Suggest-Assert-Modify: A Taxonomy of Adaptive Scaffolds in Computer-Based Learning Environments

Abstract. Adaptive scaffolding in computer-based learning environments (CBLEs) continues to be an active area of research, with researchers framing the problem as determining the what, when, how, and by whom or what of adap-tive scaffolding strategies. This paper presents our recent work in developing a taxonomy for adaptive scaffolds in CBLEs. The taxonomy, motivated by previ-ous work in developing adaptive scaffolds, attempts to address the how of scaf-folding by describing the tools and techniques available for scaffolding in CBLEs. We present the taxonomy, which describes adaptive scaffolds as one or more suggestions, assertions, and learning task modifications, and we discuss the utility of the taxonomy in describing adaptive scaffolding strategies