scholarly journals Analyzing the Social Networks of High- and Low-Performing Students in Online Discussion Forums

2017 ◽  
Vol 32 (1) ◽  
pp. 27-42
Author(s):  
Hajar Ghadirian ◽  
Keyvan Salehi ◽  
Ahmad Fauzi Mohd Ayub
2016 ◽  
Vol 6 (3) ◽  
pp. 1-17
Author(s):  
Don Davis ◽  
Vittorio Marone

In the learning sciences and game studies communities, there has been an increasing interest in the potential of game-related “paratexts” and “surrounds” in supporting learning, such as online discussion forums and gaming affinity spaces. While there have been studies identifying how learning occurs in such communities, little research has been done on learning at the aggregate level. This study examined the social construction of knowledge in two sections of the discussion forums in the TUG (“The Untitled Game”) gaming affinity space. Findings suggest that game-like prompts and sections in online discussion forums can spur higher level forms of interaction and learning and can have implications for the design of gaming communities in which the social construction of knowledge is a desired outcome.


Author(s):  
Traian Rebedea ◽  
Stefan Trausan-Matu ◽  
Costin Chiru

With the wide adoption of instant messaging, online discussion forums, blogs and social networks, online communication has shifted from narration to highly collaborative discussions with multiple authors and discussion threads. However, the theories and methodologies for analyzing this new type of discourse which is different from narration, but also from dialogue, have remained mostly the same. The authors propose a new method for the analysis of this type of discourse, designed especially for multi-party chat conversations where parallel discussion floors and threads exist at the same time. The theoretical underpinning of the inter-animation framework is the detection of links between utterances in order to build a conversation graph that may be used to discover the discussion threads. The framework has been used for analyzing chat conversations of students in Computer Science in order to assess the involvement of each student, the inter-animation of the conversation and the degree of collaborative discourse.


Author(s):  
Carol Johnson ◽  
Laurie Hill ◽  
Jennifer Lock ◽  
Noha Altowairiki ◽  
Christopher Ostrowski ◽  
...  

<p class="3">From a design perspective, the intentionality of students to engage in surface or deep learning is often experienced through prescribed activities and learning tasks. Educators understand that meaningful learning can be furthered through the structural and organizational design of the online environment that motivates the student towards task completion. However, learning engagement is unique for each student. It is dependent on both how students learn and their intentions for learning. Based on this challenge, the design of online discussions becomes a pedagogical means in developing students’ intentionality for the adoption of strategies leading to deep learning. Through a Design-Based Research (DBR) approach, iterative design of online learning components for undergraduate field experience courses were studied. For this paper, the focus of the research is on examining factors that influenced deep and surface levels of learning in online discussion forums. The results indicate that design factors (i.e., student engagement, group structures, and organization) influence the nature and degree of deep learning. From the findings, two implications for practice are shared to inform the design and scaffolding of online discussion forums to foster deep approaches to student learning.</p>


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