New Directions in Formative Feedback in Interactive Learning Environments

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.

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[4]  Susanne Narciss,et al.  Conditions and Effects of Feedback Viewed Through the Lens of the Interactive Tutoring Feedback Model , 2017 .

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[12]  C. Evans Making Sense of Assessment Feedback in Higher Education , 2013 .

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[14]  Elizabeth Gerber,et al.  Designing Crowdcritique Systems for Formative Feedback , 2017, International Journal of Artificial Intelligence in Education.

[15]  Vincent Aleven,et al.  Formative Feedback in Interactive Learning Environments , 2013, AIED.

[16]  Kevin D. Ashley,et al.  Redesigning Educational Peer Review Interactions Using Computer Tools: An Introduction. , 2012 .

[17]  Claire E. Stevenson,et al.  Role of Working Memory and Strategy-Use in Feedback Effects on children’s Progression in Analogy Solving:an Explanatory Item Response Theory Account , 2016, International Journal of Artificial Intelligence in Education.

[18]  Kenneth R. Koedinger,et al.  Designing Grounded Feedback: Criteria for Using Linked Representations to Support Learning of Abstract Symbols , 2017, International Journal of Artificial Intelligence in Education.

[19]  Ioannis Hatzilygeroudis,et al.  Assistance and Feedback Mechanism in an Intelligent Tutoring System for Teaching Conversion of Natural Language into Logic , 2017, International Journal of Artificial Intelligence in Education.

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[21]  Christian D. Schunn,et al.  The Effects of Feedback Elaboration on the Giver of Feedback , 2008 .

[22]  Nancy L. Green,et al.  Argumentation Scheme-Based Argument Generation to Support Feedback in Educational Argument Modeling Systems , 2017, International Journal of Artificial Intelligence in Education.

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[25]  Daniel L. Schwartz,et al.  Assessing Whether Students Seek Constructive Criticism: The Design of an Automated Feedback System for a Graphic Design Task , 2017, International Journal of Artificial Intelligence in Education.

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