Decision, Learning, and Human Development
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Decision, Learning, and Human Development (DLHD)
Decision, Learning, and Human Development (DLHD) is a peer-reviewed interdisciplinary journal dedicated to publishing high-quality research at the intersection of decision sciences, learning systems, educational innovation, human development, and evidence-based social transformation. The journal provides an academic platform for scholars, policymakers, educators, researchers, and practitioners who investigate how data-informed decision-making, learning analytics, artificial intelligence, policy evaluation, and human-centred systems contribute to sustainable learning and human development.
Decision, Learning, and Human Development (DLHD) is an open-access journal that publishes original empirical studies, methodological papers, systematic reviews, policy analyses, decision-modelling studies, and design-based research. The journal emphasizes interdisciplinary contributions that integrate decision sciences, education, artificial intelligence, information systems, development studies, life-span and life-course studies, and social sciences. Its scope extends beyond conventional educational research by prioritizing studies that demonstrate analytical rigor, international relevance, strong theoretical contribution, and measurable implications for learning, governance, inclusion, and human well-being.
Decision, Learning, and Human Development (DLHD) is professionally managed by WISE Pendidikan Indonesia to support academics, researchers, and practitioners in disseminating interdisciplinary and evidence-based research for global scholarly communities.
Decision, Learning, and Human Development (DLHD) is committed to becoming an international academic platform for authors, editors, and reviewers from diverse geographical and disciplinary backgrounds. The editorial team is dedicated to maintaining rigorous peer-review standards, strengthening international collaboration, and advancing high-quality publications with strong potential for global visibility and indexing.
Accepted Article Types
- Original Research Articles
- Review Articles
- Conceptual Papers
