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Social Networking and Learning - Assignment Example

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This paper “Social Networking and Learning” aims at examining the efficacy of social networks as a learning platform for undergraduate IT students at CPUT. The IT department at CPUT places communication at the core of teaching and learning for IT students in order to develop critical soft skills…
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Social Networking and Learning
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Social Networking and Learning Social Networking and learning Education is continuously changing to incorporate the new social and educational needs. This has forced teaching strategies to change in response to the introduction of technology in the classroom (Holste and Fields, 2010). According to Ferreira and Du Plessis, (2009) the educational field is experiencing a worldwide shift from the traditional teaching methods towards open learning. This has led to the introduction of the social media to facilitate learning at the university (Patterson and Hennessy, 2011). Several authors have encouraged the use of social networking sites as knowledge sharing sites. IT lecturers in the university use social sites such as the facebook and MXit to provide students with learning materials ((Chigona and Dagada, 2011). Most students are comfortable with the social platform serving as a source of learning materials and hosting discussion forums (Dasgupta, 2010). Well managed social networking sites can support learning activities in learning institutions. In this vein, social networking sites can be applied in the learning program of CPUT. The use of social networking sites can enhance learning activities in the university. This paper aims at examining the efficacy of social networks as a learning platform for undergraduate IT students at CPUT. The IT department at CPUT places communication at the core of teaching and learning for IT students in order to develop critical soft skills (Sylvester and Greenidge, 2010). Computer-mediated teaching and learning at the institution enhances communication which facilitates the development of cognitive skills of students (Alcock, 2009). The university resolved to this form of learning due to student under preparedness, lack of student engagement in the classroom, link theory and practice, and to give students the necessary 21st century skills (Greenhow, 2009). Instructors work with students in the classroom and students can the access notes from the social sites. The young generation is more experienced in tactic knowledge sharing tools via the internet that they can apply in class work (Warschauer, 2009). Recent studies indicate that about 79.31 percent of the IT students engaged in virtual learning find the system very convenient. This is due to the fact that social sites are accessible from different places both in the institution and at home (Knight and Rochon, 2012). Over the past years, virtual learning has gained popularity among the IT students due to its ease of use. The use of technology creates flexibility in the learning process and exposes students to different learning environments (Razmerita, Kircher and Sudzina, 2009). Social networks have increased the potential of e-learning as a mode of educational delivery. Learners have uninterrupted learning platforms that require minimum instructor supervision. Traditional learning methods depend on static learning environments such as classrooms, laboratories, teaching methods (Romm-Livermore and Setzekorn, 2009). This limits the flexibility of the learning process to include dynamic learning methods. The use of the social networks among IT students enables them to be more creative and innovative within the technology sector (Lindberg and Olofsson, 2010). However, the social media has some disadvantages when used as a learning platform (Dickson and Holley, 2010). Its efficiency and mobility requires continuous accessibility of the internet in order to access learning materials. In most cases, social networking sites are utilized for leisure, and some students find it difficult to utilize the same platform for learning purposes. This reduces the efficiency and the extent at which this platform is an adequate source of knowledge (Wankel, 2010). Learning about professionalism occurs through collaboration whereby peer groups are important sources of information and support for students. Professionalism begins in the undergraduate education stage for IT students. This entails developing work ethics, behavior, and attitude as well as accumulating knowledge (Dickson and Holley, 2010). Professionalism helps in the public and private aspects of identity and develops through interaction with others. Some IT students post unprofessional content in the social networking sites, which is a negative reflection of their professionalism. However, social networking sites, media-sharing sites, wikis and blogs provide an interaction arena where socialization and peer collaborations boost the development of professionalism (Kolek and Saunders, 2008). This helps form the professional identity of undergraduate students while still in college. Current studies indicate that over 90 percent of undergraduate students use social networking sites. Students utilize them mostly for peer interaction, but some of them exploit their educational potential. Peer groups among undergraduates are important sources of learning and social networks facilitate knowledge exchange (Dasgupta, 2010). Social networking sites have been used in areas of computing and civil engineering according to Nicol et al. (2009). These sites are peer collaborations that provide a resource that can be utilized as a platform for enhancing knowledge acquisition. Students learn by consulting various sources and by sharing objectives through the virtual learning environment. Students connected through the social sites can share web resources and links related to educational content. They also create an online space which engages students through reflections and assessments of internet resources. Students engage with these sites by posting content, commenting on posts, viewing posts, and sharing updated posts. Web links posted on the social sites act as the main source of information to peer groups (Chan and Cmor, 2009). When peers come across good educational resources they post their links on the social sites. This makes it easy for other students to access the information, which would be otherwise hard to find. Caruso and Salaway (2008) found that 49.7 percent of students in the U.S use social sites to communicate with peers about course related topics. Ipsos MORI (2008) found that 37 percent of first-year undergraduate students in the UK use these sites to discuss coursework. Feature incorporated in social networking sites make it