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«Talgenism» in the Digital Age: A Domestic History of cMOOC

2020· article· en· W3093261918 on OpenAlexaboutno aff
Makhfuza Abduvaitovna Babaeva, Evgeny B. Golubev

Bibliographic record

VenueVysshee Obrazovanie v Rossii = Higher Education in Russia · 2020
Typearticle
Languageen
FieldComputer Science
TopicOnline Learning and Analytics
Canadian institutionsnot available
Fundersnot available
KeywordsConnectivismBehaviorismLearning theoryCognitivism (psychology)SociologyConstructivism (international relations)Mathematics educationPedagogyEpistemologyPsychologyPhilosophy

Abstract

fetched live from OpenAlex

The authors consider the questions of the transformation of educational space in the modern digital era. They focus on the weakness of the theoretical foundation of e-learning in the context of mass practice of its implementation and application and discuss the legitimacy of applying traditional theories to e-learning in a radically changed educational space and the need to develop a new theory. Cognitivism, constructivism, and behaviorism are the basis of the traditional pedagogical system (class-lesson in school and lecture-seminar in universities). It is shown that a different pedagogical system is represented by connectivism – the theoretical construction of G. Siemens who created it as a “theory of the digital age.” On the basis of connectivism and for its study, G. Siemens and S. Downs have developed the first massive open online courses (cMOOC) – and this theoretical design was put into practice. One more learning technology similar to the connectivism was discovered, which is also based on a pedagogical system different from the traditional one. This made it possible to give the “learning theory of the digital age” a noticeable “historical volume”. The roots of the modern connectivism of massive open online courses have been discovered in Russia. One hundred years ago, the famous teacher Alexander Rivin for the first time realized the idea of collective mutual learning. This method which he called “talgenism” (a derivative of “talent” and “genius”) relied on “dialogical communication” in variable pairs and allowed to achieve incredible results in the joint training of people of different ages and different levels of training. The article traces the historical milestones of the development of the method of collective mutual learning in Russia and adduces the documentary evidence of experiments on the creation of a fundamentally different pedagogical system. The authors argue that the method of collective mutual learning (talgenism) of the Russian teacher A.G. Rivin and the technology of modern connectivism implemented in the massive open online courses with cMOOC of Canadian researchers G. Siemens and S. Downs have common key features. Despite the time and geographical gap (Russia, 1918 and Canada, 2008), each of these technologies makes it possible a fundamentally new learning process focused on the needs of a student, the organization of which is practically unattainable with a traditional class-lesson or lecture-seminar system. Both technologies are presented as effective practical implementations of the new education paradigm, which allows us to carefully and comprehensively study its elements. A conclusion is drawn on the prerequisites for the creation of a new learning theory which would become the foundation for a new time alternative pedagogy which could claim the status of a general theory, a base not only for distance, electronic, but also for classroom learning.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score0.609

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 head0.022
GPT teacher head0.284
Teacher spread0.261 · 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 designObservational
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

Citations7
Published2020
Admission routes1
Has abstractyes

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