2018
DOI: 10.1007/978-981-13-2907-4_15
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A Tree Based Approach for Concept Maps Construction in Adaptive Learning Systems

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Cited by 2 publications
(2 citation statements)
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“…In much of the recent work concerning the generation of CMs from multiple-choice test responses such as [41][42][43], the efficiency of the generation algorithms is a primary consideration. Our CM generation, on the other hand, uses BNs as an intermediate format, in spite of the fact that learning BNs is known to be hard problem, due to the fact that the use of BNs brings important benefits, as discussed above.…”
Section: Data Preprocessing and Construction Methodsmentioning
confidence: 99%
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“…In much of the recent work concerning the generation of CMs from multiple-choice test responses such as [41][42][43], the efficiency of the generation algorithms is a primary consideration. Our CM generation, on the other hand, uses BNs as an intermediate format, in spite of the fact that learning BNs is known to be hard problem, due to the fact that the use of BNs brings important benefits, as discussed above.…”
Section: Data Preprocessing and Construction Methodsmentioning
confidence: 99%
“…The methods discussed in [8,40] involve various statistical, machine-learning, and multiple-choice test-mining techniques, but in none of them are BNs used as intermediate structures between the raw data and the CM, as in our work. Neither does more recent work with similar objectives to ours use intermediate BNs [41][42][43].…”
Section: Automatic Generation Of Cmsmentioning
confidence: 99%