Innovative Approaches in ESP: Trilingual Contexts & AI-Driven Tools
Institution: IUHD
Pathway 1: Teaching & Materials Innovation
Lead: Maya Orazova
Target group: Undergraduate students in Law, International Relations and World Politics
Focus: Teaching legal, diplomatic and political terminology through trilingual contexts and AI-supported tools.
Mid-Project Review
This report provides an overview of the project’s progress to date (end of October 2026), revisiting its original aims and objectives, summarising the key points discussed during the mid-project review, and outlining the next steps. It also includes photographs documenting the activities and collaboration undertaken by the project team.
Reflect on the progress you have made in implementing your mini-project so far. Consider your original aims, the activities you have carried out, the outcomes achieved, and the challenges you have encountered. Support your reflections with specific examples or evidence wherever possible. If some activities are still in progress, explain what you have achieved to date, what you have learned, and what your next steps will be. Focus on progress, impact, lessons learned, and priorities for further development, rather than simply describing the activities you have completed.
- What progress have you made in developing or implementing trilingual approaches to teaching legal, diplomatic and political terminology?
- Which AI-driven tools or activities have you tried, and what have you learned from using them with students?
- How have students responded to learning specialised terminology across three languages, and what changes have you observed in their engagement or understanding?
- What difficulties have you encountered when integrating AI tools and trilingual approaches, and how have you addressed them?
- What have you learned about the accuracy, reliability and pedagogical value of AI-generated explanations, translations and learning materials?
- What evidence do you have of students’ progress in understanding or using specialised terminology?
- Which approaches would you retain, adapt or develop further, and what are your next steps?
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Implementation Progress Report
1. Progress in the Development and Implementation of Trilingual Approaches
Significant progress has been made in establishing a structured trilingual methodology in international relations and world politics. Comprehensive comparative Turkmen-English-Russian glossaries for basic terminology have been developed, and authentic parallel reading materials have been systematically integrated into daily lessons to highlight stylistic and syntactic differences between the languages.2. AI-Based Tools, Activities, and Key Pedagogical Findings
Generative AI tools were integrated into core learning activities, yielding clear pedagogical benefits. AI is used to extract specialized terminology from authentic international agreements, accelerating pre-reading and providing immediate context. Ai is used to adapt different level tasks. Furthermore, AI creates dynamic bilateral negotiation scenarios and interactive press briefings, helping students develop real-time oral communication skills, situational adaptability, and confidence in public speaking.3. Student Response, Engagement, and Conceptual Understanding
The integration of trilingual frameworks resulted in a noticeable shift in student engagement. Students shifted from passive, rote memorization to precise semantic understanding. Furthermore, students started to actively participate in class debates, Model UN simulations, and collaborative discussions.4. Integration Challenges and Implemented Solutions
The integration of AI and trilingual methodologies presented a number of challenges requiring targeted solutions. First, the AI models often missed local diplomatic nuances and produced inaccurate translations into Turkmen. To address this, editing tasks were implemented, in which students checked the AI’s output against official texts. Second,, assessment was done toward real-time role-playing exercises within the Model UN, oral defenses, and peer-reviewed presentations.5. Accuracy, Reliability, and Pedagogical Value of AI Outputs
While the generative AI is highly accurate in basic structural analysis and the use of common vocabulary, its reliability varies depending on localized Turkmen terminology and the nuances of concepts.6. Evidence of Student Progress
Student progress is demonstrated by noticeable improvements in the accuracy of terminology and style in written tasks, essays, public speaking. Students also demonstrate improved fluency, vocabulary accuracy, and diplomatic tone during Model UN role-plays, mock negotiation sessions, and professional interview competitions.7. Approaches to Retention, Adaptation, and Next Steps
Going forward, I will retain effective methodologies such as authentic materials, Model UN simulations, and AI-assisted tasks. I will adapt and refine specialized assignment templates and supporting materials tailored to the unique language requirements of students majoring in international relations.
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