基于Web智能技术的混合学习模型在间接测碘法中的应用

Fanhua Zeng, Chaonan Li, Zuyun Zeng
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引用次数: 0

摘要

在“互联网+”背景下,随着网络智能技术的融合和网络教学平台的日益成熟,教学模式发生了翻天覆地的变化,混合式学习就是典型代表。本文围绕间接碘量法测定铅冰铜中铜含量的过程,借助现代网络技术和移动终端设计了课前在线自学、课间在线智能技术翻转课堂、课后在线调查测验三个教学环节,并通过Learning Pass终端连接线上线下课堂。我们充分利用签到、投票、快答、随机选择、问卷调查、课堂小测验、话题讨论等在线智能技术,实现学习大数据跟踪记录,形成个性化学习报告。
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Application of a Blending Learning Model Based on Web Intelligent Technology in the Indirect Iodometric Method
Under the background of "Internet+", along with the integration of network intelligence technology and the increasing maturity of network teaching platform, the teaching mode has changed drastically, and blending learning is a typical representative. This paper focuses on the process of determining copper content in lead ice copper by indirect iodometric method, design three teaching links with the help of modern network technology and mobile terminals: online self-learning before class, flipped classroom during class with online intelligent technology, and online survey and quiz after class, and link online and offline classes with Learning Pass terminals. We make full use of online intelligent technologies such as check-in, voting, quick answer, random selection, questionnaires, in-class quizzes and topic discussions to achieve big data tracking records of learning and form personalized learning reports.
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