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- W2039715192 abstract "The goal of the present study was to uncover new insights about the learning analytics community by analyzing Twitter archives from the past four Learning Analytics and Knowledge (LAK) conferences. Through descriptive analysis, interaction network analysis, hashtag analysis, and topic modeling, we found: extended coverage of the community over the years; increasing interactions among its members regardless of peripheral and in-persistent participation; increasingly dense, connected and balanced social networks; and more and more diverse research topics. Detailed inspection of semantic topics uncovered insights complementary to the analysis of LAK publications in previous research." @default.
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- W2039715192 date "2015-03-16" @default.
- W2039715192 modified "2023-10-15" @default.
- W2039715192 title "Twitter Archeology of learning analytics and knowledge conferences" @default.
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- W2039715192 doi "https://doi.org/10.1145/2723576.2723584" @default.
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