Modernizing Training in Psychotherapy Competencies With Adaptive Learning Systems: Proof of Concept

Abstract

Purpose: This proof-of-concept study assessed the feasibility, acceptability, and effectiveness of an intelligent tutoring system (ITS) as a classroom adjunct to improve training bachelor of social work (BSW) students in client engagement strategies. Methods: We codeveloped the ITS with 11 undergraduate students and pilot tested it with six BSW students enrolled in a class on telephone-based cognitive behavioral therapy (tCBT). Student competencies in tCBT were assessed by expert review of role-plays. We also examined time spent using ITS and relation with competency. Results: The majority of students (81.8%) in Wave 1 and all of the students who submitted role-plays in Wave 2 passed the clinical skills role-play. Students advancing through the ITS more quickly had better tCBT competency ratings than those progressing more slowly. Discussion: One of the most challenging aspects of training is how to competently deliver evidence-based practices. ITS has the potential to streamline and scale such training.

Future perspectives: the next fifty years of the International Association for the Study of Pain

“…Personalized learning, adaptive testing, and intelligent tutoring systems will be able to help educators better understand their trainees' strengths and weaknesses, and tailor their instruction accordingly. 9 Artificial intelligence could help automate assessment of test responses or provide feedback on how tasks were performed. 12 It is possible that AI will become even more sophisticated and capable of providing even more personalized, interactive, and effective learning experiences.…”