects are the structure and content of the mission education as one aspect of Lutheran education and the reasons for expressing the mission interest through voluntary work. The research questions are as follows: What kind of organization has the OL been? What has mission education been like in the OL? Why have the former chairpersons participated in the OL? How have purposiveness and intentionality arisen among the former chairpersons? The study is empirical despite having a historical and retrospective view, since the OL is explored during the period 1972 2000. The data consists of the OL s annual reports, membership applications (N=629) and interviews of all 25 former chairmen. Data is analysed by qualitative and quantitative content analysis in a partly inductive and partly deductive manner. The pedagogical framework arises from situational learning theory (Lave - Wenger 1991), which was complemented with the criteria for meaningful learning (Jonassen 1995), the octagon model of volunteer motivation (Yeung 2004) and the definitions of intentionality and purposiveness in the theory of teachers pedagogical thinking (Kansanen et al. 2000). The analysis of the archive data showed that the activities of the OL are reminiscent of those of the missions of the Finnish Evangelical Lutheran Church congregations. The biggest difference was that all OL participants were young adults, the age group that is the greatest challenge to the Church. The OL is therefore an interesting context in which to explore mission education and mission interest. The key result of the study was the forming of a model of mission educa-tion. The model has three educational components: values, goals and methods. The gist of the model is formed by the goals. The main goal is the arousing and strengthening of mission interest which has emotional, cognitive and practical aspects. The subgoals create the horizontal vertical and inward outward dimensions of the model, which are the metalevels of mission education. The subgoals reveal that societal and religious education may embody a missionary dimension when they are understood as missionary training. Further, a distinction between mission education and missionary training was observed. The former emphasizes the main goal of the model and the latter underlines the subgoals. Based on the vertical dimension of the model the study suggests that the definition of religious competence needs to be complemented with missional competence. Reasons for participating in the OL were found to be diverse as noted in other studies on volunteering and motivating factors, and were typical to young people such as the importance of social relations. The study created new motivational themes that occurred in the middle of the continuity newness and the distance proximity dimensions, which were not found in Yeung s research. Mission interest as voluntary work appeared as oriented towards one s own spirituality or towards the social community. On the other hand, mission interest was manifested as intentional education in order to either improve the community or to promote the Christian mission. In the latter case the mission was seen as a purpose in life and as a future profession. Keywords: mission, Christian education, voluntary work, mission education, mission interest, stu-dent movement

Theorizing the Nature of Reflection

For the past decades reflection has been the buzzword of adult and higher education. Reflection is facilitated in many practices and there is abundant research on the issue. Despite the popularity of the concept, the reasons why bringing about reflection in educational practices is difficult remain unclear. The prevailing theories inform of the process in its ideal form. However, to a great extent, they fail to offer conceptual tools for understanding and working with the actualities of reflection. The aim of the doctoral thesis was to explore the challenges and prerequisites of reflection in order to theorize the nature of reflection. By the term reflection it is here referred to becoming aware of and questioning the assumptions that orient our thinking, feelings and actions. The doctoral thesis consists of five studies that approach these questions from different viewpoints and within different contexts. The methods involve both a philosophical and an empirical approach. This multifaceted approach embodies the aim of both gaining a more thorough grasp of the phenomenon and to develop the methodology of researching reflection. The theory building is based on conceptual analysis and rational reconstruction (see Davia 1998; Habermas 1979; Rorty1984) of Mezirow s (1981; 1991; 2000; 2009) theory of transformative learning. In order to explore the aspects which, based on the analysis, appeared insufficiently considered within Mezirow s theory, Damasio s (1994; 1999; 2003; 2010) theory on emotions and consciousness as well as Clausewitz s (1985) view on friction are used as complementary theories. Empirical analyses are used in dialogue with the theoretical, in order to challenge and refine the emerging theorization. Reflection is examined in three different contexts; regarding university teachers pedagogical growth, involuntarily childless women recovering from a life-event crisis, and soldiers preparing to act in chaotic situations of the battlefield as well as recovering from it. The choice of these contexts is based on Mezirow s notion of disorienting dilemma as a trigger for reflection. This notion indicates that reflection may more naturally emerge in association to life-event crises or other cumulative sets of instances, which bring our worldview and beliefs under question. Nevertheless, reflection is often being promoted in educational contexts in which the trigger conditions may not readily prevail. These contextual issues as well as the differences between the facilitated and non-facilitated contexts have not, however, been considered in detail within the research on reflection (or transformative learning). The doctoral thesis offers a new perspective into reflection which, as a further development on Mezirow s transformative learning theory, theorizes the nature of reflection. The developed theory explicates the prerequisites and challenges to reflection. The theory suggests that the challenges of reflection are fundamentally connected to the way the biological life-support system affects our thinking through emotions. While depicting the mechanisms that function as a counterforce to reflection, the developed theory also opens a perspective for considering possibilities for carrying out reflection, and suggests ways to locate and deal with the assumptions to be reflected on. The basic dynamic of the challenges to reflection was explicated by conceptually bridging the gap between Mezirow s and Damasio s theories, through exploring the connections between the meaning perspective and the biological functions of emotions. The concepts of comfort zone and edge-emotions were formed so as to depict the emotional orientation of our thinking, as part of the explanation of the nature of reflection.

