AI Application in Management, Teaching, and Learning at RMIT

This report provides an overview of Artificial Intelligence (AI) implementation at RMIT University, focusing on its applications in management, teaching, and learning. It examines how AI can automate classroom management tasks, personalize teaching methods, and improve student learning experiences. The report details specific AI applications like facial recognition for attendance, AI-driven curriculum development, and AI-based tutoring systems. It also discusses the benefits of AI in education, such as increased efficiency, improved student performance, and the ability to overcome language barriers. The report concludes with recommendations for implementing AI, including educating employees, building AI software, performing pilot projects, and utilizing matrix plotting to identify and address problems in the data management system. This analysis highlights the potential of AI to transform the educational sector and enhance the overall effectiveness of RMIT University's operations.

Running Head: AI IN RMIT UNIVERSITY
AI in RMIT University
Name of the Student
Name of the University
Author Note

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Table of Contents
Introduction................................................................................................................................3
Management...............................................................................................................................4
Teaching.....................................................................................................................................5
Learning.....................................................................................................................................6
Implementing Artificial Intelligence..........................................................................................7
Recommendations for the application........................................................................................9
Conclusion................................................................................................................................10
Bibliography.............................................................................................................................11

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Introduction
RMIT is a university that is located in Australia an despite their supremacy as an
academic institute, wants to implement the Artificial Intelligence for the better management
of data that are to be stored in the data base of the organization. The major reason behind this
implementation of ArtificialIntelligence is that the higher authority of the RMIT University
thinks that the data processing can be performed with higher efficiency with the help of the
implementation of Artificial Intelligence (Rickel and Johnson 2015). For implementation of
the Artificial Intelligence certain methodologies are required for completing the
implementation process of the Artificial Intelligence in the platform of database management
system and this is the sole reason that implementation of Artificial Intelligence is considered
to be important in perspective of the RMIT data management platform. The methodologies of
implementing the Artificial Intelligence acts as the major hindrance in the processing of the
data management by the RMIT University. This report will include the application of
Artificial Intelligence in the field of management of the knowledge centre. This report will
also provide the application of Artificial Intelligence in the field of teaching (Rickel and
Johnson 2015). This incurs the fact that the data management is performed with utmost
efficiency. This report will also provide the processing of Artificial Intelligence in the field of
learning process of the RMIT. This report willalso help in implementation of the Artificial
Intelligence in the field of data centre of the RMIT University. This report will also provide
recommendations that are requiredfor proper implementation of Artificial Intelligence.
With the advancement of technology, the change is visible to almost every domain.
The educational sector is not so different. The presence of artificial intelligence in education
is not so new concept now (Beck, Stern and Haugsjaa 2014). It is providing an excellent
opportunity to completely transform the sector. There are numerous application that is
possible to derive with the AI system. However, three of the most important aspects of the

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education system is learning, teaching and management. All these three aspect of the
education system is likely to be benefitted from the application of the AI system and the
change is already making the presence in those areas.
Management
When thinking about the management, the task that needs to be considered is the
classroom management which includes creating proper curriculum for the classes, keeping
track of the student performance, attendance of students and also the attendance of the
teachers.
Now over the years all these things were being managed semi automatically (Schank
and Edelson 2015). Now with the introduction of AI, the technology will shift this approach
as the technology has the ability to fully automate these tasks and bring more perfection in
the execution as well.
Some leading university around the world has already implemented the AI the
campus, though majority of the application is in pilot phase. However a high School in china
has already implanted AI for keeping track of the student attendance through facial
recognition (Luckin, Holmes and Griffiths 2016 ). The system verifies the image of the
student face with the photo stored in the database and provides real time and accurate
attendance. This helps in intelligent monitoring of student attendance.
AI also helps to keep track of the teacher attendance in the similar way. Making
curriculum and assign teacher for the each of the classes is an important management task
which needs perfection (Schank and Jona 2014). Ai along with the machine learning analyse
the performance of the students against a set pattern of curriculum which helps to create a
perfect learning outcome that increases students adaptability with the course. It is not a

