| Autor: |
Ning Ma, Lei Du, Yao Lu, Yi-Fan Sun |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Computers and Education Open, Vol 3, Iss , Pp 100087- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2666-5573 |
| DOI: |
10.1016/j.caeo.2022.100087 |
| Popis: |
ABSTRACT: 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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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