possible to support personalization of student generated content. Facebook features encourage students to engage in creative social learning processes that extend beyond traditional learning processes and institutions. This increases the benefits accrued from wide and diverse sources of information (Greenhow, 2009). Students utilize opportunities provided by educational competitions available in social networking sites. Students in the IT and computing world have a wide range of application development competitions that expand their creativity. Facebook supports development competitions that are available to students all over the world. This provides IT students with a learning opportunity that is not available in the traditional learning environment (Alcock, 2009). The University of South Africa acts as a distance education institution that provides support and education for geographically isolated students. In 2010, South Africa had 45 million mobile phone users, which increases communication with people in remote areas. Students in rural areas are isolated from teachers as sources of information and their peers as sources of support. Cell phones provide a means of social interaction between students in universities and those in the rural areas. A large population of students has access to mobile phones that have feature such as instant messaging and internet access. MXit is a cell phone platform that allows phone users to exchange instant messages across all networks at an affordable price (Makoe, 2009). This tool provides connection between students in the university and their cohorts in the rural areas. It provides a platform for peer support among students sharing similar learning resources. Teachers also provide learning information to students located in the rural areas of South Africa through the IM platform. However, it is unclear about the effectiveness of the use of social networking sites for learning. Facebook use may blur the boundaries between socializing and studying through ways that are not conducive for learning. Social sites provide a causal and personal interaction environment that may preclude or exclude teachers’ involvement. Students may formulate learning objectives that are tangential to the formal curriculum developed by the learning institution (Barnes, 2012). Students in the network may find it difficult to develop a supportive peer relationship. The success of the network requires active participation among all members. Some students may have a passive involvement, which limits the learning resources available in the social sites. The use of facebook may become addictive for students due to its use as a socialization platform. Students may spend more time in the social sites, whereby socialization spends the greater percentage of their time than learning activities (ICWL, 2009). References Alcock, J., 2009. Using Facebook Pages to reach users: the experiences of University of Wolverhampton. Association of Libraries and Information Professionals in the Social Sciences (ALISS) Quarterly, 4, pp.2-6. Barnes, S. B., 2012. Socializing the classroom: social networks and online learning. Lanham, Lexington Books. Caruso, J., and Salaway, G., 2008. The ECAR study of undergraduate students and technology: Key findings. Boulder (CO): EDUCAUSE Center for Applied Research. Chan, C., and Cmor D., 2009. Blogging toward information literacy: Engaging students and Facilitating peer learning. References Services Review 37(4):395–407. Chigona, A. and Dagada, R.. 2011. Adoption of eLearning platforms at tertiary level in South Africa: Qualitative analysis. Proceedings of the Global Conference on Learning and Technology, Melbourne. 93-101. Dasgupta, S., 2010. Social computing: concepts, methodologies, tools and applications. Hershey, PA, Information Science Reference. Dickson, A. and Holley, R.P., 2010. Social networking in academic libraries: the possibilities and the concerns. New Library World 111(11):468-479. Ferreira, A and Du Plessis, T., 2009. Opportunities and concerns related to Web 2.0: Social networking technologies explored. e-CASE & e-Technology Conference, 8-10 January, Singapore. Greenhow, C., 2009. Social network sites and education: emerging research within CSCL, in A. Dimitrakopoulou (Ed.), CSCL 2009: Proceedings of the International Society of the Learning Sciences Computer-supported Collaborative Learning Conference. Rhodes, Greece, June 10-12. Holste, J.C. and Fields, D., 2010. Trust and tacit knowledge sharing and use. Journal of Knowledge Management 14(1):128-140. International Conference on Web-Based Learning, And Spaniol, M., 2009. Advances In Web based learning - ICWL 2009: 8th International Conference, Aachen, Germany, August 19-21, 2009 : proceedings. Berlin, Springer. Ipsos MORI., 2008. Great expectations of ICT: How higher education institutions are measuring up: Research study conducted for the Joint Information Systems Committee. June 2008, London: JISC. Knight, J. and Rochon, R., 2012. Starting Online: Exploring the use of a social networking site to facilitate transition into higher education. Electronic Journal of e-learning, 10(3), 257- 261. Kolek, E.A., and Saunders, D., 2008. Online disclosure: An empirical examination of undergraduate Facebook profiles. NASPA Journal, 45(1):1–25. Lindberg, J. O., and Olofsson, A. D., 2010. Online learning communities and teacher professional development: methods for improved education delivery. Hershey, PA, Information Science Reference. Makoe, M.E., 2009. Students’ experiences and conceptions of learning in a South African distance education context. Open University, Milton Keynes, UK. Nicol, D., Littlejohn, A., and Grierson, H., 2009. The importance of structuring information and resources within shared workspaces during collaborative design learning. Open Learn 20(1):31–49. Patterson, D. A., and Hennessy, J. L., 2011. Computer organization and design: the hardware/software interface. Waltham, MA, Morgan Kaufmann. Razmerita, L., Kircher, K. and Sudzina, F., 2009. Personal knowledge management: the role of Web 2.0 tools for managing knowledge at individual and organisational levels. Online Information Review 33(6):1021-1039. Romm-Livermore, C. and Setzekorn, K., 2009. Social networking communities and e-dating services: concepts and implications. Hershey, Information Science Reference. Sylvester, R. and Greenidge, W., 2010. Digital storytelling: Extending the potential for struggling writers. The Reading Teacher Journal, 63 (4): 284-295. Wankel, C., 2010. Cutting-edge social media approaches to business education: teaching with LinkedIn, Facebook, Twitter, Second life, and blogs. Charlotte, N.C., Information Age Pub. Warschauer, M., 2009. Digital literacy studies: Progress and prospects. In The future of literacy studies. Edited by M. Baynham and M. Prinsloo. New York, Palgrave Macmillan. 123-140. Read More
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