The nature of communication structures of university students in an international web-based computer-supported collaborative learning (CSCL) course

Communication, the flow of ideas and information between individuals in a social context, is the heart of educational experience. Constructivism and constructivist theories form the foundation for the collaborative learning processes of creating and sharing meaning in online educational contexts. The Learning and Collaboration in Technology-enhanced Contexts (LeCoTec) course comprised of 66 participants drawn from four European universities (Oulu, Turku, Ghent and Ramon Llull). These participants were split into 15 groups with the express aim of learning about computer-supported collaborative learning (CSCL). The Community of Inquiry model (social, cognitive and teaching presences) provided the content and tools for learning and researching the collaborative interactions in this environment. The sampled comments from the collaborative phase were collected and analyzed at chain-level and group-level, with the aim of identifying the various message types that sustained high learning outcomes. Furthermore, the Social Network Analysis helped to view the density of whole group interactions, as well as the popular and active members within the highly collaborating groups. It was observed that long chains occur in groups having high quality outcomes. These chains were also characterized by Social, Interactivity, Administrative and Content comment-types. In addition, high outcomes were realized from the high interactive cases and high-density groups. In low interactive groups, commenting patterned around the one or two central group members. In conclusion, future online environments should support high-order learning and develop greater metacognition and self-regulation. Moreover, such an environment, with a wide variety of problem solving tools, would enhance interactivity.

Teaching mathematics and programming : new approaches with empirical evaluation

Programming and mathematics are core areas of computer science (CS) and consequently also important parts of CS education. Introductory instruction in these two topics is, however, not without problems. Studies show that CS students find programming difficult to learn and that teaching mathematical topics to CS novices is challenging. One reason for the latter is the disconnection between mathematics and programming found in many CS curricula, which results in students not seeing the relevance of the subject for their studies. In addition, reports indicate that students' mathematical capability and maturity levels are dropping. The challenges faced when teaching mathematics and programming at CS departments can also be traced back to gaps in students' prior education. In Finland the high school curriculum does not include CS as a subject; instead, focus is on learning to use the computer and its applications as tools. Similarly, many of the mathematics courses emphasize application of formulas, while logic, formalisms and proofs, which are important in CS, are avoided. Consequently, high school graduates are not well prepared for studies in CS. Motivated by these challenges, the goal of the present work is to describe new approaches to teaching mathematics and programming aimed at addressing these issues: Structured derivations is a logic-based approach to teaching mathematics, where formalisms and justifications are made explicit. The aim is to help students become better at communicating their reasoning using mathematical language and logical notation at the same time as they become more confident with formalisms. The Python programming language was originally designed with education in mind, and has a simple syntax compared to many other popular languages. The aim of using it in instruction is to address algorithms and their implementation in a way that allows focus to be put on learning algorithmic thinking and programming instead of on learning a complex syntax. Invariant based programming is a diagrammatic approach to developing programs that are correct by construction. The approach is based on elementary propositional and predicate logic, and makes explicit the underlying mathematical foundations of programming. The aim is also to show how mathematics in general, and logic in particular, can be used to create better programs.

