Co-creation of Knowledge in Technology-Enhanced Communities of Learning

knowledge society

Kahane, R., & Golan, O. (eds.) (1997). Patterns of Youthfulness. Jerusalem: Akademon.

Levy, K., Kali, Y., & Tal, T. (2015). Teachers as designers: Promoting teacher professional growth to advance technology integration in outdoor inquiry. In Y. Eshet-Alkalai, I. Blau, A. Caspi, N. Geri, Y. Kalman, V. Silber-Varod (Eds.), Proceedings of the 10th Chais Conference for the Study of Innovation and Learning Technologies: Learning in the Technological Era, Raanana: The Open University of Israel, pp. 75-82.

Proceedings of the 10th Chais Conference for the Study of Innovation and Learning Technologies: Learning in the Technological Era - 2015

Laslo, E., & Baram-Tsabari, A. (2015). Scientific and Ethical Literacy in Authentic Public Comments in Online Climate Change News Coverage. Presented as a talk in The 10th annual Chais Conference on Instructional Technologies Research Learning in the Technological Era in Raanana, Israel (Feb 10-11). [Shortlisted for the Best Student Paper Award]

Presented as a talk in The 10th annual Chais Conference on Instructional Technologies Research Learning in the Technological Era - 2015

Geifman D., & Raban, D. R. (2015). The Surprising Role of Self-Efficacy in Collective Problem Solving. Chais Conference for Research in Learning Technologies, Ra’anana, Israel, The Open University.

Chais Conference for Research in Learning Technologies

Tirosh, N., & Schejter, A. (accepted, 2015). ‘I will perpetuate your memory through all generations’: institutionalization of collective memory by law in Israel. International Journal of Media and Cultural Politics.

The research group functions as a community net lab focusing on the ways that clearly defined (primordial) communities (re)form social boundaries through the use of new media (i.e. the Internet, mobile communication) and knowledge that is constructed online.

Koren, H., Kaminer, I. and Raban, D.R. (Forthcoming) Exploring the Effect of Reinvention on Critical Mass Formation and the Diffusion of Information in Social Networks. Social Network Analysis and Mining

Widely used information diffusion models are based on the assumption that exposure to information, like exposure to a virus, is enough for it to spread.

BGU COM LINKS is a team of researchers led by Professor Amit Schejter of Ben-Gurion University of the Negev, department of communication studies.