Headings of the journal
"Educational Resources and Technologies"

Annotation: The article describes an approach to solving the problem of detecting current pulses of a surface barrier discharge at atmospheric pressure under conditions of large volumes of data obtained at a high sampling rate. A brief overview of the collected dataset is presented, an analysis of a typical detection algorithm is carried out, and its shortcomings are identified. A new two-step approach to data processing is proposed: classification of the time series for data pre- processing and detection of the start and end of pulses using a deep learning regression model. The article describes relevant neural network architectures and provides a comparison of the effectiveness of the considered approaches in solving time series classification tasks. The use of machine learning makes it possible to reduce detection errors. This method shows better results than existing approaches due to improved accuracy and noise resistance. The theoretical and practical results of the study are aimed at the development of technical diagnostics and machine learning methods.

Annotation: The future of education is associated with educational ecosystems, the role of which in the forming of environ- mental culture and the transmission of practices sustainable development can hardly be overestimated. In edu- cational ecosystems, there is an exchange of knowledge, experience and innovative approaches to environmental education, sustainable development practices are formed, and environmental responsibility skills are acquired. The purpose of this study is to consider educational ecosystems in the context of the forming of environmental culture and sustainable development, as well as to identify promising areas, the implementation of which in the educational ecosystem will contribute to increasing the environmental responsibility of students. To solve this problem, the study uses the method of studying the scientific literature on the concepts of “environmental culture” and “educational ecosystem”, a review of the legislative framework regulating environmental education at the national and international levels is conducted, the results presented in national and international rankings and voiced in analytical reports are summarized. Based on the results of the study, it was found that productive co- operation and partnership in the educational ecosystem form a positive result from such integration, consisting in providing participants with the opportunity to implement environmental innovations and sustainable develop- ment practices. The results obtained contribute to the development of an ecosystem approach in environmental education due to a deeper understanding of the importance of forming an environmental culture and sustainable development among students.

Annotation: The article is devoted to the theoretical understanding and methodological formulation of the concept of in- formation reliability as an independent interdisciplinary category. It is shown that, unlike technical reliability, information reliability relies on fuzzy, cognitive and semantic characteristics, which makes the problem of its assessment methodologically difficult. An attempt has been made to bring this concept beyond the traditional engineering interpretations, substantiating its applicability to information models, information systems and information processes. A multifactorial structure of information reliability is proposed, including reliability, relevance, recoverability, information quality, and characteristics of the operating environment. The list of significant factors other than technical reliability factors has been expanded. A methodological model of expert assessment is proposed, linked to testing as an information process, which makes it possible to show the practi- cal applicability of theoretical provisions. The results of the study are a generalization for the further forming of a systematic approach to the assessment of information reliability.

Annotation: The article analyzes the problems faced by students of generation Z in the forming of foreign language reading competence. Theoretical approaches to the problem of forming a culture of reading in a foreign language are summarized. As a way to involve students of generation Z in reading activities, a student-centered individual reading program in English is offered, aimed at forming a reading culture for 1st–2nd year students of the uni- versity. The three-stage educational model of critical thinking development technology (challenge – comprehen- sion – reflection) is used to organize students’ activities related to individual reading during the semester. The methodology of competence-based educational practices aimed at the forming of students’ autonomy through active and interactive methods is used to enhance the learning potential of the program. The results of the study confirm the effectiveness of the proposed methodology, which promotes the intellectual and emotional immer- sion of students in an independently selected authentic work of art and the forming of motivation to read in the process of active communication about what they have read.

Annotation: The article examines large language models in the context of automation of routine pedagogical tasks. A brief analysis of the tasks that arise during the work of a higher school teacher is carried out, and the most important problems that can be solved using artificial intelligence methods are highlighted. The concept of artificial intel- ligence is presented and described, which includes machine learning, deep learning and generative artificial intelligence as constituent elements. The evolution of large language models that belong to the field of generative artificial intelligence and are characterized by the ability to create text, images, code and audio is shown. The results of the transformation of large language models from the moment of their emergence to the appearance of the latest models are presented. The possibilities of using the Russian large GigaChat-type language model in the educational process are shown, ways of application are indicated and further plans are outlined. Attention is drawn to the limitations of the use of generative models in the educational process related to the manifestation of hallucinations of large language models and the thoroughness of the query.