Design of Teaching Material Evaluation Incentive Mechanism based on Game Theory
Run Yao, Guangzhi Zhang, Yaofei Wang, Rongfang Bie
Abstract
As the carrier of knowledge and the basis of teaching, teaching materials affect the teaching quality of schools. However, the selection of teaching materials in colleges and universities is in a dilemma because of the variety of teaching materials and the uneven quality of teaching materials. Blockchain has gradually drawn attention from various fields, due to its secure storage, non-forgery and non-tamper features. The combination of blockchain and teaching material evaluation can provide fair and transparent grading and evaluation for teaching materials, which is of great reference value for colleges and universities to select teaching materials. This paper proposes a reputation incentive mechanism for teaching material evaluation blockchain based on game theory, analyzes the behavior of users in the scoring stage of teaching material evaluation, and gives the Nash equilibrium solution. Through the numerical simulation experiment, the effectiveness of the incentive mechanism and the reliability of the teaching materials’ evaluation results are proved.