University Assignment: Artificial Intelligence Article Review

This report is an article review focusing on the advancements of Artificial Intelligence (AI) and Big Data, particularly within educational applications. The review analyzes an article discussing the implications of AI on the educational sector, including the challenges and opportunities presented by internet-connected technologies and the development of AI-based platforms. The analysis is structured around the introduction, research methods, discussion, and methods for qualitative studies, examining the problems, procedures, and findings related to AI implementation. The review emphasizes the importance of AI in creating user-friendly applications, the evolution of educational ontologies, and the potential of AI and Big Data integration. The conclusion highlights the precise manner in which the article is written and the clear statement of the problem within the research based on AI technologies supporting internet-based learning.

Running head: ARTIFICIAL INTELLIGENCE
Artificial Intelligence
Name of the Student
Name of the University
Author’s note

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Article Review
O'Leary, D.E., 2013. Artificial intelligence and big data. IEEE Intelligent Systems, 28(2),
pp.96-99.
Introduction
This article is retrieved from the International Journal based on Artificial Intelligence and
Big Data. This article is a peer reviewed scholarly based journal that would help in focusing on
the various forms of advancements within the Information Systems based on Artificial
Intelligence (AI). The article focuses on the qualitative analysis of surveying and conduction of
research (Lajoie & Derry, 2013).
The study represents the qualitative study of research. In this particular study, the author
has discussed about the various kinds of important implications within the educational sector
based on the Internet connected technologies (Steels & Brooks, 2018). Based on the conduction
of research on the article, the author have helped in focusing on the various forms of challenges
based on the improvement of the educational sector. Different kinds of developments in the field
of AI have helped in opening vast forms of opportunities for the building of Big Data and AI
based platforms. The study on the following article helps in surveying the basics of AI platforms.
The article also puts major focus on the varied importance of the development of different
educational applications based on internet technologies (Mellar et al., 2013).
Analysis Criteria for Qualitative Studies
The critique based on the research could be divided into four sub-sections. These would
be organized for performing a qualitative study: (a) introduction to the problem, (b) research
methods, (c) specific discussion and (d) methods for qualitative studies.

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(a) Introduction to the Problem
The primary purpose of the study is to discuss about the different kinds of problems that
might have risen with the conduction of the research. In the recent times there have been some
portions of problem based on based on “reduce” and “map” based functions that have been found
within Lisp, MapReduce that would be able to break into application. The research on the article
have also raised new kinds of issues, which should be highly considered in order to progress in
the field of study. The research paper have also helped in the survey and thus helps in discussing
the importance of the web based applications within the educational sector. The study helps in
discussing the following questions: (1) Are the educational ontologies would be supposed to live
and revise through the versions in a large repository or within the web platform? (2) The time
taken before people would develop the ontologies based on education as a domain?
The author have discussed that the world of the internet is very huge. It is not smart
enough for the purpose of integration of the various pieces of information that would be needed
by any user. Such kind of integration that would be based on a user-oriented level. The authors
have helped in the discussion of the various kinds of understandings about the importance and
the ways in which different things would be related to the particular domain.
(b) Research Procedures
In the current study, the author has chosen the manner of proposing the different methods
of survey based on the previous works of other articles based on different authors. The author
has discussed that the different developers of the authoring tools should be responsible for
providing the means for the creation of educational web pages. The users of such kind of tools
should not be expected to be exclusive experts within the field of ontological engineering.

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The research within this field have helped in understanding that the different authors had
also helped for putting forward the idea of AI and Big Data Implementation. The authors have
discussed that the developer of the internet platform should provide different access to automated
information, which would be based on data processed by machines. Research conducted on the
article have helped in understanding the new technologies would be user-friendly. The use of
Artificial Intelligence within the sector have helped in the development of new kinds of
applications within the educational systems and also for the AI Platform.
(c) Discussion
The author have helped in the understanding of the findings from the various articles of
study. It has been discussed in the field of education, the people should mainly put focus on the
different forms of trends and developments. The paper helps in the survey of the various kinds of
issues that would be in relation for the development of AI enabled applications. The research
also helps in the discussion of the several kinds of application based on teaching and learning
based on the internet platform. The research based on the article helps in presenting the
background of the research based on the development of AI based systems.
The discussion from the article also helps in the introduction of the future form of
possibilities that would emerge when the AI based machines would be able to work within the
boundaries of AI and Big Data. The author have also focused on the different kinds of pre-
existing web courses and various other applications based on education. The intelligent web-
based systems of education are such kind of applications that have been developed with the use
of Artificial Intelligence technologies.

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Based on the perspective of the author, the different hierarchies of class should be able to
describe the study of the domain. They should also be able to discuss the different theories based
on learning and the processes based on instructional design.
(d) Methods for Qualitative Studies
In order to perform a brief analysis over the data and perform a research on the topic, the
author has made the use of the works of different authors. The authors have discussed that the
most important trend within the community of Big Data and AI applications that would be based
on supporting of the ideas. These form of ideas would gradually involve the educational
ontologies. These ideas would be helpful for enabling the import of ontology, extraction,
refinement, pruning and evaluation. The author has thus discussed that the ontology based
learning would be devoid from dictionaries, text, legacy ontologies and XML documents.
Conclusion
In conclusion from the article, it could be discussed that the article is written in a precise
manner. The statement of the problem within the research has been clearly stated. In the current
study, the primary field of interest is based on AI technologies, which would be helpful for
supporting the technology based on learning on the Internet platform.

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References
Lajoie, S. P., & Derry, S. J. (Eds.). (2013). Computers as cognitive tools. Routledge.
Mellar, H., Bliss, J., Boohan, R., Ogborn, J., & Tompsett, C. (2013). Learning Within Artificial
Worlds: Computer Based Modelling In The Curriculum. Routledge.
Steels, L., & Brooks, R. (2018). The artificial life route to artificial intelligence: Building
embodied, situated agents. Routledge.
Wenger, E. (2014). Artificial intelligence and tutoring systems: computational and cognitive
approaches to the communication of knowledge. Morgan Kaufmann.

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Bibliography
Fortineau, V., Paviot, T., & Lamouri, S. (2013). Improving the interoperability of industrial
information systems with description logic-based models—the state of the
art. Computers in Industry, 64(4), 363-375.
Hovy, E., Navigli, R., & Ponzetto, S. P. (2013). Collaboratively built semi-structured content and
Artificial Intelligence: The story so far. Artificial Intelligence, 194, 2-27.
Kontopoulos, E., Berberidis, C., Dergiades, T., & Bassiliades, N. (2013). Ontology-based
sentiment analysis of twitter posts. Expert systems with applications, 40(10), 4065-4074.
Monostori, L. (2014). Cyber-physical production systems: Roots, expectations and R&D
challenges. Procedia Cirp, 17, 9-13.