📄 Full text: arXiv:2605.04816 · local
Definition
A design framework for LLM-powered educational agents that prioritize durable learning over short-term task performance. Introduced by Khosravi et al. (2026), AI learning companions are defined as adaptive, pedagogically informed agents integrated into learning environments — distinct from both task-oriented LLMs and simple prompted tutors.The Learning-Performance Paradox
LLMs demonstrably improve task outputs (writing quality, code correctness, analysis speed), but this can create a paradox: students who produce better work with AI may learn less. This mirrors and extends the llm-fallacy-misattribution phenomenon where users misattribute AI-assisted outputs to their own competence. The framework addresses the question posed by ai-learning-transfer: do AI-assisted gains persist when the tool is removed?Three Foundations
1. Pedagogical Foundation — grounded in learning science; how students learn with AI, not just from it 2. Adaptive Foundation — AI learns about the student over time, connecting to llm-student-modeling-memory and longitudinal personalization 3. Responsible Design Foundation — transparency, accountability, inclusivity, security; aligns with ai-tutor-safety-harms harm taxonomyCase Studies
Validated across five diverse educational contexts, levels, and tool designs, revealing both promise and current limitations. The framework calls for a deliberate shift from task-optimized LLMs toward companions that foster durable understanding, metacognitive growth, and learner agency — connecting directly to self-regulated-learning and metacognition.Related Pages
- chatgpt-critical-creative-thinking-review — Systematic review: ChatGPT's dual impact on critical and creative thinking in higher education (67 studies)
- international-students-conversational-ai-adaptation — AI companion role for ongoing cultural adaptation support
- ai-agents-peer-learning-discourse — AI-agent peer learning informs design of learning companions
- self-referential-l2-writing-llm-assessment — Intra-learner focus matches prioritizing learning over performance
- critical-thinking-genai-scaffolding — Vendrell & Johnston (2026): eight design principles for scaffolding critical thinking with LLMs in higher education.
- regulating-ai-tutor-adolescent-srl — Mistral-Large GenAI tutor deployment in German schools- paratutor-parent-child-tutoring — ParaTutor
- social-robot-study-companions — Co-Creating Buildable and Open Social Robot Study Companions
- genai-performance-vs-learning — Prioritizing learning over performance