Mengenai Jurnal

Journal of Data Science and Education (JDSEDU)

The Journal of Data Science and Education (JDSEDU) is a peer-reviewed academic journal dedicated to publishing high-quality research at the intersection of data science and education. The journal aims to provide a platform for researchers, educators, and practitioners to share innovative ideas, methodologies, and applications that contribute to the advancement of data-driven approaches in educational contexts.

JDSEDU focuses on the integration of data science techniques—including machine learning, artificial intelligence, data mining, and learning analytics—into educational theory, policy, and practice. The journal encourages interdisciplinary research that bridges computational methods with pedagogical innovation to enhance teaching, learning, and decision-making processes.

Focus and Scope

The journal welcomes original research articles, review papers, and case studies in, but not limited to, the following areas:

  • Learning Analytics and Educational Data Mining
  • Artificial Intelligence in Education
  • Machine Learning Applications in Education
  • Big Data and Educational Technology
  • Predictive Modeling in Learning Systems
  • Intelligent Tutoring Systems
  • Data-Driven Decision Making in Education
  • Online Learning and Learning Management Systems (LMS) Analytics
  • Educational Policy and Data Science Integration

Publication Frequency

JDSEDU is published [biannually/quarterly] and accepts submissions on a rolling basis. All manuscripts undergo a rigorous double-blind peer review process to ensure academic quality and integrity.

Open Access Policy

The journal provides immediate open access to its content, supporting the principle that making research freely available to the public enhances the global exchange of knowledge. All published articles can be accessed and downloaded without any subscription or payment.

Peer Review Process

All submitted manuscripts are reviewed using a double-blind peer review system. Each paper is evaluated by at least two independent reviewers based on originality, methodological rigor, relevance, and contribution to the field.

Publication Ethics

JDSEDU adheres to international standards of publication ethics, including those established by the Committee on Publication Ethics (COPE). The journal is committed to preventing plagiarism, data falsification, and other forms of academic misconduct.

Indexing and Visibility

The journal is committed to increasing its visibility and accessibility by being indexed in reputable databases and continuously improving its publication quality to meet international standards.

Final Statement

Through its commitment to academic excellence and innovation, the Journal of Data Science and Education (JDSEDU) aims to become a leading international journal in the field, fostering collaboration and knowledge exchange among scholars worldwide.