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Journal of Intelligent Pedagogy

Smart Learning Environments, Educational AI & Adaptive Pedagogy

Publishing model: Diamond Open Access (Free) • Frequency: Biannual (June, December) • Online ISSN: 3025-8891
Global Innovation & Academic Press • Open Access Academic Publisher Explore open access policies → Author guidelines →

Aims & Scope ISSN: 3025-8891

Journal of Intelligent Pedagogy is an international peer-reviewed scholarly journal dedicated to rapid, high-integrity publication of empirical inquiries and methodological innovations.

Key Research Objectives

  • Explores the convergence of artificial intelligence, cognitive science, and modern pedagogical frameworks.
  • Investigates adaptive learning environments, intelligent tutoring systems (ITS), and automated formative feedback mechanisms.
  • Addresses the ethical, pedagogical, and policy dimensions of Large Language Models (LLMs) and generative AI in global classrooms.
  • Publishes rigorous empirical studies, algorithmic design research, and psychometric evaluations of AI-driven educational interventions.

Thematic Pillars & Scopes

Intelligent Tutoring Systems & Adaptive Learning

  • Knowledge tracing, Bayesian student modeling, and personalized learning pathways
  • Adaptive scaffolding, cognitive load optimization, and real-time intervention engines
  • Conversational pedagogical agents and natural language dialogue systems
  • Automated essay scoring, formative code assessment, and mathematical reasoning feedback

Generative AI & Large Language Models in Education

  • Fine-tuned LLMs for inquiry-based tutoring and conceptual question generation
  • AI-assisted co-design of curriculum, lesson planning, and rubric synthesis
  • Academic integrity, hallucination detection, and student critical AI literacy
  • Multimodal models (vision-language) in diagrammatic and laboratory STEM reasoning

Learning Analytics & Multimodal Educational Data

  • Eye-tracking, affective computing, and engagement modeling in virtual environments
  • Clickstream analysis, dropout prediction, and early academic warning algorithms
  • Data ethics, learner privacy preservation, and algorithmic fairness in educational testing
  • Institutional learning analytics dashboards and evidence-based decision systems

Virtual Reality, Simulations & AI-Enhanced Labs

  • Immersive VR/AR simulations for hazardous and high-cost laboratory sciences
  • AI-generated virtual patients and clinical scenario simulations for health education
  • Game-based learning mechanics and dynamic difficulty adjustment (DDA)
  • Collaborative virtual environments (CVE) for international peer learning

Latest Research Articles

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Adaptive Knowledge Tracing and Real-Time Cognitive Load Balancing in High School Algorithmic Problem Solving

Deploying dynamic Bayesian Knowledge Tracing with EEG-informed cognitive load thresholds across 640 computer science students. Students in the adaptive intervention achieved 28% higher mastery rates in dynamic programming concepts.

Evaluating Socratic Dialogue Scaffolding by Fine-Tuned LLMs in Undergraduate Chemistry Tutoring

A double-blind randomized control trial comparing open-ended AI dialogue versus traditional static text feedback. The Socratic agent generated statistically higher conceptual transfer scores (d = 0.72) on complex stoichiometry exams.

Multimodal Learning Analytics for Identifying Collaborative Breakdown in Synchronous Engineering Design Teams

Combining gaze-tracking, speech sentiment analysis, and shared-whiteboard clickstreams to predict disengagement during virtual team design sessions. The system detected collaboration breakdowns 4.3 minutes prior to project stalling.

Journal Announcements

Call for Papers: Special Issue on Generative AI and Human-in-the-Loop Pedagogy (December 2026)

JoIP Accepted for Inclusion in Global Open Science and Educational Technology Indexes

Best Paper Award 2026 Announced at the International Conference on AI & Intelligent Pedagogy