نتایج جستجو برای: called blended data
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Blended learning requires digital technology transformation for lecturers and students, up-to-date teaching methods, flexible processes, the effectiveness of time, space, budget, motivation, autonomy, all which contribute to improving student achievement. However, current empirical research results do not support claim that blended improves students' English proficiency autonomy. Evidence shows...
The adoption of blended learning to widen access, reduce cost, and improve the quality of education is becoming prevalent in higher education in sub-Saharan Africa and Tanzania in particular. University of Dar es Salaam and the Open University of Tanzania offer various blended learning courses using Moodle system via regional centres scattered across the country. Despite the success of these co...
Blended learning in which online education is combined with face-to-face education is especially useful for (future) health care professionals who need to keep up-to-date. Blended learning can make learning more efficient, for instance by removing barriers of time and distance. In the past distance-based learning activities have often been associated with traditional delivery-based methods, ind...
Research on the nature of blended learning and its characteristics has led to a range of approaches to the practice of blended learning. As such, this paper provides an alternative practice model, the TSOI Hybrid Learning Model to develop integrated blended learning in science education. The Piagetian Science learning cycle model and the Kolb‟s experiential learning cycle model are used to shap...
This study’s purpose was to synthesize the user network (including subjective norm and network externality), task-technology fit (TTF), and expectation–confirmation model (ECM) to explain nurses’ intention to continue using the blended electronic learning (e-learning) system within medical institutions. A total of 450 questionnaires were distributed to nurses, of which, 352 (78.2%) questionnair...
A major challenge in contemporary data science is the development of statistically accurate particle filters to capture non-Gaussian features in large-dimensional chaotic dynamical systems. Blended particle filters that capture non-Gaussian features in an adaptively evolving low-dimensional subspace through particles interacting with evolving Gaussian statistics on the remaining portion of phas...
Despite advances in the field of workflow flexibility, there is still insufficient support for dealing with unforeseen exceptions. In particular, it is challenging to find a solution which preserves the intent of the process as much as possible when such exceptions are encountered. This challenge can be alleviated by making the connection between a process and its objectives more explicit. This...
nowadays, utilization of blended fuel in internal combustion engine is one of main topics in vehicle industries. the synergy effect will be highlighted when the potential of each fuel is employed and the engine performance will improve consequently. in this research, the laminar flame speed of methane (main component of reference fuel for natural gas) and isooctane (main component of reference...
Education is experiencing a paradigm shift towards blended learning models in technology-enhanced learning (TEL). Despite the potential benefits of blended learning, it also entails additional complexity in terms of monitoring, awareness and reflection, as learning happens across different spaces and modalities. In recent years, literature on Learning Analytics (LA) and Educational Data Mining ...
Don Hinkelman, Sapporo Gakuin University Paul Gruba, University of Melbourne As blended language learning environments evolve within tertiary foreign language institutions, issues of power with regards to the privileging of electronic technologies come to the fore. Blended learning, or the principled mix of online and classroom-based activities, challenges the practices of traditional CALL and ...
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