When Big Data goes bad: 6 epic fails
by Donald Clark
http://donaldclarkplanb.blogspot.sg/2013/11/when-big-data-goes-bad-6-epic-fails.html?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed:+blogspot/dcplanb+(Donald+Clark+++++++Plan+B)
Big data is the current buzz word in the IT world as well as in education. According to Donald Clark, "Data, in the wrong hands, whether malicious, manipulative or naïve can be downright dangerous. Indeed, when big data goes bad it can be lethal. Unfortunately the learning game is no stranger to both the abuse of data.". In the above blog posting, he listed 6 examples in which Big Data fails.
1. Data subtraction: Ken Robinson
2. Data addition: Bogus learning theory
3. Claims beyond the data – University League Tables
4. Skewed data - PISA (Programme for International Student Assessment)
5. Faked data
6. Dirty data deeds
When Big Data goes bad: 6 epic failsby Donald Clark
http://donaldclarkplanb.blogspot.sg/2013/11/when-big-data-goes-bad-6-epic-fails.html?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed:+blogspot/dcplanb+(Donald+Clark+++++++Plan+B)
Big data is the current buzz word in the IT world as well as in education. According to Donald Clark, "Data, in the wrong hands, whether malicious, manipulative or naïve can be downright dangerous. Indeed, when big data goes bad it can be lethal. Unfortunately the learning game is no stranger to both the abuse of data.". In the above blog posting, he listed 6 examples in which Big Data fails.
1. Data subtraction: Ken Robinson
2. Data addition: Bogus learning theory
3. Claims beyond the data – University League Tables
4. Skewed data - PISA (Programme for International Student Assessment)
5. Faked data
6. Dirty data deeds
by Donald Clark
http://donaldclarkplanb.blogspot.sg/2013/11/when-big-data-goes-bad-6-epic-fails.html?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed:+blogspot/dcplanb+(Donald+Clark+++++++Plan+B)
Big data is the current buzz word in the IT world as well as in education. According to Donald Clark, "Data, in the wrong hands, whether malicious, manipulative or naïve can be downright dangerous. Indeed, when big data goes bad it can be lethal. Unfortunately the learning game is no stranger to both the abuse of data.". In the above blog posting, he listed 6 examples in which Big Data fails.
1. Data subtraction: Ken Robinson
2. Data addition: Bogus learning theory
3. Claims beyond the data – University League Tables
4. Skewed data - PISA (Programme for International Student Assessment)
5. Faked data
6. Dirty data deeds
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