Presumptions of each data analysis are data themselves, regardless of the analysis focus (visit rate analysis, optimization of portal, personalization of portal, etc.). Results of selected analysis highly depend on the quality of analyzed data. In case of portal usage analysis, these data can be obtained by monitoring web server log file. We are able to create data matrices and web map based on these data which will serve for searching for behaviour patterns of users. Data preparation from the log file represents the most time-consuming phase of whole analysis. We realized an experiment so that we can find out to which criteria are necessary to realize this time-consuming data preparation. We aimed at specifying the inevitable steps that are required for obtaining valid data from the log file. Specially, we focused on the reconstruction of activities of the web visitor. This advanced technique of data preprocessing belongs to time consuming one. In the article we tried to assess the impact of reconstruction of activities of a web visitor on the quantity and quality of the extracted rules which represent the web users’ behaviour patterns

Understanding how software works and writing a program are currently frequent requirements when hiring employees. The complexity of learning programming often results in educational failures, student frustration and lack of motivation, because different students prefer different learning paths. Although e-learning courses have led to many improvements in the methodology and the supporting technology for more effective programming learning, misunderstanding of programming principles is one of the main reasons for students leaving school early. Universities face a challenging task: how to harmonise students’ education, focusing on advanced knowledge in the development of software applications, with students’ education in cases where writing code is a new skill. The article proposes a conceptual framework focused on the comprehensive training of future programmers using microlearning and automatic evaluation of source codes to achieve immediate feedback for students. This framework is designed to involve students in the software development of virtual learning environment software that will provide their education, thus ensuring the sustainability of the environment in line with modern development trends. The paper’s final part is devoted to verifying the contribution of the presented elements through quantitative research on the introductory parts of the framework. It turned out that although the application of interactive features did not lead to significant measurable progress during the first semester of study, it significantly improved the results of students in subsequent courses focused on advanced programming.

The paper introduces the proof of concept of the e-learning courses quality evaluation framework and its implementation into the quality assurance in higher education. We summarize general issues of the internal quality assurance. We pay more attention to the evaluation of the e-learning course quality framework itself in the context of Part 1 of European Standards and Guidelines for internal quality assurance within educational institution. Finally, we try to generalize found observations and create set of procedural rules.

The methods presented in this article were created to model and describe the behaviour of the web users of a bank institution web portal. The source dataset is represented by a log file of the commercial bank web server. The analysis is oriented on examining the behaviour of visitors over an extended period (2009-2012). The years 2009-2010 represent the years of the financial crisis, and the years 2011-2012 represent the years after the financial crisis. The following method describes the sequence of steps necessary to pre-process the raw log file and model the web user behaviour using the multinomial logit model. The introduced methods can be used also for other domains in the case of appropriate data preparation. • Data preparation- data cleaning, user/session identification, path completion, variables determination; • Data analysis- model definition, parameters estimation, logits estimation, probabilities estimation; • Results evaluation- comparison of empirical and theoretical values in term of counts, probabilities and logits.

The European Standards and Guidelines for Quality Assurance (ESG) present nowadays the most famous and frequently used documents in the field of quality assurance in higher education. The authors deal with the problem of ESG implementation at the university. They propose a model of support information system, which covers all parts defined in ESG. This model divides the problem of internal guidelines for quality assurance implementation into modules and schematically depicts their mutual relations. The authors discuss each module in detail and give reasons for their inclusion in the proposed model.