ReviewHeliyon2024
A systematic literature review of knowledge graph construction and application in education.
Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Application and effectiveness analysis of AI Intelligent tutoring system combined with knowledge graph in basic medical pathology teaching.BMC medical education · 2026Trial
- VLM-fusion: an intelligent diagnostic system for rural teacher professional development integrating vision-language models and adaptive learning path optimization.Scientific reports · 2026Article
- Integrating ontology and knowledge graphs for intelligent assessment and feedback in E-learning systems.Scientific reports · 2026Article
- Transfer learning and knowledge graph enhanced VR animation resource recommendation with creativity prediction.Scientific reports · 2026Article
- Empirical validation of a generative AI framework for personalized education assessment.Scientific reports · 2026Article
- Building a new ecosystem for digital-intelligent teaching of veterinary infectious diseases in southwest Chinese universities: theoretical framework and practical pathways.Frontiers in veterinary science · 2026Review
- Knowledge graph-based intelligent data management and information innovation service model for university library systems.PloS one · 2026Article
- Improving medical students' learning absorption in a knowledge graph based blended learning course.BMC medical education · 2025Article
- A generative AI teaching assistant for personalized learning in medical education.NPJ digital medicine · 2025Article
- Research on the construction and application of pathology knowledge graph.BMC medical education · 2025Article
- A knowledge graph for crop diseases and pests in China.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the dynamic landscape of modern education, the search for improved pedagogical methods, enriched learning experiences, and empowered educators remains a perpetual pursuit. In recent years, a remarkable technological innovation has asserted its dominance in education: Knowledge Graphs (KGs). These structured representations of knowledge are increasingly proving to be indispensable tools, fostering advancements driven by the growing recognition of their essential role in enriching personalised learning, curriculum design, concept mapping, and educational content recommendation systems. In this paper, a systematic literature review (SLR) has been conducted to comprehensively examine KG construction methodologies and their applications across five key domains in education. In each examined study, we highlight the specific KG functionalities, knowledge extraction techniques, knowledge base characteristics, resource requirements, evaluation criteria, and limitations. This paper distinguishes itself by offering a broad overview of KGs in education, analyzing state-of-the-art methodologies, and identifying research gaps and limitations, paving the way for future advancements.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.