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Waters, Andrew; Studer, Christoph; Baraniuk, Richard – Journal of Educational Data Mining, 2014
Identifying collaboration between learners in a course is an important challenge in education for two reasons: First, depending on the courses rules, collaboration can be considered a form of cheating. Second, it helps one to more accurately evaluate each learners competence. While such collaboration identification is already challenging in…
Descriptors: Cooperation, Large Group Instruction, Online Courses, Probability
Bernier, Jose – ProQuest LLC, 2009
The goal of this study is to investigate the relationship between the preferred learning styles of professional pharmacy students and their performance/success in a hybrid PharmD pharmacy program making extensive use of online content. Consequently, the study will look for early detection factors which can impact the performance of the student…
Descriptors: Electronic Learning, Cognitive Style, Online Courses, Pharmacy
Nandeshwar, Ashutosh R. – ProQuest LLC, 2010
In the modern world, higher education is transitioning from enrollment mode to recruitment mode. This shift paved the way for institutional research and policy making from historical data perspective. More and more universities in the U.S. are implementing and using enterprise resource planning (ERP) systems, which collect vast amounts of data.…
Descriptors: Higher Education, Institutional Research, Graduation Rate, Program Effectiveness
Doyle, Kenneth O., Jr. – New Directions for Institutional Advancement, 1979
The vocabulary of sampling is examined in order to provide a clear understanding of basic sampling concepts. The basic vocabulary of sampling (population, probability sampling, precision and bias, stratification), the fundamental grammar of sampling (random sample), sample size and response rate, and cluster, multiphase, snowball, and panel…
Descriptors: Data Analysis, Data Collection, Definitions, Higher Education
Maxwell, Martha – 1998
Simple Bayesian approaches can be applied to answer specific questions in evaluating an individualized reading program. A small reading and study skills program located in the counseling center of a major research university collected and compiled data on student characteristics such as class, number of sessions attended, grade point average, and…
Descriptors: Bayesian Statistics, Data Collection, Decision Making, Higher Education
Sullivan, Mary M. – 1993
Traditional elementary statistics instruction for non-majors has focused on computation. Rarely have students had an opportunity to interact with real data sets or to use questioning to drive data analysis, common activities among professional statisticians. Inclusion of data gathering and analysis into whole class and small group activities…
Descriptors: Constructivism (Learning), Data Collection, Discussion (Teaching Technique), Higher Education
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