The Value of Imperfection : the Wabi-Sabi Principle in Aesthetics and Learning

OER-based learning has the potential to overcome many shortcomings and problems of traditional education. It is not hampered by IP restrictions; can depend on collaborative, cumulative, iterative refinement of resources; and the digital form provides unprecedented flexibility with respect to configuration and delivery. The OER community is a progressive group of educators and learners with decades of learning research to draw from, who know that we must prepare learners for an evolving and diverse reality. Despite this OER tends to replicate the unsuccessful characteristics of traditional education. To remedy this we may need to remember the importance of imperfection, mistakes, problems, disagreement, and the incomplete for engaged learning, and relinquish our notions of perfection, acknowledging that learners learn differently and we need diverse learners. We must stretch our perceptions of quality and provide mechanisms for engaging the incredible pool of educators globally to fulfill the promise of inclusive education.

Evaluation of an online, case-based interactive approach to teaching pathophysiology

AIM: The aim of this study was to evaluate a new pedagogical approach in teaching fluid, electrolyte and acid-base pathophysiology in undergraduate students. METHODS: This approach comprises traditional lectures, the study of clinical cases on the web and a final interactive discussion of these cases in the classroom. When on the web, the students are asked to select laboratory tests that seem most appropriate to understand the pathophysiological condition underlying the clinical case. The percentage of students having chosen a given test is made available to the teacher who uses it in an interactive session to stimulate discussion with the whole class of students. The same teacher used the same case studies during 2 consecutive years during the third year of the curriculum. RESULTS: The majority of students answered the questions on the web as requested and evaluated positively their experience with this form of teaching and learning. CONCLUSIONS: Complementing traditional lectures with online case-based studies and interactive group discussions represents, therefore, a simple means to promote the learning and the understanding of complex pathophysiological mechanisms. This simple problem-based approach to teaching and learning may be implemented to cover all fields of medicine.

LdShake: learning design solutions sharing and co-edition

Two important challenges that teachers are currently facing are the sharing and the collaborative authoring of their learning design solutions, such as didactical units and learning materials. On the one hand, there are tools that can be used for the creation of design solutions and only some of them facilitate the co-edition. However, they do not incorporate mechanisms that support the sharing of the designs between teachers. On the other hand, there are tools that serve as repositories of educational resources but they do not enable the authoring of the designs. In this paper we present LdShake, a web tool whose novelty is focused on the combined support for the social sharing and co-edition of learning design solutions within communities of teachers. Teachers can create and share learning designs with other teachers using different access rights so that they can read, comment or co-edit the designs. Therefore, each design solution is associated to a group of teachers able to work on its definition, and another group that can only see the design. The tool is generic in that it allows the creation of designs based on any pedagogical approach. However, it can be particularized in instances providing pre-formatted designs structured according to a specific didactic method (such as Problem-Based Learning, PBL). A particularized LdShake instance has been used in the context of Human Biology studies where teams of teachers are required to work together in the design of PBL solutions. A controlled user study, that compares the use of a generic LdShake and a Moodle system, configured to enable the creation and sharing of designs, has been also carried out. The combined results of the real and controlled studies show that the social structure, and the commenting, co-edition and publishing features of LdShake provide a useful, effective and usable approach for facilitating teachers' teamwork.

Reusing IMS-LD formalized best practices in collaborative learning structuring

Designs of CSCL (Computer Supported Collaborative Learning)activities should be flexible, effective and customizable toparticular learning situations. On the other hand, structureddesigns aim to create favourable conditions for learning. Thus,this paper proposes the collection of representative and broadlyaccepted (best practices) structuring techniques in collaborative learning. With the aim of establishing a conceptual common ground among collaborative learning practitioners and softwaredevelopers, and reusing the expertise that best practicesrepresent, the paper also proposes the formulation of these techniques as patterns: the so-called CLFPs (CollaborativeLearning Flow Patterns). To formalize these patterns, we havechosen the educational modelling language IMS Learning Design (IMS-LD). IMS-LD has the capability to specify many of the collaborative characteristics of the CLFPs. Nevertheless, the language bears limited capability for describing the services that mediate interactions within a learning activity and the specification of temporal or rotated roles. This analysis isdiscussed in the paper, as well as our approaches towards thedevelopment of a system capable of integrating tools using IMSLDscripts and a CLFP-based Learning Design authoring tool.

