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Record W4391552366 · doi:10.30970/vpe.2023.39.12033

Blended learning as a way to the regeneration of modern education

2023· article· en· W4391552366 on OpenAlexaboutno aff
Valentina Delenko, Maria-Tereza Sholovii

Bibliographic record

VenueVisnyk of the Lviv University Series Pedagogics · 2023
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsRegeneration (biology)Blended learningMathematics educationPsychologyEducational technologyCell biologyBiology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.280
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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