2026 3rd International Conference on Artificial Intelligence and Teacher Education (ICAITE 2026)
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About this event
Event Description: 2026 3rd International Conference on Artificial Intelligence and Teacher Education (ICAITE 2026)
Dates: December 06–08, 2026
Venue: Nagasaki University,
Address: 1-14 Bunkyo, Nagasaki City 852-8521, Japan
Event Overview: The 2026 3rd International Conference on Artificial Intelligence and Teacher Education (ICAITE 2026) is a premier academic event that brings together researchers, educators, and industry professionals to explore the intersection of artificial intelligence and teacher education. Co-sponsored by Nagasaki University and patronized by institutions such as Ritsumeikan University, Japan, and Capital Normal University, China, this conference provides a platform for discussing innovative solutions to challenges in the field through flexible, sophisticated, and predictive approaches.
Purpose: ICAITE 2026 aims to foster discussions on new research and engineering achievements, particularly in areas such as Software Engineering, Computer Applications, Computational Intelligence, and AI techniques. It invites submissions that showcase significant advancements through research results, projects, surveys, and industrial experiences.
Target Audience:
- Academics and researchers in AI and education
- Educational technologists
- Teacher educators and trainers
- Policymakers in education
- Industry professionals developing AI tools for education
Key Features:
- Submission of full papers or abstracts (using .docx or Latex templates)
- Opportunity for presentation and publication in IEEE conference proceedings
- Indexing in EI Compendex and Scopus
- Keynote and invited speaker sessions
- Networking opportunities with global experts
Important Dates:
- Submission Deadline: July 20, 2026
- Notification of Acceptance: August 20, 2026
- Camera-Ready Paper Due: September 10, 2026
- Registration Deadline: September 10, 2026
Contact Information:
Email: icaite@academic.net
Conference Secretary: Ms. Susan Ma
Data sheet
2026 3rd International Conference on Artificial Intelligence and Teacher Education (ICAITE 2026) – Event Attendee & Buyer Profile Analysis
Event date: December 06–08, 2026
Location: Nagasaki, Japan
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 3rd International Conference on Artificial Intelligence and Teacher Education (ICAITE 2026) |
| Event Date | December 06–08, 2026 |
| Event Status | Upcoming |
| Venue | Nagasaki University |
| City | Nagasaki |
| State / Region | Nagasaki Prefecture |
| Country | Japan |
| Organizer | Official organizer name not clearly stated on the event website. Confirmed conference secretariat contact: Ms. Susan Ma. |
| Official Event Website | icaite.net |
| Event Type | International academic conference |
| Primary Category | Education & Training |
| Secondary Applicable Categories | IT & Technology; Science & Research |
| Audience Reach | Global |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for numeric attendance; high for dates, location, conference positioning, sponsorship, and submission timeline based on the official website. |
| Main Purpose of Event | To convene researchers, educators, and industry professionals to present and discuss research and engineering advances at the intersection of artificial intelligence and teacher education, including software engineering, computer applications, computational intelligence, and AI techniques. |
About the Event
ICAITE 2026 is an international academic conference focused on the convergence of artificial intelligence and teacher education. Based on the official event website, the 3rd edition will be held in Nagasaki, Japan during December 06–08, 2026 and is co-sponsored by Nagasaki University, with patronage support from Ritsumeikan University, Capital Normal University, and Beijing Spring Institute of Education.
