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Huang, Tony Cheng-Kui; Huang, Chih-Hong – Computers & Education, 2010
With advances in information and network technologies, lots of data have been digitized to reveal information for users by the construction of Web sites. Unfortunately, they are both overloading and overlapping in Internet so that users cannot distinguish their quality. To address this issue in education, Hwang, Huang, and Tseng proposed a group…
Descriptors: Web Sites, Intention, Internet, Evaluation Methods
A New Student Performance Analysing System Using Knowledge Discovery in Higher Educational Databases
Guruler, Huseyin; Istanbullu, Ayhan; Karahasan, Mehmet – Computers & Education, 2010
Knowledge discovery is a wide ranged process including data mining, which is used to find out meaningful and useful patterns in large amounts of data. In order to explore the factors having impact on the success of university students, knowledge discovery software, called MUSKUP, has been developed and tested on student data. In this system a…
Descriptors: Income, Computer Software, Databases, Data Analysis
Chow, Meyrick; Chan, Lawrence – Computers & Education, 2010
Information technology (IT) has the potential to improve the clinical learning environment. The extent to which IT enhances or detracts from healthcare professionals' role performance can be expected to affect both student learning and patient outcomes. This study evaluated nursing students' satisfaction with a novel compartmental Picture…
Descriptors: Nursing Students, Nursing Education, Visualization, Biomedicine
Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction