Microsoft Word - 6310.docx 3939 Copyright © 2025 The Author IDEAS is licensed under CC-BY-SA 4.0 License Issued by English study program of IAIN Palopo IDEAS Journal of Language Teaching and Learning, Linguistics and Literature ISSN 2338-4778 (Print) ISSN 2548-4192 (Online) Volume 13, Number 2, December 2025 pp. 3947 - 3961 The Effectiveness of Using Artificial Intelligence in Folk Tale Learning Qhoriana Kikiariski1, Hary Soedarto2, Priyanto3 1,2,3 Magister Pendidikan Bahasa dan Sastra, Universitas Jambi, Jambi Corresponding E-Mail: Qorianakiki.ariski@gmail.com Received: 2025-06-16 Accepted: 2025-08-05 DOI: 10.24256/ideas.v13i2.6310 Abstract The integration of artificial intelligence (AI) in folk tale learning represents a transformative educational approach, enhancing engagement, understanding, and accessibility. AI-driven platforms facilitate narrative comprehension by providing adaptive and interactive learning environments. Computational models of narrative ability enable AI systems to simulate human-like comprehension, adjusting storytelling elements based on learners' responses. Interactive storytelling tools further support language acquisition and critical thinking by allowing learners to influence narrative outcomes. Additionally, AI fosters inclusive education through accessibility features, such as audio descriptions and scaffolding strategies for diverse learners. AI-driven adaptive learning methodologies also enhance personalized learning experiences, catering to individual needs. Moreover, intelligent tutoring systems (ITS) provide real-time feedback, optimizing instructional strategies while allowing educators to focus on pedagogical development. By revolutionizing folk tale learning, AI enhances narrative engagement, supports second- language learning, and assists educators in instructional design. This study explores the effectiveness of AI in folk tale learning by analyzing engagement levels, comprehension improvements, and accessibility benefits. Findings suggest that AI enhances folk tale learning through personalized, interactive, and adaptive storytelling experiences, fostering greater learner participation and comprehension. Keywords: Artificial Intelligence, Folk Tale Learning, Adaptive Storytelling Introduction Folk tales have long served as an essential medium for cultural transmission and language acquisition, illustrating the intricate relationship between narrative and learning. The integration of artificial intelligence (AI) into folk tale education presents an opportunity to enhance engagement, accessibility, and personalization in storytelling. This study explores how AI-driven platforms can facilitate adaptive Qhoriana Kikiariski, Hary Soedarto, Priyanto The Effectiveness of Using Artificial Intelligence in Folk Tale Learning 3948 learning experiences, ensuring that traditional narratives remain relevant in contemporary educational contexts. The research seeks to answer the following question: How can AI enhance the pedagogical effectiveness of folk tales in fostering literacy, critical thinking, and cultural appreciation? Traditional storytelling methods, while rich in cultural value, often lack personalization and interactivity, particularly for digital-native learners who thrive on engagement and adaptation (Jin, 2023). AI technologies, such as ChatGPT and StoryStream, offer solutions by enabling personalized narrative engagement and interactive storytelling. These platforms analyze user interactions to modify story elements, catering to individual comprehension levels and preferences (Lô et al., 2020). This adaptive storytelling approach bridges the gap between ancient cultural narratives and contemporary pedagogical practices, fostering deeper learner engagement (Svalastog & Allgaier, 2016). AI-powered storytelling can enhance accessibility by leveraging machine learning and natural language processing to accommodate diverse learner needs, including those facing disabilities or language barriers (Hagedorn & Dárányi, 2022). For instance, AI can adjust audio and visual components of folk tales to ensure inclusivity, making traditional narratives accessible to a broader audience (Lô et al., 2020). Additionally, AI platforms introduce interactive elements such as quizzes, discussions, and narrative branching options that stimulate critical thinking and comprehension (Shiukashvili, 2020; Shi & Nicolas, 2023). Research indicates that interactive technologies enhance cognitive engagement by fostering immersive experiences in folk tales, eliciting emotional connections that boost learner motivation (Al-Ajmi, 2016). AI-driven storytelling allows learners to influence story progression, exploring alternative perspectives and deepening their understanding of narrative structures and cultural nuances (Dewi, 2019). This aligns with findings from evolutionary educational psychology, which emphasize the importance of interactive learning experiences that align with children's natural learning preferences ("Evolutionary educational psychology: The disparity between how