Engineering Multi-Agent Large Language Model Systems for Mobile Adaptive Learning Environments
The multi-agent approach shows that specialized architectures enable targeted optimization unavailable in monolithic systems, establishing an engineering framework for adaptive learning platforms, while pedagogical effectiveness still requires future experimental validation with learners in controlled studies.