Dynamic Generation of Knowledge Graph Supporting STEAM Learning Theme Design

Abstract

Instructional framework based on a knowledge graph makes up for the interdisciplinary theme design ability of teachers in a single discipline, to some extent, and provides a curriculum-oriented theme generation path for STEAM instructional design. This study proposed a dynamic completion model of a knowledge graph based on the subject semantic tensor decomposition. This model can be based on the tensor calculation of multi-disciplinary curriculum standard knowledge semantics to provide more reasonable STEAM project-based learning themes for teachers of those subjects. First, the STEAM multi-disciplinary knowledge semantic dataset was generated through the course’s standard text and open-source encyclopedia data. Next, based on the semantic tensor decomposition of specific STEAM topics, the dynamic generation of knowledge graphs was realized, providing interdisciplinary STEAM learning topic sequences for teachers of a single discipline. Finally, the application experiment of generating STEAM learning themes proved the effectiveness of our model.

A systematic literature review of knowledge graph construction and application in education

“…It involves a thoughtful alignment of learning objectives, content, instructional methods, assessment strategies, and resources to foster meaningful learning among students [ 59 ]. Incorporating KGs into curriculum design and planning offers a data-driven, learner-centric approach that enhances the quality, relevance, and effectiveness of educational offerings [ 60 , 61 ]. For example, Yang et al [ 62 ] constructed a KG to assist water conservancy students in understanding the relationships between courses, knowledge units, and terminology.…”

“…The aim of this framework was to enhance intelligent education by linking and reorganizing multi-modal knowledge, enabling intelligent search, link construction, quantitative analysis, and intelligent recommendation. Another methodology is proposed to facilitate the dynamic generation of a STEAM (Science, Technology, Engineering, Arts, and Mathematics) KG that supports interdisciplinary instructional design [ 61 ]. In particular, the study aims to enable teachers to design appropriate learning themes that align with curriculum standards.…”

“… •The paper doesn't elaborate on the challenges of multimodal fusion, •Lack of quantitative results or analyses of the framework's performance. [ 61 ] Supporting STEAM learning theme design BERT and tensor decomposition Schema-free Encyclopedia, OpenKG, and national discipline curriculum standards N/A P, R, F1, MRR, and Hits@N •Further research is needed to address the interpretability mechanism of KGs for STEAM interdisciplinary semantic learning. [ 66 ] Curriculum system improvement for higher education Various algorithms are used to construct three KGs Schema-free syllabuses of courses and external data sources N/A Subjective criteria such as positive feedback from teachers and students through surveys.…”

STEAM Education and the Innovative Pedagogies in the Intelligence Era

“…Ke and Lin [3] present a study on the Dynamic Generation of Knowledge Graph Supporting STEAM Learning Theme Design. This research proposes a dynamic completion model for knowledge graphs based on subject semantic tensor decomposition.…”