HUMAN-IN-THE-LOOP COMMUNICATION: COMMUNICATION AS EVIDENCE OF UNDERSTANDING
IN AI-SUPPORTED HIGHER
Emmanuel E. Abruquah*
Faculty of Pedagogical Innovations and Culture, Department of Languages and Communication, Tampere University of Applied Sci-ences, Tampere, Finland
∗ Correspondence: emmanuel.abruquah@tuni.fi
DOI : 10.66538/DH.2026.2.1.
Abstract
The growing presence of artificial intelligence (AI) in higher education is changing how students learn, write, and demonstrate their knowledge. As generative AI tools become increasingly capable of producing coherent academic texts, educators face a fundamental question: how can student understanding be meaningfully assessed when written outputs may no longer fully reflect individual learning? This challenge calls for renewed attention to the role of communication in making learning visible.
This article introduces Human-in-the-Loop Communication as a pedagogical framework that repositions communication as a mecha-nism of learning validation in AI-supported higher education. The framework conceptualises learning as a cyclical process involving three interconnected dimensions: human foundations, AI-supported practice, and human validation.
Within this process, AI serves as a learning partner that supports drafting, structuring, rehearsal, and feedback, while responsibility for interpretation, judgement, and meaning-making remains with learners and educators.
The article draws on pedagogical practices from applied sciences and international business education to illustrate how communica-tion-centred assessment formats, including presentations, seminars, peer dialogue, questioning, and opponent-based feedback, can reveal students’ reasoning, adaptability, and conceptual understanding beyond written production alone. These communicative encounters provide opportunities for students to explain, defend, and apply their knowledge in ways that AI cannot fully replicate.
This work contributes to current discussions on AI in education by offering a practical and transferable framework for redesigning learning and assessment in higher education. It argues that the future of education lies not in resisting AI, but in strengthening the human dimensions of learning through communication, critical reflection, and meaningful interaction.
Keywords: Human-in-the-Loop Communication; Generative AI; Higher Education; Assessment; Learning Validation; Communication Pedagogy; Artificial Intelligence in Education; Authentic Assessment