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IEEE TALE 2026: International Conference on Teaching, Assessment, and Learning for Engineers

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投稿締切日:
2026-07-26 延長
通知日:
2026-09-01
開催日:
2026-12-02
開催地:
Pattaya, Thailand
開催回数:
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IEEE TALE
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会伴インデックス (CP-I)

52.6 / 100
全 5,693 件中 第 1,130 位 · 上位 20%

教育・学習テクノロジー 分野 139 件中 第 17 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
75
コミュニティの注目度 (10%)
19
公開情報の充実度 (15%)
55

使用した入力: 確認できる開催回数:15 · 会伴でフォローしている研究者:1 人 · 過去 24 か月にこのページを開いた研究者:4 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-10-05

論文募集

IEEE TALE 2026 (International Conference on Teaching, Assessment, and Learning for Engineers) is an academic conference held in Pattaya, Thailand on 2026-12-02. The paper submission deadline is 2026-07-26 (extended). Acceptance notifications are sent on 2026-09-01.

Conference Overview IEEE TALE is the flagship Asia-Pacific conference of the IEEE Education Society. In 2026, hosted by the IEEE Thailand Section, we gather in the coastal city of Pattaya to explore how modern technologies—with a spotlight on Artificial Intelligence—are reshaping the pedagogical landscape. We invite researchers, educators, and industry practitioners to share innovations that move education from universal access to personalized, AI-driven excellence. In 2026, IEEE TALE returns as a leading international forum dedicated to advancing innovation and excellence in engineering, technology, and computing education across the Asia-Pacific region and beyond. IEEE TALE 2026 brings together academic, industry, and government professionals to explore emerging trends, research, and practical applications related to technology-enhanced learning, engineering education, artificial intelligence in education, digital transformation, and future learning environments. The conference provides an inclusive platform for collaboration, networking, and the exchange of ideas focused on improving teaching, learning, and educational accessibility in an increasingly connected world. Recognized as a premier international conference in the field of educational innovation and technology-enhanced learning, IEEE TALE fosters interdisciplinary dialogue among educators, researchers, instructional designers, policymakers, and industry leaders. The conference aims to promote impactful research, share innovative practices, and encourage global partnerships that contribute to the future of education and workforce development. Special Focus How AI Affects Education This year’s conference specifically examines the “AI Inflection Point.” We seek papers that explore the dual nature of AI as both a tool for empowerment and a challenge to traditional academic integrity. Key areas of impact include: Generative AI and LLMs: Impact of AI on curriculum design, personalized tutoring, and automated feedback. AI-Enhanced Assessment: Automated grading, plagiarism detection in the age of AI, and shift toward authentic, AI-resistant assessment. Adaptive Learning Systems: Intelligent tutoring systems (ITS), recommendation engines for student learning paths, and hyper-personalization. Ethical AI & Governance: Bias in educational datasets, data privacy, student security, and institutional policy for AI use. Learning Analytics: Educational data mining to predict student performance and enhance retention. Human-AI Collaboration: The evolving role of the teacher as an “AI co-pilot” and building AI literacy for students and faculty. Technical Tracks Special Track: AI for Education (Conference Spotlight) Generative AI & LLMs: AI-Enhanced Assessment: Adaptive Learning Systems: Ethical AI & Governance: Learning Analytics: Human-AI Collaboration: Core TALE Tracks Online, Open, and Flexible Learning: Emerging Learning Technologies: Curriculum, Assessment, and Learning Sciences Learner Experience and Outcomes Credentials, Ethics, and Educational Systems Entrepreneurship and Innovation in Education
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