Promoting self-regulated learning skills in agent-based learning environments

We have developed computer environments that support learning by teaching, concept mapping, scaffolding, and the use of self regulated learning (SRL) skills by social interactions with virtual agents. More specifically, students teach a computer agent, Betty, and can monitor her progress by asking her questions and getting her to take quizzes. The system provides SRL support via dialog-embedded prompts. Our primary goals have been to support learning in complex science domains and facilitate development of self-regulated learning skills. Our analyses have identified actions such as "asking queries" and "tracing explanations" as key self-regulation strategies that promote learning.