About the Journal

About the Journal

Measurement and Evaluation of Inclusive Learning (MEAI) is an international open-access scientific journal that applies a double-blind peer review process and is exclusively dedicated to publishing original research articles and review articles in the fields of educational measurement and learning assessment.

The journal promotes the dissemination of research that advances conceptual frameworks, methodological approaches, and scientific innovations aimed at the design, implementation, and evaluation of measurement processes and assessment instruments that strengthen evidence-based educational quality. Its editorial identity embraces inclusive assessment as a cross-cutting principle, understood as the development of valid, reliable, equitable, accessible, and bias-free assessment systems capable of addressing the diversity of learners, educational contexts, and learning environments.

Aim

To publish original research articles and review articles that contribute to the scientific advancement of educational measurement and learning assessment through the development of evidence-based models, methods, instruments, and technologies. The journal encourages research that enhances the validity, reliability, equity, accessibility, and innovation of assessment processes, supporting the continuous improvement of educational quality and evidence-informed decision-making across all educational levels and modalities.

Scope

The journal welcomes scientific contributions in the following areas and subfields:

  • Educational measurement.
  • Learning assessment.
  • Diagnostic, formative, and summative assessment.
  • Competency-based assessment and learning outcomes assessment.
  • Psychometrics and classical test theory.
  • Item Response Theory (IRT) and contemporary measurement models.
  • Design, validation, cross-cultural adaptation, and standardization of assessment instruments.
  • Validity, reliability, precision, fairness, and measurement invariance.
  • Inclusive assessment, accessibility, and Universal Design for Learning (UDL).
  • Quantitative, qualitative, and mixed methods applied to educational assessment.
  • Learning Analytics and educational data mining.
  • Data science, artificial intelligence, and machine learning applied to educational measurement and learning assessment.
  • Digital assessment, adaptive assessment, and emerging assessment technologies.
  • Educational quality, quality assurance, and continuous improvement of educational systems.
  • Curriculum assessment, institutional assessment, and program evaluation.
  • Teacher performance assessment and professional development.
  • Public policies and national and international educational assessment systems.
  • Ethics, transparency, and integrity in educational measurement and assessment.

Types of Manuscripts

The journal exclusively publishes:

  • Original research articles.
  • Review articles.

Publication Frequency

Measurement and Evaluation of Inclusive Learning (MEAI) is published on a semiannual basis, releasing two issues per year according to the following editorial schedule:

  • Volume, Issue 1: January 1 to June 30.
  • Volume, Issue 2: July 1 to December 31.

The journal maintains continuous submission throughout the year. Accepted manuscripts are assigned to the corresponding issue after successfully completing the editorial process, double-blind peer review, and final scientific editing.

Interoperability Protocols

To ensure the highest standards of visibility, interoperability, discoverability, and long-term preservation of its scientific content, Measurement and Evaluation of Inclusive Learning (MEAI) implements internationally recognized scholarly communication standards that enable the automated harvesting of metadata by indexing services, digital libraries, academic search engines, aggregators, and national and international repositories.

The journal provides an interface compliant with the Open Archives Initiative – Protocol for Metadata Harvesting (OAI-PMH) Version 2.0, allowing standardized exposure of bibliographic metadata using the Dublin Core metadata schema in accordance with international best practices for interoperability in open-access scholarly publishing.

Technical Specifications

  • Protocol: Open Archives Initiative – Protocol for Metadata Harvesting (OAI-PMH) Version 2.0.
  • Metadata Schema: Dublin Core.
  • Data Provider: Measurement and Evaluation of Inclusive Learning (MEAI).
  • OAI-PMH Repository URL: https://evaluacionaprendizaje.org/index.php/meai/oai

The metadata exposed through the OAI-PMH protocol facilitate the journal's integration with national and international scholarly information infrastructures, enhancing indexing, interoperability, content discoverability, and long-term digital preservation in accordance with international standards for scholarly communication.