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EN
This analysis aimed to investigate the factors influencing the behavioural intention to use Massive Open Online Courses (MOOCs) in Thailand and Pakistan. The study was geared towards exploring the MOOCs, a relatively new technology platform allowing the spread of education and learning in various areas and fields and surpassing traditional online courses. The study adopted the UTAUT model with additional two variables of perceived autonomy and absorptive capacity. A quantitative method was applied using primary data collected from a sample of 490 and 513 respondents from Thailand and Pakistan, respectively. The sample size was composed of students in institutions of higher learning who were aware of MOOCs or intended to use them in their studies. The analysis was conducted using the Confirmatory Factor Analysis (CFA) and multi-group structural equation modelling (SEM). The study found that four variables (social influence, absorptive capacity, facilitating conditions and perceived autonomy) significantly influence the student intention to use MOOCs in Thailand and Pakistan. However, two variables (performance expectancy and effort expectancy) did not influence the student intention to use MOOCs in Thailand and Pakistan. The results indicated that the findings between the two countries were invariant. This study extended the model by Venkatesh et al. (2003), including two additional variables, the perceived autonomy and absorptive capacity. The study indicated various aspects related to the response of students using MOOCs. This study is especially beneficial during the COVID-19 pandemic for determining factors that officials of higher institutions of learning should consider when implementing MOOCs and associated online learning programs to deliver quality education to students.
EN
Massive open online courses, MOOCs, are a recent phenomenon that has achieved a tremendous media attention in the online education world. Certainly, the MOOCs have brought interest among the learners (given the number of enrolled learners in these courses). Nevertheless, the rate of dropout in MOOCs is very important. Indeed, a limited number of the enrolled learners complete their courses. The high dropout rate in MOOCs is perceived by the educator’s community as one of the most important problems. It’s related to diverse aspects, such as the motivation of the learners, their expectations and the lack of social interactions. However, to solve this problem, it is necessary to predict the likelihood of dropout in order to propose an appropriate intervention for learners at-risk of dropping out their courses. In this paper, we present a dropout predictor model based on a neural network algorithm and sentiment analysis feature that used the clickstream log and forum post data. Our model achieved an average AUC (Area under the curve) as high as 90% and the model with the feature of the learner’s sentiments analysis attained average increase in AUC of 0.5%.
PL
Znaczenie edukacji, szkoleń i podnoszenia świadomości zagadnień cyberbezpieczeństwa jest dziś, w erze społeczeństwa informacyjnego powszechnie uznane. W ostatnich latach w Unii Europejskiej pojawiło się wiele nowych inicjatyw związanych między innymi z rozwijaniem programów uniwersyteckich, przygotowywaniem specjalistycznych i profilowanych szkoleń, uruchamianiem masowych otwartych kursów online, a także badaniami opinii publicznej oraz ekspertów. Odbyła się również niezwykle interesująca debata dotycząca skuteczności i zasadności kształcenia zasad cyberbezpieczeństwa oraz przeprowadzono ankietę w instytucjach edukacyjnych dotyczących cech wzorcowego kursu w tej dziedzinie. W artykule przedstawiono te inicjatywy i związane z nimi wyzwania, a także trendy i perspektywiczne kierunki rozwoju nauczania zagadnień cyberbezpieczeństwa.
EN
Today, in the era of information society, the importance of cybersecurity education, training and awareness is widely acknowledged. In recent years many new initiatives have been taken in the European Union related to the development of academic programmes, creation of specialised, dedicated trainings, launching massive open online courses (MOOCs) as well as conducting stocktaking studies. There was a very interesting debate about the value of security awareness raising and trainings which provided strong arguments supporting inclusion of educative actions into organisations’ cybersecurity strategies. These actions, for instance, significantly improve security level in small and medium enterprises. The indispensable role of user education was confirmed in the European Digital Agenda and cyber security strategies of member states. Relevant courses need to be included into common curricula, not only the programmes for students of information technologies as it is today. A promising direction in popularisation of cybersecurity principles are Massive Online Open Courses (MOOCs). Although generally they expose a low level of completion, they became successful for participants with high self-motivation and previous learning experiences. A survey in educational institutions regarding the characteristics of a model cybersecurity course show that primarily it should rely on practical exercises based on role-playing and simulations, performed in teams. The content of such course should include real-life examples, privacy issues and risks inherent to the use of new technologies, as well as multidisciplinary questions. The paper presents cybersecurity education initiatives together with challenges related to them, and the trends and perspectives in cybersecurity education.
EN
Massive Open Online Courses (MOOCs) extended with Virtual Patients (VPs) may foster specific medical skills. In particular, three educational use cases have been proposed to enable interactivity and foster clinical reasoning skills training: collective evaluation of decision making in the context of uncertainty, collective repurposing of cases with division of discussion into subgroups, and computational models in short cases for flexible selection and adaptive learning with VPs. The aim of this study was to evaluate the educational strengths and weaknesses of the proposed use cases. Methods: We went through a two-round modified Delphi process. A panel of experts was formed and asked with open-ended questions to identify the strengths and weaknesses of each use case. The obtained responses were categorized thematically; four specific aspects of the use cases were isolated. In the second phase, the panel was asked to read the collected, categorized responses and prioritize the use cases focusing on each of the four identified aspects. Results: Six experts participated in the process. According to their opinion, decision making in uncertain context was the most feasible in implementation and in fostering clinical reasoning skills training; cultural repurposing was judged to leverage the MOOC potential the most; and computational models in short cases were considered the most interesting use case for the learners. Conclusions: The use cases were validated and prioritized; the Delphi approach brought insights into the use cases’ potential benefits, threats, and challenges.
EN
Warsaw School of Computer Science has launched a multi-annual MOOC project “IT School” to prepare and open on-line a number of popular courses and other materials in the area of “basics of computer knowledge” for students of secondary level. The main objective of the project “IT School” is to popularize basic knowledge of computer technology, to encourage young people to study in the field of Information Technology and thus facilitate the study of the core courses. In the framework of Project twelve online courses was prepared and opened with particular care in preparing self-assessment tests, allowing students to check the level of understanding of the learning material after each course (http://www.it-szkola.edu.pl). The final test assesses student knowledge and its completion allows to receive a certificate. The education technology used for preparing the lectures is explained in this paper in details.
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