Intelligent Instructional Design via Interactive Knowledge Graph Editing

The rapid emergence of knowledge graph (KG) research opens the opportunity for revolutionary educational applications. Most studies in this area use KGs as peripheral sources of educational materials rather than a primary tool for Instructional Design. Considerable effort is required to maintain the alignment between KGs and other elements of Instructional Design practice, such as syllabus, course plans, student learning objectives, and teaching outcome evaluation. To bridge such a gap, we present a novel framework named Knowledge Graph Reciprocal Instructional Design (KGRID), which employs KGs as an instructional design tool to organize learning units and instructional data. Viewing the two aspects as a unified ensemble achieves interactive and consistent course plan editing through manipulations of KGs. The included interactive course schedule editing tool distinguishes our framework from other timetabling approaches that only handle the initialization task. Managing instructional data in KG format is indispensable in establishing a foundation of mass instructional data collection for KG research. We envision a collaboration between the two disciplines. With these crucial functionalities and aspirations, KGRID outperforms the practice of replacing Instructional Design tables with concept maps. We present the system architecture, data flow, visualization, and algorithmic aspect of the editing tool.