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Smith, William L.; Zhang, Pidi – College Student Journal, 2009
This paper investigates one aspect of the transition of students from high school to college. It assesses whether students who had an academic ethic in high school performed better in their first semester of college than students who did not possess an academic ethic in high school. Survey data were collected from students at a medium-sized state…
Descriptors: High Schools, Developmental Continuity, School Orientation, Higher Education
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals

Hyatt, S. Aaron – Planning for Higher Education, 1980
A Western Carolina experiment examined what kinds of data could be obtained from students that could (1) help make physical facility planning more objective and factual and (2) determine what the academic or learning consequences of these decisions might be. Focus was on student use of time and facilities. (Author/MLW)
Descriptors: Academic Achievement, College Students, Data Analysis, Facility Planning
Pace, Ann J.; And Others – 1986
An earlier study found virtually no relationship between college students' reported studying practices and various tests of reading comprehension, so a second study investigated whether different results would be obtained with an instrument based on study strategies college students actually reported using. Scores on this instrument were to be…
Descriptors: Academic Achievement, Advance Organizers, Content Area Reading, Data Analysis

Van Rossum, E. J.; Schenk, Simone M. – British Journal of Educational Psychology, 1984
Discusses methodology and results of a study which uses the distinction between deep-level and surface-level approach, to examine the way first-year psychology students tackle studying of a text, and extent to which these study strategies are related to student views on learning conceptions and the quality of learning outcome. (MBR)
Descriptors: Cognitive Style, College Students, Data Analysis, Educational Research

Marland, Percy; And Others – Distance Education, 1984
Describes a process-tracing study which investigated study approaches adopted by four distance learners enrolled in the Bachelor of Education Program at James Cook University and their mental processes when learning from distance-teaching materials in order to identify textual features which activated mental processes for use in textual design.…
Descriptors: Cognitive Processes, Data Analysis, Design Requirements, Distance Education
Wirt, John; Choy, Susan; Gerald, Debra; Provasnik, Stephen; Rooney, Patrick; Watanabe, Satoshi; Tobin, Richard; Glander, Mark – National Center for Education Statistics, 2001
To ensure reliable, accurate, and timely data, which are necessary to monitor the progress of education in the United States, Congress has mandated that the National Center for Education Statistics (NCES) produce an annual report, "The Condition of Education." This year's report presents 59 indicators of important developments and trends…
Descriptors: Annual Reports, School Statistics, Educational Trends, Educational Indicators
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers