While the traditional meaning of connected knowledge is valuable in some school subjects, it does not address the main activities of knowledge acquisition in subjects such as physics and mathematics. The goal of this article is to analyze the relationships between the concepts “learning for understanding” and “connected knowledge”, a central theme in feminist epistemology. In learning for understanding, the learner forms multiple, intricate connections among the concepts she is studying in school, between school concepts and her everyday concepts, and between school concepts and their wider context. Viewing connected knowledge as tightly related to understanding has several important implications. It brings connected knowledge into the central learning activities that take place in school science and mathematics, and gives it a high status. It contributes to our understanding of gender-related patterns in thinking; and it may form a unifying theoretical framework for many studies and projects in the field of gender fair education.
This study revisits a classic yet still intriguing question regarding information technology (IT): what difference does IT “really” make, in terms of people’s thinking? In order to explore this question, the effects of IT in authentic research settings were studied through retrospective interviews with 24 academic researchers. Analysis of the researchers’ descriptions of their learning and thinking processes shows that the effects of IT on higher order thinking strategies can be classified, following Perkins [Perkins, D. N. (1985). The fingertip effect: How information processing technology changes thinking. Educational Researcher, 14(7), 11–17], into first order effects and second order effects. First order effects of IT amplify or improve existing thinking strategies, without changing their nature, while second order effects of IT cause significant changes in the researchers’ thinking strategies. The results demonstrate that both types of effects take place in authentic research settings, often existing side by side. This article explores several examples of the ways in which IT affects higher order thinking strategies (such as forming research questions, constructing models and evaluating information), examines the types of effects created by IT, the conditions required for these effects to take place, and the role of distributed cognition.