Group items tagged connectivism - Learning Analytics

Media Lab on 29 Jan 11

generating word clouds, interesting as a game, as analysis can be very simple, depending on what you want to search.

<div class="cArrow"> </div><div class="cContentInner">generating word clouds, interesting as a game, as analysis can be very simple, depending on what you want to search.</div>

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LAK11: Big Data Small Data « Viplav Baxi's Meanderings - 0 views

learnos.wordpress.com/...lak11-big-data-small-data

data lak11 analytics week2 tools connectivism #lak11 #evomlit education

shared by Vanessa Vaile on 23 Jan 11 - No Cached

which data is more appropriate - BIG or small
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most discussion about big data centres on quantity
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other elements you mention – implication, new models, new decision making approaches – all flow from this abundance of data.
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...15 more annotations...
Increased data quantity requires new approaches
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Is small beautiful? Look at the following links. Big Data, Small Data New Age of Innovation (Prahalad) So you like Big Data
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reading on Insurers and the work done by Levitt and Dubner on Freakonomics tells us clearly that data not earlier thought relevant or causal can be an efficient predictor.
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Secondly, strategies designed on BIG data
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may overpower small data strategies
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Thirdly, BIG data also has BIG impacting factors.
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Fourthly, actions taken on BIG data will have big consequences,
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Lastly, if everybody, big or small, started using BIG analytics, to make decisions
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companies would anyway lose the competitive differentiator that analytics brings to them.
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Corresponding to the question, how big does BIG need to be, the question I have is - how small really is small.
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defining patterns that emerge from very small pieces of data (e.g. synchronicity)
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how tools for SNA and analysis of BIG data can apply to Learning and Knowledge Analytics
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at the other end it embraces how small changes can cause long term variations
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not easy to analyze the small data
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data that is small enough not to be generalizable
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