Fostering Saudi EFL Learners’ Communicative, Collaborative and Critical Thinking Skills Through the Technique of In-Class Debate
Bibliographic record
Abstract
Diverse learning styles of the learners require instructors to utilize wide variety of instructional strategies to engage their interest and motivation. In-class debate is a systematic instructional strategy utilized to bring the dynamics of social life into the classroom to cultivate learners’ active-involvement in the content of the subject. It hones learners’ range of skills, such as; oral-communication, social-interaction, critical thinking skills and internalization of the course content. For the purposes of present study, the researcher utilized qualitative cum quantitative research tools to collect the data from the participants. An opinionnaire with 14 items was developed with closed ended questions. The instrument was designed to measure four variables, which are tabulated into four sections (See tables 3-6): (a) in-class debate inculcates learners’ collaborative, communicative and cooperative paradigms;(b) it triggers learners’ complete mastery of the course content, i.e., retention, assimilation and understanding, coupled with boosts stack of skills involved in the process; (c) it fosters EFL learners’ ability to critically evaluate and analyze everything; and (d) finally it focuses on learners’ creative and critical thinking skills and make them active and independent pursuers of knowledge. The survey was administered to 87 female EFL learners of Taif University to identify the impacts of debate on their range of academic skills. The findings of the study indicate that in-class debate effectively generates learners’ several skills since it targets their thinking skill, contemplation, reflection and ultimately stimulates their productive, receptive, analytical and critical thinking skills. Yet, more faculties can be activated and maximum results can be obtained, if this interactive strategy is implemented in a structured format with a properly designed rubric focusing on learners’ specific skills.
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How this classification was reachedexpand
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 | 0.001 | 0.125 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".