Open Social Learning is an emerging research area that deals with leveraging open access to the learning content on the web and enabling social networking amongst the learners and mentors to make the learning experience efficient. This paper aims to capture the current direction of research carried out in the area of open social learning. Several published research work were reviewed in the field of Social Learning and Collective Intelligence. This paper intends to address the following three goals. (i) Summarize the flow of research and the popular issues that were most frequently addressed, in the last few years. (ii) Be a useful resource to understand the various approaches that were adopted and their boundaries. (iii) Suggest the future scope in a few aspects to extend the research further.
Teaching and learning are increasingly taking advantage of the rapid growth in Internet resources, open content, mobile technologies and social media platforms. However, due to the generally unstructured nature and overwhelming quantity of learning content, effective learning remains challenging. In an effort to close this gap, the authors designed and built an Open Content Social Learning (OCSL) system that compares different pedagogical strategies and algorithms intended to improve learning. Their results have shown increased effectiveness when recommending learning activities in a pedagogically appropriate order based on learning goals, historical learning preferences, and behaviors from other learners who had similar goals.
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