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FROM LECTURER TO CHATBOT: EVALUATING A HYBRID TEACHING MODEL
Journal of Teaching English for Specific and Academic Purposes. 2025. Vol. 13. No. 3. P. 529–538.
Ravedovskaya U., Didenko A., Филатова А. А.
Emergence of generative artificial intelligence (GenAI) is revolutionizing teaching and evaluation in higher education. Early adopters have already demonstrated how large language model (LLM) conversational agents can serve as on-demand tutors, yet empirical evidence regarding their effectiveness in facilitating conceptual learning in non-computational domains is scant. Based on constructivist learning theory, this paper presents a two-year quasi-experimental design carried out at the joint undergraduate business program of SKOLKOVO and MIPT (Moscow). The class of 2023 (n = 42) engaged in a traditional lecture-based Immersion in Human Behavioral Biology. By contrast, students in the 2024 group (N = 42) joined problem-centered sessions facilitated by a human teacher and GPT-4-based chatbot co-facilitator (“Robert”). The post-course FG transcripts were incorporated into and contrasted with expert corpora. Students from the AI-assisted group significantly decreased the semantic distance to disciplinary texts by 60 per cent, suggesting better acquisition of domain-specific language in the absence of a subject-matter lecturer. Satisfaction was generally higher for the 2024 class than the 2023 group. However, qualitative feedback revealed new concerns, such as anxiety regarding the loss of epistemic authority, heightened cognitive load and ambiguity in navigating AI-generated content. Despite deeper conceptual engagement, students reported challenges in interpreting chatbot responses and a need for clearer guidance. These findings suggest that an AI-mediated constructivist model can enhance learning outcomes but must be carefully designed to address motivational, cognitive, and epistemic challenges introduced by the integration of GenAI into the class.
Korchak A., Hughes C., Costley J., Journal of Research on Technology in Education 2026 P. 1–17
Generative artificial intelligence (Gen-AI) is increasingly used in higher education, yet its role in collaborative learning remains unclear. This study examines how students use Gen-AI during group lesson-planning tasks in an undergraduate education course. Drawing on Vygotsky’s sociocultural theory, we introduce the concept of “an effort space” and apply the categories of appropriate, over-, and ...
Added: October 8, 2026
Lysova-Golomzina E., Dobryakova M. S., Мир психологии. Научно-методический журнал 2026 № 3 С. 285–307
The study focuses on the cognitive mechanisms associated with teachers’ work with new, conceptually complex material, both when they are experts in philological analysis and when they design the acquisition of subject matter. The scientific novelty of the article lies in its interdisciplinary approach, which allows for an explanation of the interaction between “threshold” subject ...
Added: October 7, 2026
Lyu M., Omopekunola M., Wang F., / Series 2026.aimecon-wip.55 "Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con)". 2026.
Large language models (LLMs) have been proposed as a substitute for field trials in itemdifficulty estimation, but evidence about where they succeed is usually drawn from a single test form. We compare LLM difficulty predictions across three task types that make different language demands, grammar cloze, semantic cloze and reading comprehension, on two operational Grade ...
Added: October 5, 2026
Denisenko I., Petrenko O., Vasilyeva T., Киров: Межрегиональный центр инновационных технологий в образовании, 2026.
Монография посвящена преодолению разрыва между стратегическими целями развития образования и повседневной практикой школы. Научно-методическое сопровождение рассматривается как управленческий механизм перевода образовательных инициатив в устойчивые изменения педагогических и управленческих практик.
Представлена эмпирически апробированная модель научно-методического сопровождения, основанная на цикле: данные — интерпретация — гипотеза — педагогическая проба — анализ — корректировка или закрепление практики. Эмпирическая база включает ...
Added: October 5, 2026
Vradiy N., Давыдова Е. А., Просвещение. Иностранные языки 2026
В статье рассматривается проект «Учитель-партнер» как модель взаимодействия школы и вуза, объединяющая олимпиадную подготовку школьников, профориентацию и методическую поддержку учителей иностранного языка. ...