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simple task at all. However the introduction of AI for classroom management will really
increase the productivity in this aspect.
Teaching
The AI opens a lot of opportunity for the teaching and for the teacher as well. It
provides a wide range of option for the teachers to reach and teach the concept to the
students.
Often the teacher does not have the proper time or the opportunity to teach the
concept and deliver the content so that each and every student in the class grasp the concept
equally (Conati, Porayska-Pomsta and Mavrikis 2018). This is obvious as different students
learn differently due to difference in intelligence and learning style. Now the AI based
applications such as Knewton, ALEKES learns the learning pattern and an insight into that
help to create and deliver content that is personalised and tailored as per the need of the
student.
The AI based app also help the teachers to grade the students. It let the teachers to
submit all the assignments to the AI based grading system. The system calculates all the
marks in quick time, thus providing the teacher more option to focus on things like content
creation, lecture delivery and other useful stuff (Luckin, Holmes, Griffiths 2016). The AI
based applications are also smart enough that checks the plagiarism of the assignments more
accurately than the traditional plagiarism checking software. Hence the AI based
applications, while doing this things on behalf of the teacher making the job easier for them
and also helping them in focusing on activities that involves pure teaching and learning.
It is true that the teacher might not made himself or herself available all the time.
Even if the teacher extends his or help for the students beyond the classroom, still it is not

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possible to achieve. The application of AI based tutor is a new addition in this directions. The
Watson by IBM is a smart approach while transforming the role of teacher with AI (Punie,
dos Santos and Mitic 2016). The Watson education by IBM has made revolutionary
achievement in this direction.
The AI system is also proving beneficial for the teacher to improve the performance
of their student as well. The Tacoma Public School District has already successfully
implemented this technology (Aletdinova and Bakaev 2016). The AI based school application
by Microsoft has been used by the school. It basically integrates tools such as Office Graph
API, Cognitive Services and Media Analytics with the machine learning. It provides a deep
insight into the performance of the student and those performance is then displayed visually.
The introduction of the AI in the classroom program has significantly improved the
performance of the student. According to the authority, the AI powered analytics has
increased the graduation rates from 55% to 82.6% over six years.
Learning
The AI is also helping students to learn whenever, whatever and however they want to
learn. Combining these three aspect was never been so easy (Arai and Matsuzaki 2014). The
technology has made this thing possible, whereas the AI has taken this approach to a
completely new level.
Students often finds it difficult to learn topics that is being taught in the classroom as
they often get lost between other students and as a result they often find it difficult to follow
along the teacher and what is being taught (Arai and Matsuzaki 2014). The AI is providing
new means to the student to overcome this problem. One application that is worth mentioning
in this content is the Mika by Carnegie Learning. It provides one to one attentions to every
students and over the times it learns the learning patterns of the student and deliver the

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content in such a way that the students learns the best without any difficulties. It also shows
the daily progress of the students so that it is easy for the students to understand which areas
they are improving and areas that needs improvement (Rybakova and Fomina 2015). Some
similar applications are Thinkster Math, netex learning.
Students often lost interest in the class as they does not understand what is being
taught in the class. One of the major reason is the language barrier. Presentation translator by
Microsoft is an excellent choice to eliminate this barrier (Rybakova and Fomina 2015). It
makes use of the Azure Cognitive Services, AI-powered speech recognition system. It helps
the students to interpret things that is being said in the native language, thus providing the
students enough flexibility to learn things in the language they wants and what they finds
best.
With the help of AI, students will be able to learn beyond classroom. AI is making the
learning engaging and attractive as it is taking the teaching and learning outside the
traditional classroom and thus providing new opportunities not for the students, but for the
teachers as well (Arai and Matsuzaki 2014). Thus making the teaching and learning more
effective and engaging than ever.
Implementing Artificial Intelligence
Educating the employees
Educating the employee’s acts as one of the major implementation step that will help
in procuring the methodology that must be taken in order to complete the business processing
of the Artificial Intelligence in the prospect of data management system (Punie, dos Santos
and Mitic 2016). This acts as the major step that helps in efficient functioning of the platform
that is created with the help of Artificial Intelligence.
Building AI Software from Open Source

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International organizations namely Facebook and other social networking platforms
includes the fact that the data management is performed with the terminology of the
perceptive software, with the help of the Artificial Intelligence helps in efficient usage of the
configuration that is present in the processing of the data management (Aletdinova and
Bakaev 2016). This is the main reason that the usage of Artificial Intelligence is
implemented. Deep learning algorithms are used for transforming the processing of the
resources that are used in the processing of the data management. The cost that is required for
the transcription of the low algorithm in the database is very low but the cost that will be
incurred for the operator is comparatively high and this is the sole reason that the total cost
that is incurred in the projection of the database is very high. The organizations that
implement the processing of Artificial intelligence RMIT University must implement
cognitive windows in the processing of the database as they need to build the entire project in
the terminology of the Artificial Intelligence (Aletdinova and Bakaev 2016). This is the
reason the developing team must be set in order to procure the project management with the
help of the Artificial Intelligence. Providing strategies to the cognitive window is one of the
major reason for the increased efficiency of the process.
Perform Pilot Project
For performing the pilot project, understanding of the requirement of the project must
be understood. This is important as the data processing of the data base is calculated with the
help of the low mean algorithm that helps in calculation of the data management procedure in
the platform that is used by that of the platform of Artificial Intelligence (Arai and Matsuzaki
2014). After the procedure that is implemented and internal as well as the external
methodology of the Artificial Intelligence provision. After performing the pilot test the
framework of the Artificial Intelligence platform is created and this acts as one of the major
step for completion of the project of RMIT University.

