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Herrmann, Kim Jesper; Bager-Elsborg, Anna; Parpala, Anna – Scandinavian Journal of Educational Research, 2017
While focus on quality in Danish higher education has been growing in recent years, limited attention has been devoted to developing and thoroughly validating instruments that allow collecting data about university students' perceptions of the teaching-learning environment. Based on data from a large sample of Danish university students, a Danish…
Descriptors: Educational Environment, Questionnaires, Learning Strategies, Outcome Measures
Kartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement

Almind, Tomas C.; Ingwersen, Peter – Journal of Documentation, 1997
Introduces the application of informetric methods to the World Wide Web (Webometrics). Presents a case study comparing the number of specific informetric analysis parameters of Denmark, Sweden, and Norway on the Web. Concludes that problems with data collection occur because current tools are inadequate and because collection methods, manual and…
Descriptors: Case Studies, Data Collection, Foreign Countries, Research Problems
Allerup, Peter – 1985
Approximately 1200 Danish school children aged 8, 11, and 14 participated in a questionnaire study under the caption, "Why I like to read." Data from Denmark formed part of an international study, in which 12 other countries used the same questionnaire to explore various functions of reading and to compare them over different countries.…
Descriptors: Data Collection, Elementary Education, Factor Analysis, Foreign Countries