Forming Classes in an e-Learning Social Network Scenario
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-48829-5_17
Reference18 articles.
1. Juan Manuel Adán-Coello, Carlos Miguel Tobar, Eustáquio São José de Faria, Wiris Serafim de Menezes, and Ricardo Luís de Freitas. Forming groups for collaborative learning of introductory computer programming based on students programming skills and learning styles. International Journal of Information and Communication Technology Education (IJICTE), 7(4):34–46, 2011.
2. V. Agarwal and K.K. Bharadwaj. A collaborative filtering framework for friends recommendation in social networks based on interaction intensity and adaptive user similarity. Social Network Analysis and Mining, 3(3):359–379, 2013.
3. Ruth C Clark and Richard E Mayer. E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. John Wiley & Sons, 2011.
4. A. Comi, L. Fotia, F. Messina, G. Pappalardo, D. Rosaci, and G. M. L. Sarn´e. Forming homogeneous classes for e-learning in a social network scenario. In Intelligent Distributed Computing IX, pages 131–141. Springer, 2016.
5. Antonello Comi, Lidia Fotia, Fabrizio Messina, Domenico Rosaci, and Giuseppe ML Sarnè. A qos-aware, trust-based aggregation model for grid federations. In On the Move to Meaningful Internet Systems: OTM 2014 Conferences, pages 277–294. Springer, 2014.
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