An Efficient Data Mining Approach to Concept Map Generation for Adaptive Learning

Semi-Automatic Generation of Competency Maps Based on Educational Data Mining

“…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.…”

“…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].…”

Prerequisite-related MOOC recommendation on learning path locating

“…Liu studies the learning dependence between knowledge points through text analysis [6]. Some research is based on the analysis of the concept map to establish the prerequisite relationship between the knowledge [7][8][9]. Wikipedia is often used for prerequisite training.…”

Improving an AI-Based Algorithm to Automatically Generate Concept Maps

“…On the other hand, the process of constructing concept maps is considered to be a tedious task as a reasonable amount of time and effort are consumed in analyzing the different associations among the concepts to generate a concept map of good quality (Khrais & Saleh, 2017). Due to the limitations, some researches such as Atapattu et al (2017), , Huang, Yang, & Lawrence (2015), , Zubrinic, Kalpic, & Milicevic (2012) and Chen & Sue (2013), have proposed intelligent tools and algorithms to automate this process and generate accurate maps in comparatively lesser time and efforts.…”