Table 3.
AI/ML education experience and interest.
| m or n | (SD) or % | Range | |
|---|---|---|---|
| n have heard of machine learning | 36 | 97% | – |
| n are familiar with big data analytics | 29 | 78% | – |
| n have read AI/ML mental health journal articles | 23 | 62% | – |
| AI/ML education during the degree (n h)* | |||
| So far | 6.18 | (16.63) | 0 – 100 |
| Predicted | 12.43 | (16.39) | 0 – 60 |
| Intend to learn about AI/ML as it pertains to mental health care | |||
| Yes | 17 | 46% | - |
| No | 4 | 11% | - |
| Unsure | 16 | 43% | - |
| Discussion about AI/ML should be part of clinical psychology education.** | 4 (Moderately agree) | (1.48) |
m, mean; n, count; SD, standard deviation; %, percentage.
Items, for which m and SD were calculated.
Answer was a rating on a five-point agreement Likert scale, where 1) Strongly disagree, 2) Moderately disagree, 3) Neutral, 4) Moderately agree and 5) Strongly agree.