Journal Club Plan- Train like an "OBM-er"- 1/6/26- 1/27/26
Week 1 — Teaching Feedback Reception Efficiently Topic: Preparing Staff to Benefit From Feedback Article: Flynn, K. E., & Wilder, D. A. (2025). An Evaluation of Task Clarification and Feedback to Teach Feedback Reception Skills. Journal of Organizational Behavior Management. https://doi.org/10.1080/01608061.2025.2468190Anevaluationoftaskclarification… Summary: This study evaluated whether task clarification could teach staff how to receive feedback appropriately. Some staff improved with clear expectations alone, while others required added performance feedback. The findings support low-cost strategies for improving how staff respond to supervision at scale. Week 2 — Scaling Staff Training Through Pyramidal Models Topic: Training Staff to Train Other Staff Article: Ólafsdóttir, A. B., Sveinbjörnsdóttir, B., & Gunnarsson, K. F. (2025). Expanding the Pyramidal Staff Training Approach. Journal of Organizational Behavior Management. https://doi.org/10.1080/01608061.2025.2499447Expandingthepyramidalstafftrain… Summary: This study examined a four-tier pyramidal BST model for training staff to implement Functional Communication Training. Skills were successfully transferred across tiers with acceptable procedural integrity. Results support pyramidal training as a practical approach when expert trainers are limited. Week 3 — AI-Supported Video Feedback at Scale Topic: Automating Performance Feedback With Technology Article: Espericueta Luna, W. A., Wu, Y. J., Luo, Y., Hu, B., & Gravina, N. (2025). Using AI-Powered Video Feedback to Improve Ergonomics: An Analog Experiment. Journal of Organizational Behavior Management. https://doi.org/10.1080/01608061.2025.2482157UsingAI-Poweredvideofeedbacktoi… Summary: This study used an AI-powered app to deliver automated video feedback on ergonomic posture. Participants improved safe neck positioning, and AI measurements closely matched gold-standard systems. The findings demonstrate how technology can provide accurate, scalable feedback without ongoing human observation.