Phygital Practices and Policy Gaps: Future-Proofing English Language Teaching in the Philippines
DOI:
https://doi.org/10.59175/pijed.v5i1.886Keywords:
Artificial Intelligence, Future-Proofing English Language Teaching, Phygital learning, Post-Pandemic Language Teaching, TPACK FrameworkAbstract
The field of English Language Teaching (ELT) is currently undergoing a significant shift driven by post-pandemic requirements and the rapid evolution of generative Artificial Intelligence. This qualitative case study explored the transformative teaching practices of eight secondary English teachers in the Davao Region, Philippines, focusing on how these methods contribute to future-proofing language education. Data were gathered through in-depth interviews and analyzed using the dual lenses of the Technological Pedagogical Content Knowledge (TPACK) and the Cambridge Sustainability Framework. The findings reveal that educators have adopted ELT teaching strategies, including “phygital” techniques like AI-augmented scaffolding, flipped classrooms via accessible social media, and collaborative digital projects. These practices effectively address human-centered challenges such as student disengagement and teacher workload. However, the study identifies a critical “policy-practice gap,” where individual innovation is hindered by infrastructure deficits, shared bandwidth crises, and an absence of clear national guidelines on AI ethics. The research concludes that while teachers demonstrate high pedagogical intent, the long-term sustainability of these practices depends on institutional “administrative flexibility,” ethical AI policies, and a shift toward prioritizing teacher wellbeing. Ultimately, technology serves as the infrastructure for modern ELT, but its successful output is measured by the development of resilient, global citizens.
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