The purpose of the publication is to present a web page validation approach that is part of a method for designing accessible web content. The validation approach is built on standards, principles, guidelines, success criteria and techniques for web content validation. The main standards to which the approach adheres are Web Content Accessibility Guidelines and Technical Specifications for Accessible Rich Internet Applications. The publication discusses the understanding of dynamic web content, dynamic web content design and implementation method and web content validation approach.

Learning Analytics (LA) and tools for intelligent analysis of data accumulat-ed in the information systems used in higher education institutions (HEIs) al-low quality experts to increase the effectiveness of processes for monitoring, quality assurance and evaluation of training. The paper presents LA model and a correspondent software tool designed for the needs of quality experts in Bulgarian higher education institutions. The tool allows them to monitor and improve the learning process. However, the experiments presented here show that the tool can also significantly assist in the preparation of self-assessment reports for internal and external quality assessment in HE. Re-search and experiments with the model and the LA tool under consideration are conducted on the basis of the information infrastructure of a typical Bul-garian university – University of Plovdiv “Paisii Hilendarski”.

The market for new students is highly competitive. For this reason, higher education institutions (HEIs) can no longer rely on traditional strategies to hit enrolment goals. HEIs leadership must leverage new approaches, tools and skills to optimize the enrolment process, monitor the student enrolment campaign and improve marketing strategies to attract suitable students for future campaigns. This paper proposes a solution that facilitates and optimizes these processes. It introduces a model for monitoring student enrolment campaigns and a prototype of a correspondent software tool StEnrAnalyst, designed for the needs of different stakeholder groups (top and middle management, responsible bodies for student enrolment campaigns). StEnrAnalyst allows them to monitor the student enrolment campaign, generate reports for candidate students and enrolled student and make timely data-driven decisions to improve the process of applying and enrolling new students. Experiments with the model and StEnrAnalyst are conducted based on the information infrastructure of a typical Bulgarian university.

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