1.

Record Nr.

UNINA9910999674203321

Titolo

Computer-Based Diagnostics and Systematic Analysis of Knowledge : Critical Reflections and Advancements / / edited by Pablo Pirnay-Dummer, Dirk Ifenthaler

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

3-031-87740-3

Edizione

[2nd ed. 2025.]

Descrizione fisica

1 online resource (X, 260 p. 36 illus., 14 illus. in color.)

Collana

Advances in Analytics for Learning and Teaching, , 2662-2130

Disciplina

371.26

Soggetti

Educational tests and measurements

Educational technology

Study skills

Assessment and Testing

Digital Education and Educational Technology

Study and Learning Skills

Tecnologia educativa

Avaluació educativa

Tests i proves en educació

Mètodes d'estudi

Llibres electrònics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Part 1: Conceptual Perspectives Chapter 1: On The Process, Use And Methodological Challenges Of Assessing Knowledge -- Chapter 2: Framing Knowledge As Conceptual Structure -- Chapter 3: Knowledge In The Era Of Artificial Intelligence -- Chapter 4: A Framework For Data-Driven Computer-Based Diagnostics Of Competencies And Capabilities Across Contexts -- Part 2: Applied Perspectives -- Chapter 5: T-MITOCAR. An Epistemological Approach To Assessing Artifacts Of Knowledge -- Chapter 6: Designing Effective Technologies to Support Self-Regulated Strategies Development for Writing -- Chapter 7: Sequential Pattern Mining On Cyber Ranges For A Computer-Based Diagnostic Of Cybersecurity Skills -- Chapter 8: Tracking Competency



Development In Highly Interactive Digital Learning Environments -- Chapter 9: Modeling Creativity In Education. Assessing Creativity In Students Scratch Projects: A Study On Human-AI Collaboration For Creativity Assessment -- Chapter 10: The Next Level In Personalized Learning: Adaptation Of Educational Chatbots To Students’ Individual Learning -- Chapter 11: Technology-Enhanced Feedback In K-12 Schools: Utilizing T-MITOCAR For Knowledge Artifact And Feedback -- Chapter 12: Bridging The Gap Between Math Formalism And Natural Language.

Sommario/riassunto

This volume explores the rapidly advancing field of technology-supported knowledge assessment. Across academia, research on learning and instruction, AI-based analysis, psychology, and education, there is a pressing need for a comprehensive collection of foundations and methodologies related to knowledge. While the market offers books on individual and locally developed methods, a holistic overview is currently lacking. It aims to fill that gap, inspiring projects globally and benefiting knowledge-intensive developments in both digital and traditional learning environments. Understanding the state and processes of knowledge often poses a bottleneck in the quality of designs and implementations. This book addresses this challenge by focusing on mostly automated, easy-to-implement strategies, supporting the crucial task of understanding knowledge.