children want to learn and how they are being taught", 2010). The significance of AI in folk tale education extends beyond engagement and accessibility to its broader implications for cultural preservation and literacy development. Evaluating its effectiveness involves assessing engagement levels, comprehension, and cultural significance. By embedding traditional tales within modern educational frameworks, AI fosters a holistic approach to literacy that acknowledges the enduring power of storytelling in shaping thought and understanding (Grimm et al., 2014). Moreover, comparative analyses of folk narratives across cultures highlight differing perceptions and applications of storytelling traditions, enriching global literary appreciation (Lai et al., 2023). IDEAS, Vol. 13, No. 2, December 2025 ISSN 2338-4778 (Print) ISSN 2548-4192 (Online) 3949 AI's influence on cultural identity and memory in folk tale learning necessitates careful consideration. Folk tales encapsulate social values and communal wisdom, fostering shared identities. AI can dynamically situate these narratives within contemporary dialogues, preserving cultural heritage while ensuring relevance to modern learners (Alam, 2024). This balance between modernization and tradition is crucial in maintaining folk tales as a vital educational tool in evolving societies (Wu & Bhengsri, 2023). The growing integration of AI in educational settings raises critical discussions on equity. As digital education tools become more prevalent, ensuring that marginalized communities have equitable access to AI-driven folk tale learning remains imperative (d’Huy, 2019; Hagedorn & Dárányi, 2022). AI technologies must be designed to accommodate linguistic and cultural diversity, granting learners agency over their engagement with heritage narratives (Galagedarage, 2021). Research suggests that AI-driven storytelling can democratize education, fostering inclusive learning environments where all students can explore their histories and identities (Naumovska et al., 2021). Furthermore, the emotional impact of folk tales on child development is significant. Storytelling nurtures empathy, moral reasoning, and emotional intelligence. AI-driven customization of narratives enhances these effects by adapting stories to a child's learning state, encouraging them to relate to folk tale lessons on a personal level (Wójcicka, 2013). Interactive storytelling platforms hold promise for shaping a generation of learners who not only understand but embody the values derived from their cultural traditions (Wu et al., 2023). In conclusion, AI-powered folk tale learning offers an innovative approach to preserving cultural heritage while enhancing literacy and cognitive engagement. By integrating traditional storytelling with interactive AI-driven technologies, educators can ensure that folk tales remain an integral part of modern pedagogy. This study underscores the transformative potential of AI in education, advocating for ethical considerations and equitable access in the development of AI-driven storytelling platforms. As societies navigate digital advancements, AI serves as a crucial bridge reconnecting learners with their cultural identities and fostering a deeper appreciation for narrative traditions. Methodology This paper employs a qualitative approach to explore the impact of Artificial Intelligence (AI) on folk tale learning through case studies and literature reviews. By analyzing the existing body of research on AI-driven storytelling tools, narrative comprehension models, and adaptive learning technologies, this study aims to uncover how AI influences learner engagement and accessibility in folk tale education. Folk tales serve as an essential cultural component that conveys moral lessons, identity, and heritage through storytelling. Traditional methods of teaching folk tales often lack the engagement and adaptability required to captivate today’s Qhoriana Kikiariski, Hary Soedarto, Priyanto The Effectiveness of Using Artificial Intelligence in Folk Tale Learning 3950 diverse learners. Recent advancements in Artificial Intelligence offer promising avenues to enhance folk tale learning, making it more interactive and accessible. This research investigates the implications of AI on folk tale learning by assessing various AI-driven storytelling tools and their impact on learner engagement. This qualitative study employs a mixed methodology, incorporating case studies of AI storytelling applications, a review of relevant literature, observational studies, and feedback assessments from learners. The literature review examines existing research on AI in education, particularly focusing on studies that explore AI storytelling tools and their pedagogical efficacy. Case studies analyze specific AI- based storytelling applications, such as ChatGPT and StoryStream, which incorporate narrative comprehension and adaptive learning technologies to teach folk tales. The selection of these AI tools was based on their accessibility, effectiveness, and widespread usage in educational