The effect of accounting education reform on quality of accounting services: The case of Kosovo
Bibliographic record
Abstract
Accounting education is the main factor that is influencing the improvement of the state of accounting services and the quality of accounting. The XXI century has influenced great changes in different fields, applying different tools of technology and for this reason, the field of accounting education has faced reforms and adaptation to new forms of application. The adaptation of accounting education to ISCE is a very important factor in the adaptation of accounting services worldwide. For this reason, research was presented, which measured the impact of accounting education reforms on accounting services in Kosovo, i.e. the adaptation of accounting education programs to ISCE and curricula. Professors from accounting universities and professors of accounting in high schools in Kosovo were surveyed for this. The sample was random, with one in three teachers selected. Data were analyzed through the SPSS program, while regression and correlation method was used to validate the hypothesis. Based on the results we see that the implementation of reforms in the framework of accounting education and adaptation to ISCE has an impact on the quality of accounting services at both university level (p-value ≤ 0.01) and secondary level (p-value ≤ 0.01). Correlation analysis shows that we have a significant relationship between the implementation of accounting education reforms and the quality of accounting services (rho = .628 **, p-value <0.01) at both university and secondary level (rho = .652 **, p-value <0.01). Finally, the implementation of accounting education reforms is well on the way to the development of accounting education in Kosovo, so we must have a proactive approach to the development of this field.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".