Aim and Scope

Aims

Decision Sciences in Human Learning and Development focuses on advancing scholarly understanding of decision-making processes, models, and systems that shape human learning and development across the lifespan. The journal emphasizes data-driven, human-centered, and technology-enhanced approaches to decision-making in diverse learning contexts, including formal, non-formal, and informal environments.

The journal aims to bridge interdisciplinary perspectives from education, cognitive science, psychology, data science, and artificial intelligence to explore how decisions are designed, supported, and optimized to improve learning outcomes and human development.

Scope

The journal welcomes high-quality research articles, systematic reviews, and theoretical contributions in, but not limited to, the following areas:

1. Decision-Making in Learning and Development

  • Instructional and pedagogical decision-making
  • Decision processes in human learning and development
  • Metacognition, self-regulated learning, and learning strategies
  • Cognitive and behavioral aspects of decision-making in learning

2. Artificial Intelligence and Intelligent Decision Systems

  • AI-supported learning and decision-making
  • Intelligent tutoring systems and adaptive learning technologies
  • Human–AI collaboration in learning environments
  • Generative AI in pedagogical design and knowledge construction

3. Learning Analytics and Data-Driven Decision-Making

  • Learning analytics and educational data mining
  • Predictive modeling of learning outcomes
  • Data-driven instructional design and evaluation
  • Big data and decision intelligence in learning systems

4. Design and Optimization of Learning Systems

  • Instructional design models and decision frameworks
  • Optimization of learning environments and systems
  • Simulation and modeling in learning processes
  • Systems thinking in human learning and development

5. Policy, Management, and Organizational Decision-Making

  • Decision-making in educational and training institutions
  • Policy analysis and evidence-based decision-making
  • Leadership and strategic decision-making in learning organizations
  • Workforce learning and professional development

6. Lifelong Learning and Human Development

  • Learning across the lifespan (lifelong and life-wide learning)
  • Informal and non-formal learning environments
  • Digital learning ecosystems and open learning environments
  • Human development in socio-cultural and technological contexts