settings. This ensures that the findings are relevant to contemporary learning environments and reflect best practices in AI-driven storytelling. Observational studies involve direct observations of classroom settings where learners engage with AI-driven folk tale applications. A total of 30 participants, consisting of secondary school students aged 13–16, were selected based on their prior exposure to digital learning tools. The observations were recorded using structured field notes and video recordings to capture engagement levels, interaction patterns, and learning outcomes. These data were later transcribed and categorized for thematic analysis. Feedback assessments were conducted through structured surveys and semi- structured interviews with both students and educators. The surveys included Likert-scale questions measuring engagement, perceived effectiveness, and accessibility of AI-driven storytelling tools. The interviews were transcribed and analyzed using thematic coding to identify recurring patterns and insights regarding participants' experiences and perceptions of using AI in folk tale learning. This methodological approach ensures a systematic and rigorous interpretation of qualitative data. The findings indicate that AI-driven storytelling tools significantly impact folk tale learning by increasing learner engagement and accessibility. These tools provide interactive and immersive storytelling experiences that captivate learners’ interest and encourage active participation. By incorporating adaptive learning technologies, AI can personalize storytelling experiences based on individual learning styles, enhancing comprehension and retention of folk tales. Furthermore, AI-powered platforms offer multimodal learning options, such as text-to-speech and interactive visualizations, making folk tales more accessible to diverse learners, including those with disabilities. Participant engagement levels were notably higher when using AI-driven storytelling applications compared to traditional methods. Learners demonstrated IDEAS, Vol. 13, No. 2, December 2025 ISSN 2338-4778 (Print) ISSN 2548-4192 (Online) 3951 increased motivation, curiosity, and willingness to engage with folk tales when presented through interactive AI-based platforms. This heightened engagement fostered deeper connections with the narratives, encouraging learners to explore cultural and moral values embedded within folk tales. Additionally, AI storytelling tools facilitated collaborative learning experiences, allowing learners to co-create and modify stories, thereby enhancing their critical thinking and creative skills. Accessibility features of AI-driven storytelling tools further contributed to their effectiveness in folk tale education. These tools provided customizable reading levels, language translation options, and speech synthesis capabilities, ensuring that folk tales were accessible to a broader audience. Learners with different linguistic backgrounds and cognitive abilities benefited from AI’s ability to adapt content according to their needs, promoting inclusivity in folk tale learning environments. The integration of AI in folk tale learning yielded significant benefits in terms of learner engagement and inclusivity. AI-driven storytelling tools not only enhanced the narrative experience but also provided frameworks for personalized learning. The adaptability of AI allowed for a more profound connection between learners and stories, catering to individual interests and learning strategies. Through real-time feedback and dynamic content generation, AI ensured that folk tales remained relevant and engaging for modern learners. However, it is essential to consider potential challenges associated with the implementation of AI in educational settings. Educators require adequate training to effectively integrate AI tools into their teaching methodologies. Additionally, concerns related to data privacy and ethical considerations in AI-generated content must be addressed to ensure responsible usage. Future research is warranted to examine the long-term effects of AI engagement in folk tale learning and to develop best practices for its integration into curricula. Despite these challenges, the transformative potential of AI in folk tale education cannot be overlooked. AI-driven tools offer unprecedented opportunities to revitalize traditional storytelling methods, making them more engaging and accessible for contemporary learners. By leveraging AI’s capabilities, educators can create enriched learning environments that preserve cultural heritage while fostering digital literacy and critical thinking skills. In conclusion, this qualitative study highlights the profound impact of AI on folk tale education, emphasizing its role in enhancing learner engagement and accessibility. By refining methodologies, incorporating detailed observational data, and ensuring rigorous qualitative analysis, this study provides a comprehensive understanding of AI’s influence on folk tale learning. As educational technologies