AI Technologies in Training PhD Students
Svetlana Yurievna Bogdanova, Marina Stepanova, Marina Stanislavovna Matytcina, Пластинина Нина Анатольевна, Yulia Plekhanova, Marina I. Kudritskaya
Irkutsk State University Nizhnevartovsk State University Lipetsk State Technical University Kostanay State University A Baitursynov
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摘要与影响
In the following decades AI-based techniques are likely to be the driving force for transforming every segment of human society, education included. AI technologies obviously undergo a period of intense growth of reputation and expectations at all levels of professional education and have true potential for enhancing postgraduate qualification programs as well. This paper explores the perspectives of implementing Speech-to- Text (STT) & Text-to-Speech (TTS) tools in redesigning PhD studies curriculum as speech recognition and text-to-speech instruments are supposed to be effectively used both for academic purposes and in research. Even now the individual needs of PhD students in scientific data processing can be covered with existing automatic speech/text recognition free access apps through their multifold settings. But as our survey shows, only few postgraduate students are familiar with the STT and TTS tools, which makes it vital to incorporate these techniques into postgraduate education for it to become more versatile.
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计算机 / AIArtificial Intelligence in Education
Doctoral Education Challenges and Solutions · Speech Recognition and Synthesis