The article aims to investigate the available tools of current information tech-nologies used in teaching under-graduate and postgraduate students at a foreign language department of a higher technical education institution of mineral re-sources line, to assess the experience of using those technologies by the author of the article, to analyze the results achieved and to consider the ways of ex-panding the list of methodologies that apply the existing information technolo-gies in teaching foreign languages in higher technical education institutions in mineral re-source area. The article considers the following techniques: using the institution Internet portal to provide access to learning support materials, learn-ing plans, assignments and tests, remote teacher consultations, organizing of and participation in outside webinars and video conferences, and incorporating training programs with speech recognition modules. Foreign language compe-tence for professional interaction implies general basic knowledge of grammar and vocabulary, developing profession-related terminological vocabulary, and skills of face-to-face oral and written professional communication in the foreign language. The author analyzes the results based on surveying and feedback from undergraduate and postgraduate students and on long-term personal work experience in higher education. As a mid-term objective, the authors have be-gun a quantitative analysis of the effect of IT learning based on experience of distant teaching during COVID pandemic.
The article analyzes the experience of text content development for an online course created for oil and gas professionals. The article features a critical review of the current situation in online systems of distance learning, establishes principles of creating professionally oriented language curricula, as well as requirements to the functionality of online platforms that enable creation of such courses and their delivery to the audience. The work provides a detailed analysis of text content development principles and criteria. It presents three stages of developing text content for the first module of a professionally oriented online course.
The article aims to analyse the possibility to use methods of web search and identification of semantic text patterns with a view to automatising the web search and assessment of professionally oriented texts used to train students at foreign language departments of higher education institutions of mineral re-source development profile. The work provides an overview of relevant AI methods that may be employed to perform the tasks mentioned above and anal-yses a number of similar works. It offers a structure of patterns that can be used to find relevant research articles and describes approaches to assessment of the texts found. It also proposes the front-end structure of an application that can be tasked with web search and subsequent assessment of texts. The case study pre-sents semantic analysis and assessment of a professionally oriented text written in English. The research done shows good prospects for using Semantic Web technologies for web search and assessment of texts available on the Internet not only for training students but also, in broader formulation, for teaching and learning in a chosen direction. This is ensured by flexibility of methods for se-mantic pattern search and identification. With respect to further development of the research, the authors consider designing an operational application for text search and assessment and also outcome analysis for a variety of directions of learning within the mineral resources development domain.
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