PPTELL 2024:
Impactful Technologies and Computer-Assisted Language Learning
科技展示與摘要提交注意事項
PPTELL 2024誠摯邀請提交摘要，該摘要應基於專注於全球的科技增強語言學習的理論或實踐，且涉
及但不僅限於本次主題: 影響深遠的科技和語言學習:
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Collaboration between Technological Industries and CALL/TELL researchers
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Second language acquisition theories and technology enhanced language learning
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Technologies for multilingual and multiliteracy development
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Technologies for intercultural learning and communication
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Technologies and language teaching in early years education
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Technologies integration into EMI
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Technologies and ESP courses
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Technologies and language teacher education
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Teacher identity and believes
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Approaches and methods to researching technologies-enhanced language learning
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Technologies and language assessment
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Technologies for equitable language education
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Multimodality and technology-enhanced language learning/teaching
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The sustainability of impactful technologies
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Artificial Intelligence (AI)
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Adaptive learning systems for customized content and recommendations.
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Chatbots and virtual tutors powered by AI for real-time assistance.
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Online Learning Platforms:
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How online learning platforms, such as Coursera, edX, and Khan Academy, enable learners to access education from anywhere with an internet connection and their effects on language learning
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Virtual Reality (VR) and Augmented Reality (AR):
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How VR and AR technologies make making learning more engaging and interactive for language learners.
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Gamification:
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Educational games and apps and their effects on motivating students to achieve learning objectives
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Mobile Learning:
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The use of mobile apps and responsive websites for learners to access educational content on-the-go.
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Open Educational Resources (OER):
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Freely accessible educational materials and its impact on language learning.
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Cloud Computing:
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Cloud-based platforms facilitate collaborative learning, document sharing, and remote access to educational resources.
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Big Data and Learning Analytics:
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Using data and learning analytics to track student progress, identify at-risk students, and optimize curriculum and teaching methods for better outcomes.
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Natural Language Processing (NLP):
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NLP technologies power language learning apps and tools that can provide instant feedback on language proficiency, grammar, and pronunciation.
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Machine Learning and Predictive Analytics:
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Machine learning algorithms can analyze large datasets to identify patterns and trends in education, helping educators make data-driven decisions to improve student performance.
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Video Conferencing and Collaboration Tools:
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Tools, such as Zoom and Microsoft Teams, have become essential for remote and hybrid learning, enabling real-time interaction between teachers and students and facilitating group projects.
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科技展示類型
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演講科技展示：
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展示人說明產品研發及特色、教學應用。
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演講包括討論時間為30分鐘。
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海報科技展示：
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海報格式為A0。
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海報內容包含產品研發、特色和語言學習之應用。
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展示者應於海報展示期間說明。
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海報展示時間為50分鐘。