The influence of social network prestige on in-service teachers' learning outcomes in online peer assessment

被引:7
作者
Ma, Ning [1 ,2 ]
Du, Lei [2 ,3 ]
Lu, Yao [2 ]
Sun, Yi-Fan [2 ]
机构
[1] Beijing Normal Univ, Adv Innovat Ctr Future Educ, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, Fac Educ, Sch Educ Technol, Beijing 100875, Peoples R China
[3] Shenzhen Longhua Songhe Sch, Shenzhen 518109, Guangdong, Peoples R China
来源
COMPUTERS AND EDUCATION OPEN | 2022年 / 3卷
基金
中国国家自然科学基金;
关键词
distance education and online learning; teacher professional development; evaluation methodologies; informal learning; learning communities; pedagogical issues; PROFESSIONAL-DEVELOPMENT; ASYNCHRONOUS ONLINE; SKILLS; PARTICIPATION; COMMUNITIES; ENGAGEMENT; CENTRALITY; PATTERNS; LEARNERS; MOOC;
D O I
10.1016/j.caeo.2022.100087
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Online peer assessment has been widely applied in online teacher training. However, not all learners participate equally, detailed characterization and impact analysis of peer assessment is required. This study draws on a sociological term, social network prestige, to evaluate the participation gap of learners in online peer assessment. A teacher training course was offered to in-service primary and secondary school teachers, and 457 participants were ranked according to their prestige. Then, the top 30% of learners were considered the high-prestige group (142 participants) and the bottom 30% as the low-prestige group (128 participants). Social network analysis and behavioral sequence analysis were used to explore the differences in the learning outcomes of these two groups. The results showed significant differences in learning performance, social network structure and learning behaviors among learners with different prestige. High-prestige learners have better learning performance and are affected by their prior knowledge. Learners with different levels of prestige differ in social network structure and learning behavior. Based on these findings, this study suggests improvements to reduce the participation gap.
引用
收藏
页数:13
相关论文
共 60 条
[1]   Lesson study design features for supporting collaborative teacher learning [J].
Akiba, Motoko ;
Murata, Aki ;
Howard, Cassandra C. ;
Wilkinson, Bryan .
TEACHING AND TEACHER EDUCATION, 2019, 77 :352-365
[2]   Automatic assignment of reviewers in an online peer assessment task based on social interactions [J].
Anaya, Antonio R. ;
Luque, Manuel ;
Leton, Emilio ;
Hernandez-del-Olmo, Felix .
EXPERT SYSTEMS, 2019, 36 (04)
[3]   Prestigious Youth are Leaders but Central Youth are Powerful: What Social Network Position Tells us About Peer Relationships [J].
Andrews, Naomi C. Z. .
JOURNAL OF YOUTH AND ADOLESCENCE, 2020, 49 (03) :631-644
[4]   Targeted Victimization: Exploring Linear and Curvilinear Associations Between Social Network Prestige and Victimization [J].
Andrews, Naomi C. Z. ;
Hanish, Laura D. ;
Updegraff, Kimberly A. ;
Martin, Carol Lynn ;
Santos, Carlos E. .
JOURNAL OF YOUTH AND ADOLESCENCE, 2016, 45 (09) :1772-1785
[5]   Ego network structure in online social networks and its impact on information diffusion [J].
Arnaboldi, Valerio ;
Conti, Marco ;
La Gala, Massimiliano ;
Passarella, Andrea ;
Pezzoni, Fabio .
COMPUTER COMMUNICATIONS, 2016, 76 :26-41
[6]   Adult Learners in a Novel Environment Use Prestige-Biased Social Learning [J].
Atkisson, Curtis ;
O'Brien, Michael J. ;
Mesoudi, Alex .
EVOLUTIONARY PSYCHOLOGY, 2012, 10 (03) :519-537
[7]  
Bakeman R., 1997, OBSERVING INTERACTIO
[8]  
Borgatti S. P., 2002, Ucinet for Windows: Software for Social Network Analysis, DOI [10.1111/j.1439-0310.2009.01613.x, DOI 10.1111/J.1439-0310.2009.01613.X]
[9]  
Brown J, 2012, NFLRC MONOGRAPH SERI
[10]   Peer Assessment of Teacher Performance. What Works in Teacher Education? [J].
Cabello, Valeria M. ;
Topping, Keith J. .
INTERNATIONAL JOURNAL OF COGNITIVE RESEARCH IN SCIENCE ENGINEERING AND EDUCATION-IJCRSEE, 2020, 8 (02) :121-132