Learner Journey – Placement & Employer Management

Summary: The article proposes a decision-making framework for faculty who suspect students have misused AI. Rather than relying on AI detectors or making immediate accusations, the framework encourages instructors to gather evidence, evaluate the context of the assignment, consider alternative explanations, and assess whether the concern reflects a learning issue, a policy violation, or a misunderstanding of expectations. The author argues that responses should be proportional and educational, emphasizing fairness, due process, and student learning. The framework aims to help instructors navigate AI-related concerns consistently while preserving trust and avoiding unsupported allegations. Observations: AI detectors alone are insufficient grounds for determining academic misconduct....

Summary: The article argues that artificial intelligence is contributing to a leadership development challenge among younger workers by automating tasks that have traditionally helped employees build judgment, communication skills, confidence, and decision-making experience. As AI increasingly performs research, analysis, and routine problem-solving, organizations risk creating a generation of professionals with fewer opportunities to develop the foundational capabilities needed for leadership roles. The author contends that employers and educators must intentionally create experiences that cultivate critical thinking, interpersonal skills, accountability, and real-world decision-making to prepare Gen Z for future leadership responsibilities. Observations: AI may reduce opportunities for...