This study compares two LLM-based approaches for detecting gaming behavior in students’ open-ended responses within a math digital learning game. The sentence embedding method outperformed the prompt-based approach and was more conservative. Consistent with prior research, gaming correlated negatively with learning, highlighting LLMs’ potential to detect disengagement in open-ended tasks.