Computer-aided Practice

Computer-Aided Practice is a systematic instructional framework that integrates digital technologies to enhance, guide, and individualize drilling activities through automated feedback, adaptive sequencing, and performance tracking, thereby distinguishing it from traditional rote rehearsal methods by its reliance on computational support for skill acquisition.

197

Publications

8.3K

Citations

655

Authors

288

Institutions

Publications per year

2017–2026

50

Authors

655

  1. FT
    F T de Dombal

    Leeds General Infirmary, United Kingdom

    5 publications · 513 citations

    5

    h-index

  2. PR
    P.H. Reitsma

    Vrije Universiteit Amsterdam, Netherlands

    3 publications · 244 citations

    3

    h-index

  3. DR
    Daniel Rosser

    University of Technology Sydney, Australia

    3 publications · 68 citations

    3

    h-index

  4. JR
    J. R. Staniland

    Leeds General Infirmary, United Kingdom

    3 publications · 453 citations

    3

    h-index

  5. CT
    Chek Tien Tan

    University of Technology Sydney, Australia

    3 publications · 68 citations

    3

    h-index

1–5 of 655

Venues

  1. PubMed

    Repository · 9 publications · 407 citations

    9

    h-index

  2. Journal of Healthcare Engineering

    4 publications · 82 citations

    4

    h-index

  3. IEEE Access

    3 publications · 243 citations

    3

    h-index

  4. Computers & Education

    3 publications · 73 citations

    3

    h-index

  5. Journal for Research in Mathematics Education

    JRME · 2 publications · 31 citations

    2

    h-index

1–5