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There is an understandable interest in deep-learning, after all, who wants their students to have a superficial understanding of the content. Read the marketing of almost any school and you are likely to find some statement about the deep-learning that is achieved as a result of their excellent teaching and learning platform. Likewise, ask any teach about their philosophy of teaching and you will hear how they engage their students with learning that promotes a deep-understanding.

With our goal of deep-learning in mind where do we begin and what learning opportunities might result in this? Having clarified our key terms of understanding, learning and deep, we can turn to a set of questions which might be of use as we plan the learning our students will engage in along their way.

Our goal might be to support Deep versus Surface Learning, but what does this mean in practical terms. What are the beliefs and dispositions which support teaching for deep learning, and what are the implications of this in terms of the pedagogy we adopt?

It seems that thanks to COVID19, educators, parents and students are in a rush. It seems the rush started moments after the decision was made to promote social distancing by offering remote learning. From quality learning in classrooms focused on deep learning we shifted into top gear. Packets of work were prepared, online tools rapidly expanded, new options for content delivery were examined and quickly deployed. We wanted to make sure that our students would be kept busy. Parents wanted their children to be busy. - Maybe slow looking is the solution?

When we approach this task with key questions in mind, we focus our thinking on how we might plan learning experiences and opportunities that will have the impact we desire.

Of all the subjects that our students engage in, mathematics is the one most requiring an injection of learner agency. What is it about mathematics that engenders it to modes of teaching that are so heavily teacher-directed? How might this change if we seek to understand the place that learner agency plays in producing learners who will emerge from our classrooms with a love of mathematics and a deep understanding of its beauty?

Education is a field that aims to assist future teachers in developing a deep understanding of various learning processes and approaches. Students pursuing their studies in the field of education are supposed to be the educational experts in the near future. So, during their stay at universities they are trained to effectively handle all teaching and learning problems in order to improve the overall educational standards nationwide. Research in education must also revolve around identifying the problems in the current educational systems and finding their solutions. Throughout the research project, the only thing that must remain under discussion is the topic of the dissertation. So, if someone chooses a good topic for an education dissertation, the chances that the overall impact of th

What the great philosophers thought about life

With the increasing use of artificial intelligence and automation, the way of doing things is changing in almost every sphere of life. Neural networks are also an integral part of this process. Working just like a human brain, this network is changing the world. Because of this, humans now do not have to do repetitive and time-consuming tasks. In this artificial intelligent world that is full of automation and deep learning technologies, these networks play a crucial role in solving complex problems and tasks using minimum time and money. This article can help you understand neural network analysis's most common uses and benefits.