Effect Of Ai-Enhanced Discussion Strategy On Students' Interest In Prose Fiction In Senior Secondary Schools In Ebonyi State, Nigeria
Main Article Content
Abstract
The study examined the effect of AI-Enhanced Discussion Strategy on Students' Interest in Prose Fiction in Senior Secondary Schools in Ebonyi State. Three purposes, research questions, and hypotheses guided the study. The study adopted a quasi-experimental, pre-test, post-test, nonequivalent control group research design. The population of the study was 8241Senior Secondary II (SSII) Students in the two hundred and twenty-one (221) Senior Secondary Schools in Ebonyi State (3567 Male and 4674 Female students). A multistage sampling procedure was used to draw a sample size of 164 SS II students from intact classes of two coeducational schools (87 males and 77 females). The instrument used for data collection was the Prose Fiction Interest Scale (PFIS). The instrument was face-validated by three experts and tested for reliability, which yielded the KR-20 reliability coefficient of 0.91. Data were analyzed using mean and standard deviation to answer the research questions. The findings of the research questions revealed that Students taught with the AI-Enhanced Discussion Strategy have higher interest in prose fiction than those taught with the conventional approach. Female students taught prose fiction with the AI-Enhanced Discussion Strategy have higher interest in prose fiction than male students taught prose fiction with the same approach. There is no interaction between method and gender on students' mean interest in prose fiction. The hypotheses were tested using Analysis of Covariance (ANCOVA), and the findings revealed that there is a significant difference in the mean interest score in Prose Fiction of Senior Secondary Schools students taught with the AI-Enhanced Discussion Strategy and those taught with the conventional Teaching Method; there is no significant difference in the interest mean score in Prose Fiction of male and female Senior Secondary Schools students taught with the AIEnhanced Discussion Strategy; there is a significant difference in the interaction effect of method and gender on Senior Secondary Schools students' mean interest score in prose fiction. It was recommended that teachers of Literature-in-English should adopt the AI-Enhanced Discussion Strategy in teaching prose fiction, to improve students' interest in prose fiction.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
Anjorin-Ojewole, R. B. (2023). Impact of learning attitude on students' academic performance in Literature-in-English in secondary schools in Lagos State. Sapientia Foundation Journal of Education, Sciences and Gender Studies, 5(2), 219–228.
Billings, K., Chang, H.-Y., Lim-Breitbart, J. M., & Linn, M. C. (2024). Using artificial intelligence to support peer-topeer discussions in science classrooms. Education Sciences, 14(12), 1411. https://doi.org/10.3390/educsci141214 11
Collins English Dictionary. (2024). Literature. Retrieved from https://www.collinsdictionary.com/dictionary/english/literature
Dai, K., & Liu, Q. (2024). Leveraging artificial intelligence (AI) in English as a foreign language (EFL) classes: Challenges and opportunities in the spotlight. Computers in Human Behavior, 159, 108354.
Li, L., Yu, F., & Zhang, E. (2024). A systematic review of learning task design for K-12 AI education: Trends, challenges, and opportunities. Computers and Education: Artificial Intelligence, 6, 100217.
Li, W., Zhang, X., Li, J., Yang, X., Li, D., & Liu, Y. (2024). An explanatory study of factors influencing engagement in AI education at the K-12 level: An extension of the classic TAM model. Scientific Reports, 14, 13922. https://doi.org/10.1038/s41598-024-64363-3
Li, W., Zhang, X., Li, J., Yang, X., Li, D., et al. (2024). An explanatory study of factors influencing engagement in AI education at the K-12 level: An extension of the classic TAM model. Scientific Reports, 1 4 , 1 3 9 2 2 . https://doi.org/10.1038/s41598-024-64363-3
Liu, W., & Wang, Y. (2024). The effects of using AI tools on critical thinking in English literature classes among EFL learners: An intervention study. European Journal of Education, 59(4), e 1 2 8 0 4 . https://doi.org/10.1016/j.chb.2024.108 354 https://doi.org/10.1016/j.caeai.2024.10 0217 https://doi.org/10.1111/ejed.12804
Liu, X., & Zhong, B. (2024). A systematic review on how educators teach AI in K-12 education. Educational Research R e v i e w , 4 5 , 1 0 0 6 4 2 .
Oguche, M. A. (2021). Prose fiction as a tool for exploring societal themes. Journal of African Literature, 6(2), 34–48.
Sanusi, I. T., Ayanwale, M. A., & Chiu, T. K. F. (2024). Investigating the moderating effects of social good and confidence on teachers' intention to prepare school students for artificial intelligence education. Education and Information Technologies, 29(1), 273–295. https://doi.org/10.1007/s10639-023-12250-1
Sanusi, I. T., Olaleye, S. A., Agbo, F. J., & Chiu, T. K. F. (2022). The role of learners' competencies in artificial intelligence education. Computers and Education: Artificial Intelligence, 3, 100098.
Strzelecki, A., & ElArabawy, S. (2024). Investigation of the moderation effect of gender and study level on the acceptance and use of generative AI by higher education students: Comparative evidence from Poland and Egypt. British Journal of Educational Technology, 55, 1209–1230. https://doi.org/10.1111/bjet.13425
Ubi, V. O., & Udeh, J. C. (2022). Effect of cooperative learning strategy on senior secondary schools students' achievement in Literature in English. Language, Literature and Communication Journal, 4(2), 19–37. https://doi.org/10.1016/j.edurev.2024.1 00642
Xu, J., & Li, J. (2024). Effects of AI affordances on student engagement in EFL classrooms: A structural equation modelling and latent profile analysis. European Journal of Education, 59, e 1 2 8 0 8 . https://doi.org/10.1111/ejed.12808.