Integrating AI tools and non-formal digital environments to enhance learner motivation and efficiency
Дата
2026
Науковий керівник
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Видавець
Mezinárodní Ekonomický Institut
Анотація
This study investigates the transformation of the educational landscape through the integration of artificial intelligence (AI) tools and non-formal digital learning environments to enhance learner motivation and instructional efficiency. Grounded in Self-Determination Theory (SDT) and Cognitive Load Theory, the research analyzes how adaptive learning platforms and Natural Language Processing (NLP) systems function as cognitive scaffolds, providing personalized learning trajectories and real-time feedback while reducing the administrative burden on educators. Furthermore, it explores the pedagogical potential of non-formal education modalities, such as Massive Open Online Courses (MOOCs) and microlearning frameworks, demonstrating that segmenting content into manageable, high-impact modules mitigates cognitive overload and improves knowledge retention by approximately 20%. The findings emphasize that sustaining student intrinsic motivation in asynchronous online environments requires instructional designs that proactively satisfy learners' basic psychological needs for autonomy, competence, and relatedness, augmented by predictive learning analytics to detect early signs of disengagement.
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Бібліографічний опис
Zhukevych, I. P. Integrating AI tools and non-formal digital environments to enhance learner motivation and efficiency / Zhukevych I. P., Biriukova N. A. // Moderní aspekty vědy: LXVII. Díl mezinárodní kolektivní monografie. – Česká republika : Mezinárodní Ekonomický Institut, 2026. – Str. 223–284. – Bibliogr.: 26 ref.