Deepening e-Learning through Social-Collaborative Intelligence
Autor: | Mary Kalantzis, Matthew Montebello, Anastasia Olga Tzirides, Tabassum Amina, Samaa Haniya, Duane Searsmith, Bill Cope |
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Rok vydání: | 2018 |
Předmět: |
Class (computer programming)
Knowledge management business.industry 05 social sciences Distance education 050401 social sciences methods 050301 education New media Memorization Traditional education Digital media 0504 sociology ComputingMilieux_COMPUTERSANDEDUCATION Collaborative intelligence Social collaboration business Psychology 0503 education |
Zdroj: | FIE |
DOI: | 10.1109/fie.2018.8658779 |
Popis: | Traditional education promotes the self as it seeks to encourage learners to acquire knowledge and cultivate individual cognition through memorization and the application of procedures to achieve expected answers. Collaboration in class has been sporadically practiced when major tasks require necessary group-work and coordinated team efforts with clear objectives to instill a sense of collaboration within learners in preparation for demands of the workplace. In this paper we present a case study of how we engage graduate students through new media within our online environment, whereby, instead of memory work they focus their evidentiary work as knowledge artefacts created through digital media. We encourage and value the learners’ knowledge representations assembled in the form of rich, multimodal sources employing any of the available media. |
Databáze: | OpenAIRE |
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