Implementation of Project-Based Learning (PjBL) Assisted by E-Learning through Lesson Study Activities to Improve the Quality of Learning in Physics Learning Planning Courses
Why this work is in the frame
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Bibliographic record
Abstract
This study aims to improve the quality of learning in physics learning planning courses through the implementation of Project Based Learning (PjBL) assisted by E-Learning through Lesson Study activities. This type of research was qualitative research through the stages of Lesson Study activities. Subjects in this study were the 5th-semester students who program 11 physics learning planning subjects in the 2018-2019 academic year in the Department of Physics Education, University of Papua. The research data was obtained through the student learning outcomes test instrument that was given after the submission of each topic of study, observation sheet of student activities, interview guidelines, documentation in the form of video recordings during open class implementation, and student response questionnaire. Data were analyzed through Rasch modeling with the help of the Winstep application to analyze student responses after learning. Lesson Study activities consist of three phases of activities, namely Plan, Do, and See. In the Plan stage discussions with the team of lecturers were held to develop Chapter Design and Lesson Plan. In the Do stage, the model lecturer based on the tools that have been prepared does learning. In the See stage, the reflection was done to find out weaknesses and strengths during learning which is then followed up on further learning. The results showed that student-learning outcomes increased student responses to good learning and learning atmosphere seemed very fun. Therefore, it can be concluded that through the implementation of PjBL assisted E-Learning through Lesson Study activities can improve the quality of learning in physics learning planning subjects.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it