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Mathies, Charles; Valimaa, Jussi – Tertiary Education and Management, 2013
Recent changes in European higher education have accompanied a strong desire and need by national ministries to have comparable data across institutions and a growing recognition from campus leaders that effective planning and decision-making requires reliable institutional data and analyses. This has induced changes and restructuring of duties…
Descriptors: Higher Education, Institutional Evaluation, Governance, Data Analysis
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Yu, Chong Ho; Jannasch-Pennell, Angel; DiGangi, Samuel – Qualitative Report, 2011
The objective of this article is to illustrate that text mining and qualitative research are epistemologically compatible. First, like many qualitative research approaches, such as grounded theory, text mining encourages open-mindedness and discourages preconceptions. Contrary to the popular belief that text mining is a linear and fully automated…
Descriptors: Grounded Theory, Qualitative Research, Content Analysis, Information Retrieval
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Day, James; Bonn, Doug – Physical Review Special Topics - Physics Education Research, 2011
The Concise Data Processing Assessment (CDPA) was developed to probe student abilities related to the nature of measurement and uncertainty and to handling data. The diagnostic is a ten question, multiple-choice test that can be used as both a pre-test and post-test. A key component of the development process was interviews with students, which…
Descriptors: Multiple Choice Tests, Test Reliability, Physics, Item Analysis
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Valencia-Garcia, Rafael; Garcia-Sanchez, Francisco; Casado-Lumbreras, Cristina; Castellanos-Nieves, Dagoberto; Fernandez-Breis, Jesualdo Tomas – Behaviour & Information Technology, 2012
The advent of Web 2.0, also called the Social Web, has changed the way people interact with the Web. Assisted by the technologies associated with this new trend, users now play a much more active role as content providers. This Web paradigm shift has also changed how companies operate and interact with their employees, partners and customers. The…
Descriptors: Web Sites, Informal Education, Electronic Publishing, Semantics
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D'Allegro, Mary Lou; Kerns, Stefanie – Journal of College Student Retention: Research, Theory & Practice, 2011
Data mining and statistical analyses at a less selective institution reveal that the relationships between parents' educational level and some first year success indicators are not linear. Specifically, students who report that either parent or guardian(s) have an educational level beyond a baccalaureate degree or do not report parent education…
Descriptors: First Generation College Students, Educational Attainment, Data Processing, Pattern Recognition
West, Darrell M. – Brookings Institution, 2012
Twelve-year-old Susan took a course designed to improve her reading skills. She read short stories and the teacher would give her and her fellow students a written test every other week measuring vocabulary and reading comprehension. A few days later, Susan's instructor graded the paper and returned her exam. The test showed that she did well on…
Descriptors: Data Processing, Internet, Pattern Recognition, Data Analysis
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Grover, Lovleen Kumar; Mehra, Rajni – Journal of Statistics Education, 2008
The field of Data Mining like Statistics concerns itself with "learning from data" or "turning data into information". For statisticians the term "Data mining" has a pejorative meaning. Instead of finding useful patterns in large volumes of data as in the case of Statistics, data mining has the connotation of searching for data to fit preconceived…
Descriptors: Statistics, Data Processing, Differences, Mathematics Education
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Vitinš, Maris; Rasnacs, Oskars – Informatics in Education, 2012
Information and communications technologies today are used in virtually any university course when students prepare their papers. ICT is also needed after people are graduated from university and enter the job market. This author is an instructor in the field of informatics related to health care and social sciences at the Riga Stradins…
Descriptors: Educational Technology, Assignments, Information Science, Data Processing
Vialardi, Cesar; Bravo, Javier; Shafti, Leila; Ortigosa, Alvaro – International Working Group on Educational Data Mining, 2009
One of the main problems faced by university students is to take the right decision in relation to their academic itinerary based on available information (for example courses, schedules, sections, classrooms and professors). In this context, this work proposes the use of a recommendation system based on data mining techniques to help students to…
Descriptors: Data Analysis, Higher Education, Course Selection (Students), Enrollment
Michalski, Greg V. – Association for Institutional Research (NJ1), 2011
Excessive college course withdrawals are costly to the student and the institution in terms of time to degree completion, available classroom space, and other resources. Although generally well quantified, detailed analysis of the reasons given by students for course withdrawal is less common. To address this, a text mining analysis was performed…
Descriptors: College Instruction, Courses, Withdrawal (Education), College Students
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Kovacevic, Aleksandar; Ivanovic, Dragan; Milosavljevic, Branko; Konjovic, Zora; Surla, Dusan – Program: Electronic Library and Information Systems, 2011
Purpose: The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS). Design/methodology/approach: The system is based on machine learning and performs automatic extraction…
Descriptors: Scientific Research, Library Administration, Classification, Information Science
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Yang, Shui-Ping – Journal of Chemical Education, 2007
This article describes an experiment using a novel gasometric assembly to determine the thickness and number of atomic layers of zinc coating on galvanized iron substrates. Students solved this problem through three stages. In the first stage, students were encouraged to find a suitable acidic concentration through the guided-inquiry approach. In…
Descriptors: Problem Solving, Laboratories, Data Processing, Chemistry
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Akdemir, Omur; Oguz, Ayse – Computers & Education, 2008
Virtually errorless high speed data processing feature has made computers popular assessment tools in education. An important concern in developing countries considering integrating computers as an educational assessment tool before making substantial investment is the effects of computer-based testing on students' test scores as compared to…
Descriptors: Undergraduate Students, Educational Assessment, Computer Assisted Testing, Computers
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Valcik, Nicolas A.; Stigdon, Andrea D. – New Directions for Institutional Research, 2008
Although institutional researchers devote a great deal of time mining and using student data to fulfill mandatory federal and state reports and analyze institutional effectiveness, financial and personnel information is also necessary for such endeavors. In this article, the authors discuss the challenges that arise from extracting data from…
Descriptors: Institutional Research, Educational Finance, Barriers, Personnel Data
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Gondek, Paul C. – Educational and Psychological Measurement, 1981
This paper discusses considerations in the unwary use of packaged discriminant analysis procedures including: the differences between the "group classification function" and the textbook classification function in both form and use, classification table confusions and their alleviation, and the hazards of stepping procedures. (Author/BW)
Descriptors: Computer Programs, Data Processing, Discriminant Analysis, Multivariate Analysis
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