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All Journal Jurnal Ilmiah Mandala Education (JIME) Blockchain, Artificial Intelligence, and Future Research
Rajkumar, S.R.
Unknown Affiliation
Arts Humanities Computer Science & IT Education Law, Crime, Criminology & Criminal Justice Social Sciences

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Leveraging Social Media Platforms for Communicative Competence Development in English as a Foreign Language Fitriani, Rani Siti; Rajkumar, S.R.; Nabila, Riva; Arif, Muhamad; Rafli, Muhammad
Jurnal Ilmiah Mandala Education (JIME) Vol 11, No 3 (2025): Jurnal Ilmiah Mandala Education (Agustus)
Publisher : Lembaga Penelitian dan Pendidikan Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jime.v11i3.9288

Abstract

The integration of social media stages into English as a Foreign Language  (EFL) instruction has developed as a energetic approach to improving learners’ communicative competence in bona fide and intuitively computerized situations. This think about investigates the educational potential of social media apparatuses such as Facebook, WhatsApp, Instagram, and YouTube in supporting the improvement of phonetic, sociolinguistic, and key competencies among EFL learners. Drawing upon later observational thinks about and hypothetical systems, the investigate investigations how social media encourages real-time communication, collaborative learning, and introduction to different social and etymological inputs. Discoveries demonstrate that when deliberately coordinates, social media improves learners’ inspiration, dialect hone openings, and certainty in utilizing English for significant interaction past the classroom. Be that as it may, challenges such as advanced diversion, dialect exactness concerns, and educator readiness were moreover recognized. The ponder concludes by proposing academic procedures for compelling social media integration to boost communicative competence improvement whereas tending to potential confinements. These experiences contribute to planning inventive, learner-centred EFL educational module adjusted with modern advanced proficiency and communicative instructing standards.
Will Artificial Intelligence Reshape the Global Workforce by 2030? A Cross-Sectoral Analysis of Job Displacement and Transformation Chhibber, Sugandha; Rajkumar, S.R.; Dassanayake, Sandun
Blockchain, Artificial Intelligence, and Future Research Vol. 1 No. 1 (2025): May 2025
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/bafr.v1i1.178

Abstract

The rapid advancement of artificial intelligence (AI) is transforming the global labor market, presenting both opportunities and challenges. This study investigates the extent of AI-driven job displacement and task transformation across industries, highlighting sector-specific vulnerabilities and workforce perceptions. Using secondary data from Statista’s global surveys (2022–2023), involving 22,816 employees, 1,684 business leaders, and 803 corporations, the study employs descriptive statistical analysis to identify patterns of job disruption and skill adaptation. The findings reveal that AI primarily reshapes job functions rather than eliminating entire occupations, with 57% of respondents reporting task augmentation and 36% expressing concern about job loss. Routine-based sectors, such as manufacturing and customer service, face higher displacement risks, while knowledge-based professions, including healthcare, education, and creative industries, experience AI as a complementary tool. Additionally, disparities in AI adoption are evident between large corporations and small-to-medium enterprises (SMEs), often due to resource limitations and varying digital readiness. The study concludes that successful AI integration hinges on proactive strategies, including continuous workforce reskilling, adaptive education systems, and ethical AI deployment. Policymakers, industry leaders, and educational institutions must collaborate to ensure an inclusive transition, prioritizing digital literacy and skills development. Future research should explore regional variations, firm-level case studies, and the long-term socio-economic impacts of AI adoption. Ultimately, this study underscores the importance of balancing technological advancement with workforce resilience to foster sustainable economic growth in an AI-driven era.
Co-Authors Chhibber, Sugandha Dassanayake, Sandun Muhamad Arif Nabila, Riva Rafli, Muhammad Siti Fitriani, Rani