HIERARCHICAL ENCODING AND CONDITIONAL ATTENTION IN NEURAL MACHINE TRANSLATION

Constructivist learning theory posits that learners develop their comprehension and knowledge of the world by reflecting on their experiences. This theory stresses the importance of active, learner-centered education, in which students develop critical thinking skills, solve problems, and build upon their prior knowledge. Constructivist methodologies can substantially improve language acquisition and proficiency in the context of English instruction. This paper investigates the fundamental principles of constructivist learning theory and evaluates its practical applications in English as a Foreign Language (EFL) instruction. The efficacy of critical strategies, including scaffolding, authentic tasks, and collaborative learning, are emphasized in cultivating a dynamic and interactive learning environment. In addition, the adaptability of constructivist methods in various educational environments is examined, allowing educators to customize their teaching strategies to accommodate the distinctive requirements of English language learners. This paper endeavors to provide educators with a comprehensive framework for integrating constructivist principles into their English teaching practices, thereby improving student engagement and language mastery through thoroughly examining literature and case studies.

Authors

Publication Details

Journal
The American Journal of Social Science and Education Innovations
Published
2024-09-01
DOI
https://doi.org/10.37547/tajssei/volume06issue09-04
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

HIERARCHICAL ENCODING AND CONDITIONAL ATTENTION IN NEURAL MACHINE TRANSLATION

Yaroslav Starukhin, Natalia Trankova, Dmitrii Rykunov, Ivan Giganov et al.
The American Journal of Social Science and Education Innovations
Natural Language Processing Techniques
article

HIERARCHICAL ENCODING AND CONDITIONAL ATTENTION IN NEURAL MACHINE TRANSLATION

Yaroslav Starukhin, Natalia Trankova, Dmitrii Rykunov, Ivan Giganov, I. N. Serov
article en

Abstract

Constructivist learning theory posits that learners develop their comprehension and knowledge of the world by reflecting on their experiences. This theory stresses the importance of active, learner-centered education, in which students develop critical thinking skills, solve problems, and build upon their prior knowledge. Constructivist methodologies can substantially improve language acquisition and proficiency in the context of English instruction. This paper investigates the fundamental principles of constructivist learning theory and evaluates its practical applications in English as a Foreign Language (EFL) instruction. The efficacy of critical strategies, including scaffolding, authentic tasks, and collaborative learning, are emphasized in cultivating a dynamic and interactive learning environment. In addition, the adaptability of constructivist methods in various educational environments is examined, allowing educators to customize their teaching strategies to accommodate the distinctive requirements of English language learners. This paper endeavors to provide educators with a comprehensive framework for integrating constructivist principles into their English teaching practices, thereby improving student engagement and language mastery through thoroughly examining literature and case studies.

The American Journal of Social Science and Education InnovationsVol. 6(9)
Openalex Percentile: Top 87%
Natural Language Processing Techniques
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HIERARCHICAL ENCODING AND CONDITIONAL ATTENTION IN NEURAL MACHINE TRANSLATION — Yaroslav Starukhin, Natalia Trankova, et al. · The American Journal of Social Science and Education Innovations (2024) | TGRS Research Map | TGRS