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КОМПЕТЕНТНОСТЬ ШКОЛЬНИКОВ ДЛЯ ЖИЗНИ И УЧЕБЫ В ИИ-НАСЫЩЕННОЙ ЦИФРОВОЙ СРЕДЕ И ЕЕ ДОКАЗАТЕЛЬНОЕ ОЦЕНИВАНИЕ
Гл. 8. С. 55–61.
Ахметжанова А. А., Dvoretskaya I., Жумажанова С. К., Uvarov A.
Language:
Russian
In book
Казанский государственный университет, 2024.
Tarasova K., Talov D., Ivanova A., Высшее образование в России 2026 Т. 35 № 6 С. 127–148
The article examines the relationship between the use of generative artificial intelligence in learning and several AI-related characteristics of students at Russian universities. The study is based on the assumption that the frequency of AI use should not be treated as a direct indicator of AI literacy or competence in working with generative systems. Four ...
Added: June 29, 2026
Davydov S. G., Федоров В. В., Социологические исследования 2026 № 5 С. 141–147
Представлены результаты измерения ИИ-грамотности взрослого населения России. Исследование решает проблему отсутствия эмпирических данных о фактическом уровне владения компетенциями в сфере искусственного интеллекта среди граждан. Методика основана на самооценке владения пятью типами ИИ-инструментов по 5‑балльной шкале и последующем индексировании. Сбор информации осуществлен методом телефонного опроса (CATI) на общероссийской выборке проекта «ВЦИОМ–Спутник» (N = 1600). Выявлен уровень ...
Added: May 13, 2026
Davlatova M., Сперанская М. В., Высшее образование в России 2026 Т. 35 № 2 С. 53–73
In the context of the rapid development of Generative Artificial Intelligence (GenAI), prompt engineering is becoming a key competence for effective interaction with large language models in educational settings. However, the lack of a unified understanding of its nature, structure, and assessment tools complicates its integration into educational practice.
The aim of this study is to ...
Added: March 7, 2026
Akhmedjanova D., Suchkova S., Zharkova N., Journal of Language and Education 2025 Vol. 11 No. 4 P. 112–130
Introduction: Rapid advances in artificial intelligence are reshaping higher education and intensifying debate about the effectiveness, risks, and ethical implications of AI supported learning and academic writing. Yet faculty experiences with AI for research writing remain comparatively underexamined.
Purpose: To examine university faculty members’ experiences and perceptions of using AI tools to support research writing and ...
Added: January 13, 2026
Nazir Ahmed Jogezai, Jaffar M., Baloch F. A. et al., International Journal of Information and Learning Technology 2025 Vol. 42 No. 5 P. 409–425
Purpose
This study is aimed at explaining university teachers’ behavioral intentions to use generative artificial intelligence (GAI) in their instruction, considering the effect of their AI literacy (AIL), organizational guidelines (OG), pedagogical relevance (PR) of GAI and their previous experiences (PE) with AI.
Design/methodology/approach
Using an online survey instrument, 493 university faculty members across Pakistan provided data for ...
Added: September 19, 2025
Springer, 2025.
This three-volume set CCIS 2590-2592 constitutes poster papers and late breaking results, workshops and tutorials, practitioners, industry and policy track, doctoral consortium, blue sky and wideAIED papers presented at the 26th International Conference on Artificial Intelligence in Education, AIED 2025, held in Palermo, Italy, during July 22–26, 2025.
The 72 full papers and 73 short papers (72 ...
Added: September 4, 2025
Jogezai N., Baloch F. A., Jaffar M. et al., Quality Assurance in Education 2025 Vol. 33 No. 4 P. 618–634
Purpose – This study aims to explain the factors associated with university faculty’s use of pedagogically relevant (PR) generative artificial intelligence (GAI). These included AI literacy (AIL), organizational guidelines (OG), previous experience (PE) of using artificial intelligence (AI) and frequent interaction (FI) with GAI.
Design/methodology/approach – The study used a cross-sectional quantitative approach and collected data from 650 university faculty ...
Added: April 18, 2025