An Evaluative Study of Memorization as a Strategy for Learning English
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 exploratory study elicits learners’ views regarding the utility of using memorization as a strategy for learning English. It exclusively investigates the extent of learners’ use of the memorization strategy, the reasons that motivate them to memorize, the problems they encounter and the techniques they resort to to overcome these problems. 66 undergraduate participants answered a thirty-item questionnaire. The results revealed that most efficient as well as inefficient learners used the memorization strategy mainly for learning vocabulary, definitions, and literary texts. They were in favour of using this strategy because it helps them improve their achievements in English. It was found that understanding should be given priority over the memorization activity. Learners who adopt this strategy often forget what they memorized, could not differentiate between important and unimportant information, and were incompetent to make inferences. It can be concluded that memorization is a low-level cognitive strategy that can be used among other high- level cognitive strategies in the process of learning English.
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 | 0.001 | 0.078 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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