Decision Sciences in Human Learning and Development

Decision Sciences in Human Learning and Development is an interdisciplinary scholarly journal that publishes high-quality research on decision-making processes, models, and systems that influence human learning and development across the lifespan. The journal emphasizes data-driven, human-centered, and technology-enhanced approaches, particularly in the integration of artificial intelligence, learning analytics, and intelligent systems to support effective learning.

This journal welcomes contributions from diverse fields, including education, cognitive science, psychology, data science, and artificial intelligence, to explore how decisions are designed, supported, and optimized in various learning contexts, both formal and informal. Each submission undergoes a rigorous peer-review process to ensure originality, relevance, and scientific contribution.

By fostering interdisciplinary dialogue, the journal aims to become a leading platform for advancing innovative research and practices in decision sciences related to human learning and development.