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Record W3207883544 · doi:10.29040/jie.v5i2.3433

DAMPAK PANDEMIK COVID-19 TERHADAP AKTIFITAS MAHASISWA PTS DILINGKUNGAN LLDIKTI 4

2021· article· en· W3207883544 on OpenAlex

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

VenueJURNAL ILMIAH EDUNOMIKA · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Curriculum and Learning Methods
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPandemicEnthusiasmCoronavirus disease 2019 (COVID-19)Distance educationInformation and Communications TechnologyPublic relationsPsychologyMedical educationBusinessPolitical sciencePedagogyMedicine

Abstract

fetched live from OpenAlex

The purpose of this study was to determine the level of impact of the COVID-19 pandemic on PTS student activities in the LLDIKTI 4 environment. So that educational institutions will know the positive and negative impacts of learning that is being carried out at this time. In the COVID-19 pandemic situation, distance learning is still the main choice, although there are still many obstacles experienced by both students and educators. On the other hand, learning during this pandemic provides an extraordinary experience for students and educators in implementing PBM. Educators, especially elderly lecturers who were previously indifferent to information and communication technology (ICT) based learning, are now forced to want to learn. Likewise, Private Universities which were initially still hesitant, slowly began to learn to develop WEB-based Private Higher Education management. The form of online learning in universities in the LLDTI4 environment during the covid 19 pandemic is the use of applications. Applications that are widely used are zoom applications, and google meet. This means that in general PTS in the LLDIKTI4 environment are ready with the facilities and infrastructure along with their human resources. The enthusiasm of students to study in this pandemic condition is quite high, this can be seen from their ability if they have to graduate during a pandemic and later in the field they have to compete with other students who graduated before the pandemic. In general, technology has spread in remote parts of Indonesia, this is a positive aspect of the impact of covid-19, all aspects of life are forced to be ready quickly with technological advances, both government and educational institutions, especially in the field of facilities and infrastructure or human resources. It remains only to fix the lack of intrastructure in remote areas so that the signal and network can be reached properly. The most important lesson from the impact of the COVID-19 pandemic is that learning for certain subjects (not practicum/practice courses) can be carried out online or online with facilities and infrastructure and human resources that are owned by PTS-PTS in the LLDIKTI4 environment even though the pandemic has passed one day. later.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.093
GPT teacher head0.437
Teacher spread0.344 · 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