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.

Learning Preferences with Kernel-Based Methods

Learning of preference relations has recently received significant attention in machine learning community. It is closely related to the classification and regression analysis and can be reduced to these tasks. However, preference learning involves prediction of ordering of the data points rather than prediction of a single numerical value as in case of regression or a class label as in case of classification. Therefore, studying preference relations within a separate framework facilitates not only better theoretical understanding of the problem, but also motivates development of the efficient algorithms for the task. Preference learning has many applications in domains such as information retrieval, bioinformatics, natural language processing, etc. For example, algorithms that learn to rank are frequently used in search engines for ordering documents retrieved by the query. Preference learning methods have been also applied to collaborative filtering problems for predicting individual customer choices from the vast amount of user generated feedback. In this thesis we propose several algorithms for learning preference relations. These algorithms stem from well founded and robust class of regularized least-squares methods and have many attractive computational properties. In order to improve the performance of our methods, we introduce several non-linear kernel functions. Thus, contribution of this thesis is twofold: kernel functions for structured data that are used to take advantage of various non-vectorial data representations and the preference learning algorithms that are suitable for different tasks, namely efficient learning of preference relations, learning with large amount of training data, and semi-supervised preference learning. Proposed kernel-based algorithms and kernels are applied to the parse ranking task in natural language processing, document ranking in information retrieval, and remote homology detection in bioinformatics domain. Training of kernel-based ranking algorithms can be infeasible when the size of the training set is large. This problem is addressed by proposing a preference learning algorithm whose computation complexity scales linearly with the number of training data points. We also introduce sparse approximation of the algorithm that can be efficiently trained with large amount of data. For situations when small amount of labeled data but a large amount of unlabeled data is available, we propose a co-regularized preference learning algorithm. To conclude, the methods presented in this thesis address not only the problem of the efficient training of the algorithms but also fast regularization parameter selection, multiple output prediction, and cross-validation. Furthermore, proposed algorithms lead to notably better performance in many preference learning tasks considered.

Employees’ continuous learning and job satisfaction - effects on productivity

In today’s knowledge intense economy the human capital is a source for competitive advantage for organizations. Continuous learning and sharing the knowledge within the organization are important to enhance and utilize this human capital in order to maximize the productivity. The new generation with different views and expectations of work is coming to work life giving its own characteristics on learning and sharing. Work should offer satisfaction so that the new generation employees would commit to organizations. At the same time organizations have to be able to focus on productivity to survive in the competitive market. The objective of this thesis is to construct a theory based framework of productivity, continuous learning and job satisfaction and further examine this framework and its applications in a global organization operating in process industry. Suggestions for future actions are presented for this case organization. The research is a qualitative case study and the empiric material was gathered by personal interviews concluding 15 employee and one supervisor interview. Results showed that more face to face interaction is needed between employees for learning because much of the knowledge of the process is tacit and so difficult to share in other ways. Offering these sharing possibilities can also impact positively to job satisfaction because they will increase the sense of community among employees which was found to be lacking. New employees demand more feedback to improve their learning and confidence. According to the literature continuous learning and job satisfaction have a relative strong relationship on productivity. The employee’s job description in the case organization has moved towards knowledge work due to continuous automation and expansion of the production process. This emphasizes the importance of continuous learning and means that productivity can be seen also from quality perspective. The normal productivity output in the case organization is stable and by focusing on the quality of work by improving continuous learning and job satisfaction the upsets in production can be handled and prevented more effectively. Continuous learning increases also the free human capital input and utilization of it and this can breed output increasing innovations that can increase productivity in long term. Also job satisfaction can increase productivity output in the end because employees will work more efficiently, not doing only the minimum tasks required. Satisfied employees are also found participating more in learning activities.

