About the Journal

This international journal promotes and stimulates research in all fields with perspective of computational methods. Covering a wide range of issues - from the tools and languages of computational strategies to its philosophical implications - Computational Learning Strategies & Practices (CLSP) provides a vigorous forum for the publication of both experimental and theoretical research, as well as surveys and impact studies. The journal is designed to meet the computational needs of a wide range of workers in academic and industrial research.


JCLSP is an open access multi-disciplinary journal. All articles which are published by CLSP have undergone peer review and upon acceptance are immediately and permanently free for everyone to read and download. It also permit re-use defined by the author's choice of Creative Commons user licenses. There is no fee for the publication in JCLSP.

Journal of Computational Learning Strategies & Practices is an international, peer reviewed, open access, multi-disciplinary journal which publishes research papers, review papers, mini reviews, case reports, case studies, short communications, letters, editorials, books, thesis, dissertation works, etc., from all the aspects of sciences, social sciences, engineering, technology, arts and humanities, etc., with a condition that it would include some computational strategy, method, model, etc. After publishing, articles are freely available through online without any restrictions or any other subscriptions to researchers and readers worldwide.

Area – Multidisciplinary

Frequency – Annual

Language – English

Review Process – Double Blinded

Publication Timeline:  4 months peer review process

                                      Available online by 5 months from the date of submission.

Current Issue

Vol. 1 No. 1 (2021): Starting Computational Learning
View All Issues