中心性
弹道
任务(项目管理)
纵向数据
跟踪(心理语言学)
协变量
纵向研究
过渡(遗传学)
心理学
持续时间(音乐)
计算机科学
生物
统计
数学
机器学习
物理
天文
管理
经济
艺术
哲学
文学类
数据挖掘
基因
生物化学
语言学
作者
Mohammed Saqr,Sonsoles López‐Pernas
标识
DOI:10.1016/j.compedu.2022.104581
摘要
A prevailing trend in CSCL literature has been the study of students' participatory roles. The majority of existing studies examine a single collaborative task or, at most, a complete course. This study aims to investigate the presence —or the lack thereof— of a more enduring disposition that drives student participation patterns across courses. Based on data from a 4-year program where 329 students used CSCL to collaborate in 10 successive courses (amounting up to 84,597 interactions), we identify the emerging roles using centrality measures and latent profile analysis (LPA) and trace the unfolding of roles over the entire duration of the program. Thereafter, we use Mixture Hidden Markov Models (MHMM) —methods that are particularly useful in detecting "latent traits" in longitudinal data— to identify how students' roles, transition, persist or evolve over time. Relevant covariates were also examined to explain students' membership of different trajectories. We identified three different roles (leader, mediator, isolate) at the course level. At the program level, we found three distinct trajectories: an intense trajectory with mostly leaders, a fluctuating trajectory with mostly mediators, and a wallowing-in-the-mire trajectory with mostly isolates. Our results show that roles re-emerge consistently regardless of the task or the course over extended periods of time and in a predictable manner. For instance, isolates "assumed" such a role in almost all of their courses over four years.
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