Deep Learning in Education: Strategies, Recommendations, and Review

This report delves into the concept of deep learning within the context of education and study skills. It begins with an introduction to study skills and deep learning, followed by a literature review discussing the importance of deep learning for students and providing definitions based on various research papers. The report then explores the strategies required to develop deep learning from the perspectives of students, teachers, and educational institutions. It emphasizes the importance of critical thinking, active participation, collaborative learning, and online training programs. The report also includes recommendations for fostering deep learning environments. The conclusion summarizes the key findings, highlighting the significance of deep learning in enhancing study skills and academic performance. The report also cites various books and journals related to deep learning.

Study skills

Contents
1.INTRODUCTION (150)..............................................................................................................3
1.1 LITERATURE REVIEW (200)................................................................................................3
2.3 Choose appropriate literature and draw conclusions based on key points – identify the
most important areas/ topics/ subtopics.......................................................................................4
3.1. Explanation of how deep learning could be developed........................................................5
3.2 Discuss the strategies required to develop deep learning. Refer to deep learning from the
perspective of students, teachers and institutions. Give recommendations.................................5
3.3. Choose appropriate literature and draw conclusions based on key points...........................5
6. Conclusion...................................................................................................................................6
REFERENCES................................................................................................................................7
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1.INTRODUCTION (150)
Study skills are actually the skill which is terms as array which is used in tacking the
prospect of organizing and craft out new information along with retaining and dealing with
proper assessment. For more understanding it can be said as approaches or strategies which are
applied to specific learning (Kawaguchi, 2016). Deep learning is also termed as the structured
learning which is the part of broader family based on methods of artificial neutral networks. On
the other hand, learning can be supervised, semi supervised and un supervised in the particular
way for the further development of an individual. These skills are basically developed in school
or during academic journey as considering essential for acquiring good grades which can be
termed useful throughout one’s life. In this repost there will be discussion on the deep learning
about study skill and how can be further development of these deep learning. The repost will
have discussion about strategies and recommendation about deep learning among an individual.
1.1 LITERATURE REVIEW (200)
2.1 Discussion of deep learning and its importance for the foundation year student
It is important to have engagement of students in deep learning to have certain course of
objective that is needed to be achieved in desired course. The students who are belonging to
engineering background have to study wide range of subjects to have development of particular
and specific skill. These have the inclusion of technical skill and many of soft and
communication skill are basically developed in school or during academic journey as considering
essential for acquiring good grades which can be termed useful throughout one’s life.
2.1 Give a definition of deep learning according to the literature
As per the views Gupta and et.al (2015) the student has to make the realisation over the
importance of learning different styles and needs of further individuals. The author also stated
that the adaption of the learning approaches for the student’s form making the students being
learning along with great depth of processing. On the other hand, the Yang( 2016) contradicts
that there are consequences in deep learning causes which is issued difficulties in different
advance courses for more understanding of enrolment retention rates. According to Goodfellow,
Bengio and Courville, (2016) the assessment is being an important part component for
ascertaining it can be instrumental in having evidence over learning of students and having their
engagement in level of understanding of subjects. On the other hand the Zhang and et.al., (2016)
stated that the skill is having the heavy reliant on mathematics and natural sciences as
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progressive extensive programming skills as the place to be develops in place of communication
skills for the students who are belonging to engineering background.
2.2 What is known about this topic? Refer to studies on deep learning and discuss.
Deep learning is the division for basic machine learning techniques which can be based
algorithms for having knowledge over multiple levels of representation. Deep leasing has the
allocation in computational models which have multiple process of learning for layers along with
representation of data along with mullite level of abstractions. The deep learning has discovered
age over intricate structure for large data sets by having use of back propagation of algorithm to
have proper indication over change in certain parameters. This hep in having computation of
each layer as per representation of previous one. Machine learning techniques has been as
effective and relevant to world different real-world applications in bioinformatics, network
security, healthcare, banking and finance, and transportations. More understanding to the topis of
deep learning it can be stated as the Problems such as image & speech recognition have the
requirement of the input–output function which are having the insensitive to irrelevant