Student modeling based on fuzzy inference mechanisms

The paper presents a competence-based instructional design system and a way to provide a personalization of navigation in the course content. The navigation aid tool builds on the competence graph and the student model, which includes the elements of uncertainty in the assessment of students. An individualized navigation graph is constructed for each student, suggesting the competences the student is more prepared to study. We use fuzzy set theory for dealing with uncertainty. The marks of the assessment tests are transformed into linguistic terms and used for assigning values to linguistic variables. For each competence, the level of difficulty and the level of knowing its prerequisites are calculated based on the assessment marks. Using these linguistic variables and approximate reasoning (fuzzy IF-THEN rules), a crisp category is assigned to each competence regarding its level of recommendation.

Teaching evidence-based management with a focus on producing local evidence

We present an approach to teaching evidence-based management (EBMgt) that trains future managers how to produce local evidence. Local evidence is causally interpretable data, collected on-site in companies to address a specific business problem. Our teaching method is a variant of problem-based learning, a method originally developed to teach evidence-based medicine. Following this method, students learn an evidence-based problem-solving cycle for addressing actual business cases. Executing this cycle, students use and produce scientific evidence through literature searches and the design of local, experimental tests of causal hypotheses. We argue the value of teaching EBMgt with a focus on producing local evidence, how it can be taught, and what can be taught. We conclude by outlining our contribution to the literature on teaching EBMgt and by discussing limitations of our approach.

L’Experimentació com a mètode de coneixement a l'escola primària : el cas de l'Arenal de Llevant

Aquest estudi consisteix en l’anàlisi de les practiques educatives que porta a terme una escola pública d’Educació Infantil i Primària, en relació a les estratègies d’ensenyament i aprenentatge de les ciències. Per aquest motiu, es presenta què proposa actualment la recerca educativa sobre l’ensenyament i aprenentatge de les ciències, la qual emfatitza en la necessitat de situar l’infant en el centre del seu procés educatiu, partint del seu coneixement intuïtiu, per tal que pensi, faci i comuniqui d’una manera similar a la que segueix la comunitat científica. Aquesta manera d’entendre l’educació científica és, segons els estudis actuals, condició sine qua non per a que l’alumne desenvolupi la competència científica, és a dir, aprengui ciència, aprenent com funciona la ciència i aprenent sobre la ciència. En base a aquesta teoria, s’han portat a terme observacions directes a diferents cursos, les quals s’han recollit en un diari d’observacions, per tractar d’analitzar com el centre escolar desenvolupa la pràctica educativa de les ciències en el seu dia a dia.

Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme

Recent experiments have established that information can be encoded in the spike times of neurons relative to the phase of a background oscillation in the local field potential—a phenomenon referred to as “phase-of-firing coding” (PoFC). These firing phase preferences could result from combining an oscillation in the input current with a stimulus-dependent static component that would produce the variations in preferred phase, but it remains unclear whether these phases are an epiphenomenon or really affect neuronal interactions—only then could they have a functional role. Here we show that PoFC has a major impact on downstream learning and decoding with the now well established spike timing-dependent plasticity (STDP). To be precise, we demonstrate with simulations how a single neuron equipped with STDP robustly detects a pattern of input currents automatically encoded in the phases of a subset of its afferents, and repeating at random intervals. Remarkably, learning is possible even when only a small fraction of the afferents (~10%) exhibits PoFC. The ability of STDP to detect repeating patterns had been noted before in continuous activity, but it turns out that oscillations greatly facilitate learning. A benchmark with more conventional rate-based codes demonstrates the superiority of oscillations and PoFC for both STDP-based learning and the speed of decoding: the oscillation partially formats the input spike times, so that they mainly depend on the current input currents, and can be efficiently learned by STDP and then recognized in just one oscillation cycle. This suggests a major functional role for oscillatory brain activity that has been widely reported experimentally.

