Patients with mental illness are stigmatized. Health care professionals may even perpetuate stigma towards mental illness. Thus it is important to ensure that health care professionals have positive attitudes towards ...Patients with mental illness are stigmatized. Health care professionals may even perpetuate stigma towards mental illness. Thus it is important to ensure that health care professionals have positive attitudes towards patients with mental illness. The aim of this study was to estimate the impact of an eLearning course on psychiatric nurses’ attitudes towards mental illness. A cluster-randomized trial (ISRCTN32869544) design was used. Twelve wards were randomly assigned to the eLearning course (ePsychNurse.Net) group or the education as a usual group. The participants (N = 228) were allocated to the intervention (n = 115) or control group (n = 113) according their baseline ward affiliation. Attitudes were rated according to the Community Attitude towards the Mentally Ill scale. Both groups were found to have positive, not stigmatized attitudes towards mental illness. No statistically significant changes were found at three-month or nine-month follow-up. It may be that by developing the ePsychNurse.Net course to include more material related to nurses’ attitudes and as nurses become more familiar with eLearning, the course may be effective in shaping nurses’ attitudes towards mental illness. On the other hand, our study’s nine- month time span may have been too short to change nurses’ attitudes.展开更多
COVID-19 effects have been felt in the education sector worldwide where schools,colleges,and universities were closed as a way to reduce the spread of the deadly pandemic and loss of lives.The Ministry of Higher and T...COVID-19 effects have been felt in the education sector worldwide where schools,colleges,and universities were closed as a way to reduce the spread of the deadly pandemic and loss of lives.The Ministry of Higher and Tertiary Education.advocate that no child should be left behind during the COVID-19 era,therefore gave a directive for universities to use other alternative means of teaching and learning to continuously provide teaching and learning to students during the series of lockdown.An efficient eLearning system in universities is very important as an alternative to face-to-face teaching and learning in this COVID-19 era to have continuity in teaching and learning during the induced lockdowns.Success in online learning can be achieved by understanding the level of readiness of online learning environments.The main objective of the study was to evaluate the adoption of online learning by students in Zimbabwean universities.A descriptive online survey employing questionnaires to collect data on the adoption of eLearning by Zimbabwean universities students was used.Results indicated various eLearning platforms have been introduced in Zimbabwean universities though there is a need for eLearning infrastructure to be availed,students to be trained or students to effectively adopt the eLearning.展开更多
The Web comprises of voluminous rich learning content. The volume of ever growing learning resources however leads to the problem of information overload. A large number of irrelevant search results generated from sea...The Web comprises of voluminous rich learning content. The volume of ever growing learning resources however leads to the problem of information overload. A large number of irrelevant search results generated from search engines based on keyword matching techniques further augment the problem. A learner in such a scenario needs semantically matched learning resources as the search results. Keeping in view the volume of content and significance of semantic knowledge, our paper proposes a multi-threaded semantic focused crawler （SFC） specially designed and implemented to crawl on the WWW for educational learning content. The proposed SFC utilizes domain ontology to expand a topic term and a set of seed URLs to initiate the crawl. The results obtained by multiple iterations of the crawl on various topics are shown and compared with the results obtained by executing an open source crawler on the similar dataset. The results are evaluated using Semantic Similarity, a vector space model based metric, and the harvest ratio.展开更多
基金financially supported by the European Commission(Leonardo da Vinci,FI-06B-F-PP-160701),Hospital District of Helsinki and Uusimaa,and Hyvinkaa Hospital Region which are gratefully acknowledged.
文摘Patients with mental illness are stigmatized. Health care professionals may even perpetuate stigma towards mental illness. Thus it is important to ensure that health care professionals have positive attitudes towards patients with mental illness. The aim of this study was to estimate the impact of an eLearning course on psychiatric nurses’ attitudes towards mental illness. A cluster-randomized trial (ISRCTN32869544) design was used. Twelve wards were randomly assigned to the eLearning course (ePsychNurse.Net) group or the education as a usual group. The participants (N = 228) were allocated to the intervention (n = 115) or control group (n = 113) according their baseline ward affiliation. Attitudes were rated according to the Community Attitude towards the Mentally Ill scale. Both groups were found to have positive, not stigmatized attitudes towards mental illness. No statistically significant changes were found at three-month or nine-month follow-up. It may be that by developing the ePsychNurse.Net course to include more material related to nurses’ attitudes and as nurses become more familiar with eLearning, the course may be effective in shaping nurses’ attitudes towards mental illness. On the other hand, our study’s nine- month time span may have been too short to change nurses’ attitudes.
文摘COVID-19 effects have been felt in the education sector worldwide where schools,colleges,and universities were closed as a way to reduce the spread of the deadly pandemic and loss of lives.The Ministry of Higher and Tertiary Education.advocate that no child should be left behind during the COVID-19 era,therefore gave a directive for universities to use other alternative means of teaching and learning to continuously provide teaching and learning to students during the series of lockdown.An efficient eLearning system in universities is very important as an alternative to face-to-face teaching and learning in this COVID-19 era to have continuity in teaching and learning during the induced lockdowns.Success in online learning can be achieved by understanding the level of readiness of online learning environments.The main objective of the study was to evaluate the adoption of online learning by students in Zimbabwean universities.A descriptive online survey employing questionnaires to collect data on the adoption of eLearning by Zimbabwean universities students was used.Results indicated various eLearning platforms have been introduced in Zimbabwean universities though there is a need for eLearning infrastructure to be availed,students to be trained or students to effectively adopt the eLearning.
文摘The Web comprises of voluminous rich learning content. The volume of ever growing learning resources however leads to the problem of information overload. A large number of irrelevant search results generated from search engines based on keyword matching techniques further augment the problem. A learner in such a scenario needs semantically matched learning resources as the search results. Keeping in view the volume of content and significance of semantic knowledge, our paper proposes a multi-threaded semantic focused crawler （SFC） specially designed and implemented to crawl on the WWW for educational learning content. The proposed SFC utilizes domain ontology to expand a topic term and a set of seed URLs to initiate the crawl. The results obtained by multiple iterations of the crawl on various topics are shown and compared with the results obtained by executing an open source crawler on the similar dataset. The results are evaluated using Semantic Similarity, a vector space model based metric, and the harvest ratio.
