There is a general belief that software must be able to easily do things that humans find difficult. Since finding sources for plagiarism in a text is not an easy task, there is a widespread expectation that it must be simple for software to determine if a text is plagiarized or not. Software cannot determine plagiarism, but it can work as a support tool for identifying some text similarity that may constitute plagiarism. But how well do the various systems work? This paper reports on a collaborative test of 15 web-based text-matching systems that can be used when plagiarism is suspected. It was conducted by researchers from seven countries using test material in eight different languages, evaluating the effectiveness of the systems on single-source and multi-source documents. A usability examination was also performed. The sobering results show that although some systems can indeed help identify some plagiarized content, they clearly do not find all plagiarism and at times also identify nonplagiarized material as problematic.

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A clear understanding of terminology is crucial in any academic field. When it is clear that complex interdisciplinary concepts are interpreted differently depending on the academic field, geographical setting or cultural values, it is time to take action. Given this, the Glossary for Academic Integrity, newly developed by the European Network for Academic Integrity project, served as the basis for compiling a comprehensive taxonomy of terms related to academic integrity. Following a rigorous coding exercise, the taxonomy was partitioned into three constituent components-Integrity, Misconduct and Neutral terms. A review of relevant literature sources is included, and the strengths and weaknesses of existing taxonomies are discussed in relation to this new offering. During the creation of these artefacts the authors identified and resolved many differences between their individual interpretative understandings of concepts/terms and the viewpoints of others. It is anticipated that the freely-available glossary and taxonomy will be explored and valued by researchers, teachers, students and the general public alike.

Academic integrity determines the trust that society has in the quality of education and the results of scientific research. More broadly, it influences honesty, respect for ethical principles, and the fair behaviour of society members. Accordingly, higher education institutions should have clear, transparent and well-communicated policies to defend academic integrity among all stakeholders. Taking into account the worldwide dependence on digital technologies, online communication channels should be also used for this purpose. Using qualitative content analysis, this paper aims to investigate how academic integrity is framed by Latvian and Lithuanian state-financed universities in online public spaces in relation to the criteria of an exemplary academic integrity policy. Given the limited content of publicly available university documents, the research findings indicated a poor correspondence to the mentioned criteria.

-The paper presents the concept map based intelligent knowledge assessment system developed by the Department of Systems Theory and Design of the Faculty of Computer Science and Information Technology of Riga Technical University. The main attention is devoted to the implementation of various kinds of feedback intended for promotion of effective learning and informing of a teacher about students' progress. The feedback is considered from three points of view: feedback generated automatically by the system and given to a student and to a teacher, and feedback provided by a student using questionnaires embedded into the system. All feedback types are discussed in detail and demonstrated using screenshots. Related works are presented as well. The calculation of the concepts' mastering degree and composition of the text summary informing a student about the best and the poorly known concepts within a task is described. The constituent parts of the questionnaire system (the questionnaire designer, the questionnaire filler and the questionnaire reporting system) are specified and all kinds of questions available in the questionnaire designer are demonstrated. The overall functionality of the system is presented paying attention to the goal of the system, scenario of the use and range of provided tasks.