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Gál-Szabó, Zsófia; Bede-Fazekas, Ákos – International Electronic Journal of Mathematics Education, 2020
Students' solutions of enumerative combinatorial problems may be assessed along two main dimensions: the correctness of the solution and the method of enumeration. This study looks at the second dimension with reference to the Cartesian product of two sets, and at the 'odometer' combinatorial strategy defined by English (1991). Since we are not…
Descriptors: Mathematics Instruction, Problem Solving, Classification, Learning Strategies
Kemper, Lorenz; Vorhoff, Gerrit; Wigger, Berthold U. – European Journal of Higher Education, 2020
We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…
Descriptors: Foreign Countries, Predictor Variables, Potential Dropouts, School Holding Power
Conger, Anthony J. – Educational and Psychological Measurement, 2017
Drawing parallels to classical test theory, this article clarifies the difference between rater accuracy and reliability and demonstrates how category marginal frequencies affect rater agreement and Cohen's kappa. Category assignment paradigms are developed: comparing raters to a standard (index) versus comparing two raters to one another…
Descriptors: Interrater Reliability, Evaluators, Accuracy, Statistical Analysis
Bendjebar, Safia; Lafifi, Yacine; Seridi, Hamid – International Journal of Web-Based Learning and Teaching Technologies, 2016
In e-learning systems, the tutors play many roles and carry out several tasks that differ from one system to another. The activity of tutoring is influenced by many factors. One factor among them is the assignment of the appropriate profile to the tutor. For this reason, the authors propose a new approach for modeling and evaluating the function…
Descriptors: Electronic Learning, Teaching Methods, Classification, Student Needs
Srba, Ivan; Bielikova, Maria – IEEE Transactions on Learning Technologies, 2015
In the current time of globalization, collaboration among people in virtual environments is becoming an important precondition of success. This trend is reflected also in the educational domain where students collaborate in various short-term groups created repetitively but changing in each round (e.g. in MOOCs). Students in these kind of dynamic…
Descriptors: Cooperative Learning, Online Courses, Group Dynamics, Feedback (Response)
Cetintas, Suleyman; Si, Luo; Xin, Yan Ping; Zhang, Dake; Park, Joo Young; Tzur, Ron – Journal of Educational Data Mining, 2010
Estimating the difficulty level of math word problems is an important task for many educational applications. Identification of relevant and irrelevant sentences in math word problems is an important step for calculating the difficulty levels of such problems. This paper addresses a novel application of text categorization to identify two types of…
Descriptors: Probability, Word Problems (Mathematics), Classification, Difficulty Level
Peer reviewedLosee, Robert M. – Information Processing & Management, 1997
Proposes a model for digital library and hypermedia organizations that is adaptive, providing different conceptual orderings to support browsing for different individuals' or groups' needs. Highlights include types of links, document ordering and the Gray code (a binary programming code), adaptive classification, and an economic model for document…
Descriptors: Classification, Documentation, Electronic Libraries, Hypermedia
Peer reviewedPlomin, Robert; Daniels, Denise – Merrill-Palmer Quarterly, 1984
Discusses the concept of temperament interactions in the context of statistical interaction. Categorizes temperament interactions that involve temperament as an independent variable, as a dependent variable, or as both. Describes use of hierarchical multiple regression for the analysis of temperament interactions. (Author/CI)
Descriptors: Classification, Environmental Influences, Family Environment, Hypothesis Testing
McCullough, Philip N.; Andrews, Grover J. – 1978
In the design and implementation of the Council on Postsecondary Accreditation's (COPA) Project to Develop Evaluative Criteria and Procedures for the Accreditation of Nontraditional Education, a taxonomy for the classification and determination of the nature of nontraditional institutions has been developed. The objective of the study was to…
Descriptors: Admission Criteria, Advanced Placement, Classification, College Curriculum

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