continue to evolve, incorporating AI-driven tools can play an instrumental role in revitalizing folk tale learning and promoting cultural heritage among learners. The findings underscore the need for continued exploration and refinement of AI applications in education to maximize their potential in preserving and transmitting cultural narratives. Qhoriana Kikiariski, Hary Soedarto, Priyanto The Effectiveness of Using Artificial Intelligence in Folk Tale Learning 3952 Results The Transformative Role of Artificial Intelligence in Enhancing Folk Tale Learning 1. Introduction Folk tales are essential components of cultural heritage, serving as conduits for moral education and cultural transmission. Traditionally passed down through oral tradition, these stories have evolved over time to reflect societal values and norms. With the advent of technology, particularly AI, new avenues have emerged for enhancing the learning experience associated with folk tales. This paper details the role of AI in folk tale education, focusing on the enhancement of interactive storytelling, personalization, narrative comprehension, critical thinking, and accessibility. 2. AI-Driven Platforms for Interactive Storytelling The integration of AI into storytelling enables multifaceted interactions that traditional narratives cannot provide. Platforms equipped with AI capabilities can modify narratives in real time based on learner responses. This adaptability creates a personalized storytelling experience, fostering engagement and ensuring that content meets individual learning needs. 2.1. Personalization and Adaptive Learning Research indicates that personalized learning, facilitated by AI, enhances learner engagement and achievement. AI algorithms analyze user responses, preferences, and interaction patterns to modify the storyline dynamically. For instance, a platform might adjust the difficulty level of questions or alter story elements based on a learner's prior answers. This real-time adaptation promotes an interactive environment where learners feel more involved and invested in the narrative, subsequently enhancing their understanding and retention of story elements. In one study, 85% of participants reported increased engagement when interacting with AI-modified folk tales compared to traditional text-based formats (Zhang et al., 2020). One participant noted, "The story changed based on my choices, making me feel like I was part of the journey, not just a passive reader." Aspect Research Findings Interactivity and Personalization AI allows for real-time modification of stories based on user responses, creating a more engaging and personalized learning experience tailored to individual needs. Narrative Comprehension Learners using AI-driven platforms demonstrate a better understanding of story structure, character development, and thematic recognition. IDEAS, Vol. 13, No. 2, December 2025 ISSN 2338-4778 (Print) ISSN 2548-4192 (Online) 3953 Critical Thinking Skills AI encourages learners to make decisions that affect the narrative, fostering their ability to evaluate consequences, explore alternatives, and understand moral implications. Accessibility AI provides features such as audio descriptions, text-to- speech, and visual aids, expanding access for learners with special needs. Scaffolding Strategies AI supports step-by-step learning by offering hints, guided questions, and breaking down story components, helping learners gain deeper understanding. 2.2. Narrative Comprehension and Critical Thinking Skills The interactive nature of AI-driven storytelling has been linked to improved narrative comprehension and critical thinking skills. Studies show that learners who engage with AI-enhanced folk tale platforms exhibit higher levels of understanding regarding plot structure, character development, and thematic recognition (Zhang et al., 2020). Moreover, critical thinking is developed as learners are prompted to make decisions that affect the narrative, requiring them to evaluate consequences, explore alternative outcomes, and reflect on moral implications. A case study involving 30 students found that those who used AI-driven storytelling platforms scored 25% higher on narrative comprehension assessments compared to those who engaged with static texts (Fitzgerald et al., 2017). One student shared, "I enjoyed thinking about the choices my character had to make. It made me think more deeply about the story's message." 3. Accessibility and Inclusive Education The integration of accessibility features into AI-driven storytelling platforms greatly enhances inclusive education. AI can provide essential supports such as audio descriptions, text-to-speech options, and visual aids that cater to diverse learning needs, including those of learners with disabilities. 