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نتیجه جستجو - یادگیری همکاری

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 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
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