There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

Discusses level 3 evaluation from Donald Kirkpatrick's Four Level Evaluation Model (level: 1-reaction; 2-learning; 3-behavior; 4-results) to measure training program performance. Highlights include an evaluation planning matrix; increasing evaluation data accuracy and reliability; data collection method selection; designing data collection…

Describes a study comparing nine different methods of data collection with nine different kinds of data sought. Each was assigned a value on a scale of 0 to 5. The resulting chart indicates the method of collection having the highest probability of success for the purpose required. (Author/JEG)

Although the process of doing social network analysis (SNA) is similar to traditional research and evaluation design, it is in the details that the two traditions diverge. This article describes two areas of differences: (1) the framework for doing SNA; and (2) data collection, analysis, and specific measures. SNA is about relationships and how to…

One solution to the problem of obtaining test scores in order to assess multiple outcomes of educational programs is a basically simple technique called matrix sampling. Matrix sampling is the estimation of total test score statistics by administering random subsets of test items to randomly selected students. This chapter lays out the specific…

Multiple matrix sampling is a data collection technique that ensures accuracy and efficiency in group performance. It has been widely used in large-scale curriculum evaluation since the 1980s. However, the design does not always fully embrace the dynamics of local evaluation demands. The purpose of this study is to introduce a modified matrix…

This report on Phase IV, of a four-phase study, provided for the development of evaluation templates and instruments to be used by the California Department of Education to facilitate systematic assessment of state funded educational technology programs and projects. These assessment documents comprised the major data collection sources for the…

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…