Application of sequential pattern mining to assessment of psychological crisis intervention skills / 上海交通大学学报（医学版）

ABSTRACT

Objective: To explore the application of sequential pattern mining to the field of mental health, and analyze the role of the courses in improving the crisis intervention skills of mental health service personnel. Methods: The learning log data recorded by the online learning platform was used for sequential pattern mining, and the activity map was used to visually analyze the learning paths of learners with different learning performances. Results: In each case study, the number of high-frequency sequences of learners with different learning performance had significant differences, which were high-performance group > medium-performance group > low-performance group. In the crisis intervention consultation learning process, the high-performance group learners had the most diverse learning paths; the medium-performance group lacked the mastery of the several specific steps of the six-step model of crisis intervention, and the learning path integrity was poor; the low-performance group did not have a complete learning path. Conclusion: Diversified crisis intervention strategies are conducive to the smooth progress of the consultation process. Learners with different learning performance should develop corresponding skills development strategies according to their learning characteristics.