Asynchronous online discussions are broadly used to support peer interaction in online and hybrid courses. In this paper, we argue that the analysis of online peer interactions would benefit from the focus on relational events that are temporal and occur due to a range of factors. To demonstrate the possibility, we applied Relational Event Modeling (REM) to a dataset from online discussions in seven online classes. Informed by a conceptual model of social interaction in online discussions, this modeling included (a) a learner attribute capturing aspects of temporal participation, (b) social dynamics factors such as preferential attachment and reciprocity, and (c) turnby-turn sequential patterns. Results showed that learner activity and familiarity from recent interactions affected their propensity to form ties. Turn-by-turn sequential patterns, that capture individual posting in bursts, explain how two-star network patterns form. Since two-star network patterns could further facilitate small group formation in the network, we expected the models to also capture communication in triads (i.e. triadic closure). Yet, models, devoid of the content of exchanges, did not capture the social dynamics well, and failed to predict patterns for communication across triads. By bringing in discourse features, future work can investigate the role of knowledge building behaviours in triadic closure of digital networks. This study contributes fresh insights into social interaction in online discussions, calls for attention to micro-level temporal patterns, and motivates future work to scaffold learner participation in similar contexts.
|Original language||English (US)|
|Title of host publication||LAK 2020 Conference Proceedings - Celebrating 10 years of LAK|
|Subtitle of host publication||Shaping the Future of the Field - 10th International Conference on Learning Analytics and Knowledge|
|Publisher||Association for Computing Machinery|
|Number of pages||6|
|State||Published - Mar 23 2020|
|Event||10th International Conference on Learning Analytics and Knowledge: Shaping the Future of the Field, LAK 2020 - Frankfurt, Germany|
Duration: Mar 23 2020 → Mar 27 2020
|Name||ACM International Conference Proceeding Series|
|Conference||10th International Conference on Learning Analytics and Knowledge: Shaping the Future of the Field, LAK 2020|
|Period||3/23/20 → 3/27/20|
Bibliographical notePublisher Copyright:
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- Digital peer networks
- Relational event modelling