The generation of meaning in discourse is regarded as the process of knowledge-building, which can be analyzed by semantic waves. Combining the deep learning systems and polynomial fitting method, we present a method to compute multimodal semantic waves. With this method, four representative examples are discussed for the knowledge-building of…

After nearly 30 years after the reform and opening up the rapid development of economy, China also had a "industrial pollution" and "poverty", mainly because of the low level of productivity, population pressure overload caused by environmental degradation, and between population pressure and environmental degradation A vicious…

Purpose: The present study seeks to examine the efficacy of different training modalities on increasing workplace learning, representatives' intent to transfer what they learned into their work, and importantly how training impacts actual work performance. These relationships are tested in the context of a Chinese division of a multinational…

Game-based instruction has been praised as an effective approach to second language (L2) development, as it can provide a low-stakes, fun, and engaging learning environment. However, in designing digital games for L2 learning, it is important to consider how various game designs and mechanics can affect learning gains. In the current study…

With specific reference to Yangzhong city in China, this study investigates students' citizenship competence learning -- political identity, scientific spirit, legal awareness and public participation. The study uses a mixed methodology of questionnaires, classroom observations, document analyses and interviews to collect data and identifies three…

Studies have indicated the importance of scaffolding in the problem-solving process, as well as the potential of integrating learning content into the troubleshooting tasks. However, few have explored in depth the learning process during troubleshooting via scaffolds while also taking students' cognitive load into account. To address this issue,…

Artificial Intelligence (AI) has penetrated the field of education. Trust has long been regarded as a driver for the acceptance of technology. Netnography and interviews were used to investigate trust in AI-based educational systems from the perspective of users. We identified the factors influencing trust in AI-based educational systems and…

This paper reports on a study that looks at the micro-processes of teacher learning in a language teacher professional community in China. Following the tradition of ethnomethodology, teacher learning in this paper is conceptualised as interactional accomplishment of negotiation of practice through talk. Based on a purposively selected discourse…

Assigning difficulty level indicators to the knowledge units helps the learners plan their learning activities more efficiently. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty levels of knowledge units. Firstly, the authors present the hierarchical structure and properties of the knowledge map.…

Compared with standard arithmetic word problems demanding only the direct use of number operations and computations, realistic problems are harder to solve because children need to incorporate "real-world" knowledge into their solutions. Using the realistic word problem testing materials developed by Verschaffel, De Corte, and Lasure…

These proceedings contain the papers of the IADIS International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2013), October 22-24, 2013, which has been organized by the International Association for Development of the Information Society (IADIS), co-organized by The University of North Texas (UNT), sponsored by the…