Suggestion of Machine Learning Systems for Computer-based Scaffolding

• In Event: D&D - Instructional Design Approaches

Short Description

The success of computer-based scaffolding depends on how well scaffolding reflects students’ current needs and abilities, and how accurate scaffolding can be controlled according to students’ learning status. This paper suggests the machine learning systems for provision of computer-based scaffolding. In this system, scaffolding with the range of ‘generic’ to ‘specific’ can be automatically provided, and the given scaffolding can be revised through artificial intelligence and statistical inferences, resulting in the optimal learning environments.

Authors

• Nam Ju Kim, Utah State University

• Brian Belland, Utah State University

• Andrew Walker, Utah State University