Description

2027 3rd International Conference on Digital Education and Information Technology (DEIT 2027) will be held from January 22 to 24, 2027, in Kunming. The conference aims to bring together scholars, researchers, educators, and industry professionals to exchange views on current developments and practical applications in digital education and information technology. Topics of interest include, but are not limited to, online learning platforms, data-driven teaching methods, intelligent tutoring systems, virtual learning environments, classroom technology integration, and open educational resources. The conference will feature keynote talks, oral sessions, and poster presentations, offering participants a platform to share recent findings, discuss emerging directions, and build collaborative ties. We invite colleagues and practitioners in education and information technology to join this event and contribute to the ongoing progress in digital education. We look forward to seeing you in Kunming from January 22 to 24, 2027.

Call For Papers

Topic 1: Educational Technology and Systems E‑learning platforms and toolsComputer‑supported collaborative learningMobile learning and ubiquitous learningGame‑based learningVirtual reality and augmented reality in educationAdaptive learning systemsEducational robotics and automation technologiesEmerging technologies in education Topic 2: Computer‑Supported Collaborative Learning and Social Computing Theories and models of collaborative learningSocial computing and learningOnline communities and educational networksSocial media in educationCollaborative technologies for educationComputer‑supported argumentation and debate Topic 3: Artificial Intelligence in Education Intelligent tutoring systemsNatural language processing in educationKnowledge representation and reasoning in educationIntelligent educational systems and applicationsIntelligent learning environmentsCognitive models and their educational implications Topic 4: STEM Education and Computational Thinking STEM education and its pedagogical approachesComputational thinking and coding education‑ Robotics and automation in STEM educationComputational modeling and simulation in educationEducational applications of the Internet of ThingsDigital manufacturing and maker education Topic 5: Educational Data Mining and Learning Analytics Data‑driven educational approachesLearning analytics and visualizationEducational data mining and machine learningEducational big dataPersonalized learningEducational decision‑makingEvaluation and assessment of e‑learning