Lecturers’ Method in Teaching Speaking at the University of Iqra Buru
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.
Bibliographic record
Abstract
This research aimed to reveal; (1) what method was applied by lecturers in teaching speaking; (2) how was the method applied in the classroom; and (3) how was the students’ perception toward the implementation of the method. This research employed qualitative research. The respondent of the current research were two non-native English lecturers who taught at the University of Iqra Buru in Ambon, Maluku. To collect the data, three kinds of the instrument were used; observation, interview and documents examination. The data were analyzed using Miles & Huberman technique who proposed three concurrent flows of action: a) data reduction; b) data display; and c) conclusion drawing/verification. The researchers found that; 1) The most of the method used in teaching speaking were grammar translation method, task-based, and lexical approach; 2) The implementing method in teaching speaking at the university consisted of material presentation and classroom discussion; 3) The students have bad perception toward the implementation of lecturers’ method and learning activities in teaching speaking.
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 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 | 0.002 | 0.086 |
| 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 | 0.000 |
| Open science | 0.002 | 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