3 research outputs found
Using Cloud Services to Develop Learning Scenarios from a Software Engineering Perspective
The term “Cloud Computing” does not primarily specify new types of core technologies but rather addresses features to do with integration, inter-operability and accessibility. Although not new, virtualization and automation are cor features that characterize Cloud Computing. In this paper, we intend to explore the possibility of integrating cloud services with educational scenarios without re-defining neither the technology nor the usage scenarios from scratch. Our suggestion is based on certain solutions that have already been implemented and tested for specific cases
Using Cloud Services to Develop Learning Scenarios from a Software Engineering Perspective
The term "Cloud Computing" does not primarily specify new types of core technologies but rather addresses features to do with integration, inter-operability and accessibility. Although not new, virtualization and automation are core features that characterize Cloud Computing. In this paper, we intend to explore the possibility of integrating cloud services with educational scenarios without re-defining neither the technology nor the usage scenarios from scratch. Our suggestion is based on certain solutions that have already been implemented and tested for specific cases
Multimedia Development of English Vocabulary Learning in Primary School
In this paper, we describe a prototype of web-based intelligent handwriting education
system for autonomous learning of Bengali characters. Bengali language is used by more than
211 million people of India and Bangladesh. Due to the socio-economical limitation, all of the
population does not have the chance to go to school. This research project was aimed to develop
an intelligent Bengali handwriting education system. As an intelligent tutor, the system can
automatically check the handwriting errors, such as stroke production errors, stroke sequence
errors, stroke relationship errors and immediately provide a feedback to the students to correct
themselves. Our proposed system can be accessed from smartphone or iPhone that allows
students to do practice their Bengali handwriting at anytime and anywhere. Bengali is a
multi-stroke input characters with extremely long cursive shaped where it has stroke order
variability and stroke direction variability. Due to this structural limitation, recognition speed is
a crucial issue to apply traditional online handwriting recognition algorithm for Bengali
language learning. In this work, we have adopted hierarchical recognition approach to improve
the recognition speed that makes our system adaptable for web-based language learning. We
applied writing speed free recognition methodology together with hierarchical recognition
algorithm. It ensured the learning of all aged population, especially for children and older
national. The experimental results showed that our proposed hierarchical recognition algorithm
can provide higher accuracy than traditional multi-stroke recognition algorithm with more
writing variability