Analyzing Learning Flows in Digital Learning Ecosystems

被引：1

作者：

Eradze, Maka ^{[1
]}

Pata, Kai ^{[1
]}

Laanpere, Mart ^{[1
]}

机构：

[1] Tallinn Univ, EE-10120 Tallinn, Estonia

来源：

ADVANCES IN WEB-BASED LEARNING | 2015年 / 8390卷

关键词：

D O I：

10.1007/978-3-662-46315-4_7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper envisages emerging trends and methods in learning analytics for post-LMS era, where learning increasingly takes place in distributed, user-defined digital learning ecosystems. Inspired by the recent developments on uptake framework and Experience API, we propose learning flow as the main unit of analysis while studying learning-related interactions.

引用

页码：63 / 72

页数：10

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