Viestintä ravitsemusosaamisen kehittämisessä Case:Sairaalan ateriaprosessi

Tutkielman tarkoituksena oli tutkia viestinnän merkitystä osaamisen kehittämisessä. Tavoitteena oli tutkia, miten viestintä edistää ravitsemusosaamisen kehittämistä sairaalan ateriaprosessissa. Tutkimuksessa etsittiin vastausta kysymyksiin, mitkä ovat ravitsemusosaamisen kehittämisen ja viestinnän tavoitteet, millä työyhteisöviestinnän foorumeilla uuden ravitsemushoitosuosituksen ja ravitsemushoidon strategian edellyttämiä muutoksia käsitellään ja millaisia työssä oppimisen prosesseja näillä foorumeilla on tunnistettavissa. Empirian näkökulmasta tutkimusta voidaan kuvata tapaustutkimukseksi. Tapauksena on sairaalan ateriaprosessi. Tutkimuksen valmistelevana aineistona käytettiin uutta ravitsemushoitosuositusta (Nuutinen ym. 2010), jota täydennettiin haastatteluaineistolla. Tutkimuksessa ovat edustettuina hoitotyön, ruokapalvelun ja ravitsemushoidon asiantuntemuksen näkökulmat sairaalasta sekä ammatti- ja aikuisopistosta. Tutkimusmenetelmänä käytettiin teemahaastatteluja. Haastattelut nauhoitettiin ja litteroitiin tekstimuotoon. Aineisto analysoitiin teemakortiston ja teemoittelun avulla. Tutkimuksen tulokset osoittavat, että ravitsemusosaamisen kehittämisen tavoitteena on uuden ravitsemushoitosuosituksen ja ravitsemushoidon strategian edellyttämien muutosten toteuttaminen sairaalan ravitsemushoidon prosesseissa ja tuotteissa. Ravitsemusosaamisen kehittämisen tavoitteena on tässä yhteydessä ateriaprosessin ja ruokapalvelun tuotteiden eli ruokavalioiden kehittäminen. Ravitsemushoidon kehittämisen tarkoituksena on asiakkaiden toipumisen, elämänlaadun ja hyvinvoinnin edistäminen sekä terveydenhuollon kustannusten säästäminen. Viestinnällä on tärkeä merkitys ravitsemusosaamisen kehittämisessä. Viestinnän avulla edistetään yksilöllistä ja yhteistä eli tiimioppimista vuorovaikutuksen kautta. Ruokapalvelu- ja hoitohenkilöstön sekä ravitsemushoidon asiantuntijoiden välinen vuoropuhelu nähdään tärkeänä ravitsemusosaamisen kehittämisessä. Vuoropuhelun avulla vahvistetaan ravitsemushoitoon liittyvää tietopohjaa ja yhteistä käsitteistöä. Tavoitteena on yhteisen kielen ja toimintamallin luominen ravitsemushoidon kehittämiseen. Ravitsemushoitosuosituksen ja ravitsemushoidon strategian edellyttämiä muutoksia käsitellään ulkoisissa ja sisäisissä verkostoissa esimerkiksi ravitsemus-yhdyshenkilöverkoston tapaamisissa, moniammatillisissa työryhmissä, henkilöstö- ja oppisopimuskoulutuksissa sekä työfoorumilla eli fyysisessä työtilassa ja hyödyntäen viestintäteknologiaa. Hoitotyön, ruokapalvelun ja ravitsemushoidon asiantuntijoilla/opettajilla on tärkeä rooli ravitsemusosaamisen kehittämiseen liittyvässä työssä oppimisen ohjaamisessa. Ravitsemusosaamisen kehittämisessä on tunnistettavissa sosiaalisia, reflektiivisiä, kognitiivisia ja operationaalisia työssä oppimisen prosesseja. Sosiaalisia prosesseja ovat työkokemusten vaihdanta ja reflektiivisiä niiden arviointi. Kognitiivisten prosessien tarkoitus on tiedonhankinta ja prosessointi, jolloin yhdistetään kokemustietoa sekä uutta ravitsemustieteellistä tietoa. Tavoitteena on yhteisen kielen ja toimintamallin luominen, jota kokeillaan käytännössä. Operationaalisia prosesseja ovat fyysisessä työtilassa tapahtuva kokeilemalla, tekemällä ja soveltamalla oppiminen, jolloin uutta toimintamallia esimerkiksi vajaaravitsemuksen seulontaa, ateriatilausta tai reseptiikkaa kokeillaan käytännössä. Johtopäätöksenä voidaan todeta, että sairaalassa on omaksuttu oppivan organisaation periaatteita ravitsemusosaamisen kehittämisessä. Ravitsemusosaamisen kehittäminen on yhteydessä muutokseen, strategiaan, prosessien ja tuotteiden kehittämiseen. Viestinnän avulla edistetään ravitsemushoitosuosituksen ja ravitsemushoidon strategian edellyttämien muutosten toteuttamista sairaalan ateriaprosessissa ja ruokavalioissa. Hoito- ja ruokapalveluhenkilöstön sekä ravitsemushoidon asiantuntijoiden välisen vuoropuhelun tavoitteena on yhteisen kielen ja toimintamallin luominen ravitsemushoidon kehittämiseen. Tutkimus palvelee ravitsemusosaamisen kehittämistä sairaalan ateriaprosessissa. Tutkimuksen tuloksia on mahdollista käyttää vertailuoppimismateriaalina terveydenhuollon organisaatioissa ja verkostoissa.

