This preprint addresses a fundamental, unresolved question in modern educational technology: the contrast between the enthusiastic anticipation of LLMs' potential benefits and the thorough scrutiny of the dangers posed by AI-created "hallucinations." The author argues that AI failures in instructional settings are not merely software bugs, but a linguo-pragmatic issue. When users interact with a probabilistic machine using casual, ambiguous natural language, the AI's algorithm dilutes the semantic focus, leading to logical errors. However, within academic problem-solving, natural language transforms into a rigorous, professional sub-language that demands strict structural control. This work is highly relevant for teachers, educational technologists, applied linguists, and curriculum designers looking for a structured, pedagogically secure, and cost-free methodology to safely integrate Generative AI into their disciplines. Fields: Artificial Intelligence in Education, Applied Linguistics, Cognitive Science, Linguistic Pragmatics, Instructional Design.
Tetiana Andrusenko· Zenodo (CERN European Organi...· 0 citations
This preprint describes a methodological framework IPRO-Dialogue (Integrated Pragmatic Regulation and Ontology of Dialogue) for integrating generative Artificial Intelligence into modern lesson planning and curriculum design. Moving away from passive use of AI, this article presents a structured methodology for collaborative "human-AI" design based on classic technologies for developing computer learning environments (1981–1994). The guide provides educators with a reliable, code-free "linguistic grounding" technique. As an example, this paper describes the creation of a thesaurus on the topic of "Ancient Egypt" for middle school students. By deploying a strictly controlled, 60-term educational thesaurus and limiting AI text generation to absolute zero (Temperature = 0), teachers can mitigate AI "hallucinations" and frame a secure, personalized Socratic learning environment for middle school students. Key practical assets included in this document: 1) Step-by-step technology for conceptual term extraction and ontological mapping; 2) Universal meta-prompt templates and complete system instructions for an AI expert-validator; 3) The Prompt Architecture Diagnostic Checklist (Identity, Boundary, and Safety dimensions) for stress-testing prompts before classroom use; 4) Text-based Mermaid.js visualization protocols and tabular data export formats (CSV/XLSX) for instant educational technology integration; 5) A ready-to-use registration template for securing teacher intellectual property via micro-publications with DOI assignments. This manual serves as an actionable blueprint for instructional designers, K-12 teachers, and educational technology researchers striving to maintain pedagogical control over generative tools. Keywords: IPRO-Dialogue, Educational Thesaurus, Conceptual Learning, Prompt Engineering, Educational Technology, Human-AI Co-creation in Curriculum Design, Teacher Agency.
Tetiana Andrusenko· Zenodo (CERN European Organi...· 0 citations
This preprint addresses a fundamental, unresolved question in modern educational technology: the contrast between the enthusiastic anticipation of LLMs' potential benefits and the thorough scrutiny of the dangers posed by AI-created "hallucinations." The author argues that AI failures in instructional settings are not merely software bugs, but a linguo-pragmatic issue. When users interact with a probabilistic machine using casual, ambiguous natural language, the AI's algorithm dilutes the semantic focus, leading to logical errors. However, within academic problem-solving, natural language transforms into a rigorous, professional sub-language that demands strict structural control. This work is highly relevant for teachers, educational technologists, applied linguists, and curriculum designers looking for a structured, pedagogically secure, and cost-free methodology to safely integrate Generative AI into their disciplines. Fields: Artificial Intelligence in Education, Applied Linguistics, Cognitive Science, Linguistic Pragmatics, Instructional Design.
Tetiana Andrusenko· Zenodo (CERN European Organi...· 0 citations
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