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教育大数据驱动的学科核心素养水平量化评价研究

Research on Quantitative Evaluation of Subject Core Literacy Levels Driven by Educational Big Data

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【作者】 范佳荣; 赵雪妍; 钟绍春;

【Author】 Fan Jiarong;Zhao Xueyan;Zhong Shaochun;Journalism & Communications College, Jilin Normal University;School of Information Science and Technology, Northeast Normal University;

【机构】 吉林师范大学新闻与传播学院; 东北师范大学信息科学与技术学院;

【摘要】 学科核心素养评价是推进教学改革和落实学科核心素养的关键部分。当前,传统的评价方式难以准确量化学科核心素养水平且事倍功半,智能技术支撑下的学科核心素养评价成为主流研究方向。首先,该研究明确了学生在测评过程中产生的数据类型及采集方法;其次,设计能够表征测评数据、动态反映学生学科核心素养水平的计算模型;最后,开展量化评价的实证研究,验证其对学生持续学习意愿的积极影响。

【Abstract】 The evaluation of subject core literacy is a key part of promoting teaching reform and implementing subject core literacy.Traditional evaluation methods are currently unable to accurately quantify the level of subject core literacy and are often inefficient.The evaluation of subject core literacy supported by intelligent technology has become the mainstream research direction.This article first clarifies the types of data generated by students in the evaluation process and the methods of data collection.Secondly,it designs a computational model that can represent evaluation data to dynamically reflect the level of students’ subject core literacy.Finally,it conducts empirical research on quantitative evaluation to verify its positive impact on students’ continuous learning intentions.

【基金】 2023年国家社会科学基金教育学一般项目“混合式学习场景下学习者知识状态评测与干预机制研究”(BCA230270)
  • 【分类号】G434
  • 【下载频次】59
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