Työntekijän näkökulmat ja oppiminen ulkoistusprojektissa : "Aluks pelkää muutosta ja sit pelkää, ettei mikään muutukaan."

The aim of this master s thesis was to clarify employees views on outsourcing. The main questions of the study were 1) How the employees dealt with the change created by outsourcing and what things they felt important when implementing the change? 2) What kind of organizational questions the employees paid attention to when moving from one organization to another? 3) What kind of management issues the employees brought up in the outsourcing process? and 4) How the employees reflected change while experienced outsourcing? The theoretical foundations of the study were Jack Mezirow s theory of transformational learning and Yrjö Engeström s theory of expansive learning. The management of outsourcing was viewed by John P. Kotter s change management model. Research casted light on transformation and learning on four levels of analysis: on individual, organizational and management levels and on the level of reflection. The target of the study were the outsourced employees, who were moved from a Finnish public corporation to a private ITC organization along with the services they produce. The study material was eleven interviews from the outsourced employees. The study was implemented by fenomenographical theme analysis. The analysis revealed results in all four levels. On the individual level the main results were the importance of systematic and open information, meaning of social and technical integration and the feeling of employee s own control. On the organizational level the move from the public sector to private and all the changes in organizational culture and in fringe benefitswere fundamental. Organizational learning was analyzed with expansive learning theory. Expanding was perceived in four dimensions: temporal dimension, spatial dimension, responsibility-moral dimension and developmental dimension. On the management level the actions of one s closest manager was vital, as was the upper management s clear engagement and a shared view of the necessity of a change. In the data was found employees reflective talking, which was indicating the meaning of the change and which was interpreted from the learning point of view. According to this study, it is possible to identify and analyze reflective talk and that way have information about employees learning in an organizational change. It was prominent to notice how reflection in the process of outsourcing is extremely versatile and extensive.

A comparative study of ordinary kriging and support vector machine models for the spatial variability of rock depth in Bangalore

In this paper, reduced level of rock at Bangalore, India is arrived from the 652 boreholes data in the area covering 220 sq.km. In the context of prediction of reduced level of rock in the subsurface of Bangalore and to study the spatial variability of the rock depth, ordinary kriging and Support Vector Machine (SVM) models have been developed. In ordinary kriging, the knowledge of the semivariogram of the reduced level of rock from 652 points in Bangalore is used to predict the reduced level of rock at any point in the subsurface of Bangalore, where field measurements are not available. A cross validation (Q1 and Q2) analysis is also done for the developed ordinary kriging model. The SVM is a novel type of learning machine based on statistical learning theory, uses regression technique by introducing e-insensitive loss function has been used to predict the reduced level of rock from a large set of data. A comparison between ordinary kriging and SVM model demonstrates that the SVM is superior to ordinary kriging in predicting rock depth.

