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
Parents
197
Jack A. Chambers, Jerry W. Sprecher · Communications of the ACM · 1980 · 328 citations · Full text
Classification of acute lymphoblastic leukemia using deep learning
Amjad Rehman, Naveed Abbas, Tanzila Saba et al. · Microscopy Research and Technique · 2018 · 324 citations · Full text
F T de Dombal, D J Leaper, J C Horrocks et al. · BMJ · 1974 · 282 citations · Full text
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University of Michigan
Ann Arbor, United States
4 h-index
7 publications
411 citations

Leeds General Infirmary
Leeds, United Kingdom
4 h-index
7 publications
988 citations
University of Technology Sydney
Sydney, Australia
3 h-index
11 publications
250 citations

King Saud University
Riyadh, Saudi Arabia
3 h-index
4 publications
342 citations
Jouf University
Sakakah, Saudi Arabia
2 h-index
2 publications
45 citations

University of Birmingham
Birmingham, United Kingdom
2 h-index
5 publications
88 citations
Universitat Politècnica de València
Valencia, Spain
2 h-index
3 publications
107 citations

Marche Polytechnic University
Ancona, Italy
2 h-index
10 publications
735 citations
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Repository · 9 publications · 407 citations
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4 publications · 82 citations
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3 publications · 243 citations
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3 publications · 73 citations
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JRME · 2 publications · 31 citations
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