
Graphika is an open-access, peer-reviewed journal on educational anthologies .
Frequently Asked Questions (FAQs)
1. What types of papers does LITERATURA accept?
We accept original research, case studies, literature reviews, conceptual papers, and interdisciplinary work that contributes to academic knowledge across various fields.
2. How do I submit my manuscript?
Manuscripts can be submitted via our online submission portal. Please ensure that your manuscript adheres to our formatting guidelines before submitting. Or you may email it to care@edukar.net directly.
3. How long does the review process take?
The peer review process typically takes 2-3 weeks. You will be notified of the decision shortly after.
4. Do I need to pay to submit my paper?
There is no fee to submit your paper. The Article Processing Charge (APC) is only due after your manuscript has been accepted for publication.
5. How can I become a reviewer?
If you’re interested in reviewing, please send your CV and areas of expertise to care@edukar.net.
Author Benefits
Publishing with LITERATURA provides numerous benefits:
- Global Visibility: As an open-access journal, your research is freely accessible to academics, professionals, and policymakers around the world.
- Academic Recognition: Published authors are acknowledged in our journal, increasing their academic profile and visibility.
- Citations and Impact: Open-access articles are more likely to be cited, contributing to the overall impact of your work.
- Comprehensive Support: Our editorial team is available to assist you throughout the submission and publication process.
- Mathematical Reading Comprehension in Problem-Solving Skills of Students: An Experimental Study
- Mixed Method Study on Course Shifting among College Students
- Making Connections: An Intervention Program to Address the Reading Difficulties of ALS Students
- Experiences of Parents of Children With Special Educational Needs: Basis for Teaching Strategies
- Technological, Pedagogical, and Content Knowledge as a Predictor of Mathematics Pre-Service Teachers’ Teaching Competency: A Multiple Regression Analysis