Date
Publisher
arXiv
In an era increasingly shaped by decentralized knowledge ecosystems and pervasive AI technologies, fostering sustainable learner agency has become a critical educational imperative. This study introduces a novel conceptual framework integrating Generative Artificial Intelligence and Learning Analytics to cultivate Self-Directed Growth, a dynamic competency that enables learners to iteratively drive their own developmental pathways across diverse this http URL upon critical gaps in current research on Self Directed Learning and AI-mediated education, the proposed Aspire to Potentials for Learners (A2PL) model reconceptualizes the interplay of learner aspirations, complex thinking, and summative self-assessment within GAI supported this http URL implications for future intervention design and learning analytics applications are discussed, positioning Self-Directed Growth as a pivotal axis for developing equitable, adaptive, and sustainable learning systems in the digital era.
Study at a glance
- Question: How can generative AI and learning analytics help students guide their own growth and learning?
- Setting and data: Not stated in the abstract
- Method: Conceptual framework development
Why it matters
With pervasive AI shaping modern education, fostering sustainable learner agency is a critical imperative. However, critical gaps persist in current research on Self-Directed Learning and AI-mediated education.
Key findings
- Integrating generative AI and learning analytics helps foster self-directed growth, enabling learners to actively guide their own ongoing development.
- The Aspire to Potentials for Learners model connects learner aspirations, complex thinking, and self-evaluation within AI-supported learning environments.
- Self-directed growth serves as a key foundation for establishing equitable, adaptive, and sustainable learning systems in the digital era.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who is the user?
Who age?
Why use AI?
Study design