Marketing education, distance learning and hypermedia : teaching 'current issues in marketing' in a virtual campus

This article reports on a project at the Universitat Oberta de Catalunya (UOC: The Open University of Catalonia, Barcelona) to develop an innovative package of hypermedia-based learning materials for a new course entitled 'Current Issues in Marketing'. The UOC is a distance university entirely based on a virtual campus. The learning materials project was undertaken in order to benefit from the advantages which new communication technologies offer to the teaching of marketing in distance education. The article reviews the main issues involved in incorporating new technologies in learning materials, the development of the learning materials, and their functioning within the hypermedia based virtual campus of the UOC. An empirical study is then carried out in order to evaluate the attitudes of students to the project. Finally, suggestions for improving similar projects in the future are put forward.

Improving Searching and Browsing Capabilities of Learning Object Repositories

Learning object repositories are a basic piece of virtual learning environments used for content management. Nevertheless, learning objects have special characteristics that make traditional solutions for content management ine ective. In particular, browsing and searching for learning objects cannot be based on the typical authoritative meta-data used for describing content, such as author, title or publicationdate, among others. We propose to build a social layer on top of a learning object repository, providing nal users with additional services fordescribing, rating and curating learning objects from a teaching perspective. All these interactions among users, services and resources can be captured and further analyzed, so both browsing and searching can be personalized according to user pro le and the educational context, helping users to nd the most valuable resources for their learning process. In this paper we propose to use reputation schemes and collaborative filtering techniques for improving the user interface of a DSpace based learning object repository.

Tutkimus- ja kehitysyhteistyön motiivit

Pro gradu -tutkielman tavoitteena on operationalisoida T&K- yhteistyön prosessimaista luonnetta, eli tarkemmin sanottuna analysoida T&K-yhteistyösuhteidenmuodostumista ja motiiveja. Tutkielman hypoteesit muodostettiin analysoimalla yrityksen teknologiastrategiaan perustuvia uuden tiedon tuonnin ja olemassa olevan tiedon hyväksikäytön oppimistavoitteita. Motivaatio T&K- yhteistyölle syntyy mahdollisuudesta T&K- projektien riskien jakamiseen. T&K- yhteistyön motiiveja analysoitiin transaktio- ja byrokratiahyötyjen, jotka pohjautuvat mittakaava- ja synergiaeduille, lähteitä arvioiden. Hypoteeseja testattiin 276 suomalaisen teollisuusyrityksen otoksella. Otoksen yrityksillä oliollut T&K- toimintaa. Otos perustuu kyselyyn, joka toteutettiin Lappeenrannan teknillisen yliopiston kauppatieteiden osastolla vuonna 2004. Hypoteeseja testattiin tilastollisilla menetelmillä; lineaarisella regressioanalyysillä, parillisten ja riippumattomien otosten t-testeillä. Validiteetti- ja multikollineaarisuusongelman todennäköisyydet on huomioitu. Hypoteesit vahvistuivat osittain. Teknologisella epävarmuudella ja monimutkaisuudella ei ole suoraa vaikutusta T&K- yhteistyön intensiivisyyteen. Teknologisella epävarmuudella on osittainen vaikutus teknologiastrategian valintaan. Yrityksen transaktio- ja byrokratiahyödyt riippuvat teknologisista kyvykkyyksistä. Vain korkean teknologian alan yritykset saavuttavat hyötyjä myös intensiivisesti T&K- yhteistyösuhteita koordinoimalla. Teknologiaintensiivisyyteen perustuvien erot perustuvat teknologisen tiedon luonteeseen toimialalla. Transaktiokustannusteorian mukainenkustannusten minimointi ja kompetenssiperusteisten teorioiden mukainen strategisointi selittävät komplementaarisesti T&K-yhteistyösuhteiden muodostumista ja yrityksen rajojen määräytymistä.

