the-use-of-ai- to-transform-learning-capacities

The use of AI to transform learning capacities

Large literary corpora can now be searched for intricate patterns and insights thanks to the increasing capacity of artificial intelligence as a pattern-learning tool. Text analysis techniques enabled by artificial intelligence (AI), such as natural language processing and machine learning, enable scholars and researchers to study literary works in a way that was previously unattainable. Through the identification of recurring themes, character interactions, and sentiment assessments throughout works, these resources can aid in literary criticism and comparative research. Neural networks and language models are other AI algorithms that have been trained to generate literary pieces. This allows for creative exploration and inventive storytelling. It is thrilling for writers and literary scholars alike that the integration of artificial intelligence (AI) and literary analysis enhances our understanding of literary works and creates new opportunities for imaginative storytelling. 

Artificial intelligence (AI) is being used in pedagogical approaches to increase teaching efficacy, personalise education, and enhance learning experiences. This represents a revolutionary leap in educational methodologies. The potential benefits of integrating AI technology into pedagogy are numerous and include personalised learning pathways and automated administrative work, which free up teachers to concentrate more on engaging and innovative teaching. Tailored Education Personalised learning is made possible by AI, which is one of its greatest contributions to education. The different learning styles and speeds of pupils are often difficult for traditional classroom environments to accommodate. AI is able to evaluate performance data on an individual basis, pinpoint a student's areas of strength and weakness, and modify course material to suit their unique requirements. Intelligent tutoring systems, such as Carnegie Learning's MATHia, employ artificial intelligence (AI) algorithms to deliver personalised lessons and real-time feedback. This allows students to advance at their own speed and understand subjects in which they may find difficulty. Systems of Adaptive Learning 

A subset of customised learning aids known as adaptive learning systems dynamically modify the level of difficulty and kind of content offered in response to interactions from the learner. These systems forecast the optimal learning path for kids based on complex algorithms. Adaptive learning strategies are used by maths education platforms such as Dream Box to continuously evaluate and adjust to the demands of students. This keeps the learning process demanding yet doable, which keeps students interested and motivated.AI-Powered Evaluation An effective teaching must include both assessment and feedback. Assessment technologies driven by AI have the ability to furnish prompt and comprehensive feedback on students' performance, facilitating more focused and timely interventions. Machine learning is used by automated grading systems, like Grade Scope, to help in assignment grading. This lessens the administrative load on teachers and produces consistent, impartial judgements. This frees up teachers to spend less time on mundane activities and more time creating and presenting educational content.  

Creative Content Creation using Intelligence AI helps in the production and selection of educational materials as well. AI is used by programmes like Knewton and Smart Sparrow to create personalised learning materials based on the learner's profile and development. The extra materials, including articles, videos, and exercises, that are most pertinent to the student's educational path can be suggested by these platforms. AI frees up teachers to concentrate on providing high-quality instruction and encouraging a better comprehension of the subject matter by automating the content generation process. Increased Involvement of Students Effective learning requires student involvement, and AI has the potential to significantly increase that engagement. AI-driven chatbots and virtual assistants, such as IBM Watson Tutor, can help students around-the-clock by responding to their inquiries, clarifying things, and assisting them with challenging subjects. These resources can help create a more inclusive learning environment by encouraging students to ask for help when they need it and by making learning more engaging and accessible. Data-Based Perspectives AI gives teachers access to strong data analytics tools that allow them insight into the behaviour and performance of their students. Artificial intelligence (AI)-enabled learning management systems (LMS) are capable of tracking and analysing a wide range of data points, including exam results, assignment completion, and attendance and participation. With the use of data, educators may spot patterns, track advancement, and make wise choices to improve teaching methods and student results. 

 Ethical Issues and Difficulties 

AI intervention in education has promise, but there are drawbacks and ethical issues to be aware of. It is imperative to tackle concerns like digital divide, algorithmic bias, and data privacy to guarantee equal treatment and access for every student. Together, educators and legislators must create policies and standards that support the moral use of AI in the classroom, guaranteeing that technology is used as an instrument for empowerment rather than as a cause of inequality.In summaryThe introduction of AI into pedagogy signals the beginning of a new era in education that will be marked by more involvement, adaptable systems, and personalised learning. Although there are still obstacles to overcome, artificial intelligence has enormous potential to improve education and revolutionise both teaching and learning. As artificial intelligence (AI) technology develops, implementing it thoughtfully and ethically will be essential to achieving its full potential in raising student achievement and creating a more productive, inclusive learning environment. 


1 Pal, S., Kumari, K., Kadam, S., & Saha, A. THE AI REVOLUTION. 

[1] Conole, G. & Oliver, M. Contemporary perspectives in e-learning research: themes, methods and impact on practice. Routledge, 2007. 

 [2] Thouësny, S., & Bradley, L. “Introduction on views of emergent researchers in L2 teaching and learning with technology”, in S. Thouësny & L. Bradley (Eds.), Second language teaching and learning with technology: views of emergent researchers, Dublin,, 2011, 1-8. 

 [3] Hill, J. R., Wiley, D., Miller Nelson, L., & Han, S. “Exploring research on Internet-based learning: from infrastructure to interactions”, in D. H. Jonassen (Ed.), Handbook of research for educational communications and technology, New Jersey, Lawrence Erlbaum associates, 2004, 433-460. 

 [4] Gaballo, V. “e-Collaborative language and translation classes: Motivation, Metacognition, Empowerment” in Landolfi, L. (Ed.), E-Factor: English Education, Empowerment & Emotivation, Napoli, Liguori Editore, 2017, 101-112. 

[5] Pegrum, M. Mobile learning: Languages, literacies, and cultures. London, UK: Palgrave Macmillan, 2014. 

 [6] Zhao, Y. “Recent developments in technology and language learning: Literature review and metaanalysis”, CALICO Journal, 21(1), (2013), 7-27. 

 [7] Stanley, G. Language learning with technology: Ideas for integrating technology in the classroom. Cambridge, UK: Cambridge University Press, 2013. 


[9] Bransford, J., Brown, A. L., & Cocking, R. R. (Eds.). (2000). How people learn: brain, mind, experience, and school (2nd ed.). Washington, D.C.: National Academy Press.? 

?[10] Cachia, R., & Ferrari, A. (2010). Creativity in schools: A survey of teachers in Europe.??? Luxembourg: Publications Office of the European Union.  

About the Author

Dr. Swayam Prabha Satpathy a columnist, editor career counselor and author have several years of teaching experience in various capacities. Presently she is working as  Prof in Communication Siksha O Anusandhan University in the department of Humanities. She is also a corporate behavior competence trainer. She has been awarded with Siksha Ratan Puraskar, Teacher’s Excellence award and Best Academician Award, and Special Award from Indian Institution of Industrial Engg. She has also attended, presented papers, given keynote address and chaired sessions in many National and International Conferences as National University of Singapore 2013, Imperial college of London 2016 and Harvard Cambridge University Boston USA 2019 and Department of Modern languages and Business Communication Bucharest. Authored few books on language and soft skills She is an editor and life member of Journal of Contemporary literary thought She is the editor in chief of Rupkatha journals. She is also a certified career counselor and corporate trainer in Business English. She has also published papers in National and International journals. She is also one among the 100 Indian Women Achievers.Also been recognized as Global Icon. 

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