The "institutional databases audit" addresses common challenges of retention research by viewing existing databases and key surveys as resources for analyzing persistence rates. Such an audit helps verify whether student database elements have theoretically derived research referents. Positive results show that institutions can acquire…

While universities routinely use student data to monitor and predict student performance, there has been limited engagement with student and staff views, social and ethical issues, policy development, and ethical guidance. We reviewed peer-reviewed and grey-literature articles of 2007 to 2018 describing the perspectives of staff and students in…

Data modeling is an essential part of IT studies. Learning how to design and structure a database is important when storing data in a relational database and is common practice in the IT industry. Most students need much practice and tutoring to master the skill of data modeling and database design. When a student is in a learning process,…

Recently organizations have begun to realize the potential value in the huge amounts of raw, constantly fluctuating data sets that they generate and, with the help of advances in storage and processing technologies, collect. This leads to the phenomenon of big data. This data may be stored in structured format in relational database systems, but…

Since biomedical science has become increasingly data-intensive, acquisition of computational and quantitative skills by science students has become more important. For non-science students, an introduction to biomedical databases and their applications promotes the development of a scientifically literate population. Because typical college…

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…

Although previous research has demonstrated learning benefits for both instructors and students in the web-based collaborative learning environments, one of them major difficulties is the lack of a practical approach to assist teachers in evaluating the knowledge contribution of learners. A novel method of merging multi-modes of assessment and…

This chapter describes the National Student Clearinghouse and discusses opportunities and challenges for tracking community college students. It also presents a system perspective on using clearinghouse data to promote more comprehensive student and graduate tracking. (Contains 2 tables.)

This chapter examines lessons learned by states that are using student unit record (SUR) data to improve outcomes for community college students and recommends steps states can take to strengthen their use of SUR databases to benefit students and communities. (Contains 1 exhibit.)

Many higher education institutions are focusing on their admissions operations. They are attempting to ensure a steady stream of enrolling students, and/or attempting to ensure the quality or composition of their entering classes. However, many colleges have not developed a comprehensive method of tracking student cohorts, measuring retention, and…

The Association Supporting Computer Users in Education (ASCUE) is a group of people interested in small college computing issues. It is a blend of people from all over the country who use computers in their teaching, academic support, and administrative support functions. ASCUE has a strong tradition of bringing its members together to pool their…

This study evaluated the first phase of a three-phase project to improve baccalaureate achievement rates of minority students in Colorado. The activities of the first phase included gathering more and better data on the progress of students, analyzing those data, and using that analysis to choose and visit institutions that seem to be succeeding…