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Language as an Interface - Interface Design in times of AI and MCPs/Agentic AI
Background and Motivation
In today's increasingly diverse educational landscape, a significant number of elementary school children come from multicultural backgrounds and speak a different native language at home than the language of instruction used in school. This linguistic duality presents both opportunities and challenges in their educational journey. While bilingualism offers cognitive advantages, the transition between home language and school language can create barriers to learning, affecting academic performance, social integration, and overall confidence.
Research Focus
⦁ I want to conduct research to investigate how Agentic AI can serve as a transformative educational tool for children during their formative years of learning.
⦁ Specifically, I aim to: Explore the effectiveness of AI-driven translation support in bridging the gap between a child's native language and the language of instruction
⦁ Identify the critical importance of providing multilingual children with accessible, personalized learning pathways that honor their linguistic heritage while facilitating integration
⦁ Understand why early intervention through technology-assisted translation is crucial for long-term academic success and self-esteem
My research will focus on developing and testing a system that utilizes individualized APIs capable of automatically connecting with and adapting to:
Cultural Background: The system will recognize and incorporate culturally relevant contexts, examples, and references that resonate with each student's heritage, making learning more relatable and meaningful
Social Impact: The AI will consider the social dynamics of multilingualism, including peer interactions, family engagement, and community connections, to create a supportive learning environment
Language Proficiency Level: Through continuous assessment, the system will automatically adjust to each student's current language abilities in both their native tongue and the school's language of instruction, providing appropriately challenging material
Innovation
The Agentic AI system I envision would:
⦁ Dynamically assess each child's language needs in real-time
⦁ Provide scaffolded support that gradually reduces reliance on native language translation as proficiency grows
⦁ Create personalized learning workflows that adapt to individual learning styles and pace
⦁ Integrate seamlessly with existing curriculum requirements while honoring linguistic diversity
⦁ Empower teachers with insights into each student's progress and specific challenges
Impact
This research has the potential to:
⦁ Reduce educational inequality for multilingual children
⦁ Accelerate language acquisition without sacrificing comprehension of core subjects
⦁ Build confidence and positive self-identity in young learners
⦁ Create scalable, cost-effective solutions for schools with diverse student populations
⦁ Inform policy decisions regarding technology integration in multilingual education
By giving multilingual children opportunities to learn more easily through intelligent, culturally-sensitive translation support, we can transform what is often seen as a disadvantage into a celebrated strength. Early education is a critical window where intervention can have lasting effects, and Agentic AI offers unprecedented possibilities for personalized, equitable learning experiences.
1. Personalized Language Assistant
⦁ Automatically detects which language the child is speaking
⦁ Offers explanations in parallel in native language and German
⦁ Adapts difficulty level individually (automatically)
2. Adaptive Vocabulary Training
⦁ Connects with school curriculum APIs
⦁ Creates bilingual exercises based on current classroom material
⦁ Uses repetition algorithms
3. Homework Help
⦁ Reads assignment instructions in German
⦁ Explains in native language when needed
⦁ Provides step-by-step guidance without direct solutions
4. Cultural Context
⦁ learning with the child's cultural background
⦁ Uses examples from both cultural contexts
⦁ The problem of multilingualism in education: How can Agentic AI build a specific learning workflow for translation?
⦁ How Agentic AI should help children with multilingualism in elementary schools?
⦁ Leveraging Agentic AI to support multilingual children in Elementary Education
⦁ AI-Based Teaching Materials for Deep Learning: An Analysis of Usage by Elementary School Teachers, published 2025-05-28 Link: https://journal2.uad.ac.id/index.php/ijemi/article/view/12991
accessed 24 Nov 2025
⦁ Exploratory Study on Designing Elementary Moral Education Classes Using Artificial Intelligence (AI), published 2025.09, 87 - 111 (25 pages) DOI : 10.18230/tjye.2025.33.5.87, Link: https://scholar.kyobobook.co.kr/article/detail/4010071610178
accessed 24 Nov 2025
⦁ Educational Implications of a New Rhetorical Approach in Multicultural Curriculum Design: Focusing on Burke’s Theory of Identification, published 2025.09 17, 35 (19 pages), DOI : 10.18230/tjye.2025.33.5.17 Link: https://scholar.kyobobook.co.kr/article/detail/4010071610130
accessed 24 Nov 2025
⦁ Impact of AIoT education program on digital and AI literacy of elementary school students, published 09 August 2024, Volume 30, pages 107–130 Link: https://link.springer.com/article/10.1007/s10639-024-12758-0
accessed 24 Nov 2025
⦁ How China Is Using Artificial Intelligence in Classrooms | WSJ
Link: https://www.youtube.com/watch?v=JMLsHI8aV0g
accessed 25 Nov 2025
⦁ Top 5 AI Tools for Teachers in 2025
Link: https://www.youtube.com/watch?v=ZrYHJHTbfkQ
accessed 25 Nov 2025
⦁ Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support, published July 2025, DOI: 10.48550/arXiv.2507.00535, LicenseCC BY 4.0
Link: https://arxiv.org/pdf/2507.00535 / https://arxiv.org/abs/2507.00535
accessed 25 Nov 2025
⦁ Navigating the impact of generative AI in English language education, published July 2025, Forum for Education Studies 3(3):2143, DOI: 10.59400/fes2143, LicenseCC BY 4.0, Yanling Cai
Link: https://ojs.acad-pub.com/index.php/FES/article/view/2143/1542
accessed 25 Nov 2025
Ein Projekt von
Valerie Anna Martina Kemter
Fachgruppe
InterfacedesignArt des Projekts
Studienarbeit im zweiten Studienabschnitt
Betreuer_in
Prof. Reto Wettach
Zugehöriger Workspace
Language as an Interface - Interface Design in times of AI and MCPs/Agentic AIEntstehungszeitraum
Wintersemester 2025 / 2026