CAN AI SUPPORT TEACHING IN LOW-RESOURCE ENVIRONMENTS? CONCEPTUAL EXPLANATIONS

Abstract

Technical disruptions, ranging from projector failures and electricity interruptions to unstable internet connectivity, have become a challenging daily routine in many educational settings. This low-resource teaching environment severely compromises teacher motivation, instructional productivity, and student learning outcomes. This paper provides an analytical description of these systemic challenges using institutional data, highlighting the urgent need for scalable solutions to the ongoing issues hindering educational objectives. Utilizing an applied descriptive methodology, this study explores the potential of Artificial Intelligence (AI) as both a supportive instructional tool and a contingency framework to mitigate the impact of infrastructural deficits. The findings suggest that fostering teachers' digital literacy and integrating targeted AI tools can substantially enhance pedagogical performance, bridge the digital divide, and cultivate resilient learning environments despite resource constraints.