Artificial Intelligence Applications in Educational Learning and Assessment

Beschreibung

This volume captures a pivotal moment in education: the emergence of AI as both a transformative tool and a significant disruptor. AI has become deeply embedded within classrooms, examinations, tutoring platforms, and policymaking. This volume adopts an interdisciplinary approach, integrating psychometrics, cognitive science, classroom practice, AI engineering, and ethics to explore the impact of AI affordances. It examines how we define fairness, creativity, and equity in an AI-driven landscape, addressing questions of critical importance to researchers, policymakers, and practitioners alike. 
“This volume, edited by Alina von Davier and Duanli Yan, makes a major contribution because it addresses the developments in AI in education and human learning with breadth, rigor, and conceptual seriousness. The topic is expansive, the implications are substantial, and the field is moving quickly. Few edited collections could do justice to that combination of urgency and complexity. This volume manages to do so with impressive breadth and coherence. The volume brings together an outstanding group of authors across psychometrics, cognitive science, learning sciences, classroom practice, language assessment, and artificial intelligence. The result is a collection that captures the complexity of the present moment while offering a clear account of how AI is reshaping learning and assessment.” 
-----  Dragan Gašević

This volume captures a pivotal moment in education: the emergence of AI as both a transformative tool and a significant disruptor. AI has become deeply embedded within classrooms, examinations, tutoring platforms, and policymaking. This volume adopts an interdisciplinary approach, integrating psychometrics, cognitive science, classroom practice, AI engineering, and ethics to explore the impact of AI affordances. It examines how we define fairness, creativity, and equity in an AI-driven landscape, addressing questions of critical importance to researchers, policymakers, and practitioners alike. 
“This volume, edited by Alina von Davier and Duanli Yan, makes a major contribution because it addresses the developments in AI in education and human learning with breadth, rigor, and conceptual seriousness. The topic is expansive, the implications are substantial, and the field is moving quickly. Few edited collections could do justice to that combination of urgency and complexity. This volume manages to do so with impressive breadth and coherence. The volume brings together an outstanding group of authors across psychometrics, cognitive science, learning sciences, classroom practice, language assessment, and artificial intelligence. The result is a collection that captures the complexity of the present moment while offering a clear account of how AI is reshaping learning and assessment.” 
-----  Dragan Gašević

Autor*in

Alina A. von Davier

Themen in »Artificial Intelligence Applications in Educational Learning and Assessment«

Large Language Models AI in Education Automated Item Generation Automated Scoring Learning Analytics Supervised and unsupervised learning Agentic AI Large Language Models (LLMs) Automated Item Generation (AIG) Automated Scoring (AS) Personalized Learning Adaptive Learning Adaptive Assessment Metacognition Self-regulation

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