The Rigour of IFRS Education in the USA: Analysis, Reflection and Innovativeness
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
International Financial Reporting Standards (IFRS) are accepted throughout the world, particularly in the European Union, Australia, New Zealand and Canada. Emerging economies are also are aligning their practices with IFRS. Historically, the USA has been cautious about accepting IFRS. However, following acceptance of IFRS worldwide, the US Securities and Exchange Commission has recently allowed the filing of IFRS-based financial statements from foreign issuers and is presently considering the same from domestic issuers. Owing to lack of IFRS education and training in the country, concerns have been expressed about such moves of the USA towards IFRS. Following such concerns, the aim of the present study is to review previous literature on IFRS education to reflect on the present status of IFRS education in the USA. The research method includes a review of past literature on IFRS education in the Business Source Complete database from 2001 to 2012. In line with the review, this study reports that active learning approaches that stimulate critical thinking and judgement skills of students are the best methods to teach IFRS. The studies reviewed also report the lack of teaching materials, including software and technologies, to effectively teach IFRS. The only active learning strategies advocated in previous studies were the use of case studies and real life examples. Additionally, this study advocates the use of problem-based learning strategies. This study also reports the lack of research investigating students’ and educators' perceptions of available resources and approaches. Future studies are suggested in this direction, employing surveys and interviews.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it