News‎ > ‎

Great marking guidelines which progressively get worse.

posted Sep 2, 2012, 7:55 PM by Unknown user   [ updated Sep 2, 2012, 7:59 PM ]
Article 2: Cellphone Tracking Prediction
QuestionsMarks
aDescribe the potential uses of this algorithm, providing concrete examples.

3

bExplain how widespread usage of social networking and mobile applications with geolocation have directly resulted in the prediction algorithms becoming more precise.

4

cDescribe how the calculations are formed by the algorithm with reference to data trends.

3

dCompare and contrast the commercial application of the algorithm in advertising to current methods.

3

eDiscuss social and ethical issues apparent with the potential usage of the algorithm.

4




Marking CriteriaMarks
Provides TWO uses of the algorithm with concrete examples.

3

Provides ONE use of the algorithm with a concrete example.

2

Provides uses of the algorithm OR provides uses and concrete examples.

1


Law enforcement: Authorities can figure out the movement patterns of particular criminals and/or crimes and station officers at the predicted location to catch the criminal or stop another crime from being committed.
Commercial advertising: Companies can deliver advertisements which are directly influenced by the person’s predicted current location to deliver relevant ads for the future.

Marking CriteriaMarks
Explains each point relating to their uses in regards with geolocation and movement and gives TWO reasons for both points.

4

Explains each point relating to their uses in regards with geolocation and movement and gives TWO reasons for one point or ONE reason for both.

3

Briefly describes the points and gives TWO reasons for one point or ONE reason for both.

2

Briefly describes the points and gives ONE reason for either point.

1



Social networking: allows information on where people are at most  times to be collected and stored on one place, making it easier for trends to be found with the amount of location information which is readily available.
Mobile applications with geolocation add to this store of information and actively contribute information regarding someone’s location every time they use that application, or just have it installed.
The algorithm therefore has more information to work off and makes less guesses as a whole, even though the entire algorithm is essentially a guess.

Marking CriteriaMarks
Provides a detailed description of the algorithm with consistent references to data trends.

3

Provides an adequate description of the workings of the algorithm  including a reference of data trends.

2

Provides little description of the workings of the algorithms or does not give any reference to data trends.

1



Partially answered in above sample answer but nevertheless;
The algorithm compares data trends of a person’s activities with his or her friend’s location trends.  The algorithm then figures out how the individual’s movements correlate with the movement’s of their friends. Any trends with certain people and dates are figured out.

Marking CriteriaMarks
Provides at least TWO contrasts or comparisons (one of each) and describes briefly each difference/similarity.

3

Provides at least TWO contrasts or comparisons or ONE of each

2

Provides ONE contrast or comparison.

1


Targeted ads can now rely on your current location rather than just your likes and dislikes and deliver ads about nearby stores.

Personal information is still used to deliver these advertisements, even more so than ever.

Marking CriteriaMarks
Provides TWO issues for negative and positive with a detailed explanation of all of them.

4

Provides TWO issues for negative and positive.

3

Provides TWO issues for negative/positives or ONE for both.

2

Provides ONE issue for  negative or ONE for positive.

1


The usual discuss 4 mark question.

Lack of privacy and information leaks.
Ability to track location in case of emergencies.
Use of location information for crime, and also for crime prevention.
Personal space and information is now less defined
Comments