[Retracted] Summary and Evaluation of the Application of Knowledge Graphs in Education 2007–2020
Table 5
Evaluation criteria and questions.
Serial number
Question
Reasons for setting this criterion
Q1
Does the paper clearly specify the visualization software?
There are various visualization software programs, each of which has its unique features.
Q2
Does the paper clearly specify the size and features of samples?
The size and intrinsic structure of the samples directly determine the feasibility of knowledge graphs.
Q3
Does the paper clearly specify the thresholds?
Different thresholds lead to different graphs.
Q4
Does the paper clearly specify the basis for determining the thresholds?
Different thresholds lead to different graphs. This calls for scientific determination of thresholds.
Q5
Does the paper take the knowledge graphs as the main strategy?
Knowledge graph provides only one research tool. Normally, it should be combined with other methods to draw comprehensive conclusions.
Q6
Does the paper clearly specify the limitations of conclusions?
Knowledge graphs have many limitations, namely, the unstable and incomplete clustering and the conflict between the large data volume and the limited space.
