The Future of Information Architecture examines issues surrounding why information is processed, stored and applied in the way that it has, since time immemorial. Contrary to the conventional wisdom held by many scholars in human history, the recurrent debate on the explanation of the most basic categories of information (eg space, time causation, quality, quantity) has been misconstrued, to the effect that there exists some deeper categories and principles behind these categories of information - with enormous implications for our understanding of reality in general. To understand this, the book is organised in to four main parts: Part I begins with the vital question concerning the role of information within the context of the larger theoretical debate in the literature. Part II provides a critical examination of the nature of data taxonomy from the main perspectives of culture, society, nature and the mind. Part III constructively invesitgates the world of information network from the main perspectives of culture, society, nature and the mind. Part IV proposes six main theses in the authors synthetic theory of information architecture, namely, (a) the first thesis on the simpleness-complicatedness principle, (b) the second thesis on the exactness-vagueness principle (c) the third thesis on the slowness-quickness principle (d) the fourth thesis on the order-chaos principle, (e) the fifth thesis on the symmetry-asymmetry principle, and (f) the sixth thesis on the post-human stage.
Originally published in 1981, this third volume deals with the empirical data base and the theories concerning visual perception - the set of mental responses to photic stimulation of the eyes. As the book develops, the plan was to present a general taxonomy of visual processes and phenomena. It was hoped that such a general perspective would help to bring some order to the extensive, but largely unorganized, research literature dealing with our immediate perceptual responses to visual stimuli at the time. The specific goal of this work was to provide a classification system that integrates and systematizes the data base of perceptual psychology into a comprehensive intellectual scheme by means of an eclectic, multi-levelmetatheory invoking several different kinds of explanation.
Many educators accept teaching with technology as perhaps the most important instructional strategy to impact the classroom since the introduction of the textbook. The Taxonomy for the Technology Domain suggests a new classification system that includes literacy, collaboration, decision-making, infusion, integration, and technology. As with most taxonomies, each step offers a progressively more sophisticated level of complexity by constructing increasingly multifaceted objectives addressing more complex student learning outcomes. The Taxonomy for the Technology Domain will affect all aspects of how technology in used in elementary and secondary classrooms, corporate training rooms, and higher education classrooms.