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作 者:钟志强 张毅宁 ZHONG Zhiqiang;ZHANG Yining(School of Physical Science and Technology,Anshan Normal University,Anshan Liaoning 114007,China)
机构地区:[1]鞍山师范学院物理科学与技术学院,辽宁鞍山114007
出 处:《鞍山师范学院学报》2022年第2期35-40,共6页Journal of Anshan Normal University
摘 要:在大学物理实验课程成绩分析的多层次模型分析基础上,利用追踪数据方法进行形成性评价研究.潜类增长模型分析结果表明,在影响因素中,学生高考物理成绩对实验成绩的平均分影响不大,利用微课进行预习对实验成绩提升有一定影响,是否充分利用教学反馈信息对实验成绩影响最大.由此,依据反馈程度进行了增长模型分组比较验证,得到研究结论,对教学反馈信息的有效利用是提高学生成绩的主要因素,是形成性评价的关键之处.Based on the multi-level model analysis of university physics experiment data, this paper further studies the formative evaluation based on tracking data.First of all, the latent growth model analysis results show that students’ physics scores in college entrance examination have little impact on the average score of the experiment scores;the use of micro class for preview has an effect on the change of the experiment scores;whether to make full use of feedback information has the greatest impact on the experimental results and their growth.Finally, according to the feedback degree, the growth models are grouped and compared.The final conclusion is that the use of learning feedback is the main factor to improve students’ performance and the key to formative evaluation.
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