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Galyardt, April; Goldin, Ilya – Journal of Educational Data Mining, 2015
In educational technology and learning sciences, there are multiple uses for a predictive model of whether a student will perform a task correctly or not. For example, an intelligent tutoring system may use such a model to estimate whether or not a student has mastered a skill. We analyze the significance of data recency in making such…
Descriptors: Achievement Rating, Performance Based Assessment, Bayesian Statistics, Data Analysis
Risquez, Angelica; Raftery, Damien; Costello, Eamon – British Journal of Educational Technology, 2015
The Irish inter-institutional virtual learning environments (VLEs) open dataset stems from ongoing work with a rolling longitudinal survey of students' usage of VLEs which has been ongoing in 12 higher education institutions since 2008. The project has collected over 21,000 student responses to date through the growth of an extended network of…
Descriptors: Foreign Countries, Virtual Classrooms, Educational Environment, Student Attitudes
Kadijevich, Djordje M. – British Journal of Educational Technology, 2015
Because the relationship between computer use and achievement is still puzzling, there is a need to prepare and analyze good quality datasets on computer use and achievement. Such a dataset can be derived from TIMSS data. This paper describes how this dataset can be prepared. It also gives an example of how the dataset may be analyzed. The…
Descriptors: Mathematics Achievement, Computer Use, Test Items, Problem Sets
White, Joshua S.; Maskiewicz, April C. – American Biology Teacher, 2014
Using a design-based research approach, we developed a data-rich problem (DRP) set to improve student understanding of cellular respiration at the ecosystem level. The problem tasks engage students in data analysis to develop biological explanations. Several of the tasks and their implementation are described. Quantitative results suggest that…
Descriptors: Metabolism, Cytology, Molecular Biology, Data Analysis
du Feu, Chris – Teaching Statistics: An International Journal for Teachers, 2012
Practical project work based on eBay selling prices is described. It is suitable for secondary school students of a wide range of statistical expertise and it may be used to introduce a statistical package. (Contains 4 figures and 5 tables.)
Descriptors: Secondary School Students, Class Activities, Statistics, Science Course Improvement Projects
Pardos, Zachary A.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collected in many ITS systems consist of answers to a group of questions of a given skill often presented in a random sequence. Following work that identifies which items…
Descriptors: Data Analysis, Bayesian Statistics, Statistical Analysis, Problem Sets
Cox, John C.; Webster, Robert L.; Hammond, Kevin L. – American Journal of Business Education, 2009
This study investigates the use of using complexity theory--the study of nonlinear dynamical systems of which chaos and catastrophe theory are subsets--in the analysis of a non temporal data set to derive valuable insights into the functioning of university schools of business. The approach is unusual in that studies of nonlinearity in complex…
Descriptors: Business Administration Education, Educational Theories, Problem Sets, Problem Solving
Peer reviewedConway, Freda – Mathematics in School, 1977
The author gives a variety of literary questions and exercises that can be used to develop and test students' interpretation of the mean, median, and mode and their understanding of the usefulness and limitations of each. (MN)
Descriptors: Data Analysis, Elementary Secondary Education, Instructional Materials, Mathematical Applications
Peer reviewedKnight, Carol A.; Scholnick, Ellin Kofsky – Child Development, 1973
Groups trained to compare the whole and subset improved in cue identification from negative instances; performance in the stimulus exposure group declined. (Authors)
Descriptors: Cognitive Processes, Concept Formation, Cues, Data Analysis
Dominowski, Roger L. – Journal of Experimental Psychology, 1972
Results were interpreted in terms of an initial tendency for Ss to guess in order of frequency followed by a change to guessing words at the appropriate frequency level. (Author)
Descriptors: Data Analysis, Difficulty Level, Guessing (Tests), Organization
Peer reviewedSterrett, A.; Karian, Z. A. – American Mathematical Monthly, 1978
Statistical laboratory exercises designed to promote better understanding of statistical concepts in an introductory non-calculus statistics course are illustrated. The exercises make extensive use of data that are individually generated by tables of random digits or by computer. (MN)
Descriptors: College Mathematics, Computer Assisted Instruction, Data Analysis, Data Collection
Peer reviewedBankard, Dianne; Fennell, Francis – Arithmetic Teacher, 1991
The focus here is on the students' uses for numbers in both school and home settings. The included activities emphasize a growth and development theme involving various aspects of data collection, data interpretation, probability, and statistics. Also included are parent-child extended activity worksheets. (JJK)
Descriptors: Data Analysis, Data Collection, Elementary Education, Elementary School Mathematics
Groth, Randall E. – Journal of Mathematical Behavior, 2005
The study describes students' patterns of thinking for statistical problems set in two different contexts. Fifteen students representing a wide range of experiences with high school mathematics participated in problem-solving clinical interview sessions. At one point during the interviews, each solved a problem that involved determining the…
Descriptors: Mathematics Education, Problem Sets, Statistical Data, Data Analysis
Taylor, Charles; Tanter, Raymond – 1971
As presented in this report the basic purpose of CAIR (Computer-Aided International Relations Teaching) is to introduce university students and policy analysts in government agencies to substantive data analysis in the field of international studies. The student will be exposed to quantitative political science, learn the role and limitations of…
Descriptors: Computer Assisted Instruction, Computer Oriented Programs, Conflict Resolution, Data Analysis

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