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Community knowledge assessment in a knowledge building environment
Affiliation:1. Department of Education, National Chengchi University, No. 64, Sec. 2, Zhinan Rd., Wenshan District, Taipei 11605, Taiwan;2. Ontario Institute for Studies in Education of the University of Toronto, Canada;1. National Engineering Laboratory for Educational Big Data, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, People''s Republic of China;2. National Engineering Research Center for E-Learning, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, People''s Republic of China;1. Department of Educational Technology, Zhejiang Normal University, Jinhua, China;2. School of Information Technology in Education, South China Normal University, Guangzhou, China;3. School of Foreign Studies, South China Normal University, Guangzhou, China;4. Department of Curriculum and Instruction & Centre for Learning Sciences and Technologies, The Chinese University of Hong Kong, Hong Kong, China;5. Institute for Research Excellence in Learning Sciences & Program of Learning Sciences, National Taiwan Normal University, Taipei, Taiwan;1. University of Northampton, UK;2. National Institute of Education, Singapore
Abstract:This study investigates ways of using key terms to represent and assess community knowledge in an online knowledge building environment. Knowledge Forum – an environment specially designed to support advances in community knowledge – incorporates key-term analytic tools. In the current study these tools were used to determine if key-term measures complement conventional online behavioral measures in assessing community knowledge advances. Discourse rated as more reflective and depth-oriented showed higher percentages of shared key terms and higher frequency use of shared key terms than less reflective, shallower discourse. Limitations and possibilities for using key terms for automated assessment and visual representation of community knowledge are discussed.
Keywords:Knowledge building  Computer-mediated communication  Collaborative learning  Elementary-level science  Learning communities
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