Date
Publisher
arXiv
Personalized learning (PL) aspires to provide an alternative to the one-size-fits-all approach in education. Technology-based PL solutions have shown notable effectiveness in enhancing learning performance. However, their alignment with the broader goals of modern education is inconsistent across technologies and research areas. In this paper, we examine the characteristics of AI-driven PL solutions in light of the OECD Learning Compass 2030 goals. Our analysis indicates a gap between the objectives of modern education and the current direction of PL. We identify areas where most present-day PL technologies could better embrace essential elements of contemporary education, such as collaboration, cognitive engagement, and the development of general competencies. While the present PL solutions are instrumental in aiding learning processes, the PL envisioned by educational experts extends beyond simple technological tools and requires a holistic change in the educational system. Finally, we explore the potential of large language models, such as ChatGPT, and propose a hybrid model that blends artificial intelligence with a collaborative, teacher-facilitated approach to personalized learning.
Study at a glance
- Question: How well do AI-driven personalized learning tools align with modern educational goals?
- Setting and data: Not stated in the abstract
- Method: Analysis of AI-driven personalized learning tools against modern educational framework goals
Why it matters
While technology-based personalized learning enhances learning performance, its alignment with the broader goals of modern education is inconsistent. There is a gap between the objectives of modern education and the current direction of personalized learning.
Key findings
- Technology-based personalized learning tools improve student performance, but a notable gap remains between current tools and broader modern educational goals.
- Most present-day personalized learning technologies fall short in fostering student collaboration, deep cognitive engagement, and the development of general competencies.
- Personalized learning as envisioned by educational experts extends beyond simple digital tools, requiring comprehensive, system-wide educational change.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Why use AI?
Study design
