Learning&Information Technologies Cartography

Nowadays, many researches focus their efforts in studies and applications on the Learning area. However, there is a lack of a reference system that permits to know the positioning and the existing links between Learning and Information Technologies. This paper proposes a Cartography where explains the relationships between the elements that compose the Learning Theories and Information Technologies, considering the own features of the learner and the Information Technologies Properties. This intersection will allow us to know what Information Technologies Properties promote Learning Futures

Information technologies, embodiment and growth

This paper studies the conditions under which an IT revolution may endogenously occur. To this end, we construct an endogenous growth multisectoral model with a preeminent IT sector. Technological progress is embodied : New softwares can only be run on the most recent generations and hardware. While the new softwares are copyrighted during a fixed period of time, they become public knowledge at a certain point in time, which generates positive externalities in the rest of the economy. First, we find that our model can give rise to multiple steady states due to strategic complementarities. Then we focus on the dynamic response of the economy to adverse shocks on the level of disembodied technological progress. Substitution effects are shown to arise : The labor resources are diverted from the final goods sector to sustain the creation and production of new softwares. During the IT boom, labor productivity's growth slowdowns, the skill premimum rises as well as the value of firms undertaking research. However, the registered IT boom is always transitory and nothing can be said about the long run sustainability of an IT-driven growth regime.information technology, vintage capital; embodied technological progress; endogenous growth

Intellectual Solutions for Development of Information Technologies

With the development of computer technologies, the meaning invested in the notion of an information system changed. A modern information system is a set of information technologies aimed at supporting the life cycle of information and includes three main processes: data processing, information management and knowledge management. In conditions of a sharp increase in the volume of information, the transition to work with knowledge based on artificial intelligence is, in all probability, the only alternative to the information society

Information technologies for astrophysics circa 2001

It is easy to extrapolate current trends to see where technologies relating to information systems in astrophysics and other disciplines will be by the end of the decade. These technologies include mineaturization, multiprocessing, software technology, networking, databases, graphics, pattern computation, and interdisciplinary studies. It is easy to see what limits our current paradigms place on our thinking about technologies that will allow us to understand the laws governing very large systems about which we have large datasets. Three limiting paradigms are saving all the bits collected by instruments or generated by supercomputers; obtaining technology for information compression, storage and retrieval off the shelf; and the linear mode of innovation. We must extend these paradigms to meet our goals for information technology at the end of the decade