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Key Student Nodes Mining in the In-Class Social Network Based on Combined Weighted GRA-TOPSIS Method
Peer reviewed
Direct linkShou, Zhaoyu; Tang, Mengxue; Wen, Hui; Liu, Jinghua; Mo, Jianwen; Zhang, Huibing – International Journal of Information and Communication Technology Education, 2023
In this paper, a key node mining algorithm of entropy-CRITIC combined weighted GRA-TOPSIS method is proposed, which is based on the network structure features. First, the method obtained multi-dimensional data of students' identities, seating relationships, social relationships, and so on to build a database. Then, the seating similarity among…
Descriptors: Social Networks, Algorithms, Network Analysis, Databases
Rienties, Bart; Cross, Simon; Marsh, Vicky; Ullmann, Thomas – Open Learning, 2017
Most distance learning institutions collect vast amounts of learning data. Making sense of this 'Big Data' can be a challenge, in particular when data are stored at different data warehouses and require advanced statistical skills to interpret complex patterns of data. As a leading institute on learning analytics, the Open University UK instigated…
Descriptors: Foreign Countries, Distance Education, Data Collection, Data Interpretation
