AIMC Topic: Teaching

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Artificial Intelligence-Based Translation Technology in Translation Teaching.

Computational intelligence and neuroscience
With the advent of the era of artificial intelligence revolution, deep learning is undoubtedly injecting new vitality into machine translation technology. In the context of artificial intelligence, teachers must find new and effective teaching ideas ...

Human Intelligence Analysis through Perception of AI in Teaching and Learning.

Computational intelligence and neuroscience
Instructional practices have undergone a drastic change as a result of the development of new educational technology. Artificial intelligence (AI) as a teaching and learning technology will be examined in this theoretical review study. To enhance the...

Multimodal English Teaching Classroom Interaction Based on Artificial Neural Network.

Computational intelligence and neuroscience
In recent years, with the rapid development of science and technology, traditional teaching methods and concepts have been frequently impacted. Artificial neural network shows excellent intelligence because of its powerful nonlinear processing abilit...

Construction and Research of Constructive English Teaching Model Applying Multimodal Neural Network Algorithm.

Computational intelligence and neuroscience
This article draws on previous research on constructive English teaching models and uses multimodal neural network algorithm theory and constructive English teaching as the theoretical basis, experimental research method, questionnaire survey method,...

A Multicriteria English Teaching Decision Model Based on Deep Learning.

Computational intelligence and neuroscience
In any stage of the teaching process, the teaching behavior depends on the decision of teachers. For English teachers, the English teaching decision level directly determines the course quality and the mining of learner potential. The existing studie...

English Teaching Quality Monitoring and Multidimensional Analysis Based on the Internet of Things and Deep Learning Model.

Computational intelligence and neuroscience
With the development of the times, English as the universal language in the world has been highly valued by the society and schools, and English skills have become a basic skill in the society. The school is actively developing, and in the process of...

Design and Implementation of IoT Data-Driven Intelligent Law Classroom Teaching System.

Computational intelligence and neuroscience
In this paper, we conduct in-depth research and analysis by building an IoT data-driven intelligent law classroom teaching system and implementing it in the actual teaching process. Firstly, the application requirements and main functions of the clas...

Pea-KD: Parameter-efficient and accurate Knowledge Distillation on BERT.

PloS one
Knowledge Distillation (KD) is one of the widely known methods for model compression. In essence, KD trains a smaller student model based on a larger teacher model and tries to retain the teacher model's level of performance as much as possible. Howe...

Employing automatic content recognition for teaching methodology analysis in classroom videos.

PloS one
A teacher plays a pivotal role in grooming a society and paves way for its social and economic developments. Teaching is a dynamic role and demands continuous adaptation. A teacher adopts teaching techniques suitable for a certain discipline and a si...

Construction of a Hybrid Teaching Model System Based on Promoting Deep Learning.

Computational intelligence and neuroscience
The rapid development of computer network technology in today's society has also brought new opportunities for the transformation of the teaching management mode of colleges and universities. Nowadays, most colleges and universities are gradually imp...