Focus and Scope

Intellecta: Journal of Education, AI and Society

 

  1. Artificial Intelligence in Education (AIEd)

This area examines the design, implementation, and evaluation of artificial intelligence technologies to enhance teaching, learning, assessment, and educational management. It includes intelligent tutoring systems, AI-driven feedback tools, automated assessment, and personalized learning platforms.

 

  1. Learning Analytics and Adaptive Systems

This scope focuses on the collection, analysis, and interpretation of educational data to understand learners’ behaviors, performance, and engagement. It also explores adaptive learning systems that dynamically adjust instructional content, pacing, and feedback based on individual learner profiles.

 

  1. AI Ethics, Governance, and Policy in Education

This domain addresses ethical considerations, regulatory frameworks, and governance models related to AI deployment in education. Key issues include data privacy, algorithmic transparency, accountability, fairness, and the development of responsible AI policies.

 

  1. Digital Transformation and Smart Learning Environments

This area investigates the systemic integration of digital and AI technologies into educational institutions to create intelligent, data-driven, and interactive learning environments that enhance accessibility, efficiency, and learner engagement.

 

  1. Human-AI Collaboration in Classrooms

This scope explores collaborative models in which AI systems function as supportive partners for teachers and students. It examines how AI can augment instructional practices, facilitate differentiated learning, and foster meaningful human–technology interaction without replacing human agency.

 

  1. Equity, Access, and Algorithmic Bias

This field critically examines issues of inclusion and fairness in AI-enabled education. It investigates disparities in access to technology and the presence of algorithmic bias that may reinforce existing social, economic, or cultural inequalities.

 

  1. Curriculum Innovation for the AI Age

This area focuses on the redesign of curricula to address the demands of an AI-driven society. It includes the integration of interdisciplinary competencies, digital fluency, critical thinking, creativity, and problem-solving skills aligned with emerging technological contexts.

 

  1. AI Literacy and Computational Thinking

This domain emphasizes the development of foundational knowledge about AI systems, algorithmic processes, and computational logic. It promotes critical understanding, ethical awareness, and the capacity to engage with AI as informed users, evaluators, and creators.

 

  1. Educational Technology and Societal Change

This scope analyzes the reciprocal relationship between educational technologies and broader societal transformations. It explores how technological advancements reshape educational practices, social interactions, cultural norms, and institutional structures.

 

  1. Future of Work and Educational Reform

This area examines the implications of automation and AI for labor markets and professional competencies. It addresses how educational systems must reform to prepare learners for evolving career pathways, lifelong learning, and adaptive workforce participation.