oh, I really like the truly truly paranoid bit :-D
Another option is the disconnect application, also nice.
Inge Ignatia de Waard
Posts made by Inge Ignatia de Waard
hi Sarah,
I have just published a blogpost with a quote from you, I hope that is okay? The first part is on privacy, the second part refers to you (will link that part here)
Sarah Haavind, a participant of LAK11, mentions two interesting point as well: the FB and twitter users no longer clutch to privacy (is this really true and has anyone researched this or the reasons behind it?) and secondly she adds to the privacy-commercial link: “What if the data-mining marketers know what I like? Isn't it a positive to be bombarded with ads for products I'm interested in rather than a random assortment, given their presence in our lives?”. She has a point there, but… how can small, very targeted businesses come up through the data analytics that is available?
If I had to choose, I would also like smaller companies to be able to take part in this ad-data-world. I am not interested in starbucks, I am interested in the local coffeeshop burning its own coffee beans, just because I like a variety of tastes. If I go to Ethiopia, I want to listen to local contemporary music, I am not interested in the hashed music that can be found everywhere. So to that effect, I would like it better if I could choose localized data from my profile of ‘local business’ then the big mainstream stuff. But do I need to open up my private life to get access to such time-saving and potentially interesting stuff?
Having said this, gathering and mining educational data might help us a long way to get quick access to some sustainable outcomes (learner preferences, learner critical thinking skills…). But of course, like all data mining, the proof is in the algorithm. If the algorithm is based on a wrong hypothesis, will the results then still be useful? And if data is sold to the highest bidder, then the ethics of that highest bidder better be in sync with mine.
cheers
I have just published a blogpost with a quote from you, I hope that is okay? The first part is on privacy, the second part refers to you (will link that part here)
Sarah Haavind, a participant of LAK11, mentions two interesting point as well: the FB and twitter users no longer clutch to privacy (is this really true and has anyone researched this or the reasons behind it?) and secondly she adds to the privacy-commercial link: “What if the data-mining marketers know what I like? Isn't it a positive to be bombarded with ads for products I'm interested in rather than a random assortment, given their presence in our lives?”. She has a point there, but… how can small, very targeted businesses come up through the data analytics that is available?
If I had to choose, I would also like smaller companies to be able to take part in this ad-data-world. I am not interested in starbucks, I am interested in the local coffeeshop burning its own coffee beans, just because I like a variety of tastes. If I go to Ethiopia, I want to listen to local contemporary music, I am not interested in the hashed music that can be found everywhere. So to that effect, I would like it better if I could choose localized data from my profile of ‘local business’ then the big mainstream stuff. But do I need to open up my private life to get access to such time-saving and potentially interesting stuff?
Having said this, gathering and mining educational data might help us a long way to get quick access to some sustainable outcomes (learner preferences, learner critical thinking skills…). But of course, like all data mining, the proof is in the algorithm. If the algorithm is based on a wrong hypothesis, will the results then still be useful? And if data is sold to the highest bidder, then the ethics of that highest bidder better be in sync with mine.
cheers
hi Holly,
I do agree with all of your points in that they could definitely increase relevant finding performance of all of us as learners.
One remark though, in my institute we are discussing the 'Future of education', meaning how the institute will restructure itself as an educational institute. The most difficult part is for them to be willing to be open, and to give outside students access to some materials. In fact, turning f-2-f content into online content is seen as a problem, all because of old school thinking (I think): research needs to be closed, we need to have students, ....
So although opening up seems the most logical step to me as well, to get those students that best fit (parts) of your program, the human protective impulse will be a difficult nut to crack.
Ironically, many students are starting to go that way already, I wrote a blogpost on this here.
Thx for the great post
I do agree with all of your points in that they could definitely increase relevant finding performance of all of us as learners.
One remark though, in my institute we are discussing the 'Future of education', meaning how the institute will restructure itself as an educational institute. The most difficult part is for them to be willing to be open, and to give outside students access to some materials. In fact, turning f-2-f content into online content is seen as a problem, all because of old school thinking (I think): research needs to be closed, we need to have students, ....
So although opening up seems the most logical step to me as well, to get those students that best fit (parts) of your program, the human protective impulse will be a difficult nut to crack.
Ironically, many students are starting to go that way already, I wrote a blogpost on this here.
Thx for the great post
hi all,
I follow the remark that it is US-centered, but also that it is rather old school in its questions (putting a robot next to a male or female toilet icon is not new, at least put in a third gender), similar with the geographic linking (that is 20th century thinking).
Additionally, I felt like selecting 'wrong' answers to get a more differentiated result, I did not want the results they gave me as I am an eclectic person and it only featured (US) limited top 5 (because I am quickly bored by repetition).
And as some of you mentioned before, what is the relationship, what is the data-mining algorithm? And why are algorithms mostly for mainstreams?
In the end I got 'firefly' in as a series, okay so that works for me and so I stopped.
If data is used for educational purposes, it should be open and transparent, so it can be viewed in a way that is favorable for the learner (holistic, specific, links...).
I also do not belief hunch is without commercial idea, I think that the suggested magazines for instance might be in the algorithm to come forward. Some sort of hidden advertisement. Well that is what I would do if I were into profit: get advertisers in and tell them that if they pay X dollars, I would tweek the algorithm.
As such, this is my result, so how diverse are our results :-)
I follow the remark that it is US-centered, but also that it is rather old school in its questions (putting a robot next to a male or female toilet icon is not new, at least put in a third gender), similar with the geographic linking (that is 20th century thinking).
Additionally, I felt like selecting 'wrong' answers to get a more differentiated result, I did not want the results they gave me as I am an eclectic person and it only featured (US) limited top 5 (because I am quickly bored by repetition).
And as some of you mentioned before, what is the relationship, what is the data-mining algorithm? And why are algorithms mostly for mainstreams?
In the end I got 'firefly' in as a series, okay so that works for me and so I stopped.
If data is used for educational purposes, it should be open and transparent, so it can be viewed in a way that is favorable for the learner (holistic, specific, links...).
I also do not belief hunch is without commercial idea, I think that the suggested magazines for instance might be in the algorithm to come forward. Some sort of hidden advertisement. Well that is what I would do if I were into profit: get advertisers in and tell them that if they pay X dollars, I would tweek the algorithm.
As such, this is my result, so how diverse are our results :-)
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Hi Steven,
Nice to connect to you in this course.
Greetings,
Inge
Nice to connect to you in this course.
Greetings,
Inge