3.1. Audio Descriptions and Multimodal Learning Audio descriptions—narrative explanations that accompany visual elements— are a significant improvement provided by AI platforms. This inclusion allows visually impaired learners or those facing reading difficulties to engage fully with folk tales. For example, a user with a visual impairment described the feature as "a gateway to a world of stories I had never been able to fully experience before." (Fitzgerald et al., 2017). By offering multimodal learning experiences, these platforms cater to varied learning preferences, enabling a broader demographic to access and understand the narratives. Qhoriana Kikiariski, Hary Soedarto, Priyanto The Effectiveness of Using Artificial Intelligence in Folk Tale Learning 3954 3.2. Scaffolding Strategies AI can implement scaffolding strategies that provide learners with incremental steps toward understanding complex narratives. Scaffolding may involve breaking down story components, providing guided questions, or offering hints that support learners in navigating the narrative (Wood et al., 1976). In a trial involving 50 students, 78% reported that AI-generated hints helped them grasp difficult concepts in folk tales more effectively. One teacher observed, "The AI-driven prompts encouraged students to ask more questions and dive deeper into the story’s themes." Discussion The findings of this research highlight the potential of AI to revolutionize folk tale education through interactive and personalized storytelling. The inclusion of qualitative data, such as user testimonies, reinforces the positive impact AI-driven platforms have on engagement, comprehension, and accessibility. However, while AI offers significant advantages, challenges remain. Ethical concerns regarding data privacy, the risk of over-reliance on technology, and the need for culturally sensitive AI algorithms must be addressed. Future research should explore the long-term effects of AI-driven learning and how educators can best integrate AI tools into traditional teaching methods. Conclusion Enhanced narrative comprehension and critical thinking skills are notable benefits resulting from AI’s adaptive capabilities, which allow for dynamic storytelling experiences tailored to individual learners. Moreover, improvements in accessibility, such as audio descriptions and scaffolding strategies, foster inclusive educational practices that cater to diverse learner needs. As educational practices continue to evolve, the integration of AI in storytelling should be regarded not only as an innovative approach but as a necessary progression toward equitable and engaging education for all learners. Discussion The advent of AI-driven storytelling tools has the potential to enhance language acquisition by providing learners with interactive environments where they can make narrative choices that influence story outcomes. This interactive engagement fosters active participation and can enhance the learner’s understanding of language structures by allowing them to navigate varied linguistic contexts and narrative pathways. For instance, studies suggest that such tools allow students to engage deeply with the language, effectively solidifying IDEAS, Vol. 13, No. 2, December 2025 ISSN 2338-4778 (Print) ISSN 2548-4192 (Online) 3955 their grasp of language skills being practiced through manipulation of story elements and observation of the resulting consequences (Zhao, 2023; Moulieswaran & S, 2022). Moreover, the integration of Intelligent Tutoring Systems (ITS) can amplify educational experiences by optimizing instructional time. In traditional learning settings, routine assessments consume a significant portion of educational time, detracting from student-teacher interactions that facilitate rich discussions and promote critical thinking. By reducing the need for frequent assessments, AI systems can enable educators to focus on providing engaging learning experiences that emphasize language practice and cognitive development (Akavova et al., 2023; Abbas et al., 2023; Zhou, 2024). This shift creates an environment where learners can thrive and fosters deeper engagement with language concepts. AI also contributes to personalized learning experiences by adapting content complexity to align with each learner's proficiency level. This adaptability is crucial for effective language retention and mastery, ensuring that students are neither overwhelmed nor bored, thereby allowing them to progress at their own pace (Ulfa, 2023; Yang, 2024). Intelligent systems utilize data analytics and machine learning to analyze individual learning patterns, tailoring educational content accordingly. This personalized approach can cater to various learning styles, ensuring inclusivity in education, as evidenced by studies highlighting AI's capability to adjust delivery formats according to learner preferences—whether visual, auditory, or kinesthetic (Qin, 2024; Bahri et al., 2023; Awad et al., 2022). In culturally rich educational settings, AI storytelling tools can significantly enhance the exploration of folk narratives. These tools provide personalized story experiences that allow students to engage with cultural elements interactively, transitioning from traditional, static instruction to more dynamic, immersive experiences. This approach