Authors :
Gitanjali Pawar; Jaydip Khose
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/mc5cwsh9
Scribd :
https://tinyurl.com/49hmsztp
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR1939
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The purpose of this study was to assess the
impact of Artificial Intelligence (AI) on education.
Premised on a narrative and framework for assessing AI
identified from a preliminary analysis, the scope of the
study was limited to the application and effects of AI in
administration, instruction, and learning.
Artificial Intelligence (AI) has emerged as a
transformative force in education, promising to
revolutionize traditional teaching and learning methods.
One critical aspect of this transformation is AI's potential
to enhance equity and inclusion in educational settings.
This paper explores the current state, challenges, and
opportunities regarding AI's role in promoting equity and
inclusion in education.
The historical evolution of AI in education is
examined, tracing its roots from early intelligent tutoring
systems to contemporary adaptive learning platforms and
virtual tutoring systems. Advances in machine learning,
natural language processing, and data analytics have
expanded AI's capabilities, enabling personalized
learning experiences tailored to individual student needs.
However, the widespread implementation of AI in
education faces several challenges, including concerns
about data privacy, algorithmic bias, and the digital
divide. It is crucial to address these challenges through
responsible and ethical AI deployment, ensuring that AI
interventions prioritize equity, inclusivity, and
transparency.
Further research is needed to explore the
effectiveness of AI interventions in different educational
contexts and to develop strategies for mitigating potential
risks and maximizing benefits. By leveraging AI
technologies thoughtfully and ethically, educators and
policymakers can work towards building a more
equitable and inclusive education system that empowers
all learners to reach their full potential.
Keywords :
Education, Artificial Intelligence, Learning Qualitative Research
References :
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- M. Campbell-Kelly, Computer, Student Economy Edition: A History of the Information Machine. Evanston, IL, USA: Routledge, 2018.
- M. M. L. Cairns ‘‘Computers in education: The impact on schools and classrooms,’’ in Life Schools Classrooms. Singapore: Springer, 2017, pp. 603–617.
- B. Coppin, Artificial Intelligence Illuminated. Boston, MA, USA: Jones and Bartlett, 2004.
- B. Whitby, Artificial Intelligence: A Beginner’s Guide. Oxford, U.K.: Oneworld, 2008.
- V. Devedžic, ‘‘Web intelligence and artificial intelligence in education,’’ Educ. Technol. Soc., vol. 7, no. 4, pp. 29–39, 2004.
- M. J. Timms, ‘‘Letting artificial intelligence in education out of the box: Educational cobots and smart classrooms,’’ Int. J. Artif. Intell. Edu., vol. 26, no. 2, pp. 701–712, Jan. 2016.
- I. Roll and R. Wylie, ‘‘Evolution and revolution in artificial intelligence in education,’’ Int. J. Artif. Intell. Edu., vol. 26, no. 2, pp. 582–599, Feb. 2016.
- Surjandy, W. Suparta, A. Trisetyarso, C. H. Kang, and B. S. Abbas, ‘‘Ward- ing off the plagiarism with the applications (Case study at Bina Nusantara university student and faculty member),’’ in Proc. Int. Conf. Inf. Commun. Technol. (ICOIACT), Mar. 2018, pp. 511–514.
- H. Sutton, ‘‘Minimize online cheating through proctoring, consequences,’’ Recruiting Retaining Adult Learners, vol. 21, no. 5, pp. 1–5, Jan. 2019.
- D. Crowe, M. LaPierre, and M. Kebritchi, ‘‘Knowledge based artificial augmentation intelligence technology: Next step in academic instructional tools for distance learning,’’ TechTrends, vol. 61, no. 5, pp. 494–506, Jul. 2017.
- R. F. Murphy, ‘‘Artificial intelligence applications to support K–1 2 teachers and teaching,’’ RAND Corp., Santa Monica, CA, USA, Tech. Rep. PE135, 2019, doi: 10.7249/PE315.
- S. Kiesler, R. E. Kraut, K. R. Koedinger, V. Aleven, and B. M. Mclaren, ‘‘Gamification in education: What, how, why bother,’’ Academic exchange quarterly, vol. 15, no. 2, pp. 1–5, 2011.
- N. T. Le, S. Strickroth, S. Gross, and N. Pinkwart, ‘‘A review of AI- supported tutoring approaches for learning programming,’’ in Advanced Computational Methods for Knowledge Engineering. Heidelberg, Germany: Springer, 2013.
- M. Saerbeck, T. Schut, C. Bartneck, and M. D. Janse, ‘‘Expressive robots in education: Varying the degree of social supportive behavior of a robotic tutor,’’ in Proc. 28th Int. Conf. Hum. Factors Comput. Syst. (CHI), 2010, pp. 1613–1622.
The purpose of this study was to assess the
impact of Artificial Intelligence (AI) on education.
Premised on a narrative and framework for assessing AI
identified from a preliminary analysis, the scope of the
study was limited to the application and effects of AI in
administration, instruction, and learning.
Artificial Intelligence (AI) has emerged as a
transformative force in education, promising to
revolutionize traditional teaching and learning methods.
One critical aspect of this transformation is AI's potential
to enhance equity and inclusion in educational settings.
This paper explores the current state, challenges, and
opportunities regarding AI's role in promoting equity and
inclusion in education.
The historical evolution of AI in education is
examined, tracing its roots from early intelligent tutoring
systems to contemporary adaptive learning platforms and
virtual tutoring systems. Advances in machine learning,
natural language processing, and data analytics have
expanded AI's capabilities, enabling personalized
learning experiences tailored to individual student needs.
However, the widespread implementation of AI in
education faces several challenges, including concerns
about data privacy, algorithmic bias, and the digital
divide. It is crucial to address these challenges through
responsible and ethical AI deployment, ensuring that AI
interventions prioritize equity, inclusivity, and
transparency.
Further research is needed to explore the
effectiveness of AI interventions in different educational
contexts and to develop strategies for mitigating potential
risks and maximizing benefits. By leveraging AI
technologies thoughtfully and ethically, educators and
policymakers can work towards building a more
equitable and inclusive education system that empowers
all learners to reach their full potential.
Keywords :
Education, Artificial Intelligence, Learning Qualitative Research