Language learning is a multifaceted process that involves a complex interplay of cognitive, social and cultural factors. This complexity is particularly pronounced in the context of Less Commonly Taught Languages (LCTLs), where traditional pedagogical approaches often fall short. This thesis explores the integration of culturally informed approaches with advanced digital technologies to enhance the teaching and learning of LCTLs, focusing specifically on the Irish language as a case study. The research presented here develops a Computer-Assisted Language Learning (CALL) system that leverages Digital Game-Based Language Learning (DGBLL) and Virtual Reality (VR). This system incorporates Artificial Intelligence (AI) techniques such as Natural Language Processing, Text-to-Image generation and Text-to-Speech synthesis to create immersive and culturally relevant learning environments. The study’s primary goal is to investigate how these technologies can be employed to engage learners more effectively and support LCTLs. Empirical evaluations conducted in primary school classrooms revealed that the CALL system enhances student engagement, motivation and language acquisition, as evidenced by positive feedback from both students and teachers. The research also highlights the adaptability of the developed tools for other low-resource and indigenous languages and their potential to be tailored to specific learner needs, including those with dyslexia. The findings of this study underscore the transformative potential of combining culturally informed approaches with cutting-edge technologies to address the unique challenges of language learning in LCTL contexts. By advancing the field of CALL, this research contributes insights into the preservation and revitalisation of indigenous languages.