Data Analytics and Adaptive Learning: Research Perspectives

Data Analytics and Adaptive Learning provides insights into the use of emerging data analysis and adaptive techniques in multiple learning settings, preparing researchers, developers, and graduate students to produce evidence for the benefits and challenges of data-driven learning.

Format: Paperback / softback
Length: 334 pages
Publication date: 25 August 2023
Publisher: Taylor & Francis Ltd

Data Analytics and Adaptive Learning delve into the transformative power of emerging data analysis and adaptive techniques in diverse learning environments. In recent times, analytics and adaptive learning have played a pivotal role in empowering educators to cater effectively to learners in virtual, blended, and personalized settings. This comprehensive collection of rich, enlightening, international studies encompasses a wide range of research methodologies, including quantitative, qualitative, and mixed-methods approaches, across higher education, K–12, and adult/continuing education contexts. By delving into the core issues of definition and pedagogical practice that permeate teaching and learning, and drawing insightful conclusions, this book aims to equip researchers, developers, and graduate students in instructional technology with the knowledge and skills to generate evidence-based insights into the benefits and complexities of data-driven learning.

Data Analytics and Adaptive Learning offer a wealth of insights into the effective utilization of emerging data analysis and adaptive techniques across various learning settings. In recent years, the integration of analytics and adaptive learning has played a crucial role in empowering educators to respond more effectively to learners in virtual, blended, and personalized environments. This extensive collection of rich, enlightening, and international studies spans a diverse range of research methodologies, including quantitative, qualitative, and mixed-methods approaches, across higher education, K–12, and adult/continuing education contexts. By delving into the fundamental issues of definition and pedagogical practice that shape teaching and learning, and drawing insightful conclusions, this book aims to equip researchers, developers, and graduate students in instructional technology with the knowledge and skills to generate evidence-based insights into the benefits and complexities of data-driven learning.

Dimension: 229 x 152 (mm)
ISBN-13: 9781032154701