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However it is necessary to remind that the backbone size generated by k-gossip increases with the number of nodes and that, being a probabilistic algorithm, it does not always generate a backbone KCDS. Finally, if we focus on the time complexity either, k-gossip and rules 1, 2 and k converge in a constant number of rounds.
In a limited sense, the KCDs are intended to be better than naturally occurring dialogues.
Five students used ATLAS, and five students used ANDES without its hint sequences instead of the ATLAS KCDs. Despite the small number of subjects, the ATLAS students scored significantly higher than the ANDES students on a conceptual posttest.
The KCDs of ATLAS will be generalized to incorporate elements of the DANs of AUTOTUTOR.
To date, ATLAS conducts just one kind of KCD, namely, those that teach domain principles.
At any point in its development, a KCD can be compiled into executable code.
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