Rough Core Vector Clustering

Support Vector Clustering has gained reasonable attention from the researchers in exploratory data analysis due to firm theoretical foundation in statistical learning theory. Hard Partitioning of the data set achieved by support vector clustering may not be acceptable in real world scenarios. Rough Support Vector Clustering is an extension of Support Vector Clustering to attain a soft partitioning of the data set. But the Quadratic Programming Problem involved in Rough Support Vector Clustering makes it computationally expensive to handle large datasets. In this paper, we propose Rough Core Vector Clustering algorithm which is a computationally efficient realization of Rough Support Vector Clustering. Here Rough Support Vector Clustering problem is formulated using an approximate Minimum Enclosing Ball problem and is solved using an approximate Minimum Enclosing Ball finding algorithm. Experiments done with several Large Multi class datasets such as Forest cover type, and other Multi class datasets taken from LIBSVM page shows that the proposed strategy is efficient, finds meaningful soft cluster abstractions which provide a superior generalization performance than the SVM classifier.

Influence fields: a quantitative framework for representation and analysis of active dendrites

Rathour RK, Narayanan R. Influence fields: a quantitative framework for representation and analysis of active dendrites. J Neurophysiol 107: 2313-2334, 2012. First published January 18, 2012; doi:10.1152/jn.00846.2011.-Neuronal dendrites express numerous voltage-gated ion channels (VGICs), typically with spatial gradients in their densities and properties. Dendritic VGICs, their gradients, and their plasticity endow neurons with information processing capabilities that are higher than those of neurons with passive dendrites. Despite this, frameworks that incorporate dendritic VGICs and their plasticity into neurophysiological and learning theory models have been far and few. Here, we develop a generalized quantitative framework to analyze the extent of influence of a spatially localized VGIC conductance on different physiological properties along the entire stretch of a neuron. Employing this framework, we show that the extent of influence of a VGIC conductance is largely independent of the conductance magnitude but is heavily dependent on the specific physiological property and background conductances. Morphologically, our analyses demonstrate that the influences of different VGIC conductances located on an oblique dendrite are confined within that oblique dendrite, thus providing further credence to the postulate that dendritic branches act as independent computational units. Furthermore, distinguishing between active and passive propagation of signals within a neuron, we demonstrate that the influence of a VGIC conductance is spatially confined only when propagation is active. Finally, we reconstruct functional gradients from VGIC conductance gradients using influence fields and demonstrate that the cumulative contribution of VGIC conductances in adjacent compartments plays a critical role in determining physiological properties at a given location. We suggest that our framework provides a quantitative basis for unraveling the roles of dendritic VGICs and their plasticity in neural coding, learning, and homeostasis.

Functional maps within a single neuron

Narayanan R, Johnston D. Functional maps within a single neuron. J Neurophysiol 108: 2343-2351, 2012. First published August 29, 2012; doi:10.1152/jn.00530.2012.-The presence and plasticity of dendritic ion channels are well established. However, the literature is divided on what specific roles these dendritic ion channels play in neuronal information processing, and there is no consensus on why neuronal dendrites should express diverse ion channels with different expression profiles. In this review, we present a case for viewing dendritic information processing through the lens of the sensory map literature, where functional gradients within neurons are considered as maps on the neuronal topograph. Under such a framework, drawing analogies from the sensory map literature, we postulate that the formation of intraneuronal functional maps is driven by the twin objectives of efficiently encoding inputs that impinge along different dendritic locations and of retaining homeostasis in the face of changes that are required in the coding process. In arriving at this postulate, we relate intraneuronal map physiology to the vast literature on sensory maps and argue that such a metaphorical association provides a fresh conceptual framework for analyzing and understanding single-neuron information encoding. We also describe instances where the metaphor presents specific directions for research on intraneuronal maps, derived from analogous pursuits in the sensory map literature. We suggest that this perspective offers a thesis for why neurons should express and alter ion channels in their dendrites and provides a framework under which active dendrites could be related to neural coding, learning theory, and homeostasis.

Rigorous finite-time guarantees for optimization on continuous domains by simulated annealing

Simulated annealing is a popular method for approaching the solution of a global optimization problem. Existing results on its performance apply to discrete combinatorial optimization where the optimization variables can assume only a finite set of possible values. We introduce a new general formulation of simulated annealing which allows one to guarantee finite-time performance in the optimization of functions of continuous variables. The results hold universally for any optimization problem on a bounded domain and establish a connection between simulated annealing and up-to-date theory of convergence of Markov chain Monte Carlo methods on continuous domains. This work is inspired by the concept of finite-time learning with known accuracy and confidence developed in statistical learning theory.

