Blended learning as a way to the regeneration of modern education
Bibliographic record
Abstract
The the concept of blended learning, emphasizing the combination of traditional and online methods is discussed. The traditional model of blended learning and its key elements is presented. The article is dedicated to a detailed analysis of regulatory documents, outlining the main directions and recommendations for integrating this approach into the educational system. Active research of foreign practices (specifically in the USA, Canada, Australia, Norway, and the Netherlands) as well as domestic ones allows for a deeper understanding of the specifics and challenges of applying blended learning models in higher education institutions. Special attention is given to analyzing their effectiveness and the impact on the quality of student education. The progress in the development of information and communication technologies, coupled with the unexpected global pandemic, has led to significant changes in all areas of life, especially in education, intensifying the need for adaptation and exploring new learning approaches. As a result of the changes in the educational sector, the organization of the educational process has undergone significant adjustments and updates. One of the key innovations has been the implementation of blended learning. The article comprehensively outlines the main aspects of this approach, highlights its application possibilities, and points out specific benefits for students and educators. It separately discusses technical and organizational challenges that educators might face when planning, organizing, and implementing blended learning in real-world practice. It is clarified that a primary feature of blended learning is the dynamic interaction of participants in the educational process. This interaction is based on a combination of various types of learning, such as remote (online) and traditional (offline) learning. It should be emphasized that most scholars support the idea that blended learning is not merely a mixture of different formats but an integrated process of acquiring knowledge, skills, and abilities, where the combination of modern and traditional learning technologies plays a pivotal role. It has been found that, despite the sustained interest of scholars in this issue and numerous studies, the topic of blended learning as an innovative way to rejuvenate modern education remains relevant and not fully addressed to this day. This attests to the complexity and multifaceted nature of this subject. It’s determined that the preparation of educators for the organization of blended learning in higher education institutions is of particular significance. Indeed, for the effective implementation of such a learning model, educators must be proficient not only in traditional teaching methods but also in modern technological tools. Therefore, studying this aspect, as well as developing programs for training and upgrading the qualifications of teaching staff in the context of blended learning, is a priority for the contemporary education system. Keywords: blended learning, blended learning models, foreign experience, education.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".