The practical application of e-Portfolio at the Open University of Catalonia : assessment of competence based learning

The paper presents the results of the piloting or pilot test in a virtual classroom. This e-portfolio was carried out in the 2005-2006 academic year, with students of the Doctorate in Information Society, at the Open University of Catalonia. The electronic portfolio is a strategy for competence based assessment. This experience shows the types of e-portfolios, where students show their work without interactions, and apply the competence-based learning theories in an interactive portfolio system. The real process of learning is developed in the competency based system, the portfolio not only is a basic bio document, has become a real space for learning with competence model. The paper brings out new ideas and possibilities: the competence-based learning promotes closer relationships between universities and companies and redesigns the pedagogic act.

The development and evaluation of a distance learning system in ophthalmology

INTRODUCTION: Web-based e-learning is a teaching tool increasingly used in many medical schools and specialist fields, including ophthalmology. AIMS: this pilot study aimed to develop internet-based course-based clinical cases and to evaluate the effectiveness of this method within a graduate medical education group. METHODS: this was an interventional randomized study. First, a website was built using a distance learning platform. Sixteen first-year ophthalmology residents were then divided into two randomized groups: one experimental group, which was submitted to the intervention (use of the e-learning site) and another control group, which was not submitted to the intervention. The students answered a printed clinical case and their scores were compared. RESULTS: there was no statistically significant difference between the groups. CONCLUSION: We were able to successfully develop the e-learning site and the respective clinical cases. Despite the fact that there was no statistically significant difference between the access and the non access group, the study was a pioneer in our department, since a clinical case online program had never previously been developed.

Consumer perceptions on a content-based digital service:the usage and service quality of Masennusinfo.fi

Kuluttajat käyttävät sisältöpohjaisia digitaalisia palveluita jatkuvasti saadakseen lisää tietoa terveydestään. Samalla he arvioivat käyttämiensä palveluiden laatua. Jotta yritykset voisivat suunnitella ja tarjota parhaita mahdollisia digitaalisia palveluita kuluttajille, yritysten tulisi tunnistaa ja analysoida kuluttajien kokemuksia ja käyttötarkoituksia heidän palveluissaan. Tämän tutkimuksen tarkoituksena on kuvailla kuluttajien näkemyksiä Masennusinfo.fi:stä, joka on sisältöpohjainen digitaalinen palvelu, ja joka tarjoaa käyttäjilleen tietoa masennuksesta. Päämääränä on selvittää, kuinka kuluttajat kokevat lääkeyrityksen tarjoaman palvelun laadun ja mihin tarkoituksiin sitä käytetään. Tutkimuksen tarkoitus voidaan jakaa kolmeen osa-ongelmaan: Mihin tarkoituksiin kuluttajat käyttävät sisältöpohjaisia digitaalisia palveluita? Miten kuluttajat kokevat näiden palveluiden laadun? Kuinka käyttötarkoitus ja koettu laatu eroavat eri käyttäjäryhmissä? Tutkimus toteutetaan web-pohjaisella kyselytutkimuksella. Mittarit tehdään teoreettisen viitekehyksen pohjalta, joka perustuu aikaisempaan tutkimukseen. Tutkimuksen empiirinen osuus suoritetaan pop-up tutkimuksella, joka sijoitetaan tutkittavalle sivustolle antaen näin kaikille palvelun käyttäjille mahdollisuuden vastata kyselyyn. Tulokset osoittavat, että palvelua käyttävät suurimmaksi osaksi naiset, suhteellisen nuoret 16−29- vuotiaat, tai yli keski-ikäiset 50−65-vuotiaat henkilöt, jotka ovat joko työssäkäyviä tai opiskelijoita ja korkeasti koulutettuja. Masennusinfo.fi nähdään laadukkaana palveluna kaikissa käyttäjäryhmissä sekä sen käytettävyyden että sisällön perusteella. Käyttötarkoituksetkin ovat jokseenkin samankaltaisia eri käyttäjäryhmissä. Yleensä palvelua käytetään tiedon hakemiseen sairauden alkuvaiheessa. Löydöksien perusteella esitetään, että palvelua muokataan vastaamaan yhä paremmin sen käyttötarkoituksia ja tyypillistä käyttäjäprofiilia. Koska muutamia pieniä eroja käyttäjäryhmien näkemyksissä havaittiin, palveluiden tuottaja päättää, minkä ryhmän mieltymyksiä se noudattaa.

