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Background
An innovative and interactive real‐world environment can be presented with augmented reality (AR) that comprises digital visual elements, audio, or other sensory information delivered via technology to enhance one's experience. AR has numerous potential applications in various everyday fields. The education sector is one such arena where AR has been implemented prominently globally. AR...
In academic institutions it is normal practice that at the end of each term, students are required to complete a questionnaire that is designed to gather students' perceptions of the instructor and their learning experience in the course. This questionnaire comprises of Likert-scale questions and qualitative questions. One of the important goals of this exercise is to enable the instructor and the...
The ability of students to retain information for future use is worthwhile in any subject. Specifically, it is essential in IT because concepts are built upon each other as a student progresses through a curriculum and courses. In this paper, we propose a mobile-based micro learning approach to help students to retain more knowledge and skills, and support classroom learning. The idea is to chunk...
Data mining is also known as Knowledge Discovery in Database (KDD). It is also defined as the process which includes extracting the interesting, interpretable and useful information from the raw data. There are different sources that generate raw data in very large amount. This is the main reason the applications of data mining are increasing rapidly. This paper reviews data mining techniques and...
Educational Data Mining is a prominent area to explore information in educational fields using data mining algorithms. In this paper we have used few learning algorithms to effectively rate the faculty belonging to an educational institute on the basis of feedback submitted by the students. Our proposed model uses sentimental analysis and machine learning classifier algorithms for capturing the emotions...
This paper proposes a combination of data mining and natural language processing technology, try to analyze students' learning behavior and content in MOOCs interactive part, to dig their learning interest, difficulty, tendencies, to evaluate their homework effect, through the interaction between teachers and students, students posting, homework or answer content, preventing of cheating behavior,...
Internet has become the world's largest information repository, especially the explosive growth of the text data on the web, the disadvantages that it need much more time to acquire and update web pages, and is not high precision have become more obvious. The text mining algorithm based on focused crawler is proposed in this paper, it classifies and integrates the whole web pages by topic using topic...
Wikis are widely used collaborative environments as sources of information and knowledge. The facilitate students to engage in collaboration and share information among members and enable collaborative learning. In particular, Wikis play an important role in capstone projects. Wikis aid in various project related tasks and aid to organize information and share. Mining project Wikis is critical to...
Nowadays, news are available ubiquitously in heterogeneous forms, from both offline and online sources. An example of offline news resource includes newspaper which contains only text and pictures. Online news articles have recently emerged to enhance news consuming experiences, such as embedding videos to allow readers to illustrate real situations. However, to read news articles online, users may...
The massive online open course (MOOC) revolution offers opportunities for learning analytics regarding the diversity in learning activities of MOOCs. In MOOCs, video lectures represent the principal learning resource, and learners spend most of their time engaged in self-paced, independent learning. Therefore, MOOCs present an innovative form of video-based learning. How to improve this learning environment...
A study of educational approaches to higher education computing curricula using publicly available data from a representative sample of 27 public colleges in the State University of New York (SUNY) system is performed. Data and text analysis techniques were applied to a corpus built from course descriptions and listed prerequisites across school, department, school type (2- or 4- year or graduate)...
Three-dimensional virtual worlds have been studied by many researchers around the world, including in educational contexts. A range of possibilities have emerged from this type of environment, such as improvements in distance education and other educational technologies. But there are some problems related to the use of this environment, such as complex authorship tools, which need to be discussed...
In this paper we discuss the case study approach to learning Text Mining techniques. We propose a novel framework that supports case-based learning and implements the SMART-goal setting methodology.
Semantic analysis among knowledge units in the text is a very interesting problem in numerous applications. Beside the semantic relationships expressed in the text, relationships are also encoded in knowledge structures in our brains. However, the relationships among knowledge units are highly sophisticated and require a human judgment. In this paper, we propose a Graph-Tringluarity-based system for...
The adoption of social media has been increasing in recent years and organizations are now starting to take interest into how to use the user-generated data from social media websites for their business advantage. So far, not much research has been done to aid businesses to strategically align their social media posts with their organizational goals. In this paper, using the Higher Education Sector...
In recent years, rapid increase in use of Blogs has provided excellent collaborative opportunity for knowledge sharing and forming Communities. This facilitates critical reflection and chat among users with similar interest by engendering a virtual community in blogosphere. The issue is, formation of such community mostly relies on mutual awareness or appropriate link communication. While, automatically...
In this paper, we conduct a preliminary study about a newly established course evaluation survey given to the students by our institution. This survey contains several free-text questions which generates more qualitative but also voluminous unstructured feedback compared to the previous Likert scale question-based survey. Our aim is to apply data mining techniques to extract knowledge from these surveys,...
With the rapid development of machine-learning and data-mining techniques, biclustering (co-clustering) has become an important and widespread technique in multiple areas such as gene expression analysis, text mining and market segmentation. In this work, we proposed an efficient co-clustering method named SVD-based hybrid pattern search (SHPS). It is a score-function-based method, and specifically...
With the development of Internet, people have entered the era of New Media, and the demand for intelligent information is more intense. How to make news industry, provide more personalized and efficient service for all walks of life, is something worth exploring. In this paper, we aim to analyze the performance of segmentation, which is the foundation of text classification. Our study describes the...
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