A multimethod examination of contributors to successful on-the-job learning for vocational students

Rapid changes in working life and competence requirements of different professions have increased interest in workplace learning. It is considered an effective way to learn and update professional skills by performing daily tasks in an authentic environment. Especially, ensuring a supply of skilled future workers is a crucial issue for firms facing tight competition and a shortage of competent employees due to the retirement of current professionals. In order to develop and make the most of workplace learning, it is important to focus on workplace learning environments and the individual characteristics of those participating in workplace learning. The literature has suggested various factors that influence adults' and professionals’ workplace learning of profession-related skills, but lacks empirical studies on contextual and individual-related factors that positively affect students' workplace learning. Workers with vocational education form a large group in modern firms. Therefore, elements of vocational students’ successful workplace learning during their studies, before starting their career paths, need to be examined. To fill this gap in the literature, this dissertation examines contributors to vocational students’ workplace learning in Finland, where students’ workplace learning is included in the vocational education and training system. The study is divided into two parts: the introduction, comprised of the overview of the relevant literature and the conclusion of the entire study, and five separate articles. Three of the articles utilize quantitative methods and two use qualitative methods to examine factors that contribute to vocational students’ workplace learning. The results show that, from the students’ perspective, attitudinal, motivational, and organizationrelated factors enhance the student’s development of professionalism during the on-the-job learning period. Specifically, the organization-related factors such as innovative climate, guidance, and interactions with seniors have a strong positive impact on the students’ perceived development of professional skills because, for example, the seniors’ guidance and provision of new viewpoints for the tasks helps the vocational students to gain autonomy at work performance. A multilevel analysis shows that of those factors enhancing workplace learning from the student perspective, innovative climate, knowledge transfer accuracy, and the students’ performance orientation were significantly related to the workplace instructors’ assessment regarding the students’ professional performance. Furthermore, support from senior colleagues and the students’ self-efficacy were both significantly associated with the formal grades measuring how well the students managed to learn necessary professional skills. In addition, the results suggest that the students’ on-the-job learning can be divided into three main phases, of which two require efforts from both the student and the on-the-job learning organization. The first phase includes the student’s application of basic professional skills, demonstration of potential in performing daily tasks, and orientation provided by the organization at the beginning of the on-the-job learning period. In the second phase, the student actively develops profession-related skills by performing daily tasks, thus learning a fluent working style while observing the seniors’ performance. The organization offers relevant tasks and follows the student’s development. The third level indicates a student who has reached the professional level described as a full occupation. The results suggest that constructing the vocational students’ successful on-the-job learning period requires feedback from seniors, opportunities to learn to manage entire work processes, self-efficacy on the part of the students, proactive behavior, and initiative in learning. The study contributes to research on workplace learning in three ways: firstly, it identifies the key individual- and organization-based factors that influence the vocational students’ successful on-the-job learning from their perspective and examines mutual relationships between these factors. Second, the study provides knowledge of how the factors related to the students’ view of successful workplace learning are associated with the workplace instructors’ perspective and the formal grades. Third, the present study finds elements needed to construct a successful on-the-job learning for the students.

New kernel functions and learning methods for text and data mining

Recent advances in machine learning methods enable increasingly the automatic construction of various types of computer assisted methods that have been difficult or laborious to program by human experts. The tasks for which this kind of tools are needed arise in many areas, here especially in the fields of bioinformatics and natural language processing. The machine learning methods may not work satisfactorily if they are not appropriately tailored to the task in question. However, their learning performance can often be improved by taking advantage of deeper insight of the application domain or the learning problem at hand. This thesis considers developing kernel-based learning algorithms incorporating this kind of prior knowledge of the task in question in an advantageous way. Moreover, computationally efficient algorithms for training the learning machines for specific tasks are presented. In the context of kernel-based learning methods, the incorporation of prior knowledge is often done by designing appropriate kernel functions. Another well-known way is to develop cost functions that fit to the task under consideration. For disambiguation tasks in natural language, we develop kernel functions that take account of the positional information and the mutual similarities of words. It is shown that the use of this information significantly improves the disambiguation performance of the learning machine. Further, we design a new cost function that is better suitable for the task of information retrieval and for more general ranking problems than the cost functions designed for regression and classification. We also consider other applications of the kernel-based learning algorithms such as text categorization, and pattern recognition in differential display. We develop computationally efficient algorithms for training the considered learning machines with the proposed kernel functions. We also design a fast cross-validation algorithm for regularized least-squares type of learning algorithm. Further, an efficient version of the regularized least-squares algorithm that can be used together with the new cost function for preference learning and ranking tasks is proposed. In summary, we demonstrate that the incorporation of prior knowledge is possible and beneficial, and novel advanced kernels and cost functions can be used in algorithms efficiently.