Novel word learning ability in chronic post-stroke aphasia : variability and modality effects

Novel word learning has been rarely studied in people with aphasia (PWA), although it can provide a relatively pure measure of their learning potential, and thereby contribute to the development of effective aphasia treatment methods. The main aim of the present thesis was to explore the capacity of PWA for associative learning of word–referent pairings and cognitive-linguistic factors related to it. More specifically, the thesis examined learning and long-term maintenance of the learned pairings, the role of lexical-semantic abilities in learning as well as acquisition of phonological versus semantic information in associative novel word learning. Furthermore, the effect of modality on associative novel word learning and the neural underpinnings of successful learning were explored. The learning experiments utilized the Ancient Farming Equipment (AFE) paradigm that employs drawings of unfamiliar referents and their unfamiliar names. Case studies of Finnishand English-speaking people with chronic aphasia (n = 6) were conducted in the investigation. The learning results of PWA were compared to those of healthy control participants, and active production of the novel words and their semantic definitions was used as learning outcome measures. PWA learned novel word–novel referent pairings, but the variation between individuals was very wide, from more modest outcomes (Studies I–II) up to levels on a par with healthy individuals (Studies III–IV). In incidental learning of semantic definitions, none of the PWA reached the performance level of the healthy control participants. Some PWA maintained part of the learning outcomes up to months post-training, and one individual showed full maintenance of the novel words at six months post-training (Study IV). Intact lexical-semantic processing skills promoted learning in PWA (Studies I–II) but poor phonological short-term memory capacities did not rule out novel word learning. In two PWA with successful learning and long-term maintenance of novel word–novel referent pairings, learning relied on orthographic input while auditory input led to significantly inferior learning outcomes (Studies III–IV). In one of these individuals, this previously undetected modalityspecific learning ability was successfully translated into training with familiar but inaccessible everyday words (Study IV). Functional magnetic resonance imaging revealed that this individual had a disconnected dorsal speech processing pathway in the left hemisphere, but a right-hemispheric neural network mediated successful novel word learning via reading. Finally, the results of Study III suggested that the cognitive-linguistic profile may not always predict the optimal learning channel for an individual with aphasia. Small-scale learning probes seem therefore useful in revealing functional learning channels in post-stroke aphasia.

Modeling and Simulation ofReal-Time System as a Tool to Improve Capacity Management - Case Fenix

Tämän tutkimustyön kohteena on TietoEnator Oy:n kehittämän Fenix-tietojärjestelmän kapasiteettitarpeen ennustaminen. Työn tavoitteena on tutustua Fenix-järjestelmän eri osa-alueisiin, löytää tapa eritellä ja mallintaa eri osa-alueiden vaikutus järjestelmän kuormitukseen ja selvittää alustavasti mitkä parametrit vaikuttavat kyseisten osa-alueiden luomaan kuormitukseen. Osa tätä työtä on tutkia eri vaihtoehtoja simuloinnille ja selvittää eri vaihtoehtojen soveltuvuus monimutkaisten järjestelmien mallintamiseen. Kerätyn tiedon pohjaltaluodaan järjestelmäntietovaraston kuormitusta kuvaava simulaatiomalli. Hyödyntämällä mallista saatua tietoa ja tuotantojärjestelmästä mitattua tietoa mallia kehitetään vastaamaan yhä lähemmin todellisen järjestelmän toimintaa. Mallista tarkastellaan esimerkiksi simuloitua järjestelmäkuormaa ja jonojen käyttäytymistä. Tuotantojärjestelmästä mitataan eri kuormalähteiden käytösmuutoksia esimerkiksi käyttäjämäärän ja kellonajan suhteessa. Tämän työn tulosten on tarkoitus toimia pohjana myöhemmin tehtävälle jatkotutkimukselle, jossa osa-alueiden parametrisointia tarkennetaan lisää, mallin kykyä kuvata todellista järjestelmää tehostetaanja mallin laajuutta kasvatetaan.

Muutos- ja oppimisprosessin johtaminen teollisuusyrityksessä

Kilpailukeinojen muuttuessa teollisuusyritysten muutostarve nopeutuu. Tämä aiheuttaa yritysten henkilökunnalle uusia haasteita ja lisää paineita elinikäiseen oppimiseen. Samalla se aiheuttaa koko yrityksen organisaatiolle yhteisen oppimisen tarpeen eli muuttumisen oppivaksi organisaatioksi. työssä on tutkittu oppivan organisaation käsitettä, valmiuksia muutosjohtamiseen sekä tarvittavaa asennetta muutosten tehokkaaseen läpivientiin. Muutoksen johtamiseen on esitetty muutosmallia, jonka sovellettavuutta on arvioitu case-yrityksen avulla. Muutosasenteen lisäksi on kiinnitetty huomiota mittaamiseen ja muutosten jatkumiseen päättymättöminä prosesseina. Työn tulokseksi saatiin mm. seuraavia toimenpide-ehdotuksia: Koulutusta tulisi lisätä ylimmälle johdole ja mielipidevaikuttajille. Organisaatiota pitäisi muuttaa tiedonkulkua suosivaksi ja saattaa tietojärjestelmät joustaviksi ja muutoksia tukeviksi järjestelmmiksi.

