2016 ◽  
Vol 9 (4) ◽  
pp. 1-15 ◽  
Author(s):  
Ángel Hernández-García ◽  
Miguel Ángel Conde-González

Despite the great potential of social network analysis (SNA) methods and visualizations for learning analytics in computer-supported collaborative learning (CSCL), these approaches have not been fully explored due to two important barriers: the scarcity and limited functionality of built-in tools in Learning Management Systems (LMS), and the difficulty to import educational data from formal virtual learning environments into social network analysis programs. This study aims to cover that gap by introducing GraphFES, an application and web service for extraction of interaction data from Moodle message boards and generation of the corresponding social graphs for later analysis using Gephi, a general purpose SNA software. In addition, this paper briefly illustrates the potential of the combination of the three systems (Moodle, GraphFES and Gephi) for social learning analytics using real data from a computer-supported collaborative learning course with strong focus on teamwork and intensive use of forums.


2016 ◽  
Vol 23 (1) ◽  
pp. 48-59 ◽  
Author(s):  
Masanori Yamada ◽  
Yoshiko Goda ◽  
Hideya Matsukawa ◽  
Kojiro Hata ◽  
Seisuke Yasunami

2020 ◽  
Author(s):  
Bodong Chen

Collaboration is an important competency in the modern society. To harness the intersection of learning, work, and collaboration with analytics, several fundamental challenges need to be addressed. This chapter about collaboration analytics aims to highlight these challenges for the learning analytics community. We first survey the conceptual landscape of collaboration and learning with a focus on the computer-supported collaborative learning (CSCL) literature while attending to perspectives from computer supported cooperative work (CSCW). Grounded in the conceptual exploration, we then distinguish two salient strands of collaboration analytics: (a) /computational analysis of collaboration/ that applies computational methods to examining collaborative processes; and (b) /analytics for collaboration/ which is primarily concerned with designing and deploying data analytics in authentic contexts to facilitate collaboration. Examples and cases representing different contexts for learning and analytical frames are presented, followed by a discussion of key challenges and future directions.


Author(s):  
Francesca Pozzi ◽  
Donatella Persico

This paper tackles the issue of learning design and pedagogical planning in the context of computer-supported collaborative learning (CSCL). In this sector, we witness the same variety of approaches and tools that we find in the technology-enhanced learning (TEL) research field. In particular, in the CSCL context, notions such as “Collaborative Learning Flow Patterns” (CLFP) or “collaborative scripts” have been used to describe and/or run online collaborative learning activities and, consequently, tools have been implemented to reify these concepts and visualise the designs. Despite the differences, most of the existing tools support the representation of learning designs that are already “in the designer’s mind”, while fewer tools specifically aim to provide guidance and support to CSCL designers in the early phases of the design process, that is, when they have to make critical decisions concerning the educational approach, the tools to be used, and the ways to engage the target population. This paper, while focusing on this gap in CSCL research, proposes a unifying model, aimed at supporting pedagogical planning and decision making in the CSCL design process based on the interplay of four model components: Task, Teams, Time and Technology.Keywords: computer-supported collaborative learning; design process; 4Ts model; learning design(Published: 16 September 2013)Citation: Research in Learning Technology Supplement 2013, 21: 17585 - http://dx.doi.org/10.3402/rlt.v21i0.17585


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