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    Educational potential of Russian senior citizens by Т. I. Kasyanova, L. I. Voronina, T. M. Rezer

    Published 2020-03-01
    “…Comparative theoretical analysis of Russian and foreign solutions to the problems under discussion has shown that in Russia there is a legislative framework for managing the development of educational potential of senior citizens. …”
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  3. 563

    ANTINOMY OF THE MODERN AVERAGE PROFESSIONAL EDUCATION by A. A. Listvin

    Published 2017-02-01
    “…The research is based on the analysis of normative and program documents in the field of SPE, realization of competence-based approach in practice of activity of establishments of professional education.Results and scientific novelty consist in identification and designation of the obvious and hidden antinomy existing in the SPE system now. …”
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    Technical efficiency of teff production in South Soddo District, Gurage Zone, Central Ethiopia Regional State, Ethiopia by Seid Mohamed Hussen, Anbes Tenaye

    Published 2025-05-01
    “…The study used the Stochastic Frontier Analysis (SFA) method, specifically the Cobb–Douglas production function, to analyze the data, allowing for the distinction between random errors and inefficiency. …”
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  6. 566

    Scientific Translation and its Social Functions: a Descriptive-Functional Approach to Scientific Textbook Translation in China by Fan Xiangtao

    Published 2007-01-01
    “…Adopting the descriptive-functional methodology and with reference to statistical analysis, this paper describes and examines this translation phenomenon, including the historical-cultural context which affected and constrained the translation selections of such textbooks, the translating process, and their criticism and social functions. …”
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  7. 567

    Evaluating the Integration of Technology by Teachers in E-Education in Elementary Schools Based on the International Standards for Technology in Education (ISTE) by Maryam Pourjamshidi

    Published 2024-03-01
    “…Since all obtained means exceeded the statistical mean of 3, the differences were significant at the 0.01 level. Additionally, data analysis showed no significant differences in technology integration in e-learning classrooms based on demographic factors like age (F=0.065; P=0.968), education level (F=0.094; P=0.951), and teaching experience (F=0.659; P=0.567).Discussion and ConclusionThis research revealed that the technology integration by teachers in e-learning is at a favorable level according to ISTE standards. …”
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