Recceing Learner Objectives in Educational AI Adoption through Structural Equation Modeling
Recceing Learner Objectives in Educational AI Adoption through Structural Equation Modeling
Written by:
Dr. Cristina Teresa Lim
Department of Decision Sciences and Innovation
Ramon V. Del Rosario College of Business
DLSU-Manila
Introduction
The integration of AI into education ushers in a transformative power into students’ learning process, offering new tools and methodologies, yet raising questions about student readiness (Marr, 2023). AI’s journey from science literature to routine reality has revolutionized various industries, including education, healthcare, and finance (Marr, 2023). From figurative reasoning to deep learning, AI’s evolution has reshaped technology and garnered massive user engagement (Haenlein & Kaplan, 2019; Anu & Ansah, 2023; Hu, 2023).
In the Philippines, the integration of artificial intelligence into education has been gradually gaining traction, with higher education institutions integrating it as a key resource to enrich learning experiences (Lee & Koh, 2020). This aligns with the country’s broader commitment to achieving Sustainable Development Goal 4 (SDG 4): Quality Education, which aims to ensure inclusive and equitable education and promote lifelong learning opportunities for all. Initiatives such as the National AI Roadmap and the establishment of the National Centre for AI Research (NCAIR) demonstrate the government’s intent to future-proof education through innovation (Estrellado, 2023).
Despite these efforts, the Philippine education system still exhibits a conservative approach to learning, highlighted by a World Economic Forum report ranking the country low in digital skills readiness (Estrellado, 2023). Addressing this gap is critical to realizing SDG 4 and requires not only the enhancement of digital literacy and skills but also the modernization of regulatory and institutional frameworks to fully harness the benefits of the digital economy.
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