Human-AI collaboration in the analysis of literary narratives:a new pedagogical paradigm

Abstract

The digitization of education in Kazakhstan has demonstrated the importance of using AI in the teaching of literature. The purpose of this article is to evaluate the effectiveness of collaboration between humans and AI in improving students' analytical and interpretive skills when studying literary narratives in the context of higher education. The study applied a true experimental design with  a randomized controlled trial (RCT) with a pre-test/post-test control group structure. A voluntary purposeful sample (40 participants in total) with elements of randomization was used (all participants were randomly divided into two groups).The results showed that the t-test results indicated the importance of using ChatGPT, as it showed a statistically significant improvement in literary analysis skills among students. There is also a high level of positive perception of learning using AI elements. This indicates the effective introduction of AI technologies as an important factor in increasing student motivation and engagement. The main challenges to the further integration of AI systems into literary education are technical unpreparedness, further integration of AI systems into literary education are technical unpreparedness, lack of experience and skills in interacting with special programs. The advantages of using AI include the formation of individual educational trajectories, increased access to information sources, interactivity and support. The conclusions emphasize the importance of scaling up the study to obtain new empirical data.