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In this study, we applied Speech-to-Text Recognition (STR) and Computer-Aided Translation (CAT) technologies in combination during lectures in English to facilitate Russian speaking students' comprehension of lecture content. The instructor lectured in English, the STR system generated texts from the voice input, and the CAT system then simultaneously translated the STR-texts into Russian. We aimed...
We applied a speech-to-text recognition (STR) and computer-aided translation (CAT) systems to support multi-lingual communications students participating in cross-cultural learning project. The participants were engaged in interactions and information exchanges in order to learn and understand cultures and traditions of their peers. Their communications were carried out in their native languages on...
We designed learning activities supported by a mobile learning system to enhance students' cognitive processes. Students learned in class and then applied and analyzed new knowledge to solve real life problems by taking pictures of objects and describing them. This study carried out an experiment in which control students studied and completed learning activities using traditional methods while experimental...
This study aimed to explore the effectiveness of applying the speech-to-text recognition (STR) technology during lectures in English on learning performance of non-native English students. Furthermore, how useful texts generated by the STR for students of different English as foreign language (EFL) ability during different difficulty level lectures was explored. For this reason, one experiment was...
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