Table 4 Relative and Absolute Frequencies of the Category Levels Generated by AI
From: Characteristics of learning tasks in accounting textbooks: an AI assisted analysis
Construct | Category level | Applied AI method | |||
|---|---|---|---|---|---|
0 | 1 | 2 | |||
Process orientation | 1914 (57%) | 915 (27%) | 532 (16%) | Neural Net | |
Description of social processes | 2812 (84%) | 491 (15%) | 58 (2%) | Neural Net | |
Description of goods and services | 2784 (83%) | 577 (17%) | 0 (0%) | Neural Net | |
Description of cash flows | 2713 (81%) | 648 (19%) | 0 (0%) | Neural Net | |
Document orientation | 3271 (97%) | 0 (0%) | 90 (3%) | Random Forest | |
Identification of problems | 2292 (68%) | 1059 (32%) | 10 (0%) | Random Forest | |
Obtaining missing information | 1902 (57%) | 963 (29%) | 496 (15%) | Neural Net | |
Assessing the relevance of information | 3361 (100%) | 0 (0%) | Neural Net | ||
Translate | 2866 (85%) | 495 (15%) | Random Forest | ||
Operate | 1260 (38%) | 2101 (62%) | Random Forest | ||
Interpret | 2431 (72%) | 930 (27%) | Neural Net | ||
Interpret: liquidity aspects | 3187 (95%) | 174 (5%) | Neural Net | ||
Interpret: profitability aspects | 2618 (78%) | 743 (22%) | Neural Net | ||
Validate | 3359 (100%) | 2 (0%) | Random Forest | ||