The 6th IEEE Conference on E-Learning and innovation in EDucation will be held within the IEEE CiSt’2027 international congress the week of 09th - 15th October 2027, Tetouan - Martil, Morocco. 

The main objective of this Conference is to bring together researchers, academics, educators, and professionals to share their research findings, experiences, and innovations in digital learning and educational technologies.

In today's rapidly evolving digital society, emerging technologies such as Artificial Intelligence (AI), Generative AI, Large Language Models (LLMs), learning analytics, and immersive technologies are transforming education and training. These developments offer new opportunities to enhance learning experiences, personalize educational pathways, improve student engagement, and support innovative teaching and assessment practices.

ELED'27 addresses these developments through four complementary research perspectives:

• Artificial Intelligence and Data-Driven Learning: AI in education, intelligent tutoring systems, generative AI, personalized learning, recommender systems, learning analytics, and educational data mining.

• Digital Learning Technologies and Innovative Environments: E-learning platforms, LMS, mobile and cloud learning, MOOCs, hybrid education, virtual laboratories, and immersive technologies (VR/AR/XR).

• Digital Pedagogy, Instructional Design, and Assessment: Innovative teaching methodologies, instructional design, digital educational resources, competency-based learning, automated assessment, and quality assurance.

• Interactive Learning, Educational Innovation, and Emerging Applications: Gamification, serious games, simulation-based learning, student engagement, lifelong learning, digital skills, and professional training.

ELED'27 aims to provide an international forum for presenting original research, discussing emerging challenges, and fostering interdisciplinary collaboration between the academic and professional communities.

Researchers and practitioners are invited to submit their original and unpublished contributions, including theoretical studies, methodological approaches, technological developments, and practical applications addressing the technical, pedagogical, and innovative dimensions of digital education.

Topics to be included, but are not limited to:

• Artificial Intelligence and Data-Driven Learning

  • Artificial Intelligence in Education (AIED), Generative AI, and Large Language Models (LLMs).

  • Intelligent Tutoring Systems, AI-powered Learning Assistants, and Agent-based Learning.

  • Adaptive, Personalized Learning, and Educational Recommender Systems.

  • Explainable, Trustworthy, and Responsible AI in Education.

  • Learning Analytics, Educational Data Mining, and Big Data in Education.

  • Predictive Analytics, Student Behavior Modeling, and Data-driven Decision Support.

• Digital Learning Technologies and Innovative Learning Environments

  • E-Learning Platforms, Learning Management Systems (LMS), and Learning Experience Platforms (LXP).

  • Mobile, Ubiquitous, Cloud-based, and Distributed Learning Environments.

  • Online, Hybrid, Flipped Classrooms, MOOCs, and SPOCs.

  • Virtual Universities, Classrooms, Laboratories, and Remote Experimentation.

  • Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), and Extended Reality (XR).

  • Digital Twins, Simulation-based Learning, and Immersive Educational Environments.

• Digital Pedagogy, Instructional Design, and Assessment

  • Technology-enhanced Instructional Design and Innovative Teaching Methodologies.

  • Competency-based, Outcome-based, and Personalized Learning Pathways.

  • Digital Educational Content, Learning Objects, and Open Educational Resources (OER).

  • Microlearning, Multimedia-based Learning, and Interactive Learning Experiences.

  • Technology-enhanced Assessment, Automated Evaluation, and AI-based Feedback.

  • Learning Outcomes, Academic Integrity, Quality Assurance, and Accreditation in E-Learning.

• Interactive Learning, Educational Innovation, and Emerging Applications

  • Game-based Learning, Gamification, and Educational Serious Games.

  • Learning Process Monitoring, Visualization, and Student Engagement Analysis.

  • Digital Skills, Future Competencies, and Lifelong Learning.

  • Technology-enhanced Language Learning and Digital Learning Applications.

  • E-Training, Workplace Learning, and Professional Development.

  • Innovative Educational Technologies and Applications in Higher Education.