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Matrix plotting
For the implementation of efficient matrix, the main thing that is taken into
consideration is that the problems that are present in the platform is are plotted in the 2x2
matrix and this acts as oneof the major reason that implements the processing of data
management (Arai and Matsuzaki 2014). In case the data is plotted in 2X2 matrix and the
problems are plotted with higher accuracy, the requirement of the system is plotted with
highest efficiency and this is the sole reason that the problems that are present in the course
of the project completion gets plotted and t gets easier for the operating team ti mitigate the
problems. External gap analysis is performed in order to complete the processing of data that
are stored in the data base of the system.
Provide sufficient security
In this stage the risks that are calculated in the matrix stage gets mitigated by
following methodologies that are required for the completion of the project (Rybakova and
Fomina 2015). This is the sole reason that the data base that is present in the platform of
artificial intelligence stays protected for the imposters who try to gain unauthenticated access
to the data that are stored in the data base that uses Artificial Intelligence.
Recommendations for the application
Recommendations that must be implemented in the course of the data management
process of Artificial Intelligence are as follows: -
 Usage of black box must be banned and this is the sole reason that the algorithmic
system must be used in terminology of the education society of RMIT University
(Rybakova and Fomina 2015). This helps in understanding the licensing of the
product.

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 Proper Licensing is one of the most important requirement that must be fulfilled in
order to complete the processing of the data management with higher legalization
(Punie, dos Santos and Mitic 2016). This is one of the main reason that the data
management will be done with proper legalization.
 Pre-release of the platform must be done and after pre releasing the platform, several
tests must be performed in order to complete the processing with proper accuracy
(Punie, dos Santos and Mitic 2016). In case the platform of the artificial intelligence is
tested initially, the processing of the data management will be performed with higher
accuracy and this is the sole reason that the pre testing pf the software is essential.
 After launching the platform, RMIT University must continue to monitor the same as
this will ensure the processing of the data management of the major terminology and
this will act as a cushioning and this is the reason that proper monitoring is required
(Arai and Matsuzaki 2014). In case the processing is not performed with proper
monitoring it can be understood that the management of the system might not be
performing well and the accuracy level might be lacking
Conclusion
From the above discussion it can be concluded that the artificial intelligence is a new
emerging technology in the world which will help the human of the futures by acting with
them also as a human. This idea of artificial intelligence always surprised the humans with
the new inventions, innovations and with new ideas. The main interesting part of the artificial
intelligence is that it is not developed to its utmost point but it is developing day by day. This
means many new features of the artificial intelligence are about to come. With this there is
also a concern about the future of the artificial intelligence. Many scientist believes that in the
optimal development stage of the artificial intelligence this will be able to do a same task
better than the human. If the artificial intelligence system is able to do better in some specific

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domains then this implementation can be used in such cases where the human is unable to
reach to perform the same task. This artificial intelligence can help in various domains like in
a research field where the AI system will able to do the same research with more perfection.
Also, this artificial intelligence system can be used in the space research system. But for most
of the cases this artificial intelligence implementations are hypothetical but from the present
implementations is has already shown its capabilities to the world. Beside many advantages
the artificial intelligence have many disadvantages. It can be also used for the destruction
purpose. So, the human needs to aware about that this technology must not be used for some
bad purposes. Artificial intelligence can be good or can be bad. It depends on the humans
how they implement this technology.

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Bibliography
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argument for AI in education.
Schank, R.C. and Jona, M.Y., 2014. Issues for psychology, AI, and education: A review of
Newell's Unified Theories of Cognition. Artificial Intelligence in Perspective, p.375.
Conati, C., Porayska-Pomsta, K. and Mavrikis, M., 2018. AI in Education needs interpretable
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argument for AI in education.
Punie, Y., dos Santos, A.I., Mitic, M. and Morais, R., 2016. How are Higher Education
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