Yrittäjien oppiminen ja verkostoituminen Voimaverkko- projektissa

Tämän tutkimuksen tarkoituksena oli kuvata pienyrittäjien verkostoitumista ja oppimista ohjatussa verkostoitumisprojektissa. Tutkimuskohteena on Voimaverkko-projekti. Case-projekti on Kiipulan ammattiopistossa toteutettu ESR-rahoitteinen kehittämisprojekti. Projektissa on ollut mukana 47 yrittäjää Kanta-Hämeen alueelta. Tutkimus on laadullinen tutkimus, jonka empiirinen osuus on kerätty kolmella menetelmällä. Projektiin osallistujat vastasivat kyselylomakkeisiin. Toisena menetelmänä käytettiin henkilökohtaisia teemahaastatteluja ja kolmantena palauteillan ryhmätyöskentelyä. Yrittäjien verkosto-osaaminen lisääntyi: yrittäjien välille syntyi sosiaalisia verkostoja ja liiketoiminnallista yhteistyötä. Projektin aikana yrittäjät oppivat uusia työskentelytapoja ja taitoja. Projekti auttoi yrittäjiä löytämään keinoja oman hyvinvoinnin parantamiseksi. Aineiston avulla on koottu yhteenveto ja tehty johtopäätöksiä, joita voidaan käyttää hyödyksi uusia projekteja kehitettäessä. Johtopäätöksissä esitetään kehittämisideoita mahdolliselle jatkohankkeelle.

Improving Evaluation and Development Capability in Verification and Validation

Validation and verification operations encounter various challenges in product development process. Requirements for increasing the development cycle pace set new requests for component development process. Verification and validation usually represent the largest activities, up to 40 50 % of R&D resources utilized. This research studies validation and verification as part of case company's component development process. The target is to define framework that can be used in improvement of the validation and verification capability evaluation and development in display module development projects. Validation and verification definition and background is studied in this research. Additionally, theories such as project management, system, organisational learning and causality is studied. Framework and key findings of this research are presented. Feedback system according of the framework is defined and implemented to the case company. This research is divided to the theory and empirical parts. Theory part is conducted in literature review. Empirical part is done in case study. Constructive methode and design research methode are used in this research A framework for capability evaluation and development was defined and developed as result of this research. Key findings of this study were that double loop learning approach with validation and verification V+ model enables defining a feedback reporting solution. Additional results, some minor changes in validation and verification process were proposed. There are a few concerns expressed on the results on validity and reliability of this study. The most important one was the selected research method and the selected model itself. The final state can be normative, the researcher may set study results before the actual study and in the initial state, the researcher may describe expectations for the study. Finally reliability of this study, and validity of this work are studied.

Conference Proceedings. Academic Mobility Blending Perspectives - Mobilité Académique Perspectives croisées

