Educational Data Mining is an emerging discipline which seeks to develop methods to explore large amounts of data from educational settings, in order to understand students' behavior, interests and results in a better way. In recent years there have been various works related to this specialty and multiple data mining techniques derived from this…

Although traditional methods to collect similarity data (for multidimensional scaling [MDS]) are robust, they share a key shortcoming. Specifically, the possible pairwise comparisons in any set of objects grow rapidly as a function of set size. This leads to lengthy experimental protocols, or procedures that involve scaling stimulus subsets. We…

This appendix accompanies the report "Taking the Lead in Science Education: Forging Next-Generation Science Standards. International Science Benchmarking Report," a study conducted by Achieve to compare the science standards of 10 countries. This appendix includes the following: (1) PISA and TIMSS Assessment Rankings; (2) Courses and…

A total of 61 children from first through sixth grades participated in four balance-scale and four inclined-plane problem types in a study testing for invariance of subject classifications as rule-users across problems whose products differed but whose type did not. Results indicated that many children's classifications differed across…

Illustrates the use of forced classification for assessing student solutions to ill-structured problems. The analysis, applied to discussions by children of a social problem, consists of content categorization; quality ratings within content categories; and categorical discriminant analysis, with student grade and judged quality as discriminating…

The fundamental question in creating coding categories for an open-ended questionnaire is how to transform a complete transcript into manageable pieces of data. This paper describes the methodology involved in coding qualitative data derived from an evaluation of the Cognitive Approaches to School Leadership (CASL) program. The first task was to…

An attempt at defining and describing those factors which most often jeopardize the validity of naturalistic behavioral data is presented. A number of investigations from many laboratories which demonstrate these methodological problems are reviewed. Next, suggestions, implementations, and testing of effectiveness of various solutions to these…

Presents an overview of the four component parts of the activity of problem solving. These are the types of problems to be solved, the necessary prerequisites, the strategies, and the elements used in applying the strategies. (HM)

The nature of cluster analysis and dendograms, subjects, tasks, and results of this study are described. Categories for problems were based on assumptions about the methods used by novice and expert problem solvers in a physics context. (CW)

Explains the use of contingency tables as a tool in assessing variables to determine whether a relationship exists. Develops an example hypothesis step-by-step, noting the scientific processes and attitudes being addressed. Cautions that a large difference, which suggests a relationship, is not explanation since correlation does not guarantee…

To generate a useful means of analyzing think-aloud protocols of individual students, and to determine the extent to which practical information might be derived from transcripts and videotapes, this project focused on the problem-solving behaviors of 17 sixth-grade students videotaped while solving routine textbook word problems. Using a…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…

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…