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Full-Text Articles in Social and Behavioral Sciences
Using Data Mining For Predicting Relationships Between Online Question Theme And Final Grade, M'Hammed Abdous, Wu He, Cherng-Jyh Yen
Using Data Mining For Predicting Relationships Between Online Question Theme And Final Grade, M'Hammed Abdous, Wu He, Cherng-Jyh Yen
Information Technology & Decision Sciences Faculty Publications
As higher education diversifies its delivery modes, our ability to use the predictive and analytical power of educational data mining (EDM) to understand students' learning experiences is a critical step forward. The adoption of EDM by higher education as an analytical and decision making tool is offering new opportunities to exploit the untapped data generated by various student information systems (SIS) and learning management systems (LMS). This paper describes a hybrid approach which uses EDM and regression analysis to analyse live video streaming (LVS) students' online learning behaviours and their performance in their courses. Students' participation and login frequency, as …
Introduction: Advances In E-Business Engineering, Shoubo Xu, Li Da Xu, Josef Basl
Introduction: Advances In E-Business Engineering, Shoubo Xu, Li Da Xu, Josef Basl
Information Technology & Decision Sciences Faculty Publications
(First Paragraph) E-business is one of the most exciting and challenging research areas. Today, not only large companies, but also medium or small-sized companies are learning that e-business is a required component of doing business. E-business has rapidly evolved in the last decade and this trend will continue. In this rapid process, a variety of e-business engineering methods and techniques have been developed. There are many research issues needed to be addressed. As a result, there is a growing demand for insights into challenges, issues, and solutions related to the design, implementation, and management of e-business systems.