International Conference on Learning, Leadership, and Social Transformation (ICLLST 2027)
JANUARY 26–27, 2027 | HYBRID CONFERENCE
International Conference on Learning, Leadership, and Social Transformation
ICLLST 2027
Conference Theme: Human-Centered Education in the Age of Artificial Intelligence
The 1st International Conference on Learning, Leadership, and Social Transformation (ICLLST) 2027, co-organized by Thammasat University and Nexora Interdisciplinary Research and Development, invites teacher educators, faculty members of state universities and colleges and higher education institutions, school leaders, and graduate students to exchange research findings, instructional innovations, and policy insights in education.
Artificial intelligence now writes, grades, tutors, and translates. Schools and universities have adopted these technologies faster than policy, pedagogy, and teacher preparation have adjusted.
ICLLST 2027 examines how educators can preserve human growth, judgment, and relationships at the center of learning while using artificial intelligence responsibly.
The conference welcomes empirical studies, policy analyses, program evaluations, and practice-based research from basic education to graduate school.
Dates: January 26–27, 2027
Mode: Hybrid (onsite and online)
Venue: Thammasat Secondary School (Satit Thammasat), Thammasat University Rangsit Campus, Pathum Thani, Thailand.
Six Areas of Educational Research
Research Subthemes
Curriculum, Instruction, and Assessment
Outcomes-based and competency-based curricula, pedagogical innovation, classroom assessment, authentic and AI-resistant assessment, and the development of learning materials.
Educational Leadership and Management
School and university leadership, educational policy, quality assurance and accreditation, human resource development, and the governance of AI use in institutions.
Language, Literature, and Communication
Language teaching and learning, multilingual education, literary studies and pedagogy, academic writing, and the effects of AI on language use.
Teacher Education and Professional Development
Pre-service teacher preparation, practice teaching, continuing professional development, teacher well-being, and teacher competencies for digital classrooms.
Artificial Intelligence and Digital Learning
AI in teaching and learning, learning analytics, online and blended learning, academic integrity, and ethics and data privacy in education.
Inclusive, Peace, and Values Education
Special and inclusive education, Indigenous Peoples education, peace education and learners and schools as zones of peace, gender and development, and values and character formation.
Be a participant
Review the guidelines and register now.
ICLLST | ABSTRACT REQUIREMENTS
Preparing Your ICLLST Abstract
- The abstract must reflect one of the six ICLLST research subthemes.
- The abstract must contain 250 to 300 words.
- The abstract must report original, unpublished research.
- The abstract must follow the official conference format.
- The abstract must state the education level or setting of the study: basic, higher, graduate, or non-formal education.
- Paper Title
- Author/s First Name M.I. Last Name
- Institutional affiliation
- Institutional Email
- ORCID
- Subtheme
- Mode of presentation (Onsite or Online)
- Background
- Purpose
- Methods
- Results
- Conclusion
ICLLST | MANUSCRIPT PREPARATION
Full Paper Submission Guidelines
- Papers must be original and not previously published or under journal review.
- All submissions are subject to plagiarism checking. The similarity index must not exceed 15 percent, excluding references.
- Authors are responsible for proper citation and referencing using APA 7th edition.
- Papers must not exceed 7,000 words, including all tables, figures, and references.
- Studies involving human participants must include a statement of ethical procedures or ethics clearance.
- Authors must declare any use of generative AI tools and the purpose of use.
- Title of the paper: Arial 12 pt, bold, sentence case, centered.
- Author/s First Name M.I. Last Name.
- Institutional affiliation.
- Email address and ORCID iD of the corresponding author.
- Subtheme.
- Abstract
- Keywords
- Introduction
- Methodology
- Results and Discussion, with all tables and figures incorporated in the text
- Conclusion and Recommendations
- Declaration of AI use and conflict of interest
- References using APA 7th edition
ICLLST 2027
For inquiries, kindly contact us.
For clarification about ICLLST research subthemes, abstract preparation, manuscript formatting, and submission procedures, contact the official conference email.
Email: researchconference@nexoraird.com
Official website: Nexora