AIMC Topic: Reading

Clear Filters Showing 21 to 30 of 64 articles

Deep Learning-Based Correlation Analysis between the Evaluation Score of English Teaching Quality and the Knowledge Points.

Computational intelligence and neuroscience
As one of the three main courses from primary school to senior high school, improving the quality of English teaching in and out of class has become the top priority of colleges and universities. English knowledge points are complex, and domestic sch...

Effectiveness Analysis of English Newspaper Reading Teaching Based on Deep Learning from the Perspective of Online and Offline Hybrid Teaching.

Computational and mathematical methods in medicine
In recent years, China's higher education has developed rapidly, and the overall English proficiency of college students has improved significantly. In order to improve the English proficiency of students in higher education, English newspaper readin...

Does attributing mental states to a robot influence accessibility of information represented during reading?

Acta psychologica
When we read fiction, we encounter characters that interact in the story. As such, we encode that information and comprehend the stories. Prior studies suggest that this comprehension process is facilitated by taking the perspective of characters dur...

Construction and Application of a Human-Computer Collaborative Multimodal Practice Teaching Model for Preschool Education.

Computational intelligence and neuroscience
This paper adopts the multimodal approach of human-computer collaboration to conduct an in-depth study and analysis of the practical teaching model of preschool education, and applies the designed model to the actual teaching process. The application...

A Novel Deep Framework for English Communication Based on Educational Psychology Perspective.

Frontiers in public health
The impact of verbal reading practices on learning is examined from the perspective of educational psychology, using the motivation theory and the schema theory. This research intends to enhance learner's English communication abilities in response t...

Characterization of English Braille Patterns Using Automated Tools and RICA Based Feature Extraction Methods.

Sensors (Basel, Switzerland)
Braille is used as a mode of communication all over the world. Technological advancements are transforming the way Braille is read and written. This study developed an English Braille pattern identification system using robust machine learning techni...

A separable neural code in monkey IT enables perfect CAPTCHA decoding.

Journal of neurophysiology
Reading distorted letters is easy for us but so challenging for the machine vision that it is used on websites as CAPTCHA (Completely Automated Public Turing Test to tell Computers and Humans Apart). How does our brain solve this problem? One solutio...

A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals.

Nature communications
To accelerate biomedical research process, deep-learning systems are developed to automatically acquire knowledge about molecule entities by reading large-scale biomedical data. Inspired by humans that learn deep molecule knowledge from versatile rea...

Dialogue with a conversational agent promotes children's story comprehension via enhancing engagement.

Child development
Dialogic reading, when children are read a storybook and engaged in relevant conversation, is a powerful strategy for fostering language development. With the development of artificial intelligence, conversational agents can engage children in elemen...

The neural representation of abstract words may arise through grounding word meaning in language itself.

Human brain mapping
In order to describe how humans represent meaning in the brain, one must be able to account for not just concrete words but, critically, also abstract words, which lack a physical referent. Hebbian formalism and optimization are basic principles of b...