Competence Development and Capacity Building of Sawmill Enterprises in Kenya – A Human Resources Development Approach

The Kenyan forestry and sawmilling industry have been subject to a changing environment since 1999 when the industrial forest plantations were closed down. This has lowered raw material supply and it has affected and reduced the sawmill operations and the viability of the sawmill enterprises. The capacity of the 276 registered sawmills is not sufficient to fulfill sawn timber demand in Kenya. This is because of the technological degradation and lack of a qualified labor force, which were caused because of non-existent sawmilling education and further training in Kenya. Lack of competent sawmill workers has led to low raw material recovery, under utilization of resources and loss of employment. The objective of the work was to suggest models, methods and approaches for the competence and capacity development of the Kenyan sawmilling industry, sawmills and their workers. A nationwide field survey, interviews, questionnaire and literature review was used for data collection to find out the sawmills’ competence development areas and to suggest models and methods for their capacity building. The sampling frame included 22 sawmills that represented 72,5% of all the registered sawmills in Kenya. The results confirmed that the sawmills’ technological level was backwards, productivity low, raw material recovery unacceptable and workers’ professional education low. The future challenges will be how to establish the sawmills’ capacity building and workers’ competence development. Sawmilling industry development requires various actions through new development models and approaches. Activities should be started for technological development and workers’ competence development. This requires re-starting of vocational training in sawmilling and the establishment of more effective co-operation between the sawmills and their stakeholder groups. In competence development the Enterprise Competence Management Model of Nurminen (2007) can be used, whereas the best training model and approach would be a practically oriented learning at work model in which the short courses, technical assistance and extension services would be the key functions.

The Importance of Semantics: Visual World Studies on Drawing Inferences and Resolving Anaphors

The present thesis investigated the importance of semantics in generating inferences during discourse processing. Three aspects of semantics, gender stereotypes, implicit causality information and proto-role properties, were used to investigate whether semantics is activated elaboratively during discourse comprehension and what its relative importance is in backward inferencing compared to discourse/structural cues. Visual world eye-tracking studies revealed that semantics plays an important role in both backward and forward inferencing: Gender stereotypes and implicit causality information is activated elaboratively during online discourse comprehension. Moreover, gender stereotypes, implicit causality and proto-role properties of verbs are all used in backward inferencing. Importantly, the studies demonstrated that semantic cues are weighed against discourse/structural cues. When the structural cues consist of a combination of cues that have been independently shown to be important in backward inferencing, semantic effects may be masked, whereas when the structural cues consist of a combination of fewer prominent cues, semantics can have an earlier effect than structural factors in pronoun resolution. In addition, the type of inference matters, too: During anaphoric inferencing semantics has a prominent role, while discourse/structural salience attains more prominence during non-anaphoric inferencing. Finally, semantics exhibits a strong role in inviting new inferences to revise earlier made inferences even in the case the additional inference is not needed to establish coherence in discourse. The findings are generally in line with the Mental Model approaches. Two extended model versions are presented that incorporate the current findings into the earlier literature. These models allow both forward and backward inferencing to occur at any given moment during the course of processing; they also allow semantic and discourse/structural cues to contribute to both of these processes. However, while the Mental Model 1 does not assume interactions between semantic and discourse/structural factors in forward inferencing, the Mental Model 2 does assume such a link.