Added: October 5, 2026
Милицына П. С., Rozhkova K., Roshchin S. et al., Высшее образование в России 2026 № 8-9 С. 94–115
Привлечение и удержание молодых педагогов в школах является одним из важнейших вопросов для преодоления проблемы кадрового дефицита в системе образования. В статье анализируются особенности трудоустройства выпускников российских вузов педагогических специальностей выпуска 2021–2022 гг. На основе тотальных административных данных выявлены факторы, влияющие на вероятность их первоначального трудоустройства в школу и последующего закрепления в профессии. Результаты показывают, ...
Added: October 5, 2026
Sorokin P., Morozova E., Goshin M. E. et al., Высшее образование в России 2026 Т. 35 № 3 С. 63–89
The purpose of this study is to empirically identify the potential of contemporary educators involved in university entrepreneurship support initiatives as potential drivers of ecosystem development. This is achieved through an analysis of their key individual characteristics, professional experience, pedagogical practices, and the institutional context of the university environment. To this end, based on a ...
Added: October 2, 2026
Nisskaya A., Беляевская Е. С., Современная зарубежная психология 2026 Т. 3 № 15 С. 89–97
Context. The preschool period is a critical stage for the development of prosocial behavior. Children begin to understand the feelings of others, and the foundations of empathy and mutual assistance are formed. Situation-specific expressions of care can develop into more stable forms when children are embedded in a system of social relationships. However, the specific characteristics ...
Added: October 2, 2026
М.: Национальный исследовательский университет "Высшая школа экономики", 2026.
The next collection “Cases of Russian Universities” contains cases developed in the master’s program “Management in Higher Education,” which has been offered since 2011 by the Institute of Education at the National Research University Higher School of Economics. The program is intended for university staff aiming for a managerial career or seeking to develop their ...
Added: October 1, 2026
Мичурина А. А., Гуманитарные науки и образование 2026 Т. 17 № 3 С. 82–87
China pays special attention to the application of artificial intelligence (AI) technologies in various spheres of life, including education. The integration of AI into the field of education carries many opportunities. At the same time, this process is associated with a large number of risks, which raises the issue of the need for legal regulation ...
Added: October 1, 2026
Dvoinin A., Развитие личности 2025 № Спецвыпуск С. 17–20
The article outlines A.M. Dvoinin’s personal reminiscences of his teacher, the prominent psychologist Valeria Sergeevna Mukhina ...
Added: September 30, 2026
Patarakin Y., Kutuzov A., Искусственные общества 2026 Т. 21 № 3 Статья 10
This paper presents STiMUS (Stigmergy and Mutualism in Socio-Technical Systems), an agent-based model implemented in NetLogo 7.0. The model formalises two complementary coordination mechanisms in digital project teams. The first is stigmergy: contributor agents select shared artefacts to work on by following traces left by previous editors, without explicit communication. The second is mutualism: artefacts ...
Added: September 30, 2026
Akhmedjanova D., М.: Издательский дом НИУ ВШЭ, 2026.
Восемнадцатый выпуск серии учебно-методических пособий «Подготовка профессионалов для нового образования» посвящен преподаванию курса по метакогнитивной регуляции обучения на магистерской программе «Педагогическое образование» Института образования НИУ ВШЭ. Пособие систематизирует современные знания о природе, диагностике и развитии саморегуляции в образовании и призвано восполнить дефицит качественных русскоязычных публикаций, интегрирующих достижения отечественной научной школы и передовые международные исследования. Пособие ...
Added: September 29, 2026
Silakov D., Системный администратор 2026 С. 84–89
Social media users rarely think about what lies behind the beautiful facade of activity feeds, teeming with photos and video stories. However, the widespread popularity of such platforms generates a huge amount of all sorts of content that needs to be stored, processed quickly, and displayed, and in the era of AI, it also needs ...
Added: September 28, 2026
Ostapenko E., Ivanov I., JOURNAL OF EDUCATION AND LEARNING 2026 Vol. 20 No. 4 P. 2288–2295
In the Russian educational context, where structured extracurricular activities are widely promoted and institutionalized by the state, the role of unstructured after-school practices in shaping socioeconomic inequalities in academic achievement remains unexplored. This study examines how unstructured after-school activities are associated with students’ academic achievement, with a particular focus on whether these associations vary across ...
Added: September 27, 2026
Рупова Р. М., Вопросы теологии 2023 Т. 5 № 3
В рецензии рассматривается новый издательский проект, посвященный концептуальным основам христианской теологии образования. Предложенная в нем парадигма образования, в названии которой на первом месте стоит слово «теология», свидетельствует о том, что образованию придается богословски значимый статус, оно строится в перспективе базовых ценностей человеческого бытия, связанных с богочеловеческими отношениями. Лишь в силу выстраивания этой вертикали образование может ...