Les 21, 22 et 23 septembre 2006, le Département d’Études Françaises de l’Université de Turku (Finlande) a organisé une conférence internationale et bilingue (anglais et français) sur le thème de la mobilité académique ; le but de cette rencontre était de rendre possible la tenue d’un forum international et multidisciplinaire, susceptible d’être le siège de divers débats entre les différents acteurs de la mobilité académique (c’estàdire des étudiants, des chercheurs, des personnels enseignants et administratifs, etc.). Ainsi, ont été mis à contribution plus de cinquante intervenants, (tous issus de domaines aussi variés que la linguistique, les sciences de l’éducation, la didactique, l’anthropologie, la sociologie, la psychologie, l’histoire, la géographie, etc.) ainsi que cinq intervenants renommés1. La plupart des thèmes traités durant la conférence couvraient les champs suivants : l’organisation de la mobilité, les obstacles rencontrés par les candidats à la mobilité, l’intégration des étudiants en situation d’échange, le développement des programmes d’études, la mobilité virtuelle, l’apprentissage et l’enseignement des langues, la prise de cosncience interculturelle, le développement des compétences, la perception du système de mobilité académique et ses impacts sur la mobilité effective. L’intérêt du travail réalisé durant la conférence réside notamment dans le fait qu’il ne concentre pas uniquement des perspectives d’étudiants internationaux et en situation d’échange (comme c’est le cas de la plupart des travaux de recherche déjà menés sur ce sujet), mais aussi ceux d’autres corps : enseignants, chercheurs, etc. La contribution suivante contient un premier corpus de dixsept articles, répartis en trois sections : 1. Impacts de la mobilité étudiante ; 2. Formation en langues ; 3. Amélioration de la mobilité académique. À l’image de la conférence, la production qui suit est bilingue : huit des articles sont rédigés en français, et les neuf autres en anglais. Certains auteurs n’ont pas pu assister à la conférence mais ont tout de même souhaité apparaître dans cet ouvrage. Dans la première section de l’ouvrage, Sandrine Billaud tâche de mettre à jour les principaux obstacles à la mobilité étudiante en France (logement, organisation des universités, démarches administratives), et propose à ce sujet quelques pistes d’amélioration. Vient ensuite un article de Dominique Ulma, laquelle se penche sur la mobilité académique régnant au sein des Instituts Universitaires de Formation des Maîtres (IUFM) ; elle s’est tout particulièrement concentrée sur l’enthousiasme des stagiaires visàvis de la mobilité, et sur les bénéfices qu’apporte la mobilité Erasmus à ce type précis d’étudiant. Ensuite, dans un troisième article, Magali Hardoin s’interroge sur les potentialités éducationnelles de la mobilité des enseignantsstagiaires, et tâche de définir l’impact de celleci sur la construction de leur profil professionnel. Après cela arrive un groupe de trois articles, tous réalisés à bases d’observations faites dans l’enseignement supérieur espagnol, et qui traitent respectivement de la portée qu’a le programme de triple formation en langues européennes appliquées pour les étudiants en mobilité (Marián MorónMartín), des conséquences qu’occasionne la présence d’étudiants étrangers dans les classes de traductions (Dimitra Tsokaktsidu), et des réalités de l’intégration sur un campus espagnol d’étudiants américains en situation d’échange (Guadalupe Soriano Barabino). Le dernier article de la section, issu d’une étude sur la situation dans les institutions japonaises, fait état de la situation des programmes de doubles diplômes existant entre des établissements japonais et étrangers, et tente de voir quel est l’impact exact de tels programmes pour les institutions japonaises (Mihoko Teshigawara, Riichi Murakami and Yoneo Yano). La seconde section est elle consacrée à la relation entre apprentissage et enseignement des langues et mobilité académique. Dans un premier article, Martine Eisenbeis s’intéresse à des modules multimédia réalisés à base du film « L’auberge espagnole », de Cédric Klapish (2001), et destinés aux étudiants en mobilité désireux d’apprendre et/ou améliorer leur français par des méthodes moins classiques. Viennent ensuite les articles de Jeanine Gerbault et Sabine Ylönen, lesquels traitent d’un projet européen visant à supporter la mobilité étudiante par la création d’un programme multimédia de formation linguistique et culturelle pour les étudiants en situation de mobilité (le nom du projet est EUROMOBIL). Ensuite, un article de Pascal Schaller s’intéresse aux différents types d’activités que les étudiants en séjour à l’étranger expérimentent dans le cadre de leur formation en langue. Enfin, la section s’achève avec une contribution de Patricia KohlerBally, consacrée à un programme bilingue coordonné par l’Université de Fribourg (Suisse). La troisième et dernière section propose quelques pistes de réflexion destinées à améliorer la mobilité académique des étudiants et des enseignants ; dans ce cadre seront donc évoquées les questions de l’égalité face à la mobilité étudiante, de la préparation nécessitée par celleci, et de la prise de conscience interculturelle. Dans un premier chapitre, Javier Mato et Bego

Tavoitteena strateginen kumppanuus. Case: Työkalun kehittäminen hankintatoimen johtamisen arvioimiseen

