Title: An intelligent integration method of AI English teaching resources information under multi-agent cooperation

Authors: Bei Wang

Addresses: Jiangsu Vocational College of Agriculture and Forestry, Ju Rong City, Jiangsu Province, 212400, China

Abstract: The traditional integration method has low integration accuracy and long integration time. AI English teaching resource information intelligent integration method, a multi-agent collaborative algorithm for intelligent integration of intelligent English teaching resources is proposed. Based on observation results of user implicit feedback, a user interest model is constructed. The interest model is formulated into a vector set composed of multiple vectors. The weight of the ontology is estimated by number of re-entry, content, behaviour, object and time, and the bias strength of the user ontology for a certain field is obtained. An information intelligent integration model under the cooperation of multi-agents is constructed. Thus, AI English teaching resources can be intelligently integrated. The simulation results show that the integration accuracy of AI English teaching resource information can reach 100% and the integration time can be shortened to 3S under the cooperation of multi-agents, thus delivering good integration effect and high efficiency.

Keywords: multi-agent collaboration; AI English teaching; information integration; user interest model.

DOI: 10.1504/IJCEELL.2024.135266

International Journal of Continuing Engineering Education and Life-Long Learning, 2024 Vol.34 No.1, pp.88 - 99

Received: 23 Jul 2021
Accepted: 14 Feb 2022
Published online: 03 Dec 2023 *

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