Use of Social Networks Sites (SNSs) as A Collaborative Learning Technique: Survey Analysis and Mining Approach
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| Publicado en: | Proceedings of the International Conference on Data Mining (DMIN) (2015), p. 44-49 |
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| Otros Autores: | , , |
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The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)
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| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
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| 035 | |a 1705019991 | ||
| 045 | 2 | |b d20150101 |b d20151231 | |
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| 100 | 1 | |a Labib, Nevine M | |
| 245 | 1 | |a Use of Social Networks Sites (SNSs) as A Collaborative Learning Technique: Survey Analysis and Mining Approach | |
| 260 | |b The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp) |c 2015 | ||
| 513 | |a Feature | ||
| 520 | 3 | |a This study adopts a multi-disciplinary approach, relating social psychology and information sciences. It aims at measuring the significance of social networks usage in collaborative learning using different information science techniques. After extensive review for relevant literature it has been noticed that the implementation context namely Middle East and North Africa region is starving for such stream of researches. A number of studies underscored various aspects of the relationship between Social Network Sites and collaborative learning such as perception, satisfaction, collaboration, engagement, integration, innovation, performance, interaction, problem solving, motivation, knowledge sharing and discovery, information sharing, and communication. A survey targeting about 300 students as a sample of relevant stakeholders (users) was conducted over a period of one-year. Three data mining models are implemented using the transformation methods, clustering techniques, and decision tree classification methods. The originality of this research stems from the following: first, applying novel methodological techniques in social networks domain. Second, improved validity and reliability of the results through triangulation of methods applied. | |
| 700 | 1 | |a Sabry, Ahmed E | |
| 700 | 1 | |a Mostafa, Rasha H A | |
| 700 | 1 | |a Morcos, Edward W | |
| 773 | 0 | |t Proceedings of the International Conference on Data Mining (DMIN) |g (2015), p. 44-49 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/1705019991/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/1705019991/fulltext/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/1705019991/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |