What is Deep learning in Education and why deep learning is important for Education?

Deep learning is a type of machine learning and artificial intelligence and involves going deep into many layers of network, that additionally includes a hidden layer. The deeper you dive, you additional advanced info you extract .

Deep learning in education 

Deep learning in education is an approach associated an angle to learning, wherever the learner uses higher-order cognitive  skills like the power to analyse, synthesize, solve issues, and thinks meta-cognitively so as to construct long-run understanding. 

Source Google 

Importance of deep Learning in  Education 

Deep learning is important in Education due to following points.

1. Deep learning  involves the assessment of latest ideas, linking them to already famed ideas, and principles so this understanding may be used for drawback finding in new, unknown contexts.
2. Students are heavily engaged in the learning process. They are given greater opportunity to ask questions, construct meaning, talk to and learn from and with others, develop alternatives and solutions, provide their own insights and solutions, and think more deeply with greater complexity. 
3. Students in deep learning are generally more independent learners, thoughtful, collaborative, and pro-active.
4. Deep learning entails a sustained, substantial, and positive influence on the approach students act, think, or feel.
5. Deep learning promotes understanding and application always.
6. Deep learners mirror on the non-public significance of what they’re learning. They’re autonomous they nearly teach themselves. However they’re additionally cooperative learners, with high meta-cognitive and learning skills.
7. With deep Learning  teacher can gain insight into data and can perform deep dives into data. She/he can shift through millions of pieces of content, interpret it and then can make connections and conclusions. This can positively impact the teaching and learning process.
8. Educators and students not only engage in deep learning with resources from diverse points of view but also analyze who is centered, who Is excluded, what social narratives are preserved, and the purpose for preserving those narratives. 
9. Deep learning empower students to keep active during learning. Thinking skills of Students and teacher  in deep learning to better understand the connections between content and societal contexts.
10. Objectives of deep learning emphasize inquiry-based learning and take care to get students working actively and productively in groups to create products or to solve problems together.