Mielikuvat kielen takana

Kirjallisuusarvostelu

Kognitiiviset kartat operatiivisen ketjuliiketoimintajohtamisen taustalla

Tutkimuksen tavoitteena oli selvittää, millaiset ajattelumallit korostuvat menestyksekkäässä ketjuliiketoimintajohtamisessa tasapainotetun tuloskortin eri näkökulmien osalta. Tutkimuskohteena olivat kuusi päivittäistavarakaupan ketjuliiketoiminnan asiakasrajapinnassa työskentelevää Osuuskauppa Keskimaan S-marketpäällikköä. Ajattelua tutkittiin kognitiivisesta näkökulmasta. Tutkimus toteutettiin laadullista tutkimusmenetelmää, kognitiivista kartoitusta hyödyntäen. Karttojen rakentamiseen käytetty tutkimusaineisto hankittiin puolistrukturoitujen teemahaastattelujen avulla. Tutkimuksen teoreettinen viitekehys rakennettiin mielen sisäisten skeemojen ja kognitiivisten karttojen kautta päätöksenteonteorioihin. Tutkimuksen tulosten perusteella asiakasnäkökulmassa menestyminen edellyttää liikeideaa kunnioittavaa ja konseptin tinkimättömään toteuttamiseen keskittyvää johtamisajattelua. Henkilöstönäkökulmassa menestyminen korostaa kokonaisvaltaisen esimiestyön ja moniulotteisten vuorovaikutussuhteiden merkitystä, joiden ilmeneminen on kognitiivisia rakenteita ja prosesseja monimuotoisempi kokonaisuus. Prosessinäkökulmassa menestyminen edellyttää selkeiden ohjeiden vaalimiseen ja niiden johtamiseen keskittyvää ajattelutapaa. Menestys talousnäkökulmassa kokoaa tuloskortin eri näkökulmat yhteen, korostaen kokonaisuuden hahmottamisen tärkeyttä sekä toimialan ja ketjuliiketoiminnan business-logiikan ymmärtämisen merkitystä osana operatiivista ketjuliiketoimintajohtamista. Lisäksi tutkimus vahvistaa aiempien tutkimustulosten mukaisesti, että kognitiivisen kartan rikkaudella, yhtenäisyydellä, johdonmukaisuudella, kartan sisältämien suorituskykymittareihin viittaavien mainintojen määrällä sekä esimiehen kokemalla vaikutusmahdollisuudella on yhteys liiketoimintamenestyksen kanssa. Kokonaisuutena päivittäistavarakaupan ketjuliiketoiminnan menestyksekkäässä johtamisessa näyttää korostuvan rationaalisuutta ja loogisuutta korostava ajattelutapa, joka tukeutuu vahvasti ketjuliiketoiminnan perusprosesseihin.

Promoting Programming Learning. Engagement, Automatic Assessment with Immediate Feedback in Visualizations

The skill of programming is a key asset for every computer science student. Many studies have shown that this is a hard skill to learn and the outcomes of programming courses have often been substandard. Thus, a range of methods and tools have been developed to assist students’ learning processes. One of the biggest fields in computer science education is the use of visualizations as a learning aid and many visualization based tools have been developed to aid the learning process during last few decades. Studies conducted in this thesis focus on two different visualizationbased tools TRAKLA2 and ViLLE. This thesis includes results from multiple empirical studies about what kind of effects the introduction and usage of these tools have on students’ opinions and performance, and what kind of implications there are from a teacher’s point of view. The results from studies in this thesis show that students preferred to do web-based exercises, and felt that those exercises contributed to their learning. The usage of the tool motivated students to work harder during their course, which was shown in overall course performance and drop-out statistics. We have also shown that visualization-based tools can be used to enhance the learning process, and one of the key factors is the higher and active level of engagement (see. Engagement Taxonomy by Naps et al., 2002). The automatic grading accompanied with immediate feedback helps students to overcome obstacles during the learning process, and to grasp the key element in the learning task. These kinds of tools can help us to cope with the fact that many programming courses are overcrowded with limited teaching resources. These tools allows us to tackle this problem by utilizing automatic assessment in exercises that are most suitable to be done in the web (like tracing and simulation) since its supports students’ independent learning regardless of time and place. In summary, we can use our course’s resources more efficiently to increase the quality of the learning experience of the students and the teaching experience of the teacher, and even increase performance of the students. There are also methodological results from this thesis which contribute to developing insight into the conduct of empirical evaluations of new tools or techniques. When we evaluate a new tool, especially one accompanied with visualization, we need to give a proper introduction to it and to the graphical notation used by tool. The standard procedure should also include capturing the screen with audio to confirm that the participants of the experiment are doing what they are supposed to do. By taken such measures in the study of the learning impact of visualization support for learning, we can avoid drawing false conclusion from our experiments. As computer science educators, we face two important challenges. Firstly, we need to start to deliver the message in our own institution and all over the world about the new – scientifically proven – innovations in teaching like TRAKLA2 and ViLLE. Secondly, we have the relevant experience of conducting teaching related experiment, and thus we can support our colleagues to learn essential know-how of the research based improvement of their teaching. This change can transform academic teaching into publications and by utilizing this approach we can significantly increase the adoption of the new tools and techniques, and overall increase the knowledge of best-practices. In future, we need to combine our forces and tackle these universal and common problems together by creating multi-national and multiinstitutional research projects. We need to create a community and a platform in which we can share these best practices and at the same time conduct multi-national research projects easily.

