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The Implementation of Online Learning Based Schoology Application to Improve Students’ Abilities to Express Opinions

2021· article· en· W3146161528 on OpenAlexaff
Dilla Octavianingrum

Bibliographic record

VenueTeknodika · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology-Enhanced Education Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsAction researchMathematics educationPsychologyAcademic yearAction (physics)The artsMedical educationMedicine

Abstract

fetched live from OpenAlex

This research aims to describe online learning implementation based on the schoology application in improving students’ opinion skills. This study's subjects were 40 students of the performing arts education study program, isi yogyakarta, who attended the lesson planning course in the 2019/2020 academic year. This research employed classroom action research (car). The research stages comprised planning the action, implementing the action, observing and interpreting it, and analyzing and reflecting. The results showed that schoology-based online learning could improve students’ opinion skills because they could express their opinions in writing. Besides, the use of schoology was considered interesting and useful for online learning. An increase in students' ability to express their opinions was revealed during the implementation of schoology-based online learning. This increase was marked by the percentage of students’ abilities to express opinions in the lesson planning course, namely 26% (cycle i 62%, cycle ii 88%).

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.019
GPT teacher head0.416
Teacher spread0.397 · 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 designQualitative
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

Citations1
Published2021
Admission routes1
Has abstractyes

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