Understanding Classroom Interaction Using Epistemic and Social Network Analysis

被引:0
|
作者
Chen, Xieling [1 ]
Zou, Di [2 ]
Cheng, Gary [1 ]
Xie, Haoran [3 ]
机构
[1] Educ Univ Hong Kong, Dept Math & Informat Technol, Tai Po, Hong Kong, Peoples R China
[2] Educ Univ Hong Kong, Dept English Language Educ, Tai Po, Hong Kong, Peoples R China
[3] Lingnan Univ, Dept Comp & Decis Sci, Tuen Mun, Hong Kong, Peoples R China
来源
BLENDED LEARNING: ENGAGING STUDENTS IN THE NEW NORMAL ERA, ICBL 2022 | 2022年 / 13357卷
关键词
Classroom interaction; Epistemic network analysis; Social network analysis; Visualization; TEACHERS; STUDENTS; DISCOURSE; TALK;
D O I
10.1007/978-3-031-08939-8_14
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This study focuses on understanding classroom interaction using epistemic and social network analysis. Based on the classroom interaction data concerning an online course named Justice with 12 episodes, we demonstrate epistemic and social network analyses' advantages in evaluating the quality of classroom interaction, instructors' performance in promoting students' higher-order thinking, and individual students' performance in the classroom interaction. Results suggest that to promote productive classroom interaction and students' high-level cognitive contributions, instructors can 1) ask questions that explicitly require explanations, 2) encourage students to think with others, 3) encourage children to think about counterexamples or to challenge others' opinions or ideas, and 4) arrange group discussion activities.
引用
收藏
页码:157 / 167
页数:11
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