The Perceptions of Information Literacy by Students in English Language Departments: A Comparative Study
Bibliographic record
Abstract
Information literacy is a fundamental component of the educational process. One of the most essential considerationsinvolved in the course of providing effective education to students, is the need to instil in them the need to be awareof the information and facts that most impact their own lives and the societies in which they live. Informationliteracy includes accessing the essential pieces of information that are necessary for the purpose of functioning as afully informed adult in a democratic society. When these statements are considered within the scope of education andforeign or second language teaching, it is apparent that teachers need to be information literates since they are theones who transfer information or show the way towards it. In order to find out the Information literacy levels of thestudents of two state universities in Turkey, a survey was conducted in the study. The participants were the studentsof the English Language and Literature departments of these universities. As one of universities prefers to remainanonymous, we called them University1 and 2 in the study. University 1 had 50 participants and University 2 had 47,so there were a total of 97 participants in the survey. Descriptive research design was used in this research. The twouniversities were compared, from the point of view of information literacy awareness in the study, and somedifferences were found. For further studies, many more universities can be included in order to obtain a more generaland common conclusions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".