Diplomityön aiheena ovat hankintatoimen strateginen johtaminen ja toimittajasuhteiden hallinta pk-yrityksen näkökulmasta. Tutkimuksessa selvitettiin hankintatoimen merkitystä yrityksen strategisena kilpailutekijänä. Tutkimus määrittelee toimittajien yhteistyön periaatteet ja strategisen kumppanuuden lähtökohdat. Työn teoriaosuudessa selvitetään perusteet hankintastrategian määrittämiseksi. Hankintojen luokittelun perusteella tehtävät toimittajastrategiat ovat lähtökohtina toimittajasuhteiden kehittämiselle ja kumppanuudelle. Arviointimenetelmistä työssä esitellään EFQM-malli, erityisesti hankintatoimen näkökulmasta katsottuna. Tutkimuksen empiirisessä osuudessa kehitetään uusi arviointimenetelmä hankintatoimen johtamisen kartoittamiseen. Itsearvioinnin perusteella yritys saa kokonaiskuvan strategisen hankintatoimensa nykytilasta ja tärkeimmistä kehityskohteista.

International Partnering strategy for e-learning provider in emerging economies: Evidence from East Africa learning institutions

International partnership has received growing interest in the literature during the past decades due to globalization, increased technological approaches and rapid changes in competitive environments. The study specifically determines the support provided by international partners on promotion of e-learning in East Africa, assess the motives of partner selection criteria, the determinants of selecting partners, partner models and partner competence of e-learning provider. The study also evaluates obstacles of e-learning partnering strategy in East Africa learning institutions. The research adopts a descriptive survey design. Target population involved East Africa learning institutions with a list of potential institutions generated from the Ministry of Higher Education database. Through a targeted reduction of the initial database, consisting of all learning institutions, both public and private, the study created a target sample base of 200 learning institutions. Structured questionnaires scheduled were used to collect primary data. Study findings showed the approach way East African communities in selecting their e-learning partners depend on international reputation of partners, partner with ability to negotiate with foreign governments, partner with international and local experiences, nationality of foreign partner and partners with local market knowledge.

The role of organization-level factors on informal learning process

This study discusses the nature of informal learning process in business organizations, and the importance of different organization-level factors in this process. The purpose of this study is to understand the role of organization-level factors on informal learning process with three subquestions: how informal learning process takes place in business organizations, what organization-level factors affects informal learning process, and how informal learning process is affected by organizational-level factors. The theoretical background of this study includes literatures on the concept of informal learning, its process, and organization-level factors that can affect informal learning process. The empirical research has been conducted in this study by face-to-face interviews. The interviews were conducted between June and August 2015 in Dhaka, Bangladesh. Thirteen interviews were made with the employees from different hierarchical levels from four freight forwarding MNCs in Bangladesh. Constant comparative analysis has been used to process the collected data until reaching a level of saturation. The empirical research found that all the phases in an informal learning process are not linear and sequential, and the role of organization-level factors on each phase varies with the degree and nature of each factor. In addition, the results also revealed that all the organization-level factors do not interact with each other while playing their role on informal learning process. The findings of this study considerably extend our understanding of the important role of HRD, manager, colleague, culture, and work structure on informal learning process in the workplace. However, future research in different organizational contexts is required to generalize the findings of this study.

The role of organization-level factors on informal learning process

This study discusses the nature of informal learning process in business organizations, and the importance of different organization-level factors in this process. The purpose of this study is to understand the role of organization-level factors on informal learning process with three subquestions: how informal learning process takes place in business organizations, what organizationlevel factors affects informal learning process, and how informal learning process is affected by organizational-level factors. The theoretical background of this study includes literatures on the concept of informal learning, its process, and organization-level factors that can affect informal learning process. The empirical research has been conducted in this study by face-to-face interviews. The interviews were conducted between June and August 2015 in Dhaka, Bangladesh. Thirteen interviews were made with the employees from different hierarchical levels from four freight forwarding MNCs in Bangladesh. Constant comparative analysis has been used to process the collected data until reaching a level of saturation. The empirical research found that all the phases in an informal learning process are not linear and sequential, and the role of organization-level factors on each phase varies with the degree and nature of each factor. In addition, the results also revealed that all the organization-level factors do not interact with each other while playing their role on informal learning process. The findings of this study considerably extend our understanding of the important role of HRD, manager, colleague, culture, and work structure on informal learning process in the workplace. However, future research in different organizational contexts is required to generalize the findings of this study.

