By Nobuo Suzuki, Mariko Yamamura, Kazuhiko Tsuda (auth.), Rossitza Setchi, Ivan Jordanov, Robert J. Howlett, Lakhmi C. Jain (eds.)
th The 14 overseas convention on Knowledge-Based and clever info and Engineering structures used to be held in the course of September 8–10, 2010 in Cardiff, united kingdom. The convention was once geared up by way of the varsity of Engineering at Cardiff college, united kingdom and KES foreign. KES2010 supplied a global clinical discussion board for the presentation of the - sults of top of the range examine on a vast variety of clever structures subject matters. The c- ference attracted over 360 submissions from forty two nations and six continents: Argentina, Australia, Belgium, Brazil, Bulgaria, Canada, Chile, China, Croatia, Czech Republic, Denmark, Finland, France, Germany, Greece, Hong Kong ROC, Hungary, India, Iran, eire, Israel, Italy, Japan, Korea, Malaysia, Mexico, The Netherlands, New Zealand, Pakistan, Poland, Romania, Singapore, Slovenia, Spain, Sweden, Syria, Taiwan, - nisia, Turkey, united kingdom, united states and Vietnam. The convention consisted of 6 keynote talks, eleven common tracks and 29 invited s- sions and workshops, at the purposes and conception of clever structures and comparable components. the prestigious keynote audio system have been Christopher Bishop, united kingdom, Nikola - sabov, New Zealand, Saeid Nahavandi, Australia, Tetsuo Sawaragi, Japan, Yuzuru Tanaka, Japan and Roger Whitaker, united kingdom. Over 240 oral and poster shows supplied first-class possibilities for the presentation of fascinating new learn effects and dialogue approximately them, resulting in wisdom move and new release of latest principles. prolonged models of chosen papers have been thought of for booklet within the Int- nationwide magazine of Knowledge-Based and clever Engineering platforms, Engine- ing purposes of synthetic Intelligence, magazine of clever production, and Neural Computing and Applications.
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Additional resources for Knowledge-Based and Intelligent Information and Engineering Systems: 14th International Conference, KES 2010, Cardiff, UK, September 8-10, 2010, Proceedings, Part III
However, eMM fails to evaluate several distant learning parameters. g. forums [1, 9]) or on usability issues . In , authors propose a detailed set of criteria for virtual learning communities’ evaluation and offer a detailed evaluation template, with focus on the knowledge, social and pedagogical aspects of the community. The model does not capitalize on blended e-learning communities and, as a result, neglects the traditional alternatives of "e-" processes. A first conclusion, from the review of related work, is that some models cover traditional learning and others e-learning or e-learning communities, but none covers both aspects and all possible alternatives.
Apostolakis The criteria evaluate the accuracy and completeness of the educational material and activities and if they can be equally performed online or offline. Finally, they examine if members are motivated to discuss with other members in person about their progress, receive facilitation, and participate in activities of progressively increasing difficulty. The criteria that evaluate the Technical aspect and the quality and usability of the educational solution, as depicted in Table 2, examine: a) the completion of the technical requirements in software, hardware and equipments; b) the accessibility and usability of the online content; c) the compliance to content and design standards; d) the availability of communication, collaboration and facilitation services.
In: Proc. of the 8th lasted CATE, Aruba (2005) 2. : Evaluation of virtual learning communities for supporting e-learning in healthcare domain. In: Proc. of 6th ICICTH, Greece (2008) 3. : Benchmarks for e-learning in UK HE - adaptation of existing good practice. In: Proc of the 12th ATL-C 2005, UK (2005) 4. : Basic Information about Engineering Subject for Virtual Education. In: Proceedings of the 5th International Conference on Virtual University, Bratislava (2004) 5. : Blended eLearning: Integrating Knowledge, Performance Support, and Online Learning.