Investigating Changes in Parent Knowledge about Obsessive Compulsive Behaviour Following Group Function-Based Cognitive Behavioural Therapy for Children with High Functioning Autism

This study investigated improvements in parent knowledge of effective intervention strategies following participation in a group function-based CBT treatment (GFbCBT) package for children with comorbid OCD and ASD. Nineteen parents of children ages 7-12 years with High Functioning Autism (HFA) participated in the 9-week treatment program. Key components of treatment included psychoeducation and mapping, cognitive-behavioural skills training, function-based interventions and exposure and response prevention (ERP). Treatment sessions also included direct parent education, which followed a behavioural skills training model (Miltenberger, 2008). Parent knowledge (N = 19) was measured pre and post treatment using a vignette about a child demonstrating obsessive-compulsive behaviour. Results of a one-tailed pairwise t-test indicated statistically significant changes (p=.036) in overall parent knowledge following participation in treatment. Statistically significant changes were also found in parents’ ability to generate ERP and function-based intervention strategies. These results provide preliminary evidence that parents benefit from active involvement in the GFbCBT treatment package.

Les campagnes sociales destinées aux jeunes adultes québécois sur Internet : pistes pour l'optimisation des sites Web

Avec la montée en popularité d’Internet et des médias sociaux, de plus en plus d’organismes sociaux et publics, notamment, intègrent des plateformes Web à leurs volets traditionnels. La question d’Internet demeure toutefois peu étudiée eu égard à la publicité sociale. Ce mémoire porte donc sur la question du Web en relation avec les campagnes sociales adressées aux jeunes Québécois de 18 à 25 ans, une population particulièrement réceptive aux nouvelles technologies. Plus exactement, dans cette étude, nous avons analysé trois sites Web rattachés à des campagnes sociales (La vitesse, ça coûte cher de la SAAQ, Les ITSS se propagent du MSSS et 50 000 adeptes, 5 000 toutous de la Fondation CHU Sainte-Justine) dans l’objectif de déterminer leurs forces et leurs faiblesses pour ensuite proposer des pistes pour leur optimisation. C’est à l’aide d’une analyse critique de contenu suivie d’entrevues et d’observations individuelles auprès de 19 participants que nous sommes parvenue à suggérer des pistes pour l’optimisation des sites Web de campagnes sociales destinées aux jeunes adultes québécois. Une des plus grandes difficultés en ce qui a trait à leur conception consiste à choisir les stratégies les plus appropriées pour provoquer un changement d’attitude ou de comportement, a fortiori chez ceux qui adoptent des comportements à risque (fumer, conduire en état d’ébriété, avoir des relations sexuelles non protégées); des stratégies qui, pour être plus efficaces, devraient être adaptées en fonction des caractéristiques propres aux publics cibles et aux médias de diffusion. Afin d’analyser adéquatement les campagnes sociales, nous avons fait appel aux théories de la persuasion et aux théories sur l’influence des médias jugées pertinentes dans notre contexte puisqu’elles sont propres à ce type d’étude. Ces approches combinées nous ont permis d’intégrer à l’analyse d’une campagne donnée les contextes qui l’entourent et les pratiques dans lesquelles elle s’inscrit. Cette étude nous a, entre autres, permis de démontrer qu’il existait d’importants écarts entre les attentes et les besoins des internautes et l’offre des sites Web étudiés.

Designing context-aware adaptive units of learning based on IMS-LD standard

Learning contents adaptation has been a subject of interest in the research area of the adaptive hypermedia systems. Defining which variables and which standards can be considered to model adaptive content delivery processes is one of the main challenges in pedagogical design over e-learning environments. In this paper some specifications, architectures and technologies that can be used in contents adaptation processes considering characteristics of the context are described and a proposal to integrate some of these characteristics in the design of units of learning using adaptation conditions in a structure of IMS-Learning Design (IMS-LD) is presented. The key contribution of this work is the generation of instructional designs considering the context, which can be used in Learning Management Systems (LMSs) and diverse mobile devices

Curriculum sequencing for an e-learning system based on learning styles

This work shows the use of adaptation techniques involved in an e-learning system that considers students' learning styles and students' knowledge states. The mentioned e-learning system is built on a multiagent framework designed to examine opportunities to improve the teaching and to motivate the students to learn what they want in a user-friendly and assisted environment

UX Theory - Web Design

This lecture introduces UX theory and focusses on applying this to web based design.