The event matters because it attracts a high-intent academic and institutional audience involved in AI research, educational technology, curriculum innovation, teacher training, and scholarly publication. While it is not a mass-market trade show, it is relevant for B2B outreach to higher education institutions, research groups, academic program leaders, education-technology solution providers, and public-sector education stakeholders interested in AI-enabled teaching and learning.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Faculty researchers in AI and education | Universities, research labs, academic departments | Influence software pilots, research collaborations, grant participation, and publication-related partnerships | Strong fit for AI tools, learning analytics, research platforms, and academic collaboration services |
| Teacher education leaders | Schools of education, teacher training institutes, colleges of education | Can shape curriculum adoption, professional development programs, and institutional technology selection | Relevant for curriculum technology, digital pedagogy, certification, and instructional design providers |
| Educational technologists | EdTech centers, digital learning offices, university IT/learning innovation units | Evaluate AI-enabled teaching tools, LMS enhancements, analytics platforms, and deployment models | High-value audience for demos, pilots, procurement pathways, and solution comparisons |
| Academic authors and presenters | Scholars submitting papers or abstracts | Influence peer networks, research adoption, and institutional awareness rather than direct procurement alone | Useful for thought-leadership outreach, beta testing, and academic advocacy |
| University administrators and program managers | Graduate schools, education programs, innovation offices | May control budget allocation, project approval, partnership agreements, and conference participation | Relevant for academic services, partnerships, sponsorship, and institutional software packages |
| Industry professionals developing AI tools for education | EdTech companies, AI software vendors, learning platform developers | Potential buyers of research collaboration, event sponsorship, academic partnerships, and channel relationships | Strong fit for partnership sales, co-development, and institutional market entry |
| Education policymakers and institutional advisors | Education agencies, policy institutes, academic associations | Influence standards, ethics, funding priorities, and institutional adoption frameworks | Useful for credibility building, policy-aligned messaging, and strategic positioning |
| Research publishers and indexing stakeholders | Conference proceedings partners, indexing ecosystems | Support publication visibility and scholarly credibility | Relevant for publishing, abstract management, and conference operations services |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Nagasaki | Local faculty, university staff, academic hosts, and regional education stakeholders | Moderate | Venue information on the official site identifies Nagasaki University in Nagasaki City. |
| Nagasaki Prefecture / Kyushu region | Regional universities, colleges, education researchers, and institutional IT teams | Moderate | Likely regional academic participation due to host location, but not explicitly quantified by the organizer. |
| Japan national market | Universities, teacher education institutions, academic societies, and EdTech stakeholders across Japan | High | Co-sponsorship and patronage from Japanese institutions supports national reach. |
| East Asia | Researchers and institutions from China and neighboring academic markets | High | Confirmed patronage includes Capital Normal University and Beijing Spring Institute of Education in China. |
| International | Global academic authors, conference presenters, and AI-in-education researchers | Medium to High | The conference is positioned as an international event and includes visa/travel information on the official website. |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | Officially branded as an international conference, with cross-border patron institutions and publication positioning oriented to international academic contributors. |
| National | Secondary description | Strong relevance across Japan due to host university involvement and domestic academic participation. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Nagasaki University | Host university / academic buyer | Confirmed co-sponsor and venue reference on the official site; relevant for academic technology, research collaboration, and teacher education initiatives | nagasaki-u.ac.jp | Professor, Dean, Director of Educational Technology, Research Center Director, IT Director | Confirmed Current-Year Participant |
| Ritsumeikan University | Patron university / academic buyer | Officially listed as a patron; relevant for AI, pedagogy, institutional innovation, and international academic collaboration | ritsumei.ac.jp | Dean, Professor, Program Director, Center Director, CIO | Confirmed Current-Year Participant |
| Capital Normal University | Patron university / academic buyer | Officially listed as a patron; relevant due to teacher education and academic research positioning | cnu.edu.cn | Professor, Dean, Director of Teacher Education, Research Lead, Academic Affairs Director | Confirmed Current-Year Participant |
| Beijing Spring Institute of Education (BSIE) | Education institute / policy and training stakeholder | Officially listed as a patron; likely relevant for teacher development, education training, and applied AI-in-education use cases | Official domain not verified from the provided source text | Institute Director, Program Director, Teacher Training Director, Research Manager | Confirmed Current-Year Participant |
