Exploring AI-Driven Conversations as Dynamic OER for Self-Directed Learners
Dorothy Joy Laubscher, Research Unit Self-Directed Learning, North-West University (South Africa)
Abstract
The integration of artificial intelligence (AI) into education is transforming how Open Educational Resources (OER) can be designed, delivered, and utilised (Bozkurt, 2023). This conceptual paper explores the potential of AI-driven conversations, such as those facilitated by ChatGPT, to function as dynamic OER that support Self-Directed Learning (SDL). Unlike traditional static resources, AI-driven dialogues offer learners personalised, interactive, and adaptive experiences that align with their unique learning needs and goals (Sajja et al., 2024). By fostering autonomy, critical thinking, and problem-solving skills, these tools provide opportunities for learners to take greater control of their educational journeys. Grounded in theoretical frameworks of SDL and Open Educational Practices (OEP), this paper examines the role of AI in addressing challenges within open learning environments, including learner engagement, inclusivity, and scalability. It proposes a conceptual model for integrating AI-driven OER into multimodal and blended learning environments, highlighting their potential to enhance the accessibility and openness of educational resources. Knowles (1975) suggests that self-directed learners actively engage in their learning process by taking initiative, assessing their learning needs, setting goals, identifying relevant resources, implementing strategies, and evaluating the outcomes. The paper also identifies the key SDL competencies that AI-driven conversations can nurture, such as goal setting, self-monitoring, and reflective practice. The discussion further addresses the ethical, pedagogical, and technical considerations associated with using AI in education. Challenges, including biases in AI outputs, data privacy concerns, and the potential for over-reliance on AI, are critically analysed. However, the paper argues that with thoughtful design and implementation, AI-driven OER can complement human-led instruction, empowering learners and educators alike. By reimagining OER as dynamic and responsive tools, this paper contributes to the discourse on the future of education. It calls for collaboration among facilitators, educational technology specialists, and policymakers to explore the full potential of AI-driven OER in fostering SDL. Through this exploration, the paper aims to provide a vision for how AI can transform open education, making it more inclusive, learner-centred, and responsive to the needs of diverse educational contexts.
Keywords |
Self-Directed Learning (SDL), Open Educational Resources (OER), Open Educational Practices (OEP) |
REFERENCES |
[1] Bozkurt, A. (2023). Generative AI, Synthetic Contents, Open Educational Resources (OER), and Open Educational Practices (OEP): A New Front in the Openness Landscape. Open Praxis, 15(3), pp. 178–184. DOI: https://doi.org/10.55982/ openpraxis.15.3.579 [2] Knowles, M. S. (1975). Self-directed learning. Association Press. [3] Sajja, R., Sermet, Y., Cikmaz, M., Cwiertny, D., & Demir, I. (2024). Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education. Information, 15(10), 596. https://doi.org/10.3390/info15100596 |