In this chapter we present social network analysis in the context of recent educational reforms concerning teachers’ instructional practices. Teachers are critical to the implementation of educational reforms, and teacher networks are important because teachers draw on local knowledge and conform to local norms as they implement new practices. We describe three social network approaches. First,...

Knowledge-based recommender systems comprise one category of user-modeling system that can draw inferences from user models. This brief paper contains a global description of a multi-faceted, educational, knowledge-based recommender system, including a basic set of descriptors that the model contains, a taxonomy of inferences that might be made over such models, and a listing of literature that...

Multilevel data are very common in educational research. Hierarchical linear models/linear mixed-effects models (HLMs/LMEs) are often utilized to analyze multilevel data nowadays. This paper discusses the problems of utilizing ordinary regressions for modeling multilevel educational data, compare the data analytic results from three regression techniques, and demonstrate the appropriate use of ...

Handheld devices are becoming more and more popular in education. Educational simulation and modelling are not new soil, but for handhelds they are still much under explored. Due to the difficulties teachers usually face in developing computer models and simulations and the lack of adequate tools for building them, we developed an authoring-tool for handheld educational simulation and modelling...

Educational process mining is an emerging field in the educational data mining (EDM) discipline, concerned with discovering, analyzing, and improving educational processes based on information hidden in datasets and logs. These data are recorded by educational systems in different forms and at different levels of granularity. Often, process discovery and analysis techniques applied in the educa...

German demographic or educational projections are conventionally based on macrosimulations. Macrosimulation models use average values of the simulation parameters to compute the updating process. Additionally, the proportions of educational graduate rates stay constant in these models. In this paper I introduce a discrete event microsimulation model which is designed to project the graduate rat...

This paper reports the modelling exercise of an educational information infrastructure that aims to support the organisation of teaching and learning activities suitable for a wide range of didactic policies. The modelling trajectory focuses on capturing invariant structures of relations between entities in educational organisation into Enterprise object models. An Educational Model Space has b...

Conventional regression analysis is typically used in educational research. Usually such an analysis implicitly assumes that a common set of regression parameter estimates captures the population characteristics represented in the sample. In some situations, however, this implicit assumption may not be realistic, and the sample may contain several subpopulations such as high math achievers and ...

Conventional regression analysis is typically used in educational research. Usually such an analysis implicitly assumes that a common set of regression parameter estimates captures the population characteristics represented in the sample. In some situations, however, this implicit assumption may not be realistic, and the sample may contain several subpopulations such as high math achievers and ...

1 Simon Fraser University, Canada. Email [email protected] 2 Simon Fraser University, Canada. Email: [email protected] 3 Simon Fraser University, Canada. Email: [email protected] Abstract. This paper discusses the role of context and ontologies in educational process modeling. Educational process modeling seeks to represent the complex interactions that take place in multi-actor learning environments, with ...