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The 2026 10th International Conference on Digital Technology in Educationhttps://www.icdte.orgWe are pleased to invite you to join us for the 10th International Conference on Digital Technology in Education (ICDTE 2026), which will take place from October 30-November 1, 2026 in the beautiful city of Okayama, Japan. ICDTE 2026 is organized by Okayama University, Japan and supported by Nihon University, Japan, Shonan Institute of Technology, Japan, University of Muenster, Germany and Multimedia University, Malaysia. It brings together researchers, educators, industry professionals, and students from around the world to explore the frontiers of digital technology in education. From AI-powered learning tools to immersive environments and educational data analytics, ICDTE serves as a vibrant platform for academic exchange, innovation, and collaboration. We welcome you to share your insights, present your research, and engage with a global community passionate about shaping the future of education through technology. Stay tuned for keynote announcements, submission deadlines, and program updates. We look forward to seeing you in Okayama!Call for Papers| CFP Flyer2026 10th International Conference on Digital Technology in Education (ICDTE 2026) is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Digital Technology in Education. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:Educational Software & Serious GamesEducational Software ExperiencesComputer Software on EducationEducational/Serious GamesGamificationVideos for LearningEducational Multimedia and HypermediaAnimation and 3D SystemsVirtual Reality and Artificial Intelligence in EducationAdaptive Educational SystemsIntelligent ModellingAuthoring Tools for Intelligent Tutoring SystemsLearning with AI SystemsAgent-Based Learning EnvironmentsArchitectures for AI-based Educational SystemsMachine LearningLearning Analytics and Educational Data MiningPedagogical AgentsNatural Language Processing2D/3D and volumetric display and projection technology3D authoringImmersive / 360° videoImmersive analytics and visualizationMulti-user and distributed systemsMultimodal capturing and reconstructionScene description and management issuesSoftware architectures, toolkits, and engineeringTracking and sensingTraining, teaching, entertainment Digital LearningE-Learning Projects and ExperiencesBlended LearningMobile LearningMassive Open Online Courses (MOOCs)Distance LearningOnline/Virtual LaboratoriesVirtual UniversitiesE-Tutoring & MentoringIntelligent Tutoring Systems (ITS)Virtual Learning Environments (VLEs)Learning Management Systems (LMS)Personal Learning Environments (PLEs)E-Learning StandardsEducational Informatization and Digital Education PlatformsTechnology-Enhanced LearningFlipped ClassroomThe Impact of Web Technologies on EducationWeb Classroom ApplicationsBYOD (Bring your own device) and 1:1 LearningMobile and Tablet TechnologiesVirtual Reality and 3D ApplicationsICT skills and Digital literacyICT for DevelopmentIntelligent Systems and UX for EducationOpen Educational ResourcesOpen Access EducationKnowledge ManagementDigital Libraries and RepositoriesE-PortfoliosUser-Generated ContentLearning Analytics

The UK’s National AI Strategy If you are interested in learning more about the UK’s National AI Strategy, additional details can be found on the original platform at the following link:https://aistandardshub.org/the-national-ai-strategyhttps://www.linkedin.com/company/ai-standards-hub/The following information presents the UK government’s position on AI as set out in the UK’s National AI Strategy, and highlights how the AI Standards Hub will contribute to the delivery of the UK’s vision and outcomes for AI. The National AI Strategy outlines the United Kingdom’s long-term vision for becoming a global leader in artificial intelligence by promoting innovation, investment, and responsible AI governance. The strategy focuses on three major pillars: strengthening the AI ecosystem through research and talent development, supporting the transition to an AI-enabled economy across industries, and establishing effective national and international AI governance frameworks.A key component of the strategy is the development of trustworthy and ethical AI through international technical standards. The UK established the AI Standards Hub to support collaboration among government, academia, industry, and international partners in shaping global AI standards. The initiative aims to improve AI reliability, transparency, security, and interoperability while encouraging innovation and public trust in AI technologies.The strategy also emphasizes a “pro-innovation” approach to AI governance by balancing regulation with technological advancement. The government supports the creation of AI governance tools, standards, and policy frameworks that encourage responsible AI adoption while protecting public values, human rights, and economic competitiveness. In addition, the strategy highlights the importance of international cooperation, AI ethics, and long-term AI safety in supporting sustainable digital transformation.LSE to launch Global Forum on AI and the Social Sciences with $2m award from the MacArthur Foundationhttps://www.lse.ac.uk/dsi/news/2026/global-forum-announcedThe London School of Economics and Political Science (LSE) has announced the launch of a new Global Forum on AI and the Social Sciences, supported by a $2 million grant from the John D. and Catherine T. MacArthur Foundation. The initiative aims to bring together policymakers, researchers, industry leaders, and civil society representatives to explore how artificial intelligence can better serve society and human needs through evidence-based research and international collaboration.The Forum will be led by professors from LSE’s Data Science Institute (DSI) and will focus on the social and economic impacts of AI. Each year, the Forum will address a different major AI-related issue. The inaugural event, scheduled for September 2026 at LSE, will examine how AI is transforming the future of work and how governments, businesses, and workers can prepare for these changes.In addition, LSE plans to publish an annual State of AI and Society Report to summarize current research findings, identify knowledge gaps, and support informed policymaking. The initiative will also introduce a Commitment Charter, encouraging cooperation among governments, researchers, industry, and funding organizations to promote responsible and human-centered AI development. Overall, the Forum aims to position social science research at the center of global AI discussions and governance.Ethics of AIOnline coursehttps://cmu.to/92C4MThe LSE Ethics of AI Online Course is a short online program developed by London School of Economics and Political Science that focuses on the ethical, social, and political implications of artificial intelligence. The course is designed to help learners understand how AI affects governments, businesses, and society while developing practical skills for addressing ethical challenges related to AI technologies.The program explores major topics such as algorithmic bias, fairness, transparency, privacy, democracy, workplace inequality, and AI governance. Participants learn how AI systems can influence decision-making, hiring processes, public administration, and social structures. The course also discusses the responsibilities of governments and multinational companies in designing and deploying responsible AI systems.The course is structured into three main modules covering AI and the state, AI and business, and AI and society. Through case studies, discussions, and practical activities, learners develop critical thinking skills to evaluate ethical dilemmas and understand global approaches to AI regulation and governance. Overall, the course emphasizes human-centered and responsible AI development while preparing professionals to navigate the growing impact of AI in real-world contexts.

Introduction to Artificial Intelligence with PythonHarvard School of Engineering and Applied SciencesCourse description Link: https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-pythonWhat you'll learnGraph search algorithmsReinforcement learningMachine learningArtificial intelligence principlesHow to design intelligent systemsHow to use AI in Python programs CS50’s Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.Enroll now to gain expertise in one of the fastest-growing domains of computer science from the creators of one of the most popular computer science courses ever, CS50. You’ll learn the theoretical frameworks that enable these new technologies while gaining practical experience in how to apply these powerful techniques in your work.