Verbal learning in mild cognitive impairment and alzheimer's disease : behavioural and neural approaches

The main focus of the present thesis was at verbal episodic memory processes that are particularly vulnerable to preclinical and clinical Alzheimer’s disease (AD). Here these processes were studied by a word learning paradigm, cutting across the domains of memory and language learning studies. Moreover, the differentiation between normal aging, mild cognitive impairment (MCI) and AD was studied by the cognitive screening test CERAD. In study I, the aim was to examine how patients with amnestic MCI differ from healthy controls in the different CERAD subtests. Also, the sensitivity and specificity of the CERAD screening test to MCI and AD was examined, as previous studies on the sensitivity and specificity of the CERAD have not included MCI patients. The results indicated that MCI is characterized by an encoding deficit, as shown by the overall worse performance on the CERAD Wordlist learning test compared with controls. As a screening test, CERAD was not very sensitive to MCI. In study II, verbal learning and forgetting in amnestic MCI, AD and healthy elderly controls was investigated with an experimental word learning paradigm, where names of 40 unfamiliar objects (mainly archaic tools) were trained with or without semantic support. The object names were trained during a 4-day long period and a follow-up was conducted one week, 4 weeks and 8 weeks after the training period. Manipulation of semantic support was included in the paradigm because it was hypothesized that semantic support might have some beneficial effects in the present learning task especially for the MCI group, as semantic memory is quite well preserved in MCI in contrast to episodic memory. We found that word learning was significantly impaired in MCI and AD patients, whereas forgetting patterns were similar across groups. Semantic support showed a beneficial effect on object name retrieval in the MCI group 8 weeks after training, indicating that the MCI patients’ preserved semantic memory abilities compensated for their impaired episodic memory. The MCI group performed equally well as the controls in the tasks tapping incidental learning and recognition memory, whereas the AD group showed impairment. Both the MCI and the AD group benefited less from phonological cueing than the controls. Our findings indicate that acquisition is compromised in both MCI and AD, whereas long13 term retention is not affected to the same extent. Incidental learning and recognition memory seem to be well preserved in MCI. In studies III and IV, the neural correlates of naming newly learned objects were examined in healthy elderly subjects and in amnestic MCI patients by means of positron emission tomography (PET) right after the training period. The naming of newly learned objects by healthy elderly subjects recruited a left-lateralized network, including frontotemporal regions and the cerebellum, which was more extensive than the one related to the naming of familiar objects (study III). Semantic support showed no effects on the PET results for the healthy subjects. The observed activation increases may reflect lexicalsemantic and lexical-phonological retrieval, as well as more general associative memory mechanisms. In study IV, compared to the controls, the MCI patients showed increased anterior cingulate activation when naming newly learned objects that had been learned without semantic support. This suggests a recruitment of additional executive and attentional resources in the MCI group.

