Learning Analytics in Higher Education

This booknprovides a comprehensive overview of assessment that is used to support learning, practice-based theory on assessment for learning, and formative assessment to support individual development and motivate learners.

Step-by-step approach guides you through the process of developing an assessment program, from the research and planning phase to implementation and beyond, with more than 100 examples along the way.

Demonstrates how universities can use Big Data to enhance operations and management, improve the education pipeline, and educate the next generation of data scientists.

Discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates.

Deals with the social implications of e-learning, its transformative effects, and the social and technical interplay that supports and directs e-learning.

Book harnesses the dispersed knowledge in online education to provide a one-stop locale for work on emergent approaches in the field. Includes chapter on Educational Data Mining and Learning Analytics.

Offers a practical plan for implementing effective social media strategies within higher education settings. Includes a chapter on learning and trace analytics.

Examines the connection between learning analytics and evaluations and their impact on curriculum design and student performance in educational institutions.

Provides expert definitions and interpretations of common terms within the policy and practice of educational assessment.

Presents a reframed conception and approach to student learning outcomes assessment.

This text helps educators develop the tools and the conceptual understanding needed to provide definitive answers to difficult statistical questions facing education today.