Evaluation of Improvement of Information Teaching Ability Based on Complex Online Network | Zendy

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Evaluation of Improvement of Information Teaching Ability Based on Complex Online Network

Author(s) -

Feng Li

Publication year - 2021

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2021/8339160

Subject(s) - computer science , ranking (information retrieval) , preference , measure (data warehouse) , evaluation methods , focus (optics) , knowledge management , artificial intelligence , machine learning , data mining , reliability engineering , mathematics , engineering , statistics , physics , optics

The evaluation of the improvement of information teaching ability (ITA) helps teachers to proactively learn advanced information teaching techniques and to realize innovative information teaching. The relevant studies mainly focus on the theoretical level and rarely deal with the growth of teachers through learning. Therefore, this paper presents an evaluation method for ITA improvement based on complex online network. Firstly, an analysis framework was established for the activity of the ITA improvement network (ITAIN) and used to measure the ITAIN activity under the learning condition of complex online network. Following the evaluation strategy of preference ranking organization method for enrichment evaluation (PROMETHEE), the author constructed an evaluation model for the improvement of ITA and an evaluation index system (EIS) of five primary indices. The proposed model was proved effective through experiments.

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