Learning Technology for Education in Cloud investigates how cloud computing can be used to design applications to support real time on demand learning using technologies. The workshop proceedings provide opportunities for delegates to discuss the latest research in TEL (Technology Enhanced Learning) and its impacts for learners and institutions, using cloud.
The Workshop on Learning Technology for Education in Cloud (LTEC ’12) is a forum where researchers, educators and practitioners came together to discuss ideas, projects and lessons learned related to the use of learning technology in cloud, on the 11th-13th July at Salamanca in Spain.
表中的内容
An Approach for Supporting P2P Collaborative Communication Based on Learning Profile.- CAFCLA: A Conceptual Framework to Develop Collaborative Context-aware Learning Activities.- Application of Soft Computing in the Assessment of Comprehensive Skills of First Year Dental.- Student An Overview of E-Learning in Cloud Computing.- Retrieving learning resources over the cloud.- Accounting students will live in the cloud.- A Blended Learning Model for ‘Multimedia Systems’ Course.- Prototyping an Online Game Platform through the Formative Design Approach based on the Monopoly Mechanism.- Serious Gaming: A new way to introduce Product Lifecycle Management.- A Study on Factors Influencing Students’ Participation in Skill Certification Test.- A study of the effectiveness of using blog as a cooperative learning platform for accounting skill certification test.- A Study on Teaching Problems and Coping Strategies of social study field teachers.- The Impact of Integrating Information Technology into Teaching on Teacher Education of Taiwan’s Secondary Education.- Analysing students’ use of recorded lectures through methodological triangulation.- A Study on the Effect of Constructivism-based Teaching on Industrial High School’s Electronics.- Practice Ontology in adaptive Learning environment Navigating the Educational Cloud Constructivist learning environment in a cloud Learning Strategy Recommendation Agent.
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