variations inside of input, such as variations inside position, orientation or illumination of an
particular object, or variations in the pitch & accent of speech, while being very sensitive to
particular minute variations. The students who are belonging to engineering background have to
study wide range of subjects to have development of particular and specific skill.
2.3 Choose appropriate literature and draw conclusions based on key points – identify the most
important areas/ topics/ subtopics
Form the above literature it can be concluded that the learning is turning as the important part
for achieving particular satisfaction in respect course of offering. Assessment in particular
organisation helps in motivating students over adopting deep approaches towards learning and
more engagement over this process. There is sense of observation that’s has been observed
between the perception of students regarding their engagement learning and over all stagflations
of course. The deep learning apparatus have the consistency of the list of varsities such as the
multi-layer artificial nursing which have stimulation over human brains. for better understanding
there is the Facebook have proper recognition of million images that is posted by users without
any human interventions. So it can be bitterly understood that learning of machine at work can
go through million of images with heighted accuracy. The more important field about deep
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learning can be one for natural language processing which makes the sense without having
verbal communication. This is very fairly to be good understanding over various ascents to have
the resultants over best accuracy.
3.1. Explanation of how deep learning could be developed
Throughout having the particular education, the students have the thought over retaining the
particular information in any of certain ways. this precedence is given listening and absorbing
rather than having critical thinking over. There should be the establishment of effective strategies
that could have change over mindset by helping each other and developing dep learning skills.
Hues help in students by providing skill such as problem-solving approach and decision-making
task which is needed to have maximum of creativity and innovation to extent level.
3.2 Discuss the strategies required to develop deep learning. Refer to deep learning from the
perspective of students, teachers and institutions. Give recommendations
The strategies which can be developed for the deep learning can b e by having fluid learning
which have been known for the promotion of critical thinking. This will make students to have
switch over to active learning than passive. The teacher should be turn out to be facilitator and
provide student opportunity to draw their own conclusion. The next is active participation
which enforces core subject matter as it increases, the learner understanding of core process an
procedures. There can be establishment of an online training programme by having multimedia
approach over persistent questions. Teachers can provide guidance and feedback via an online
medium and keep track of their students’ progress at all times. The next can be having
collaborative learning prompting discussion. This generally terms as the closed book learning
where the educator has the instil wisdom in their students without having no reciprocal measure.
Collaboration is a fundamental component for deep learning which enables students to have
critical review of problems with variety of perspectives. Online training programs that
accommodate goal sharing and promote a culture of communication will ultimately deliver a
richer learning experience.
3.3. Choose appropriate literature and draw conclusions based on key points
As per the views of the Guo and et.al, (2016) Assessment in particular organisation helps in
motivating students over adopting deep approaches towards learning and more engagement over
this process. It has been identified as dep learning is one of undeniable mind-blowing concept. It
can be used in creasing new feature with a lot with human interventions along with that’s it is
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improved data processing model at time of resolving major talks. Deep learning can be termed as
deep process in having the analysing of major events so theta there can be new handling of large
amount of input data so that there can be establishment of an online training programme by
having multimedia approach over persistent questions. Teachers can provide guidance and
feedback via an online medium and keep track of their students’ progress at all times.
6. Conclusion
As per the above report it can be stated that Deep learning the structured learning which is the
part of broader family based on methods of artificial neutral networks. These skills are basically
developed in school or during academic journey as considering essential for acquiring good
grades which can be termed useful throughout one’s life. There should be the establishment of
effective strategies that could have change over mindset by helping each other and developing
dep learning skills. There can be establishment of an online training programme by having
multimedia approach over persistent questions. Teachers can provide guidance and feedback via
an online medium and keep track of their students’ progress at all times. The adaption of the
learning approaches for the student’s form making the students being learning along with great
depth of processing
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REFERENCES
Books and Journals
Online
Guo, Y., and et.al, 2016. Deep learning for visual understanding: A review. Neurocomputing,
187, pp.27-48.
Goodfellow, I., Bengio, Y. and Courville, A., 2016. Deep learning. MIT press.
Zhang, C. and et.al., 2016. Understanding deep learning requires rethinking generalization. arXiv
preprint arXiv:1611.03530.
Yang, J., 2016. Deep learning.
Gupta, S. and et.al,,., 2015, June. Deep learning with limited numerical precision. In
International Conference on Machine Learning (pp. 1737-1746).
Kawaguchi, K., 2016. Deep learning without poor local minima. In Advances in neural
information processing systems (pp. 586-594).
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