Challenges to Audit Education for the 21st Century: A Survey of Curricula, Course Content, and Delivery Methods
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 paper reports the results of a survey of auditing and assurance courses in the US and several other countries conducted during 2000-2001. The survey, commissioned by the Auditing Section of the American Accounting Association, yielded data on a total of 285 auditing and assurance courses taught at 188 colleges and universities in the United States, Canada, and several other countries. The syllabi data were analyzed on a number of dimensions and the results compared to two prior surveys of auditing courses (Frakes, 1987; Groomer and Heintz 1994). Our findings document substantial changes in content (e.g., new or expanded coverage of fraud, information technology, and assurance services) and pedagogy (e.g., increased use of team projects, student presentations, cases, and the Internet) in both introductory and advanced auditing courses over the past several years. These changes are discussed in the context of events that significantly impacted auditing education and practice from the late 1980s through the end of the 1990s
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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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