eLearning is fast progressing scientific field proposing novel and specific approaches in a range of domains. It is well established practice in universities, schools and organizations for delivering interactive, adaptive and flexible training, taking advantage of contemporary and emerging technologies. Informatics is a continuously evolving science presenting its theoretical and practical advances applicable in various research areas, including in eLearning. The paper presents an exploration focused on the symbiotic connection between Informatics and eLearning that leads to contemporary and innovative solutions, facilitating and automating a wide variety of activities at information processing. The term eLearning Informatics is conceptualized and explained as a scientific field outlining the current research achievements and further directions for development. The applied research methodology is based on outlining the main vision in the domain eLearning Informatics through utilization of bibliometric approach and construction of bibliometric networks as well as on detailed examination of topic-related scientific papers.
The aim of this work is to present extended informatics paradigm (EIP). This paradigm expands concept of informatics from traditional information and communication technologies (ICT) to a wide use of informational thinking, databases and related technologies in biology and psychology. The essential difference of EIP is an especial attention to nature and purpose of information in organized biological and/or psychological systems. Information as a phenomenon appeared on the Earth 3-4 billion years ago, when the life originated. Informatics paradigm considers the physical and chemical transformations of energy and matter as flows that are controlled, or as the signals for purposive informational control programs. Brain as product of biological evolution accomplishes a quick information processing, thinking and psychical activity. The information is born in control systems of organized systems. The organized systems are represented as informational closed-loop coding-decoding structures. Therefore, the scope of bioinformatics which is generally taught as a skill to deal with biological data bases should be extended, as well as the subject of informational psychology.