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Arndt, Timothy; Guercio, Angela – International Association for Development of the Information Society, 2014
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…
Descriptors: Higher Education, College Students, Postsecondary Education, Data Collection
Cashin, William E.; Slawson, Hugh M. – 1977
The data and computational procedures used by the IDEA system at Kansas State University (during the 1976-77 academic year) to interpret ratings of teacher performance are described in this technical report. The computations for each of the seven parts (evaluation, course description, students' self ratings, methods, additional questions,…
Descriptors: College Faculty, College Instruction, College Students, Comparative Analysis
Cashin, William E.; Slawson, Hugh M. – 1977
The data and computational procedures used by the IDEA System during the 1977-78 academic year at Kansas State University to interpret ratings of teacher performance are described in this technical report. The computations for each of the seven parts (evaluation, course description, students' self-ratings, methods, additional questions, diagnostic…
Descriptors: College Faculty, College Instruction, College Students, Comparative Analysis
Cashin, William E.; Perrin, Bruce M. – 1978
The data and computational procedures used by the IDEA System to generate IDEA Reports from information collected on the Standard Form of the IDEA Survey Form are described in this technical report. The computations for each of the seven parts of the IDEA Report are explained. The data base used for this 1978-79 Kansas State University study…
Descriptors: College Faculty, College Instruction, College Students, Comparative Analysis