Wireless Sensor Network and AI Application for Educational Technology Course
نویسندگان
چکیده
Over the course of its long development, modern educational technology curriculum has undergone several changes and amassed a lot information. Theoretically speaking, state places strong priority on use IT in schools. Students majoring education should take courses so that they can learn characteristics application techniques core current information-based teaching media incorporate them into their own lesson plans classroom activities. This will help meet information needs today’s classrooms as evolve with advent modernization availability Thus, this research employs wireless sensor network (WSN) to gather send data ed tech classes then AI assess those classes’ quality guide real-time how are taught complete following tasks: (1) The development status WSN at home abroad is introduced. (2) introduced, basic principle GRU neural related optimization algorithms expounded, evaluation system constructed. (3) IPSO-Adam-GRU model improves network’s hyperparameters improved PSO approach Adam gradient descent. fed test for evaluation, findings compared from an expert’s determine well performs. results demonstrate established article superior others since it provides more accurate assessment.
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ژورنال
عنوان ژورنال: Journal of Sensors
سال: 2023
ISSN: ['1687-725X', '1687-7268']
DOI: https://doi.org/10.1155/2023/2093354