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PENERAPAN STRATEGI GUIDED INQUIRY UNTUK MENINGKATKAN HASIL BELAJAR SISWA AMBON KONSEP SISTEM PERNAPASAN MANUSIA KELAS XI SMA NEGERI 12 AMBON

2015· article· en· W3029577938 on OpenAlexaff
Lodia Johanis

Bibliographic record

VenueBiopendix Jurnal Biologi Pendidikan dan Terapan · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Methods and Outcomes
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSMA*Class (philosophy)Mathematics educationProcess (computing)PsychologyTest (biology)Computer sciencePedagogyArtificial intelligenceProgramming languageBiology

Abstract

fetched live from OpenAlex

Background: The guided inquiry strategy is a set of learning activities that involves maximally all students' ability to search and investigate systematically, critically, logically, analytically, so that they are able to solve their own problems confidently. Based on the experience of researchers during the KKM in SMA Negeri 12 Ambon, it can be seen that most students have difficulty in biology learning process. It is commonly seen from very low student scores or not achieving KKM standards in the respiratory system material, whereas KKM specified in biology subjects especially class XI is 70. This is due to the teacher-centered learning process, where teachers who provide materials and students who heard. For that, researchers want to use guided inquiry strategy in this learning process, especially the concept of human respiratory system. Method: This type of research is qualitative with the aim to see the cognitive learning outcomes of the human respiratory system of the students of grade XI IPA of SMA Negeri 12 Ambon using Guided Inquiry strategy. This research was conducted in class XI SMA Negeri 12 Ambon District Nusaniwe Ambon city. The research procedure consists of several stages, namely: 1) Planning stage and 2) stage of research implementation. Before doing teaching and learning activities, researchers provide motivation to students about the respiratory system in humans. Then do a preliminary test to determine the initial ability of students. Students are divided into 5 groups and each group must fill the LKS already prepared by the researcher. Then the researchers began to apply guided inquiry strategy. Result: increasing number of students who get KKM 70 score in Biology subject, this is proven by the classification of mastery. Before the learning process (PBM), as many as 31 students of learning outcomes are not complete or get value under the KKM. After the teaching and learning activities are conducted by using the guided inquiry strategy of students whose learning outcomes are not complete or get the value under the KKM is reduced to 0 students. Conclusion: Learning biology with guided inquiry strategies can improve student learning outcomes XI IPA SMAN 12 Ambon

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.003

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 head0.242
GPT teacher head0.415
Teacher spread0.173 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations4
Published2015
Admission routes1
Has abstractyes

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