Information Resource based on Scientific Software as a core of Interdisciplinary Learning Resources

This paper introduces the individualized interdisciplinary learning resources based on scientific software, that usually serves for solving domain problems (optimization, simulation etc.). Integrating this type of software in learning process is a problem that we are solving by suggesting a new way to describe this software and introduce a framework that helps to form learning resource from it. We propose the concept of creating new advanced type of generative learning objects (GLOB) that changes not only structure of content presentation for different purposes (described by the contexts' parameters) but also it changes the way of learning and evaluating. The object-oriented programming (OOP) paradigm is used for combining concepts of GLO and learning objects (LO) based on information object to formulate our proposed approach. In this article we describe the principles of generating the interdisciplinary learning resource for a master program's learning course. Also we provide example of scientific software (transport schedule optimization) and show how it should be described for being used in learning process.