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Record W3128957401 · doi:10.51529/ijiece.v5i1.213

Evaluasi Pembelajaran Teknologi Informasi dan Komunikasi (TIK) di Raudhotul Athfal

2020· article· id· W3128957401 on OpenAlexvenueno aff
Aip Saripudin, Mauliana Zahrani

Bibliographic record

VenueEarly childhood education · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicTechnology-Enhanced Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDocumentationContext (archaeology)CurriculumData collectionPsychologyPedagogyMathematics educationSociologyComputer scienceSocial scienceGeography

Abstract

fetched live from OpenAlex

Abstract RA Baiturrahman Cirebon has implemented TIK learning while orther schools have not implemted TIK learning, teachers are following technological developments, but cannot utilize TIK so the lack of knowing the positive and negative impeck on the use of TIK. This study aims to determine the evaluation of Information and Communication Technology learning in RA Baiturrahman Cirebon in terms of the Context, Input, Process, and Product (CIPP) components. This type of research is descriptive qualitative. In addition, researchers used the Context, Input, Process, and Product (CIPP) evaluation model. Data sources from this study are principals, IT teachers, parents, learning activities, learning planning and learning media. Data collection techniques using interviews, observation and documentation. The evaluation results of TIK learning in the context aspect, there is a 2013 curriculum and is accompanied by the preparation of RPPM and RPPH, the results of evaluating TIK  aspects of input aspects, namely about students, the role of parents in TIK learning, educators who are in accordance with government regulations and adequate facilities and infrastructure. The results of the evaluation of TIK learning in aspects of the process that is the teacher uses the group method in learning, using media that is already available in the implementation there is a core opening and closing review of learning again, then in the evaluation that is by assessment using letters.   Keywords :  Evaluationof Information, Communication Technologi Learning   Abstrak RA Baiturrahman yang berada di kota Cirebon telah menerapkan pembelajaran Teknologi Informasi dan Komunikasi, sementara terdapat beberapa sekolah lain yang belum menerapkan pembelajaran TIK. Banyak guru yang mengikuti perkembangan teknologi, tetapi tidak bisa memanfaatkan teknologi Informasi dan komunikasi (TIK) dengan tepat, sehingga kurangnya mengetahui akan dampak positif dan negatif terhadap penggunaan Teknologi Informasi dan Komunikasi (TIK). Penelitian ini bertujuan untuk mengetahui hasil evaluasi pembelajaran Teknologi Informasi dan Komunikasi di RA Baiturrahman Cirebon ditinjau dari komponen Context, Input, Process, dan Product (CIPP). Penelitian ini menggunakan jenis kualitatif deskriptif. Dengan menerapkan  model evaluasi Context, Input, Process, dan Product (CIPP). Sumber data dari penelitian ini adalah kepala sekolah, guru IT dan orang tua peserta didik, kegiatan pembelajaran, perencanaan pembelajaran dan media pembelajaran. Teknik pengumpulan data menggunakan wawancara, observasi dan juga dokumentasi. Hasil evaluasi pembelajaran TIK di RA Baiturrahman dengan aspek konteks, terdapat kurikulum 2013 dan disertai dengan pembuatan RPPM dan RPPH, hasil evaluasi pembelaaran TIK dengan aspek input, yaitu tentang siswa, peranan orang tua terhadap pembelajaran TIK, tenaga pendidik yang sudah sesuai dengan perturan pemerintah dan sarana dan prasarana yang memadai. Hasil evaluasi pembelajaran TIK dengan aspek proses yaitu guru menggunakan metode berkolompok dalam pembelajaran, menggunakan media yang sudah tersedia saja dalam pelaksanaan ada pembukaan inti dan penutup mengulas pembelajaran kembali, lalu dalam evaluasi yaitu dengan penilaian menggunakan huruf. Hasil evaluasi pembelajaran TIK dengan aspek prodak yaitu hasil anak dalam pembelajaran TIK. Pembelajaran TIK di RA Baiturrahman telah dilakukan sesuai dengan indikator yang diharapkan.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.021
GPT teacher head0.297
Teacher spread0.276 · 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.

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
Published2020
Admission routes1
Has abstractyes

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