Dialogue attributes that inform depth and quality of participation in course discussion forums

被引:13
作者
Farrow, Elaine [1 ]
Moore, Johanna [1 ]
Gasevic, Dragan [2 ]
机构
[1] Univ Edinburgh, Sch Informat, Edinburgh, Midlothian, Scotland
[2] Monash Univ, Fac Informat Technol, Clayton, Vic 3800, Australia
来源
LAK20: THE TENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE | 2020年
基金
英国工程与自然科学研究理事会;
关键词
text analysis; discussion forum; participation; engagement; cognitive presence; Community of Inquiry; ICAP;
D O I
10.1145/3375462.3375481
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper describes work in progress to answer the question of how we can identify and model the depth and quality of student participation in class discussion forums using the content of the discussion forum messages. We look at two widely-studied frameworks for assessing critical discourse and cognitive engagement: the ICAP and Community of Inquiry (CoI) frameworks. Our goal is to discover where they agree and where they offer complementary perspectives on learning. In this study, we train predictive classifiers for both frameworks on the same data set in order to discover which attributes are most predictive and how those correlate with the framework labels. We find that greater depth and quality of participation is associated with longer and more complex messages in both frameworks, and that the threaded reply structure matters more than temporal order. We find some important differences as well, particularly in the treatment of messages of affirmation.
引用
收藏
页码:129 / 134
页数:6
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