Integrating Big Data and Artificial Intelligence in Communication and Language Arts: Trends, Applications and Implications

Eke; Chigozi Ph.D; Agwasi; Favourite

doi:10.56201/ijelcs.vol.11.no7.2026.pg173.187

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Integrating Big Data and Artificial Intelligence in Communication and Language Arts: Trends, Applications and Implications

Eke, Chigozi Ph.D, Agwasi, Favourite

Abstract

This study was an examination of integrating big data artificial intelligence in communication and language arts: trends, applications and implications. The technological determinism theory was anchored in this study. This study adopts the case study methodology to enable an in-depth exploration of how Big Data and Artificial Intelligence are integrated into communication and language arts within selected academic institutions in Nigeria. The population for the study comprises academic staff and final-year students in the Departments of Mass Communication, English and Literary Studies, and Linguistics across three Nigerian universities; University of Lagos, University of Nigeria Nsukka, and Rivers State University with a combined population of approximately 4,200 individuals (based on institutional records as of 2024). These departments were chosen because they actively engage with communication, media, and language instruction, making them relevant to the study’s objectives. A sample size of 30 participants (10 from each university, including lecturers and students) was selected using purposive sampling. In-depth interviews and document analysis (such as syllabuses, project topics, and institutional ICT policies) were employed as the primary methods of data collection. Data were analysed thematically using content analysis, allowing for the identification of patterns, themes, and contextual interpretations of the participants’ experiences and institutional practices. Findings revealed that AI and Big Data tools such as Grammarly, Tableau, and Google Trends are actively applied in communication and language arts departments for media research, academic writing, and linguistic analysis. These technologies are gradually being integrated into university curricula through courses like Media Analytics and Digital Communication, although implementation varies by institution. AI applications have expanded beyond instruction to administrative support, including automated email responses and performance tracking tools. There is inconsistency in the level of integration across institutions, with some departments lacking structured policies or updated syllabuses to support AI and Big Data usage. The study recommended that, the National Universities Commission and university senates should mandate the integration of AI and Big Data tools into communication and language arts curricula through structured course design and updated academic policies

Keywords

Big DataArtificial IntelligenceCommunicationLanguage ArtsTrendsApplicationsImplications

References

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Integrating Big Data and Artificial Intelligence in Communication and Language Arts: Trends, Applications and Implications

Abstract

Keywords

References

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