Towards Personalized Learning: Leveraging AI for Learner Autonomy in Higher Education
Anissa Cheriguene, Ecole Normale Supérieure (ENS) (Algeria)
Abstract
This research study investigates the potential of leveraging artificial intelligence (AI) to foster learner autonomy in higher education, with a focus on personalized learning. The research problem addressed in this study is the need to enhance learner autonomy in traditional higher education in Algeria where personalized attention and tailored instruction are often limited. The objective is to explore how AI can be utilized as a research instrument to empower learners and promote self-directed learning experiences. The research employs a mixed-methods approach, combining qualitative and quantitative data collection methods. Initially, a literature review is conducted to establish a theoretical foundation on the concepts of learner autonomy and personalized learning, as well as the applications of AI in education. Additionally, interviews and surveys are conducted with educators, students, and AI experts to gain insights into their perspectives on the potential benefits, challenges, and ethical considerations associated with leveraging AI for learner autonomy. The findings of the study indicate that AI has the potential to facilitate personalized learning experiences by providing adaptive and tailored instructional content, personalized feedback, and intelligent tutoring systems. AI-powered tools and platforms can support learners in setting their goals, tracking progress, and accessing relevant resources based on their individual needs and preferences. However, concerns regarding data privacy, algorithmic bias, and the role of human instructors in the AI-enabled learning process also emerge as significant considerations. Overall, this research study highlights the importance of integrating AI technologies into higher education in Algeria to promote learner autonomy. The research findings contribute to the existing body of knowledge by shedding light on the opportunities and challenges associated with the use of AI in fostering personalized learning environments. The implications of this study can guide educational institutions and policymakers in effectively harnessing the potential of AI to enhance learner autonomy and improve educational outcomes in higher education settings in the Algerian context.
Keywords |
Artificial Intelligence (AI), autonomy, personalized learning, higher education |
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