Official current-year participant organizations publicly disclosed on the event website are limited. This restricts confirmed buyer-side account identification for current-year attendee list building.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Dean / Associate Dean | Academic Affairs / Education | Executive | Influences curriculum strategy, institutional partnerships, and budget approval |
| 2 | Professor / Principal Investigator | Research / Faculty | Senior | Drives research collaboration, pilot selection, and scholarly advocacy |
| 3 | Director of Educational Technology | Educational Technology / Innovation | Director | Evaluates AI tools, deployment models, training needs, and integration pathways |
| 4 | Teacher Education Program Director | Teacher Training / Program Management | Director | Key stakeholder for curriculum modernization, faculty development, and classroom adoption |
| 5 | CIO / IT Director | Information Technology | Executive / Director | Owns systems integration, security, infrastructure, and vendor approvals |
| 6 | Research Center Director | Research / Innovation | Director | Can sponsor research partnerships, joint projects, and funded pilots |
| 7 | Instructional Design Lead | Learning Design / Curriculum | Manager / Lead | Translates AI capabilities into practical teaching workflows and training programs |
| 8 | Academic Affairs Director | Academic Administration | Director | Important for program governance, faculty coordination, and implementation support |
| 9 | Partnerships Director | External Relations / Strategic Partnerships | Director | Relevant for co-development, sponsorship, and international institutional collaboration |
| 10 | Procurement Manager | Procurement / Administration | Manager | Relevant where software, training, or platform purchase requires formal vendor onboarding |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Higher Education | Core attendee base for an academic conference hosted by and supported by universities | University outreach, faculty partnerships, institutional pilots |
| 2 | Education Management | Relevant for teacher training organizations and institutional operators | Program administration, teacher development, platform adoption |
| 3 | E-Learning | Directly aligned to AI-enabled instructional delivery and digital pedagogy | LMS tools, assessment, personalization, content delivery |
| 4 | Information Technology & Services | Relevant for campus IT, implementation partners, and solution providers | System integration, deployment, support, compliance |
| 5 | Computer Software | AI and learning software vendors are highly relevant counterparties | EdTech product outreach, research-tool partnerships, conference sponsorship |
| 6 | Research | Matches research institutes and applied AI study groups | Joint studies, grant collaboration, evaluation partnerships |
| 7 | Professional Training & Coaching | Relevant for teacher training, certification, and upskilling providers | Faculty training, certification programs, adoption services |
| 8 | Government Administration | Useful for education agencies and public universities | Public education modernization, policy-aligned procurement |
| 9 | Public Policy | Relevant to ethics, standards, and educational governance stakeholders | Policy research, standards development, evaluation frameworks |
| 10 | International Trade & Development | Useful where international education programs and cross-border academic initiatives are involved | Global partnership and program expansion targeting |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not Confirmed | Official event website reviewed | No attendee number disclosed in the supplied official content. |
| Exhibitor count | Not publicly stated | Not Confirmed | Official event website reviewed | This appears to be a conference rather than a conventional expo with exhibitor metrics. |
| Buyer count | Not publicly stated | Not Confirmed | Official event website reviewed | Academic conferences rarely publish “buyer count” metrics. |
| Speaker count | Not publicly confirmed in supplied source text | Not Confirmed | Official event website reviewed | The menu includes keynote and invited speakers pages, but the provided source text does not list a full current-year count. |
| Sponsor / supporting institution count | At least 4 institutions named | Confirmed | Official event website text | Confirmed named institutions: Nagasaki University, Ritsumeikan University, Capital Normal University, Beijing Spring Institute of Education. |
| Historical attendance | Not publicly confirmed in supplied source text | Historical / prior-year evidence unavailable for attendance numbers | Official news section references successful prior editions only | The site confirms 2025 and 2024 editions occurred, but does not disclose attendance figures in the provided text. |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Artificial Intelligence in Education | Evidence-based AI tools for teaching, assessment, and learning support | Research collaboration, pilot programs, use-case demonstrations | AI teaching assistants, assessment tools, adaptive learning platforms |
| Teacher Education | Professional development and curriculum modernization for future educators | Program-level outreach to teacher training institutions and academic leaders | Teacher training systems, certification modules, pedagogy support platforms |
| Software Engineering | Scalable architecture for AI-enabled education tools | Technical partnerships and implementation planning | Development frameworks, API integrations, academic software solutions |
| Computer Applications | Usable digital tools for education operations and classroom engagement | Application-specific demos and institutional workflow mapping | Learning apps, collaboration platforms, faculty productivity tools |