Sisäilma- ja kosteusteknisten asantuntijapalvelujen käyttö rakennuttamisprosessissa

Tämä insinöörityö tehtiin HKR-Rakennuttajan Taloteknisen toimiston Kiinteistöjen elinkaaripalvelut- yksikölle. Työ on osa HKR-Rakennuttajan laatujärjestelmän uudistusta ja selkeytystä. Tavoitteena oli selvittää millaisiin asioihin tulisi kiinnittää huomiota kosteusteknisessä mielessä HKR-Rakennuttajan hankkeissa. Samoin Kiinteistöjen elinkaaripalvelut -yksikön asiantuntijapalveluiden käyttö rakennuttamisprosessissa ei ollut selvästi dokumentoituna HKR-Rakennuttajan laatujärjestelmään, joten tähän pyrittiin saamaan selkeytys. Lisäksi käynnissä on kuntotutkimustoiminnan uudistus, jossa kosteusteknisten asiantuntijapalvelujen konsulttitoiminnan käytössä tapahtuu muutoksia. Omalta osaltaan tämä insinöörityö pyrki selvittämään konsultin toimia hankkeen eri vaiheissa. Insinöörityössä kartoitettiin yksikön omat toimintakuvaukset kosteus- ja sisäilmateknisissä asioissa. Tämän jälkeen käydään läpi kaksi eri HKR-Rakennuttajan kohdetta, jossa oli kosteusteknisesti ongelmia. Kohteet valittiin ohjaajien toimesta, sillä näin saatiin esille työn kannalta oleellisia puutteita. Lisäksi kartoitettiin HKR-Rakennuttajan hankkeiden eri vaiheissa eri osapuolien tehtävät kosteus- ja sisäilmatekniseltä kannalta. Kartoitusten ja toimintakuvausten perusteella tehtiin ohje, joka liitettiin HKR-Rakennuttajan laatujärjestelmään. Lisäksi tehtiin urakkarajaliitteeseen velvoite, jossa määritellään kosteudenhallintasuunnitelman sisältö. Tietolähteinä tässä insinöörityössä oli alan kirjallisuus, HKR-Rakennuttajan Taloteknisen toimiston henkilökunnalta saatu suullinen informaatio ja internet.

Elinikäinen oppiminen ja matalasti koulutetut

Summary: Participation of low-skilled groups in learning activities

Turvallisuusosaamisen varmistaminen verkko-oppimistyökalun avulla metsäteollisuusyrityksessä

Diplomityön tavoitteena oli kehittää UPM-Kymmene Oyj:n turvallisuuskoulutukseen verkko-oppimistyökalu, jolla voitaisiin tehostaa yrityksen turvallisuuskoulutusta, ja näin parantamaan turvallisuusosaamista, ja sitä kautta vähentää tapaturmia ja sairaspoissaoloja. Työ toteutettiin pilottiprojektina UPM:n Kymin sellutehtaalla Kuusankoskella. Työtä lähestyttiinhuomioimalla mahdollisimman monipuolisesti ne eri osa alueet, jotka turvallisuuden verkko-oppimishankkeeseen liittyivät. Samalla selvitettiin verkko-oppimiseen liittyviä vahvuuksia ja heikkouksia sekä keinot vahvuuksien hyödyntämiseen ja heikkouksien välttämiseen. Teoreettisessa tarkastelussa painotettiin aikuisdidaktisia lähestymistapoja, järjestelmän käytettävyyttä sekä e-oppimismenetelmien erityispiirteitä. Työn tuloksena saatiin kehitettyä verkko-oppimisympäristö oppimateriaaleineen, joka on laajennettavissa muihin yksiköissä sekä kehitettävissä edelleen. Lisäksi saatiin tutkimustuloksia ja kokemuksia, joita voidaan hyödyntää hankkeen jatkokehityksessä.