aids language development while fostering a greater appreciation and understanding of cultural diversity (Li, 2023; "PERSONALIZED ARTIFICIAL INTELLIGENCE ENHANCED LEARNING PLATFORM," 2024; Hashim et al., 2022). However, a critical challenge remains in ensuring the cultural authenticity of AI-generated narratives. AI models, often trained on predominantly Western datasets, may misrepresent or oversimplify cultural elements, leading to inaccuracies in folk tale adaptations. This raises concerns about AI bias and the need for more region-specific training datasets that accurately reflect diverse linguistic and cultural nuances. Beyond folk narratives, AI-driven storytelling tools have broader applications in language learning across various literary genres. These tools can facilitate the study of poetry, drama, and contemporary fiction, enabling learners to interact with texts in innovative ways. For example, AI can generate alternative plot developments in novels or suggest poetic structures based on linguistic inputs, thus expanding creative and analytical opportunities for learners. This flexibility highlights the transformative potential of AI in language education beyond folk narratives, making it a versatile tool in diverse literary contexts. Qhoriana Kikiariski, Hary Soedarto, Priyanto The Effectiveness of Using Artificial Intelligence in Folk Tale Learning 3956 While AI storytelling tools present numerous advantages, ethical considerations must be addressed. One pressing issue is bias in AI-generated content. AI systems may perpetuate stereotypes or exclude minority perspectives due to biased training data, which could reinforce cultural hegemony rather than promote genuine inclusivity (Saxena & Bajotra, 2024; Aggarwal et al., 2023; Alkan, 2024). Furthermore, the reliance on AI for storytelling raises concerns about the erosion of traditional oral storytelling practices. Folk tales, often passed down through generations via oral tradition, carry historical and cultural significance that AI-generated content may not fully capture. As AI-generated stories become more prevalent, there is a risk of diminishing the role of human storytellers and the authenticity of inherited narratives. Additionally, data privacy is a crucial ethical concern. AI-driven platforms often collect and analyze vast amounts of user data to tailor learning experiences. However, ensuring the security of this data is paramount to protect learners' privacy, particularly when AI applications are integrated into institutional education systems (Onesi-Ozigagun et al., 2024; Ai-jun, 2024; Jian, 2023). Transparent data policies and strict regulatory oversight are essential to mitigate risks associated with data misuse and unauthorized access. Beyond the classroom, AI-driven platforms facilitate continuous practice outside traditional educational environments. This on-demand learning aspect promotes language skill development in an integrated manner, supporting a lifelong learning paradigm where language practice becomes part of daily life (Castro et al., 2024; AlAfnan, 2024; "Integrating Artificial Intelligence in Science Teacher Education for Enhanced Pedagogical Practices," 2024). Furthermore, AI tools enhance accessibility for students with diverse needs through adaptive learning materials tailored to individual learning requirements. Features such as speech recognition, visual aids, and real-time feedback ensure that all students can engage with high-quality educational content and achieve their learning objectives, contributing to a more equitable educational landscape. In conclusion, AI-driven storytelling tools and intelligent systems are redefining language acquisition, making the process more interactive, personalized, and accessible. However, while these advancements provide significant benefits, addressing AI bias, cultural authenticity, and ethical considerations is essential for responsible implementation. By balancing technological innovation with cultural preservation and ethical responsibility, AI can truly enhance language education and foster a holistic learning experience that respects and integrates diverse linguistic traditions. Ultimately, the integration of AI in storytelling has the potential to shape engaged global citizens who are both linguistically proficient and culturally aware. IDEAS, Vol. 13, No. 2, December 2025 ISSN 2338-4778 (Print) ISSN 2548-4192 (Online) 3957 Conclusion The integration of Artificial Intelligence (AI) in folk tale learning significantly enhances student engagement, personalization, and accessibility, offering a transformative approach to education. AI-driven platforms create dynamic, adaptive storytelling experiences that are tailored to individual learners, fostering a deeper understanding of narratives while simultaneously enhancing language skills. These platforms simulate human-like comprehension of folk tales, offering real-time feedback that aids learners in navigating complex story elements and cultural nuances. 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