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All Journal Proceeding of the International Conference on Global Education and Learning Proceeding of The International Conference on Social Sciences and Humanities Innovation
Aisyah Aulia Putri
Universitas Hasanuddin
Humanities Education Social Sciences

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Virtual Teaching Assistants: The Role of AI Chatbots in Student Support Services Muhammad Nurahmad; Aisyah Aulia Putri; Nurasia Natsir
Proceeding of the International Conference on Global Education and Learning Vol. 2 No. 2 (2025): December : Proceeding of the International Conference on Global Education and L
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icgel.v2i2.200

Abstract

The integration of artificial intelligence chatbots as virtual teaching assistants (VTAs) represents a transformative shift in student support services within higher education. This study investigates the implementation, effectiveness, and impact of AI-powered chatbots in providing academic support, administrative assistance, and personalized guidance to university students. Employing a longitudinal mixed-methods approach over 18 months, this research analyzed data from 2,347 students across 15 universities that deployed VTA systems, examining interaction patterns, student satisfaction, learning outcomes, and cost-effectiveness. Quantitative analysis of 487,392 chatbot interactions revealed that VTAs successfully handled 78.4% of student queries without human intervention, with response times averaging 3.2 seconds compared to 4.7 hours for traditional support channels. Qualitative findings from focus groups and interviews highlighted students' appreciation for 24/7 availability, immediate responses, and non-judgmental interactions, while also revealing concerns about empathy limitations, complex query handling, and the desire for human connection in critical situations. The study demonstrates that VTAs significantly improve support service accessibility and efficiency while reducing operational costs by an average of 43%. However, optimal implementation requires careful integration with human support staff, continuous training of AI systems, and attention to equity issues in digital access. This research contributes to understanding how AI can augment rather than replace human educators, offering evidence-based recommendations for implementing VTA systems that enhance student success while maintaining the human elements essential to quality education.
Public Perception of Local Dialects and Its Implications for Cultural Identity Aisyah Aulia Putri
Proceeding of the International Conference on Social Sciences and Humanities Innovation Vol. 1 No. 1 (2024): June : Proceeding of the International Conference on Social Sciences and Humani
Publisher : Asosiasi Peneliti dan Pengajar Ilmu Sosial Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/icsshi.v1i1.41

Abstract

This study investigates the public perception of local dialects and their implications for cultural identity. Local dialects serve as vital markers of regional identity and heritage, yet they often face stigma and marginalization in favor of standardized languages. Through a mixed-methods approach, including surveys and in-depth interviews, the research examines how individuals perceive various local dialects in terms of prestige, authenticity, and social value. The findings reveal a nuanced landscape of attitudes, where some respondents express pride in their local dialects as symbols of cultural heritage, while others associate them with negative stereotypes, which impacts their willingness to use these dialects in public settings. The study highlights the complex relationship between language, identity, and social dynamics, suggesting that fostering positive perceptions of local dialects can enhance cultural pride and community cohesion. Additionally, the research discusses the role of education and media in shaping perceptions of local dialects and emphasizes the need for initiatives that promote linguistic diversity. Ultimately, this research underscores the importance of recognizing and valuing linguistic diversity as a crucial component of cultural identity in an increasingly globalized world, advocating for the preservation and celebration of local dialects to strengthen community ties and cultural heritage.
Integrating Artificial Intelligence In Language Acquisition: A Comparative Study Of Adaptive Learning Platforms In Indonesian Efl Classrooms Aisyah Aulia Putri; Nurasia Natsir
Proceeding of the International Conference on Social Sciences and Humanities Innovation Vol. 2 No. 1 (2025): June : Proceeding of the International Conference on Social Sciences and Humani
Publisher : Asosiasi Peneliti dan Pengajar Ilmu Sosial Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/icsshi.v2i1.58

Abstract

This study investigates the implementation and effectiveness of artificial intelligence-driven adaptive learning platforms in English as a Foreign Language (EFL) classrooms across urban and rural Indonesian educational settings. Through a mixed-methods approach involving 247 students and 12 teachers from eight institutions, this research comparatively analyzes three prominent AI language learning platforms: LinguaLearn AI, AdaptEd English, and AI Tutor Pro. The findings reveal significant differences in learning outcomes, with AI-enhanced platforms demonstrating a 27% improvement in language proficiency compared to traditional methods. However, implementation challenges including digital literacy barriers, internet connectivity issues, and cultural adaptation requirements were identified, particularly in rural contexts. The study proposes a contextually responsive framework for integrating AI language learning technologies in developing EFL environments, contributing to the growing discourse on educational technology in linguistically diverse settings. This research highlights the potential of AI to personalize language acquisition while emphasizing the necessity of culturally and infrastructurally appropriate implementation strategies.
Co-Authors Muhammad Nurahmad Nurasia Natsir Nurasia Natsir