Abstract: A knowledge acquisition system and artificial cognitive declarative memory model to store and retrieve massive student learning datasets. A Deep Academic Learning Intelligence system for machine learning-based student services provides monitoring and aggregating performance information and student communications data in an online group learning course. The system uses communication activity, social activity, and the academic achievement data to present a set of recommendations and uses responses and post-recommendation data as feedback to further train the machine learning-based system.

Abstract: A system and method provide continuous workforce optimization based on observations of users in an online learning management system integrated with physical learning nodes that can be interconnected with other physical learning nodes for multi-site workforce optimizations. The system provides online group learning courses to users via a network. The system may integrate with conventional physical classrooms, which may be physically located at different institutions, allowing for cross-site (e.g., cross-university, cross-military unit, cross-corporation, etc.) collaborative learning. The system may monitor user interactions during the online group learning courses and generate user profiles based on the user interactions. For example, for students (e.g., military personnel) training in cyber warfare using the online group learning courses, the system may track their performance via the monitored interactions, and place them into workforces to address cyber warfare needs.