Proficiency Perceptions and Attitudes of Pre-Service Teachers on İnformation and Communication Technologies
Bibliographic record
Abstract
The aim of this study is to examine teacher candidates’ perceptions of their own proficiency in using information and communication technologies and their attitudes towards information and communication technologies in terms of gender, major, internet usage frequency and computer ownership. The study group consists of 336 teacher candidates, 98 male (29%) and 238 female (71%) senior students, in different departments at Cumhuriyet University Faculty of Education during the 2017-2018 academic year. The “Proficiency Perception Scale for Using Information and Communication Technologies” and “The Attitude Scale for Information and Communication Technologies” developed by different researchers were administered to the candidate teachers. As a result of the findings obtained from the research, there was no significant difference between proficiency levels of the teacher candidates regarding the use of information and communication technologies. Besides, there was not significant difference between the means of attitude towards information and communication technologies in terms of majors and the internet usage frequency, and between the mean proficiency perception scores of using information and communication technologies with regard to gender. It was ascertained that there was a slightly meaningful difference between the attitudes scores for information and communication technologies in favor of males in terms of gender, and as to computer ownership, there was a low level of difference between both attitude and perception scores in favor of computer owners. The findings are discussed within the scope of literature.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".