Neural correlates of language learning in adults

The human language-learning ability persists throughout life, indicating considerable flexibility at the cognitive and neural level. This ability spans from expanding the vocabulary in the mother tongue to acquisition of a new language with its lexicon and grammar. The present thesis consists of five studies that tap both of these aspects of adult language learning by using magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) during language processing and language learning tasks. The thesis shows that learning novel phonological word forms, either in the native tongue or when exposed to a foreign phonology, activates the brain in similar ways. The results also show that novel native words readily become integrated in the mental lexicon. Several studies in the thesis highlight the left temporal cortex as an important brain region in learning and accessing phonological forms. Incidental learning of foreign phonological word forms was reflected in functionally distinct temporal lobe areas that, respectively, reflected short-term memory processes and more stable learning that persisted to the next day. In a study where explicitly trained items were tracked for ten months, it was found that enhanced naming-related temporal and frontal activation one week after learning was predictive of good long-term memory. The results suggest that memory maintenance is an active process that depends on mechanisms of reconsolidation, and that these process vary considerably between individuals. The thesis put special emphasis on studying language learning in the context of language production. The neural foundation of language production has been studied considerably less than that of perceptive language, especially on the sentence level. A well-known paradigm in language production studies is picture naming, also used as a clinical tool in neuropsychology. This thesis shows that accessing the meaning and phonological form of a depicted object are subserved by different neural implementations. Moreover, a comparison between action and object naming from identical images indicated that the grammatical class of the retrieved word (verb, noun) is less important than the visual content of the image. In the present thesis, the picture naming was further modified into a novel paradigm in order to probe sentence-level speech production in a newly learned miniature language. Neural activity related to grammatical processing did not differ between the novel language and the mother tongue, but stronger neural activation for the novel language was observed during the planning of the upcoming output, likely related to more demanding lexical retrieval and short-term memory. In sum, the thesis aimed at examining language learning by combining different linguistic domains, such as phonology, semantics, and grammar, in a dynamic description of language processing in the human brain.

Mental Well-being at Work. A Sign of a Healthy Organisation and a Necessary Precondition for Organisational Development

One of the aims of the study was to clarify the reliability and validity of the Job Diagnostic Survey (JDS) and the Eigenzustand (EZ) method as measures of the objective characteristics of work and short-term mental work load in the Finnish data. The reliability and validity were examined taking into consideration the theoretical backgrounds of the methods and the reliability of the measurements. The methods were used for finding out the preconditions for organisational development based on self-improvement and clarifying the impacts of working environment (organisational functioning and job characteristics) on a worker’s mental state and health. The influences were examined on a general level - regardless of individual personal or specific contextual factors. One aim was also to clarify how cognitions and emotions are intertwined and how they influence a person’s perception of the working environment. The data consisted of 15 blue-collar organisations in the public sector. The organisations were divided in target and comparison groups depending on the research frames. The data was collected by questionnaires by post. The exploratory and confirmatory factor analyses (Lisrel) were used as the main statistical methods in examining the structures of the methods and impacts between the variables. It was shown that it is possible for organisations to develop their working conditions themselves on specific preconditions. The advance of the development processes could be shown by the amount of the development activity as well as by the changes of the mental well-being (ability to act) and sick absenteeism of the personnel. It was found that the JDS and the EZ methods were reliable and valid measures in the Finnish data. It was shown that, in addition to the objective working environment (organisational functioning and job characteristics), also such a personal factor as selfesteem influences a person’s perception of mental work load. However, the influence did not seem to be direct. The importance of job satisfaction as a general indicator of perceived working conditions was emphasised. Emotional and cognitive factors were found to be functionally intertwined constituting a common factor. Organisational functioning and the characteristics of work had connections with a person’s health measured by sick absenteeism.

A Bayesian Approach for Forecasting Heat Load in a District Heating System

The growing population in cities increases the energy demand and affects the environment by increasing carbon emissions. Information and communications technology solutions which enable energy optimization are needed to address this growing energy demand in cities and to reduce carbon emissions. District heating systems optimize the energy production by reusing waste energy with combined heat and power plants. Forecasting the heat load demand in residential buildings assists in optimizing energy production and consumption in a district heating system. However, the presence of a large number of factors such as weather forecast, district heating operational parameters and user behavioural parameters, make heat load forecasting a challenging task. This thesis proposes a probabilistic machine learning model using a Naive Bayes classifier, to forecast the hourly heat load demand for three residential buildings in the city of Skellefteå, Sweden over a period of winter and spring seasons. The district heating data collected from the sensors equipped at the residential buildings in Skellefteå, is utilized to build the Bayesian network to forecast the heat load demand for horizons of 1, 2, 3, 6 and 24 hours. The proposed model is validated by using four cases to study the influence of various parameters on the heat load forecast by carrying out trace driven analysis in Weka and GeNIe. Results show that current heat load consumption and outdoor temperature forecast are the two parameters with most influence on the heat load forecast. The proposed model achieves average accuracies of 81.23 % and 76.74 % for a forecast horizon of 1 hour in the three buildings for winter and spring seasons respectively. The model also achieves an average accuracy of 77.97 % for three buildings across both seasons for the forecast horizon of 1 hour by utilizing only 10 % of the training data. The results indicate that even a simple model like Naive Bayes classifier can forecast the heat load demand by utilizing less training data.