Position paper: Block-based programming should offer intelligent support for learners

Abstract

Block-based programming environments make learning to program easier by allowing learners to focus on concepts rather than syntax. However, these environments offer little support when learners encounter difficulty with programming concepts themselves, especially in the absence of instructors. Textual programming environments increasingly use AI and data mining to provide intelligent, adaptive support for students, similar to human tutoring, which has been shown to improve performance and learning outcomes. In this position paper, we argue that block-based programming environments should also include these features. This paper gives an overview of promising research in intelligent support for programming and highlights the challenges and opportunities for applying this work to block-based programming.