Neural and computational representations of decision variables

These studies explore how, where, and when representations of variables critical to decision-making are represented in the brain. In order to produce a decision, humans must first determine the relevant stimuli, actions, and possible outcomes before applying an algorithm that will select an action from those available. When choosing amongst alternative stimuli, the framework of value-based decision-making proposes that values are assigned to the stimuli and that these values are then compared in an abstract “value space” in order to produce a decision. Despite much progress, in particular regarding the pinpointing of ventromedial prefrontal cortex (vmPFC) as a region that encodes the value, many basic questions remain. In Chapter 2, I show that distributed BOLD signaling in vmPFC represents the value of stimuli under consideration in a manner that is independent of the type of stimulus it is. Thus the open question of whether value is represented in abstraction, a key tenet of value-based decision-making, is confirmed. However, I also show that stimulus-dependent value representations are also present in the brain during decision-making and suggest a potential neural pathway for stimulus-to-value transformations that integrates these two results.

More broadly speaking, there is both neural and behavioral evidence that two distinct control systems are at work during action selection. These two systems compose the “goal-directed system”, which selects actions based on an internal model of the environment, and the “habitual” system, which generates responses based on antecedent stimuli only. Computational characterizations of these two systems imply that they have different informational requirements in terms of input stimuli, actions, and possible outcomes. Associative learning theory predicts that the habitual system should utilize stimulus and action information only, while goal-directed behavior requires that outcomes as well as stimuli and actions be processed. In Chapter 3, I test whether areas of the brain hypothesized to be involved in habitual versus goal-directed control represent the corresponding theorized variables.

The question of whether one or both of these neural systems drives Pavlovian conditioning is less well-studied. Chapter 4 describes an experiment in which subjects were scanned while engaged in a Pavlovian task with a simple non-trivial structure. After comparing a variety of model-based and model-free learning algorithms (thought to underpin goal-directed and habitual decision-making, respectively), it was found that subjects’ reaction times were better explained by a model-based system. In addition, neural signaling of precision, a variable based on a representation of a world model, was found in the amygdala. These data indicate that the influence of model-based representations of the environment can extend even to the most basic learning processes.

Knowledge of the state of hidden variables in an environment is required for optimal inference regarding the abstract decision structure of a given environment and therefore can be crucial to decision-making in a wide range of situations. Inferring the state of an abstract variable requires the generation and manipulation of an internal representation of beliefs over the values of the hidden variable. In Chapter 5, I describe behavioral and neural results regarding the learning strategies employed by human subjects in a hierarchical state-estimation task. In particular, a comprehensive model fit and comparison process pointed to the use of "belief thresholding". This implies that subjects tended to eliminate low-probability hypotheses regarding the state of the environment from their internal model and ceased to update the corresponding variables. Thus, in concert with incremental Bayesian learning, humans explicitly manipulate their internal model of the generative process during hierarchical inference consistent with a serial hypothesis testing strategy.

Disney: ideologia eta pedagogia

[eus] Ikerketa honek Walt Disney konpainiak ekoiztutako hainbat filmetan agertzen den edukia eta pertsonaiak analizatzen ditu. Pelikulak balorez eta aspektu ideologikoez beteta daude eta gizarte-ikaskuntzaren teoriaren arabera, izugarrizko eragina daukate haurren jarduteko moduan. Ideia horiek oso lotuta daude emakumezkoak gizartean hartzen duen irudiarekin, gizartean dagoen familiaren esanahiarekin eta gure gizarteko sistema politiko eta ekonomikoarekin. Beraz, animaziozko filmen aurrean umeen kritikotasuna garatzeko Lehen Hezkuntzako gelarako baliabide metodologikoa proposatzen da, umeek pantaila handian ikusten dutenaz hausnar dezaten.

Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains

Simulated annealing is a popular method for approaching the solution of a global optimization problem. Existing results on its performance apply to discrete combinatorial optimization where the optimization variables can assume only a finite set of possible values. We introduce a new general formulation of simulated annealing which allows one to guarantee finite-time performance in the optimization of functions of continuous variables. The results hold universally for any optimization problem on a bounded domain and establish a connection between simulated annealing and up-to-date theory of convergence of Markov chain Monte Carlo methods on continuous domains. This work is inspired by the concept of finite-time learning with known accuracy and confidence developed in statistical learning theory.