A Review of Automatic Evaluation Methods of Mind Mapping in Scientific Inquiry Learning
Scientific inquiry learning emphasizes student knowledge building through observation and reasoning to deeply understand scientific phenomena.Mind mapping acts as an effective learning scaffold and an important evaluation tool in visualizing students'thinking However,studies pay insufficient attention to the evaluation of student-constructed mind mapping,and the evaluation of mind mapping is still highly dependent on manual work,resulting in strong subjectivity and low scoring efficiency.Currently three types of methods for automatic evaluation of mind maps are uesd,including topological scoring,expert reference map comparison and compre-hensive comparison methods.Topological scoring cannot identify the accuracy of propositions in mind maps,and expert reference map comparison method requires students to use the same vocabulary as experts to express propositions to ensure its accuracy,which limits students'thinking.The comprehensive scoring method is an improvement,but it cannot completely replace the manual evaluation.The future research of automatic evaluation should first establish a unified automatic evaluation index system and synthesize different algo-rithms to build a more excellent evaluation model for each index.It is necessary to further refine the evaluation results,to improve the ac-curacy of the evaluation,and to provide refined reflective feedback for students.Finally,future research could focus on building scoring models using the most advanced AI algorithms.
mind mappingautomatic scoringscientific inquiry learningscience education
万方数据
维普
