An edited volume by Muhittin Sahin (University of Mannheim, Germany) and Dirk Ifenthaler (University of Mannheim, Germany and Curtin University, Australia)

Introduction

Data is crucial for assessment processes (Sahin & Ifenthaler, 2024). At the same time, feedback processes, which are an indispensable part of assessment processes, should be further examined. Feedback analytics has a significant potential for discovering feedback patterns and optimising learning and assessment processes. To reveal this potential, it is necessary to understand the data in these processes, identify the crucial metrics, determine the relationship between theory and practice, structure process and environment organizations accordingly, prove their effectiveness and efficiency, and provide empirical evidence for these processes.

This edited volume collects original contributions that critically reflect the current state of research in feedback and identifies ways how to harness data and analytics for feedback. It will also to present practical cases to stakeholders, including the following tentative topics:

• Design principles of feedback analytics
• Determine metrics or features/attributes for feedback analytics
• The contributions of feedback analytics to the field of learning analytics and learning sciences
• Dashboard design and visualisation for feedback analytics
• Evaluation of the feedback analytics applications from stakeholders’ perspectives

As a result, the edited volume will present a collection of conceptual and empirical contributions.

Call for Proposals

If you are interested in contributing to the book project, we are asking you to submit a chapter proposal, including title, authors, affiliations, abstract describing the content of the chapter (max. 300 words), five keywords, three key references and a description of how the chapter fits the theme of the book, no later than 31 May 2025.

Please submit the chapter proposal no later than 31 May 2025 as a single PDF document, including all required information, using the online submission form: http://fba.ifenthaler.info

All submissions will undergo a rigorous double-blind peer review, recommending full submissions from among the proposals. Accepted chapters shall not exceed 8,000 words and shall be completed no later than 30 November 2025. Specific guidelines will be made available after 15 June 2025.

Proposed Timeline

31 May 2025: Proposals due, including title, authors, affiliations, abstract, keywords, references, theme
15 June 2025: Notification and additional information for accepted authors
30 November 2025: Draft chapters of max 8,000 words due
15 January 2026: Chapters returned with reviewers’ comments
31 March 2026: Final chapters due

Inquires

Please use the following link for your inquiries and submissions: http://fba.ifenthaler.info