Added: September 25, 2026
Sorokin I., Tekic Z., Technology in Society 2026 Vol. 88 Article 103456
Generative AI (GenAI) digital products challenge established new product development and product success frameworks because performance after launch remains variable: outputs differ across runs and contexts, behavior can shift under drift, and realized value depends on user interaction, oversight, and governance at scale. Focusing on large language model (LLM)-based GenAI digital products, this study identifies ...
Added: September 23, 2026
Ulyanina O. A., Vikhrova E. N., RUDN Journal of Psychology and Pedagogics 2025 Vol. 22 No. 2 P. 337–360
Rapid digitalization of higher education and the rise of artificial intelligence (AI) in instruction call for careful evaluation of their impact on students. Traditional face-to-face lectures and those given by an AI-avatar, remote online courses, each create distinct conditions that shape the classroom psychological climate and comfort. Prior research shows AI integration increases engagement, but ...
Added: September 21, 2026
Kopylova E.V., Tsegoeva O. G., Berlin V.A. et al., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог». Выпуск 24Issue 24.: M.: Max press, 2026. Ch. 26 P. 1–10.
This paper investigates how large language models correct complex grammatical errors in Russian academic
learner writing. Unlike traditional minimal-edit GEC systems, LLMs often apply generative rewriting strategies that
may improve fluency, but risk structural overcorrection and semantic drift. We introduce a new expert benchmark
derived from an authentic 3,1M-word learner corpus and construct an evaluation set annotated for ...
Added: June 27, 2026
Cherednichenko O., Herbert A., Poptsova M., Computational and Structural Biotechnology Journal 2025 Vol. 27 P. 992–1000
Large language models (LLMs) in genomics have successfully predicted various functional genomic elements. While their performance is typically evaluated using genomic benchmark datasets, it remains unclear which LLM is best suited for specific downstream tasks, particularly for generating whole-genome annotations. Current LLMs in genomics fall into three main categories: transformer-based models, long convolution-based models, and state-space models ...
Added: June 19, 2026
Severin N., Kartushov D., Urzhumov V. et al., , in: Advances in Information Retrieval: 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 – April 2, 2026, Proceedings, Part II. (LNCS, volume 16484).: Cham: Springer Publishing Company, 2026. P. 508–517.
Sequential recommender systems have achieved significant success in modeling temporal user behavior but remain limited in cap-turing rich user semantics beyond interaction patterns. Large Language Models (LLMs) present opportunities to enhance user understanding with their reasoning capabilities, yet existing integration approaches cre-ate prohibitive inference costs in real time. To address these limitations, we present a ...
Added: June 18, 2026
Abdullaeva I., Karpukhin I., Filatov A. et al., IEEE Access 2026 Vol. 14 P. 59390–59408
Event sequences, a specialized type of tabular data annotated with timestamps, are prevalent across practical domains such as finance, retail, social networks, and healthcare. Despite the importance of event sequence modeling and analysis, there has been little effort to adapt Large Language Models (LLMs) to this domain. In this paper, we propose a novel solution ...
Added: June 16, 2026
Tyuryakova-Matveeva D., Цифровые гуманитарные исследования 2026 № 1 С. 4–26
The article explores cultural references in the works of Andrei Voznesensky by analyzing the personalities he mentions. A total of 1,678 works were processed, including poetry, prose, and early unpublished poems. NER methods based on Natasha, spaCy, and LLM Grok tools made it possible to study the frequency of mentions of famous people and their ...
Added: May 31, 2026
Omopekunola M., JOURNAL OF EDUCATIONAL TECHNOLOGY DEVELOPMENT AND EXCHANGE 2026 Vol. 19 No. 2 P. 141–165
Educational assessments, from low-stakes classroom tests to high-stakes national examinations, require item pools that are valid, fair, and secure. Automated Item Generation (AIG) aims to efficiently produce large pools of calibrated test items. This paper adopts a two-part design: (1) a brief historical mapping situating LLM-based AIG within the broader AIG trajectory; and (2) a ...
Added: May 5, 2026