Development and Application of Intelligent Assessment System for Metacognition in Learning Mathematics among Junior High School Students

Autor: Guangming Wang, Yueyuan Kang, Zicong Jiao, Xia Chen, Yiming Zhen, Dongli Zhang, Mingyu Su
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Sustainability; Volume 14; Issue 10; Pages: 6278
ISSN: 2071-1050
DOI: 10.3390/su14106278
Popis: Metacognition is one of the key factors that determine students’ mathematics learning and affects students’ sustainable development. Metacognition assessment has attracted more and more attention from researchers, but how to effectively assess and improve students’ metacognition is still unknown. Based on the theoretical basis and practical verification, a mathematics metacognitive intelligence assessment and strategy implementation system for middle school students was developed from both qualitative and quantitative perspectives. This system features the mix of an assessment structural model, assessment scales, a set of norms, improvement strategies and the intelligent assessment and strategy implementation program, which can intelligently output students’ mathematical metacognition level and propose targeted improvement strategies. Through the application of the system to 2100 students in Tianjin, China, the results show that the subjects have advantages in mathematical metacognitive knowledge and mathematical metacognitive management. The mathematical metacognitive experience needs to be improved. After intervening with the subjects, according to the improvement strategy provided by the system, it was found that their mathematical metacognition was improved, indicating that the system has a good effect.
Databáze: OpenAIRE