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Full-Text Articles in Engineering
Refinement And Augmentation For Data In Micro Learning Activity With An Evolutionary Rule Generators, Geng Sun, Jiayin Lin, Tingru Cui, Jun Shen, Dongming Xu, Mahesh Kayastha
Refinement And Augmentation For Data In Micro Learning Activity With An Evolutionary Rule Generators, Geng Sun, Jiayin Lin, Tingru Cui, Jun Shen, Dongming Xu, Mahesh Kayastha
Faculty of Engineering and Information Sciences - Papers: Part B
Improving both the quantity and quality of existing data are placed at the center of research for adaptive micro open learning. To cover this research gap, our work targets on the current scarcity of both data and rules that represent open learning activities. An evolutionary rule generator is constructed, which consists of an outer loop and an inner loop. The outer loop runs a genetic algorithm (GA) to produce association rules that can be effective in the micro open learning scenario from a small amount of available data sources; while the inner loop optimizes generated candidates by taking into account …
Investigating Sequence Patterns Of Collaborative Problem-Solving Behavior In The Online Collaborative Discussion Activity, Yafeng Zheng, Haogang Bao, Jun Shen, Xuesong Zhai
Investigating Sequence Patterns Of Collaborative Problem-Solving Behavior In The Online Collaborative Discussion Activity, Yafeng Zheng, Haogang Bao, Jun Shen, Xuesong Zhai
Faculty of Engineering and Information Sciences - Papers: Part B
Collaborative problem solving (CPS) is an influential human behavior affecting working performance and well-being. Previous studies examined CPS behavior from the perspective of either social or cognitive dimensions, which leave a research gap from the interactive perspective. In addition, the traditional sequence analysis method failed to combine time sequences and sub-problem sequences together while analyzing behavioral patterns in CPS. This study proposes a developed schema for the multidimensional analysis of CPS. A combination sequential analysis approach that comprises time sequences and sub-problem sequences is also employed to explore CPS patterns. A total of 191 students were recruited and randomly grouped …
Fabrication Of Heterostructured Uio-66-Nh2 /Cnts With Enhanced Activity And Selectivity Over Photocatalytic Co2 Reduction, Xiaojun Wang, Guorui Yang, Guodong Chai, Muhammad Nasir, Silan Wang, Xing Zheng, Caiyun Wang, Wei Yan
Fabrication Of Heterostructured Uio-66-Nh2 /Cnts With Enhanced Activity And Selectivity Over Photocatalytic Co2 Reduction, Xiaojun Wang, Guorui Yang, Guodong Chai, Muhammad Nasir, Silan Wang, Xing Zheng, Caiyun Wang, Wei Yan
Australian Institute for Innovative Materials - Papers
© 2020 Hydrogen Energy Publications LLC Developing photocatalysts with superior efficiency and selectivity is an important issue for photocatalytic converting CO2. Hierarchically heterostructured one-dimensional nanomaterials represent a kind of promising catalysts for photocatalytic CO2 reduction on account of the high surface area and synthetic effect between different components. Herein, we synthesized UIO-66-NH2/carbon nanotubes (CNTs) heterostructures via a hydrothermal method, and investigated their photocatalytic performance. The element mapping, X-ray diffraction, and X-ray photoelectron spectroscopy collectively confirmed that the UIO-66-NH2 was successfully loaded on the surface of the CNTs. The specific surface area of the UIO-66-NH2/CNTs is 1.5 times higher than that …