AIECS 2026Belgrade · 14–15 November 2026Admin login
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Conference contributor

Walid Allioua

University of Jijel

Biography

Walid Allioua is a PhD candidate in Teaching English as a Foreign Language at the University of Jijel, Algeria. His research focuses on artificial intelligence in language education, digital learning, and the relationship between emerging technologies and English language teaching practices.

Conference contributions 1

CUSTOM AI TOOLS IN EDUCATION:

The CRAFT methodological framework for responsible design and reporting

Walid Allioua1; Ahmed Chaouki Hoadjli2

Recent developments in generative artificial intelligence (GenAI) have made it increasingly possible for educators and researchers to build customized AI tools without advanced programming knowledge. Through natural-language configuration, users can now define the role of an AI assistant, set interaction rules, restrict inappropriate outputs, provide knowledge sources, and shape task-specific learning support. This growing accessibility creates important opportunities for education, but it also raises methodological and ethical questions. If custom AI tools are used in teaching, assessment, or educational research, their design choices must be made visible, tested systematically, and reported transparently. This paper addresses the following question: how can custom AI tools in education be designed and documented in a responsible and methodologically rigorous way? To answer this question, the study proposes the CRAFT methodological framework, which organizes AI tool development into five connected stages: Conceptual Design, Realization, Assessment, Field Testing, and Transparent Evaluation and Reporting. The framework is developed through a conceptual synthesis of literature on GenAI in education, design-based research, educational methodology, and AI-mediated learning environments. The expected contribution is a practical and platform-independent structure that helps researchers and educators move beyond ad hoc AI use toward more transparent, comparable, and ethically responsible practice. By framing custom AI tools as educational and research instruments rather than neutral technologies, CRAFT supports responsible integration of GenAI into contemporary educational contexts.