Teleconsultation in sexual and reproductive health for young adults through mobile devices: Experience in Colombia

Background: Sexual risk behaviors associated with poor information on sexuality have contributed to major public health problems in the area of sexual and reproductive health in teenagers and young adults in Colombia. Objective: To measure the perception of changes in sexual and reproductive risk behavior after the use of a teleconsultation service via mobile devices in a sample of young adults. Methods: A before and after observational study was designed, where a mobile application to inquire about sexual and reproductive health was developed. The perception of changes in sexual and reproductive health risk behaviors in a sample of young adults after the use of the application was measured using the validated survey “Family Health International (FHI) – Behavioral Surveillance Survey (BSS) – Survey for Adults between 15 to 40 Years”. Non-probabilistic convenience recruitment was undertaken through the study´s web page. Participants answered the survey online before and after the use of the mobile application for a six month period (intervention). For the inferential analysis, data was divided into three groups (dichotomous data, discrete quantitative data, and ordinal data), to compare the results of the questions between the first and the second survey. For all tests, a confidence interval of 95% was established. For dichotomous data, the Chi-squared test was used. For quantitative data, we used the Student’s t-test, and for ordinal data, the Mann-Whitney-Wilcoxon test. Results: A total of 257 subjects were registered in the study and met the selection criteria. The pre-intervention survey was answered by 232 subjects, and 127 completely answered the post-intervention survey, of which 54.3% did not use the application, leaving an effective population of 58 subjects for analysis. 53% (n=31) were female, and 47% (n=27) were male. The mean age was 21 years, ranging between 18 and 40 years. The differences between the answers on the first and the second survey were not statistically significant. The main risk behaviors identified in the population were homosexual relations, non-use of condoms, sexual relations with non-regular and commercial partners, the use of psychoactive substances, and ignorance about the symptoms of sexually transmitted diseases and HIV transmission. Conclusions: Although there were no differences between the pre- and post-intervention results, the study revealed different risk behaviors among the participating subjects. These findings highlight the importance of promoting educational strategies on this matter and the importance of providing patients with easily accessible tools with reliable health information.

The use of computer-based learning tools for teaching and clinical purposes: Interactive computing strategy for Iraq

Medical universities and teaching hospitals in Iraq are facing a lack of professional staff due to the ongoing violence that forces them to flee the country. The professionals are now distributed outside the country which reduces the chances for the staff and students to be physically in one place to continue the teaching and limits the efficiency of the consultations in hospitals. A survey was done among students and professional staff in Iraq to find the problems in the learning and clinical systems and how Information and Communication Technology could improve it. The survey has shown that 86% of the participants use the Internet as a learning resource and 25% for clinical purposes while less than 11% of them uses it for collaboration between different institutions. A web-based collaborative tool is proposed to improve the teaching and clinical system. The tool helps the users to collaborate remotely to increase the quality of the learning system as well as it can be used for remote medical consultation in hospitals.

Web services enhanced interoperable construction products catalogue

This paper presents a new approach to achieving interoperability between Web-based construction products catalogues. It first introduces the current development of electronic catalogues of construction products. The common system architecture of Web-based electronic products catalogues is discussed, which is followed by a discussion on construction products information standardization and the latest distributed-systems technologies for the communication and exchange of construction products information. The latter part of this paper presents a model of interoperable Web-based construction products catalogue and an implementation of Web services in E-commerce systems to enable the sharing of construction products information.

Training pharmacists to deliver a complex information technology intervention (PINCER) using the principles of educational outreach and root cause analysis

Objective: To describe the training undertaken by pharmacists employed in a pharmacist-led information technology-based intervention study to reduce medication errors in primary care (PINCER Trial), evaluate pharmacists’ assessment of the training, and the time implications of undertaking the training. Methods: Six pharmacists received training, which included training on root cause analysis and educational outreach, to enable them to deliver the PINCER Trial intervention. This was evaluated using self-report questionnaires at the end of each training session. The time taken to complete each session was recorded. Data from the evaluation forms were entered onto a Microsoft Excel spreadsheet, independently checked and the summary of results further verified. Frequencies were calculated for responses to the three-point Likert scale questions. Free-text comments from the evaluation forms and pharmacists’ diaries were analysed thematically. Key findings: All six pharmacists received 22 hours of training over five sessions. In four out of the five sessions, the pharmacists who completed an evaluation form (27 out of 30 were completed) stated they were satisfied or very satisfied with the various elements of the training package. Analysis of free-text comments and the pharmacists’ diaries showed that the principles of root cause analysis and educational outreach were viewed as useful tools to help pharmacists conduct pharmaceutical interventions in both the study and other pharmacy roles that they undertook. The opportunity to undertake role play was a valuable part of the training received. Conclusions: Findings presented in this paper suggest that providing the PINCER pharmacists with training in root cause analysis and educational outreach contributed to the successful delivery of PINCER interventions and could potentially be utilised by other pharmacists based in general practice to deliver pharmaceutical interventions to improve patient safety.

