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Record W3134489528 · doi:10.9734/ajess/2021/v15i330379

About the Benefits of Adopting E-Learning in the Current Romanian Educational System

2021· article· en· W3134489528 on OpenAlex
Bogdan-Vasile Cioruța, Monica Lauran, Mirela Coman, Alexandru Leonard Pop, Alexandru Lauran

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAsian Journal of Education and Social Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education Systems and Policies
Canadian institutionsScience North
Fundersnot available
KeywordsRomanianExemplificationE learningPerceptionContext (archaeology)Online learningPedagogyPsychologyTransition (genetics)SociologyMathematics educationComputer scienceMultimediaEducational technologyEpistemology

Abstract

fetched live from OpenAlex

Starting from the current context, of the transition of educational activities in the online environment, we will try to outline some aspects that e-learning covers. Through this study, we aim to synthesize the general perception of those involved in the Romanian education system, where it was possible to obtain relevant information. Based on the online discussions with the students, as well as based on the meetings we had with colleagues, we decided to present the perception of the interviewees regarding online education. Equally, following the answers received, we aimed to expose the favorable (pros) and less favorable (cons) aspects of the transition to e-learning in the Romanian education system. Their exemplification was made taking into account the options of the main actors involved in education; for each of them (teachers or formators, students, parents) the possible benefits or disadvantages were highlighted in relation to the education carried out exclusively online.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score0.697

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.057
GPT teacher head0.394
Teacher spread0.337 · 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