Rule-based Feedback Generation

Rule-Based Feedback Generation is a feedback generation approach that employs predefined linguistic, syntactic, or semantic rules to systematically analyze learner outputs and produce structured corrective or evaluative responses.

5

Publications

187

Citations

17

Authors

5

Institutions

Publications per year

2017–2026

0

Authors

17

  1. SJ
    Srinivasan Janarthanam

    University of Edinburgh, United Kingdom

    1 publications · 20 citations

    1

    h-index

  2. HH
    Helen Hastie

    Heriot-Watt University, United Kingdom

    1 publications · 20 citations

    1

    h-index

  3. RH
    Ralph Hollis

    Carnegie Mellon University, United States

    1 publications · 79 citations

    1

    h-index

  4. LH
    Lill‐Beathe Halstadtro

    St Olav's University Hospital, Norway

    1 publications · 10 citations

    1

    h-index

  5. EA
    Elizabeth A. Davis

    University of Michigan, United States

    1 publications · 11 citations

    1

    h-index

1–5 of 17

Venues

  1. Journal of Educational Computing Research

    1 publications · 11 citations

    1

    h-index

  2. Edinburgh Napier Research Repository (Edinburgh Napier University)

    Repository · 1 publications · 20 citations

    1

    h-index

  3. The Analysis of Verbal Behavior

    TAVB · 1 publications · 10 citations

    1

    h-index

  4. Neuropsychologia

    1 publications · 67 citations

    1

    h-index

1–5