Gender issues in computer-supported learning: what we can learn from the gender; science and technology literature

Abstract

This paper is a response to the article, 'Gender issues in computer-supported learning', in ALT-J 10 (1). I argue that the studies presented in the original paper could be enhanced by a more rigorous approach to gender that avoids universalizing identity, recognizes gender as a construction and which builds on previous research from gender, science and technology studies.