Timetable Model for Individualization of Education Based on Multi-agent Approach

Scheduling is a well established process at universities. Each university has its own traditions and schedule quality parameters. The research about automated timetable are most common. Those researches uses a heuristic and meta heuristic approaches. There are many modifications of methods such local search methods, simulated annealing, adaptive memory programming, tabu searches and so on. But developing and implementation of IT services for Scheduling in university based on automated timetabling are well known problem. Last years the digital transformation of education is widely discussed topic. Key challenges are the radical individualization of education and lifelong education. And new models of educational process organization and resource use are under researcher’s focus. Adaptive learning, traditional, MOOC (Massive Open Online Courses) and blended courses, interschool and university shared courses are under point of view due those potential for individualization of education and lifelong education. The timetable model and real-world IT services are the basis for implementation such digital transformation in direction to increasing personalization and student motivation. The paper discusses the multi-agent scheduling model and the results of its implementation as services for interactive mode timetabling.