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There are many students learning their academic studies via on-line education platform with many learning materials; however, how to select learning materials that exactly fit to their competence is not easy for them. This paper proposes an intelligent adaptive assessment platform (IAAP) to allow students to do adaptive testing to assess their learning ability. Additionally, this paper also proposes...
This paper studies the design of the novel optometrical examination of single pole brainwave system which measure visual brainwave signals of patients with expressive language disorder by single pole brainwave acquisition device, vision tester and software. The honeycomb pattern of Snellen test chart is an eye chart that can be used to measure the visual brainwave signals of the refractive error....
In this paper, we present a driving license test APP system for traffic education. The system provides learning materials and the adaptive simulation quiz. Questions in the quiz are individually generated according to the user profile and the designed boosting algorithm. The experimental result revealed that our APP system showed statistically significant better score in the driving license exam.
Big sensor data is prevalent in both industry and scientific research applications where the data is generated with high volume and velocity it is difficult to process using on-hand database management tools or traditional data processing applications. Cloud computing provides a promising platform to support the addressing of this challenge as it provides a flexible stack of massive computing, storage,...
Reading news is one of the most important learning activities in the education of the communication schools. Learners learn to improve the awareness and writing essay ability through observing contents inside the news. How to create the learning materials in a short time is still a gap between traditional communication education and information technology. In addition, the most challenge is that there...
Online news provides a convenient way for users to read novel news. Building online news corpus is important to many text mining and data mining issues. The creation of web news data required to construct a set of HTML parsing rules to identify content text. When a website rapidly change the layout style, the parsing rules (wrapper) should be reconstructed. In this paper, we address this issue and...
Most of the researches on text categorization are focus on using bag of words. Some researches provided other methods for classification such as term phrase, Latent Semantic Indexing, and term clustering. Term clustering is an effective way for classification, and had been proved as a good method for decreasing the dimensions in term vectors. We used hierarchical term clustering and aggregating similar...
This paper proposes an improved particle swarm optimization (PSO) for data clustering. In order to increase the efficiency, suggestions on parameter settings is made and a mechanism is designed to prevent particles fall into the local optimal. To evaluate its effectiveness and efficiency, this approach is applied to data clustering problem. The proposed methods were tested on nine datasets, and their...
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