| Computational Intelligence | Advanced modeling, analytics, and decision-support methods | Joint research and proof-of-concept discussions | Analytics engines, model evaluation, academic data science support |
| Publication and Academic Visibility | Indexed publication pathways and conference presentation opportunities | Outreach to submitting authors, research groups, and program chairs | Conference services, editorial support, abstract handling, research dissemination |
| International Academic Collaboration | Cross-border research, faculty exchange, and institutional partnerships | Partnership-led business development with universities and institutes | Collaboration platforms, program management solutions, mobility support |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong relevance for AI-in-education vendors, academic service providers, and institutional partnership teams. |
| Decision-maker availability | Medium | Senior academics and program leaders are likely present, but direct procurement titles may be less visible than at commercial expos. |
| Data collection potential | Medium | Useful for speaker, author, institution, and committee mapping, but official attendee transparency appears limited. |
| Apollo targeting potential | High | Clear industry and title mapping exists across higher education, education management, research, and EdTech. |
| Geographic targeting potential | High | Japan-first targeting can be expanded to East Asia and international academic markets. |
| Best outreach approach | Thought-leadership plus partnership outreach | Conference-driven outreach should emphasize research value, pedagogy outcomes, pilots, and institutional credibility over transactional sales language. |
| Overall lead quality | High | Best suited for niche B2B academic targeting, especially where buyers include universities, teacher training institutions, and research-led EdTech users. |
| Best use case | Academic account-based marketing | Ideal for identifying institutions, labs, and education leaders aligned to AI and teacher education adoption. |
| Limitations / risks | Medium | Limited public disclosure of attendee counts and current-year participant lists reduces certainty for direct attendee list building. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Higher Education; Education Management; E-Learning; Research; Information Technology & Services; Computer Software; Professional Training & Coaching; Government Administration | Focus on institution-side and solution-side accounts aligned to AI and teacher education |
| Departments | Education; Academic Affairs; Information Technology; Research; Innovation; Partnerships; Procurement | Capture both academic influencers and operational decision-makers |
| Seniority | C-Level; VP; Director; Head; Professor; Manager | Prioritize strategic and implementation-level contacts |
| Job titles | Dean, Associate Dean, Professor, Principal Investigator, Director of Educational Technology, CIO, IT Director, Teacher Education Program Director, Research Center Director, Academic Affairs Director, Instructional Design Lead, Partnerships Director, Procurement Manager | Reach the most relevant buyers, evaluators, and institutional champions |
| Geography | Japan; Nagasaki Prefecture; Kyoto; Beijing; broader East Asia | Align with confirmed host and patron geographies plus likely conference catchment |
| Employee size | 201–500; 501–1,000; 1,001–5,000; 5,001+ | Targets larger universities, institutes, and established EdTech organizations |
| Keywords | artificial intelligence, teacher education, educational technology, learning analytics, digital pedagogy, adaptive learning, curriculum innovation, faculty development, AI in education, instructional design | Improves relevance for title and company-level search refinement |
| Technologies | LMS, digital learning platforms, analytics tools, AI-based classroom tools | Useful if prospecting solution providers or digitally mature institutions |
| Revenue range | Use selectively where Apollo data is available | Helpful for private EdTech vendors; less reliable for public universities |
| Company type | Universities, research institutes, teacher training institutes, EdTech providers, public education organizations | Supports both buyer-side and partnership-side account segmentation |
Suggested Apollo Search Logic: ("artificial intelligence" OR "AI in education" OR "educational technology" OR "teacher education" OR "learning analytics" OR "digital pedagogy") AND (Dean OR Professor OR "Educational Technology" OR "Academic Affairs" OR CIO OR "Program Director" OR "Research Director") AND (Japan OR Nagasaki OR Kyoto OR Beijing OR Asia-Pacific).
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICAITE 2026 Official Website | Official event website | Event name, dates, city, country, venue information, co-sponsor/patron institutions, conference positioning, important deadlines, publication notes, and contact information | High |
| Nagasaki University | Official institution website | Host institution identity and official domain for the named venue reference | High |
Verification notes: The official source confirms that ICAITE 2026 will be held in Nagasaki, Japan during December 06–08, 2026 and includes “Venue Information” for Nagasaki University with address details. The official source does not publicly confirm attendee counts, exhibitor counts, or a full current-year attendee directory in the provided text. This event is suitable for focused B2B attendee profiling and account-based outreach in higher education and AI-in-education markets, but it is not ideal for large-scale attendee list sales unless additional official participant disclosures become available.
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