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Social and Behavioral Sciences Commons™
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Articles 1 - 6 of 6
Full-Text Articles in Social and Behavioral Sciences
Student Rules: Exploring Patterns Of Students' Computer-Efficacy And Engagement With Digital Technologies In Learning, Sarah Katherine Howard, Jun Ma, Jie Yang
Student Rules: Exploring Patterns Of Students' Computer-Efficacy And Engagement With Digital Technologies In Learning, Sarah Katherine Howard, Jun Ma, Jie Yang
Faculty of Engineering and Information Sciences - Papers: Part A
Teachers' beliefs about students' engagement in and knowledge of digital technologies will affect technologically integrated learning designs. Over the past few decades, teachers have tended to feel that students were confident and engaged users of digital technologies, but there is a growing body of research challenging this assumption. Given this disparity, it is necessary to examine students' confidence and engagement using digital technologies to understand how differences may affect experiences in technologically integrated learning. However, the complexity of teaching and learning can make it difficult to isolate and study multiple factors and their effects. This paper proposes the use of …
Learning Path Adaptation In Online Learning Systems, Alva Hendi Muhammad, Qingguo Zhou, Ghassan Beydoun, Dongming Xu, Jun Shen
Learning Path Adaptation In Online Learning Systems, Alva Hendi Muhammad, Qingguo Zhou, Ghassan Beydoun, Dongming Xu, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part A
Learning path in online learning systems refers to a sequence of learning objects which are designated to help the students in improving their knowledge or skill in particular subjects or degree courses. In this paper, we review the recent research on learning path adaptation to pursue two goals, first is to organize and analyze the parameter of adaptation in learning path; the second is to discuss the challenges in implementing learning path adaptation. The survey covers the state of the art and aims at providing a comprehensive introduction to the learning path adaptation for researchers and practitioners.
Learning A Pose Lexicon For Semantic Action Recognition, Lijuan Zhou, Wanqing Li, Philip O. Ogunbona
Learning A Pose Lexicon For Semantic Action Recognition, Lijuan Zhou, Wanqing Li, Philip O. Ogunbona
Faculty of Engineering and Information Sciences - Papers: Part A
This paper presents a novel method for learning a pose lexicon comprising semantic poses defined by textual instructions and their associated visual poses defined by visual features. The proposed method simultaneously takes two input streams, semantic poses and visual pose candidates, and statistically learns a mapping between them to construct the lexicon. With the learned lexicon, action recognition can be cast as the problem of finding the maximum translation probability of a sequence of semantic poses given a stream of visual pose candidates. Experiments evaluating pre-trained and zero-shot action recognition conducted on MSRC-12 gesture and WorkoutSu-10 exercise datasets were used …
Rational And Self-Adaptive Evolutionary Extreme Learning Machine For Electricity Price Forecast, Chixin Xiao, Zhao Y. Dong, Yan Xu, Ke Meng, Xun Zhou, Xin Zhang
Rational And Self-Adaptive Evolutionary Extreme Learning Machine For Electricity Price Forecast, Chixin Xiao, Zhao Y. Dong, Yan Xu, Ke Meng, Xun Zhou, Xin Zhang
Faculty of Engineering and Information Sciences - Papers: Part A
Electricity price forecast is of great importance to electricity market participants. Given the sophisticated time-series of electricity price, various approaches of extreme learning machine (ELM) have been identified as effective prediction approaches. However, in high dimensional space, evolutionary extreme learning machine (E-ELM) is time-consuming and difficult to converge to optimal region when just relying on stochastic searching approaches. In the meanwhile, due to the complicated functional relationship, objective function of E-ELM seems difficult also to be mined directly for some useful mathematical information to guide the optimum exploring. This paper proposes a new differential evolution (DE) like algorithm to enhance …
Learning Network Storage Curriculum With Experimental Case Based On Embedded Systems, Qingguo Zhou, Jiong Wu, Ting Wu, Jun Shen, Rui Zhou
Learning Network Storage Curriculum With Experimental Case Based On Embedded Systems, Qingguo Zhou, Jiong Wu, Ting Wu, Jun Shen, Rui Zhou
Faculty of Engineering and Information Sciences - Papers: Part A
In this paper, we present an experimental case for the course of "Network Storage and Security," which benefited from an improved learning outcome for our students. The newly designed experiments-based contents are merged into the current course to help students obtain practical experiences about network storage. The experiments aim to build a network storage system based on available resources instead of any specialized network storage equipment. Technically, students can learn general practical knowledge of network storage on iSCSI (a network storage protocol based on IP technology) and also the technologies of embedded system. Through the experimental case, we found that …
Facilitating Student And Staff Engagement Across Multiple Offshore Campuses For Transnational Education Using An Immersive Video Augmented Learning Platform, Sasha Nikolic, Wanqing Li
Facilitating Student And Staff Engagement Across Multiple Offshore Campuses For Transnational Education Using An Immersive Video Augmented Learning Platform, Sasha Nikolic, Wanqing Li
Faculty of Engineering and Information Sciences - Papers: Part A
Opportunities in transnational education have been growing across the higher education sector. The incentive for institutions to explore opening offshore satellite campuses includes access to more students and building the institutions reputation across the globe. A number of risks are also associated with transnational education, especially in terms of quality. It is important that students across all campuses receive the same high standard of education. That is, students at offshore campuses should not be placed at a disadvantage compared to students studying at the institutions main campus. This paper explores the possibility of providing students from offshore campuses better access …