Call: Unobtrusive Observations of Learning in Digital Environments
We would like to invite you to submit your proposal for an edited volume on “Unobtrusive Observations of Learning in Digital Environments”, to be published by Springer, Cham.
If you are interested in contributing to the book project, we invite you to submit a short chapter proposal (see details below) no later than 15 February 2022 using the online submission form: https://bit.ly/3ecOFJw
All submissions will undergo a rigorous double-blind peer review who will recommend full submissions from among the proposals. Accepted chapters shall not exceed 8,000 words, including references, figures, and tables. Specific guidelines will be made available after 15 March 2022.
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Vitomir Kovanovic, Roger Azevedo, David Gibson and Dirk Ifenthaler
Unobtrusive Observations of Learning in Digital Environments
This book seeks to integrate foundational ideas from psychology, immersive digital learning environments and game-based learning supported by theories and methods of the learning sciences, particularly in pursuit of questions of cognition, behaviour and emotion factors in digital learning experiences. New and emerging foundations of theory and analysis based on observation of digital traces are enhanced by data science, particularly machine learning, with extensions to deep learning, natural language processing and artificial intelligence brought into service to better understand higher-order thinking capacities such as self-regulation, collaborative problem-solving and social construction of knowledge.
As a result, the edited volume will present a collection of indicators or measurements focusing on learning processes and related behaviour, (meta-)cognition, emotion and motivation, as well as social processes. In addition, each section of the book will include an invited commentary from a related field, such as educational psychology, cognitive science, and learning science.
The following presents a tentative table of contents including sections and possible key areas of the included contributions:
The section on indicators focusing on behaviour
- Modelling student behavioural engagement
- Measuring engagement with multimodal data
- Commentary from Learning Design or Learning Science
The section on indicators focusing on cognition and metacognition
- Measuring learning from text
- Learning strategies
- Metacognitive prompts and personalized scaffolding
- Commentary from Psychometrician or Cognitive Science
The section on indicators focusing on emotion and motivation
- Affect detection methods and techniques
- Emotions and ITS
- Emotion regulation in collaborative learning
- Measuring motivation from hypertext
- Commentary from Educational Psychology
The section on indicators focusing on social processes
- Modelling dynamics of social processes
- Linguistic analysis of student collaboration
- Group cohesion
- Commentary from Computational Social Science
This edited volume is part of the Advances in Analytics for Learning and Teaching book series (https://www.springer.com/series/16338) and will focus on indicators or measurements focusing on learning processes and related behaviour, (meta-)cognition, emotion and motivation, as well as social processes.
Instructions for authors
If you are interested in contributing to the book project, please submit a short chapter proposal no later than 15 February 2022 as a single PDF document using the submission form: https://bit.ly/3ecOFJw
The chapter proposal should include:
- Chapter title,
- The list of all authors and their affiliations,
- 300-word abstract describing the content of the chapter
- Five keywords,
- Three key references,
- A short description of how the chapter fits the theme of the book.
All submissions will undergo a rigorous double-blind peer review who will recommend full submissions from among the proposals. Accepted chapters shall not exceed 8,000 words and shall be completed no later than 15 July 2022. Specific guidelines will be made available after 15 March 2022. You may refer to the information below or visit the website:https://bit.ly/3yOaNna
- 15 February 2022: Short chapter proposals due (with 300-word abstract)
- 15 March 2022: Notification and additional information for accepted authors
- 15 July 2022: Draft chapters of max 8,000 words due
- 01 September 2022: Chapters returned with reviewers’ comments
- 01 October 2022: Final chapters due
- Vitomir Kovanovic, University of South Australia, Australia,
- Roger Azevedo, University of Central Florida, USA
- David Gibson, Curtin University, Australia
- Dirk Ifenthaler, University of Mannheim, Germany and Curtin University, Australia
Please use the following link for your inquiries and submissions: https://bit.ly/3ecOFJw