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

Algorithms for computer-aided diagnosis of dementia based on structural MRI have demonstrated high performance in the literature, but are difficult to compare as different data sets and methodology were used for evaluation. In addition, it is unclear how the algorithms would perform on previously unseen data, and thus, how they would perform in clinical practice when there is no real opportunity to adapt the algorithm to the data at hand. To address these comparability, generalizability and clinical applicability issues, we organized a grand challenge that aimed to objectively compare algorithms based on a clinically representative multi-center data set. Using clinical practice as the starting point, the goal was to reproduce the clinical diagnosis. Therefore, we evaluated algorithms for multi-class classification of three diagnostic groups: patients with probable Alzheimer's disease, patients with mild cognitive impairment and healthy controls. The diagnosis based on clinical criteria was used as reference standard, as it was the best available reference despite its known limitations. For evaluation, a previously unseen test set was used consisting of 354 T1-weighted MRI scans with the diagnoses blinded. Fifteen research teams participated with a total of 29 algorithms. The algorithms were trained on a small training set (n = 30) and optionally on data from other sources (e.g., the Alzheimer's Disease Neuroimaging Initiative, the Australian Imaging Biomarkers and Lifestyle flagship study of aging). The best performing algorithm yielded an accuracy of 63.0% and an area under the receiver-operating-characteristic curve (AUC) of 78.8%. In general, the best performances were achieved using feature extraction based on voxel-based morphometry or a combination of features that included volume, cortical thickness, shape and intensity. The challenge is open for new submissions via the web-based framework: http://caddementia.grand-challenge.org.

Enhanced effects of combined cognitive bias modification and computerised cognitive behaviour therapy on social anxiety

This study examines whether combined cognitive bias modification for interpretative biases (CBM-I) and computerised cognitive behaviour therapy (C-CBT) can produce enhanced positive effects on interpretation biases and social anxiety. Forty socially anxious students were randomly assigned into two conditions, an intervention group (positive CBM-I + C-CBT) or an active control (neutral CBM-I + C-CBT). At pre-test, participants completed measures of social anxiety, interpretative bias, cognitive distortions, and social and work adjustment. They were exposed to 6 × 30 min sessions of web-based interventions including three sessions of either positive or neutral CBM-I and three sessions of C-CBT, one session per day. At post-test and two-week follow-up, participants completed the baseline measures. A combined positive CBM-I + C-CBT produced less negative interpretations of ambiguous situations than neutral CBM-I + C-CBT. The results also showed that both positive CBM-I + C-CBT and neutral CBM-I + C-CBT reduced social anxiety and cognitive distortions as well as improving work and social adjustment. However, greater effect sizes were observed in the positive CBM-I + C-CBT condition than the control. This indicates that adding positive CBM-I to C-CBT enhanced the training effects on social anxiety, cognitive distortions, and social and work adjustment compared to the neutral CBM-I + C-CBT condition.

ANFIS BASED MODELS FOR ACCESSING QUALITY OF WIKIPEDIA ARTICLES

Wikipedia is a free, web-based, collaborative, multilingual encyclopedia project supported by the non-profit Wikimedia Foundation. Due to the free nature of Wikipedia and allowing open access to everyone to edit articles the quality of articles may be affected. As all people don’t have equal level of knowledge and also different people have different opinions about a topic so there may be difference between the contributions made by different authors. To overcome this situation it is very important to classify the articles so that the articles of good quality can be separated from the poor quality articles and should be removed from the database. The aim of this study is to classify the articles of Wikipedia into two classes class 0 (poor quality) and class 1(good quality) using the Adaptive Neuro Fuzzy Inference System (ANFIS) and data mining techniques. Two ANFIS are built using the Fuzzy Logic Toolbox [1] available in Matlab. The first ANFIS is based on the rules obtained from J48 classifier in WEKA while the other one was built by using the expert’s knowledge. The data used for this research work contains 226 article’s records taken from the German version of Wikipedia. The dataset consists of 19 inputs and one output. The data was preprocessed to remove any similar attributes. The input variables are related to the editors, contributors, length of articles and the lifecycle of articles. In the end analysis of different methods implemented in this research is made to analyze the performance of each classification method used.