A Comparative Study of Children's Literature in Pakistan: Traditional vs. AI-Generated Stories in Reader Engagement and Cultural Relevance
DOI:
https://doi.org/10.33195/Keywords:
multidimensional analysis, linguistic features, dimension scores, artificial intelligence, children’s literature, cultural continuumAbstract
The genre of Pakistani English short stories has been instrumental in shaping the identity of Pakistan and its people. With the rapid advancement of artificial intelligence (AI) in our digital society, there is a transformative impact on various aspects of life, including storytelling. This study delves into the evolving landscape of children's literature in Pakistan by conducting a comparative analysis between traditional short stories from Dawn Young World and AI-generated narratives tailored for young Pakistani readers. The research aims to explore the similarities and differences between these narratives using multidimensional analysis and qualitative analysis. The primary focus lies in understanding the impact of AI on storytelling for Pakistani children, specifically assessing potential variations in cultural relevance between narratives crafted by humans and those generated by AI. The study reveals significant differences in scores of dimensions 1 (involved vs. informational) between the two corpora through ANOVA followed by a mean comparison test. While AI technology demonstrates remarkable strides in emulating storytelling styles and producing involved and engaging narratives deemed superior to those by human authors, a qualitative analysis using the cultural continuum model indicates a shortfall in delivering the cultural relevance inherent in human-authored tales. The findings advocate for collaborative approaches that leverage AI's efficiency in producing linguistically rich text while preserving human creativity and societal context. The goal is to craft meaningful and culturally resonant storytelling experiences for young readers in Pakistan.
References
Alamri, B. (2023). A Multidimensional Comparative Analysis of MENA and International English Research Article Abstracts in Applied Linguistics. SAGE Open, 13(1), 21582440221145669.
Ali, S., & Ahmad, S. (2016). Discourse style variation among the leading novelists of Pakistani fiction in English: A multidimensional analysis. ELF Annual Research Journal, 18(1), 227-246.
Alvi, U., Mehmood, M. A., & Rasool, S. (2016). A Multidimensional Analysis of Pakistani Press Editorials. Dialogue (Pakistan), 11(3).
Anwar, B., & Maryam, S. (2017). Informational and interactional features of written and spoken Pakistani English. Kashmir Journal of Language Research, 20(1).
Azher, M., & Mehmood, M. A. (2016). Exploring Variation across Pakistani Academic Writing: A Multidimensional Analysis. NUML Journal of Critical Inquiry, 14(2).
Aziz, A., Pathan, H., & Ali, S. (2017). Linguistic Variation across Major Disciplinary Groups of Pakistani Academic Writing: Multidimensional Analysis of Doctoral Theses. ARIEL-An International Research Journal of English Language and Literature, 27.
Chen, Z., Zhang, Y., & Xu, X. (2021). AI-Generated Poetry: Beyond the Turing Test. IEEE Computer Graphics and Applications, 41(1), 4-12.
Choudhri, S., Zahra, T., & Shehzad, W. (2022). A Corpus-based Study of Analyzing the Lexical Specificity in the Preface Section of the Selected Pakistani Academic Textbooks. University Of Chitral Journal Of Linguistics & Literature, 5(II), 268-294.
Fareed, M., Sultan, S. R., & Shireen, K. (2021). Pakistani English Stories for Children: Linguistic and Technical Analysis. Journal of Education and Educational Development, 8(1), 95-108.
Gardner, S., Nesi, H., & Biber, D. (2019). Discipline, level, genre: Integrating situational perspectives in a new MD analysis of university student writing. Applied Linguistics, 40(4), 646-674.
Hussain, A., Aziz, M., & Iqbal, T. (2019). Empowering Children through Local Stories: The Case of Dawn Young World. Literacy Information and Computer Education Journal, 10(3), 2808-2812.
Kim, D., Pan, Y., & Park, H. S. (1998). High‐versus low‐context culture: A comparison of Chinese, Korean, and American cultures. Psychology & Marketing, 15(6), 507-521.
LaFlair, G. T., & Staples, S. (2017). Using corpus linguistics to examine the extrapolation inference in the validity argument for a high-stakes speaking assessment. Language Testing, 34(4), 451-475.
Latif, A., Qadeer, A., & Tahir, A. (2021). Linguistic Variation Among Pakistani Internet Blogs: A Multidimensional Analysis. CORPORUM: Journal of Corpus Linguistics, 4(1), 1-14.
Latif, M., Ali, S., & Shakir, A. (2022). Narrative versus Non-Narrative Concerns: Multidimensional analysis of Short Stories for Children and Adults Published in Pakistani English Magazines. Research Journal of Language and Literary Studies, 2(2), 01-22.
Mallan, K. M. (2011). Children's literature in education. George (Ed.) Oxford Research Encyclopedia of Education. New York: Oxford University Press.
Muzaffar, M., Abdulaziz, M., Rabbani, K., & Ali, B. (2022). Exploring Intra-Genre Functional Variation In Pakistani Newspapers-A Comparison Of Political News With Opinion-Based Reportage. Webology (ISSN: 1735-188X), 19(4).
Noor, S., & Shakir, A. (2015). Study of information generating linguistic features in online brands of Pakistani fashion blogs. New Media and Mass Communication, 44(1), 1-7.
Ogbuigwe, T. D. (2013). Understanding International Business in the context of cultural Lenses. Journal of Business and Management, 10(5), 35-44.
Qasim, S., & Qasim, A. B. (2021). Linguistic Variation across Pakistani Book Blurbs on Four Textual Dimensions: A New Multidimensional Analysis. CORPORUM: Journal of Corpus Linguistics, 3(2), 22-50.
Rashid, A., & Mahmood, M. A. (2019). Linguistic variations across disciplines: A multidimensional analysis of Pakistani research articles. Global Social Sciences Review, 4(1), 34-48.
Sardinha, T. B., & Pinto, M. V. (2017). American television and off-screen registers: A corpus-based comparison. Corpora, 12(1), 85-114.
Septiani, D. P., & Kostakos, P. Analysis of creative engagement in AI tools in education based on the# PPai6 framework.
Thompson, P., Hunston, S., Murakami, A., & Vajn, D. (2017). Multi-dimensional analysis, text constellations, and interdisciplinary discourse. International Journal of Corpus Linguistics, 22(2), 153-186.
Topsakal, O., &Topsakal, E. (2022). Framework for a foreign language teaching software for children utilizing AR, voicebots and ChatGPT (Large Language Models). The Journal of Cognitive Systems, 7(2), 33-38.
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