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International Journal of Smart Technology and Learning
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International Journal of Smart Technology and Learning (3 papers in press)
A research framework of pair learning in robotics education by Liying Xia, Baichang Zhong Abstract: Although cooperative learning has certain advantages in robotics education (RE), some problems exposed in practice deserve our attention, e.g., free-rider issue, conflicts of interest, fixed roles, and negative groupthink effects. In view of this, we propose the methodology of pair learning (PL), in which students cooperate in pairs to construct, build and program a robot under scripted but switchable roles. A research framework was designed to further explore the mechanism and effectiveness of PL in RE. The framework covered four research perspectives of PL, including role assignment and role switching strategy, grouping strategy, the integration strategy of PL and coopetition, and the effectiveness of PL. On the basis of the four research perspectives, five groups of true experiments or quasi-experiments were designed. In addition, five data collection methods were introduced to evaluate students performances from the perspectives of artifacts, attitude towards RE, immersion/attention, compatibility of groups, and cognitive load. It is hoped that this paper will enrich the teaching model of RE and provide new guidance for promoting the healthy development of RE. Keywords: robotics education; cooperative learning; pair learning; role assignment; role switching; grouping; coopetition.
Artificial Intelligence-based Educational Application: A Survey of the Significance for Chinese Education by Yichen Wang Abstract: This study focuses on investigating the service condition and current opinion regarding the application of Artificial Intelligence (AI) in Chinese education. A method of questionnaire is applied. The results indicate an inspiring information that, although the majority of the participants use the AI-based educational application only for some occasions, they are satisfied with it, and consider the future of these applications optimistically. Furthermore, they regard these applications as supplements to the traditional Chinese education. This study suggests that there is a solid foundation for the organizations to promote the application of AI in Chinese education in a large scale by utilizing a combination of adaptive learning techniques, and the K12-type MOOCs. After reaching full AI coverage in Chinese education, equity can be finally achieved. Keywords: Artificial Intelligence; AI-based Educational Application; K12-type MOOCS; Equity in Education; China.
Exploring a blended mobile learning environment to develop students scientific inquiry skills in science museums by Hua Du, Xiaoqing Gu Abstract: Informal environments, such as science museums, are known to have potentials for developing scientific inquiry skills. Mobile devices, including smartphones and portable tablets, are increasingly applied to scaffold exploration given their convenience and interactivity. Although the pedagogical affordability of mobile devices has been widely investigated, designing a blended mobile learning environment to learner-centered experience in science museum remains to be explored further. In this study, a blended mobile learning environment and a set of activities are designed by adapting to learners different styles. Subsequently, quasi-experimental research with two original classes of 66 participants was conducted to examine the differences in their scientific inquiry skills. Moreover, the learners attitude on the blended mobile learning environment has been measured using questionnaires. Results show that a well-designed blended mobile learning environment in science museums is effective in developing students scientific inquiry skills. Keywords: Blended learning; mobile learning; scientific inquiry skill; science museum.