Graduate counseling students rarely get to rehearse suicide risk and behavioral threat assessment before doing it with real youth, because live cases cannot be summoned on demand and practicum exposure is uneven. This AI Spark gives every student unlimited, developmentally realistic practice interviewing a simulated adolescent client and determining risk or threat level, with immediate structured feedback against established clinical frameworks.
Students enrolled in the Evaluation of Training in Human Performance Technology course form groups to lead an instructional session on a real case from the textbook, learning to apply human performance evaluation concepts in authentic organizational contexts. This Spark helps students synthesize source materials and iteratively create multi-modal learning artifacts to support their student-led online class discussions.
The purpose of this activity is to provide doctoral students with authentic feedback that can be delivered by a professional peer reviewer during a journal article review process and to encourage them to write a response letter to process the feedback provided. Providing meaningful feedback and getting learners to process the feedback are different phenomena, and the latter is less common.
This AI Spark allows asynchronous students the opportunity to engage in a structured simulation that gives them specific opportunities to learn to gain information, build relationships, and support the student reaching their goal despite barriers and/or resistance.