Organisaation asiakkuusosaamisen hallinta

Tutkielmassa tutkittiin organisaation asiakkuusosaamista suomalaisessa erikoistavarakaupassa. Tutkielman tärkeimpänä tavoitteena oli selvittää,mitä asiakkuusosaamisen hallinta on? Tutkimuksen tavoitteena oli myös luoda tutkimuksen case organisaatiolle asiakkuusosaamisen hallinnan malli. Tutkimuksen teoreettisessa osassa yhdistettiin sekä asiakaslähtöisen organisaation (customer orientation) että osaamisen johtamisen (competence-based management) keskustelujen piirissä syntyneitä teorioita ja malleja. Tutkimuksen teoreettisen viitekehyksen perusteella asiakkuusosaaminen koostuu asiakasorientaatiosta, asiakaskonfiguraatiosta ja asiakasinformaatiosta.Asiakkuusosaamisen hallinta puolestaan muodostuu asiakkuusosaamisen hyödyntämisestä, mittaamisesta ja rakentamisesta. Empiirinen tutkimus toteutettiin kvalitatiivisella teemahaastattelumenetelmällä. Tutkimuksen empiirisen osan tavoitteena oli selvittää kohdeorganisaation asiakkuusosaamisen tilaa ja käytössä olevia asiakkuusosaamisen hallinnan menetelmiä. Näistä menetelmistä keskeisimmät olivat asiakkuusosaamisen rakentamisen osalta ihmisten jatkuva kouluttaminen ja työssäoppiminen ja asiakkuusosaamisen hyödyntämisen osalta esimiestyön kehittäminen ja projektiorganisaation käyttäminen. Empiirisen tutkimuksen ja teoreettisen viitekehyksen avulla tutkimuksen case-organisaatiolle luotiin asiakkuusosaamisen hallinnan malli, jonka lähtökohtana on yrityksen asiakkuusstrategiat. Tämä malli koostuu organisaation systeemisestä kehittämisestä, asiakkuusprosessin kehittämisestä ja asiakkuusosaamisen hyödyntämisestä, mittaamisesta ja rakentamisesta osana käytännön työtä.

Digitaalinen osaamisen kehittäminen osana henkilöstökoulutusta

Tieto- ja viestintätekniikan kehittyminen on muuttanut työn luonnetta monella tavalla ja työelämän jatkuva muutos ja joustavuuteen pyrkiminen edellyttävät uusien tietojen ja taitojen hankkimista. Verkko-opetus, verkko-opiskelu ja verkko-oppiminen näyttävät tarjoavat uusia ulottuvuuksia henkilöstökoulutukseen. Tämän diplomityön tarkoituksena on tutkia voidaanko digitaalisella osaamisen kehittämisellä tukea yrityksen henkilöstökoulutusta ja henkilöstöä opiskelussa ja oppimisessa? Osaaminen on strateginen kysymys ja sen kehittämisessä pyritään yrityksissä aiempaa pitkäjänteisempään ja kokonaisvaltaisempaan toimintatapaan. Digitaalinen osaamisen kehittäminen oikein toteutettuna näyttää vahvistavan henkilöstön osaamistasoa. Tekniset apuvälineet eivät ehkä koskaan tule korvaamaan kokemusta ja työssä oppimista, silti ne näyttävät helpottavat tiedonkulkua ja ovat apuna osaamisen kehittämisessä. Kuvitelma verkko-opintojen helppoudesta, täysin ajasta ja paikasta riippumattomana, sekä itsenäisestä opiskelusta on harhaa. Verkkokoulutuksen suurena haasteena on sen soveltaminen järkevällä tavalla organisaation toimintakulttuuriin ja toimintatapoihin. Ajanoloon verkko-opiskelu saattaa muuttua osaksi työtä, mutta asenteiden muokkaamisessa on vielä paljon tekemistä. Yritysten johdon tulee näyttää tietä ja toimia esimerkkinä uusien toimintatapojen käyttöönotossa.

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.

Metadata for describing learning scenarios under European Higher Education Area paradigm

In this paper we identify the requirements for creating formal descriptions of learning scenarios designed under the European HigherEducation Area paradigm, using competences and learning activities as the basic pieces of the learning process, instead of contents and learning resources, pursuing personalization. Classical arrangements of content based courses are no longer enough to describe all the richness of this new learning process, where user profiles, competences and complex hierarchical itineraries need to be properly combined. We study the intersection with the current IMS Learning Design specification and theadditional metadata required for describing such learning scenarios. This new approach involves the use of case based learning and collaborativelearning in order to acquire and develop competences, following adaptive learning paths in two structured levels.