92 achieves higher grading accuracy this system

92

achieves higher grading
accuracy. This system provides
spelling error feedback and
grammatical error feedback to
the students. This system
improves the accuracy of
scoring when compared to
other system.
(Describe the
research/current solution)
Evaluation Criteria How this research/current
solution is valuable for your
project
What is the Future work
that set by the author in
Conclusion and Future work
section
(Yang et al., 2019) proposed
AGCE (Automated Grader for
The solution provides an
acceptable range of accuracy in
The research and the proposed
method are used to
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Chinese Essay) system to
automatically grade essay
written in Chinese language
and to provide constructive
feedback to the students. They
offer a solution to the problem
by combining shallow and
deep semantic analysis of the
essay. The system reduces the
error rate by 5% when
compared with the other
solution. AGCE system
achieves higher grading
accuracy. This system
provides spelling error
feedback and grammatical
error feedback to the students.
This system improves the
grading Chinese essay which
are written by school students
and provides constructive
feedback to the students. The
system reduces the error rate by
5% when compared with the
other solution. AGCE system
achieves higher grading
accuracy. This system provides
spelling error feedback and
grammatical error feedback to
the students. This system
improves the accuracy of
scoring when compared to
other system.
automatically assess essay that
are written in Chinese
language. Automated Essay
Evaluation evaluates essay and
also provides feedback to
those writing which can
improve student’s writing.
AGCE (Automated Grader for
Chinese Essay) can
automatically grade essay
written in Chinese language
and provides instant feedback.
Feedback helps to improve
student’s writing skill.
The research is very useful in
my project as I am also doing
similar project to assess
students writing automatically.
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accuracy of scoring when
compared to other system. In
the future, the author wants to
further investigate and
perform some research of
some semantic attributes and
constructive feedback to
improve the accuracy and
performance of the system.
The proposed algorithm can be
useful for my project to
automatically mark student’s
paper because I can also use
similar technique and propose
my technique. This research
can be taken as reference and I
can apply this system in my
research as well.
In the future, the author wants
to further investigate and
perform some research of
some semantic attributes and
constructive feedback to
improve the accuracy and
performance of the system.
Diagram/Flowchart
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Reference in APA format that will be in 'Reference List'
(This give the Reference of the Journal Paper that the author selected and improve it
(State of art of his work) )
HAO, S., XU, Y., KE, D., SU, K., & PENG, H. (2014). SCESS: a WFSA-based automated
simplified chinese essay scoring system with incremental latent semantic analysis. Natural
Language Engineering , 22 (2), 291–319.