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Assessing learners satisfaction in collaborative online courses through a big data approach
ارزیابی رضایتمندی دانشجویان در دوره های آنلاین همکاری از طریق رویکرد داده ای بزرگ-2018 Monitoring learners satisfaction (LS) is a vital action for collecting precious information and design
valuable online collaborative learning (CL) experiences. Todays CL platforms allow students for per
forming many online activities, thus generating a huge mass of data that can be processed to provide
insights about the level of satisfaction on contents, services, community interactions, and effort. Big Data
is a suitable paradigm for real-time processing of large data sets concerning the LS, in the final aim to
provide valuable information that may improve the CL experience. Besides, the adoption of Big Data
offers the opportunity to implement a non-intrusive and in-process evaluation strategy of online courses
that complements the traditional and time-consuming ways to collect feedback (e.g. questionnaires or
surveys). Although the application of Big Data in the CL domain is a recent explored research area with
limited applications, it may have an important role in the future of online education. By adopting the
design science research methodology, this article describes a novel method and approach to analyse
individual students contributions in online learning activities and assess the level of their satisfaction
towards the course. A software artefact is also presented, which leverages Learning Analytics in a Big
Data context, with the goal to provide in real-time valuable insights that people and systems can use to
intervene properly in the program. The contribution of this paper can be of value for both researchers
and practitioners: the former can be interested in the approach and method used for LS assessment; the
latter can find of interest the system implemented and how it has been tested in a real online course.
Keywords: Big data ، Clustering ، Collaborative learning ، Learning analytics ، Learning satisfaction ، Sentiment analysis |
مقاله انگلیسی |
2 |
Students as pinners: A multimodal analysis of a course activity involving curation on a social networking site
دانش آموزان به عنوان پاستوریزه : تجزیه و تحلیل چند منظوره ای از فعالیت های درس شامل گزینش در یک سایت شبکه های اجتماعی-2017 This study examined how Pinterest, a multimodal social networking site, was used as a tool in a graduate course to
allow students to explore interesting language use in everyday life for a class assignment. The findings indicated
that pinners collection on the Pinterest board celebrated various uses of language and multimodal signifiers as
different examples of language use. Thus, pins revealed pinners interpretation of what made particular instances
of language use “psycholinguistic examples.” The affordances of the Pinterest board as a public site allowed pin
ners to engage in on-going communication with their fellow pinners and the greater Internet public. Both images
and accompanying messages revealed pinners intentions to express their thoughts about noteworthy language
use and to invite their audience to pay attention to what they had shared. The Pinterest activity as digital curation
created a participatory culture that encouraged students collaboration and informal learning.
Keywords: Collaborative learning | Learning communities | Participatory culture | Multimodality |
مقاله انگلیسی |