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  1. International Journal of Artificial Intelligence in Education
  2. International Journal of Artificial Intelligence in Education : Volume 27
  3. International Journal of Artificial Intelligence in Education : Volume 27, Issue 3, September 2017
  4. New Directions in Formative Feedback in Interactive Learning Environments
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International Journal of Artificial Intelligence in Education : Volume 27
International Journal of Artificial Intelligence in Education : Volume 27, Issue 4, December 2017
International Journal of Artificial Intelligence in Education : Volume 27, Issue 3, September 2017
New Directions in Formative Feedback in Interactive Learning Environments
Role of Working Memory and Strategy-Use in Feedback Effects on children’s Progression in Analogy Solving:an Explanatory Item Response Theory Account
Assessing Whether Students Seek Constructive Criticism: The Design of an Automated Feedback System for a Graphic Design Task
Designing Grounded Feedback: Criteria for Using Linked Representations to Support Learning of Abstract Symbols
Assistance and Feedback Mechanism in an Intelligent Tutoring System for Teaching Conversion of Natural Language into Logic
Argumentation Scheme-Based Argument Generation to Support Feedback in Educational Argument Modeling Systems
Automated Assessment of the Quality of Peer Reviews using Natural Language Processing Techniques
Iterative Design and Classroom Evaluation of Automated Formative Feedback for Improving Peer Feedback Localization
Designing Crowdcritique Systems for Formative Feedback
International Journal of Artificial Intelligence in Education : Volume 27, Issue 2, June 2017
International Journal of Artificial Intelligence in Education : Volume 27, Issue 1, March 2017
International Journal of Artificial Intelligence in Education : Volume 26
International Journal of Artificial Intelligence in Education : Volume 25
International Journal of Artificial Intelligence in Education : Volume 24
International Journal of Artificial Intelligence in Education : Volume 23

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New Directions in Formative Feedback in Interactive Learning Environments

Content Provider SpringerLink
Author Foltz, Peter Bauer, Malcolm Goldin, Ilya Narciss, Susanne
Copyright Year 2017
Abstract Formative feedback is well known as a key factor in influencing learning. Modern interactive learning environments provide a broad range of ways to provide feedback to students as well as new tools to understand feedback and its relation to various learning outcomes. This issue focuses on the role of formative feedback through a lens of how technologies both support student learning and enhance our understanding of the mechanisms of feedback. The papers in the issue span a variety of feedback strategies, instructional domains, AI techniques, and educational use cases in order to improve and understand formative feedback in interactive learning environments. The issue encompasses three primary themes critical to understanding formative feedback: 1) the role of human information processing and individual learner characteristics for feedback efficiency, 2) how to deliver meaningful feedback to learners in domains of study where student work is difficult to assess, and 3) how human feedback sources (e.g., peer students) can be supported by user interfaces and technology-generated feedback.
Starting Page 385
Ending Page 392
Page Count 8
File Format PDF
ISSN 15604292
Journal International Journal of Artificial Intelligence in Education
Volume Number 27
Issue Number 3
e-ISSN 15604306
Language English
Publisher Springer New York
Publisher Date 2017-01-25
Publisher Institution International AIED Society
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Educational Technology Individual differences User Interfaces and Human Computer Interaction Ill-defined domains Artificial Intelligence (incl. Robotics) Formative assessment Peer feedback Computers and Education Formative feedback
Content Type Text
Resource Type Article
Subject Education Computational Theory and Mathematics E-learning
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