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Abstract
In this paper, the authors discuss specific methods and innovative trends in education. They analyse the conditions for effective teaching and focus on modern teaching practices. The primary method of foreign language education consists mainly of a communicative approach with a dominant orientation on cultural aspects. The authors are not only concerned with linguistic competences but also point out how they can be achieved. In the research part, they set as their primary goal the observation of the use of illustrative means in German language teaching in terms of the changes that can be brought about by teachers themselves through the simplest possible intervention - in our case, by pictures, under which one can imagine materials ranging from the most concrete to the more abstract representations of reality.

Content analysis is a valuable research tool for social scientists that unfortunately can prove challenging to teach to undergraduate students. Published classroom exercises designed to teach content analysis have thus far been predominantly envisioned as lengthy projects for upper-level courses. A brief and engaging exercise may be more beneficial for introductory social science courses in which less time can be allotted to any one topic, such as content analysis. With this in mind, this article presents a highly engaging and temporally compact classroom exercise designed to teach introductory social science students about content analysis. In the exercise, students are guided through a content analysis of the music in Harry Potter films. An evaluation study suggests that the exercise improves students' understanding of content analysis and that students find it both highly helpful and enjoyable.

This paper describes new opportunities for teaching qualitative research methods to undergraduates using software as a tool. The author recounts her own experiences and challenges using one such program, QSR NVivo. The account includes students' reflections on how technology advances the analysis process. Strengths and weaknesses of the software and presented and discussed.

AbstractIntegrating digital technologies to benefit teaching and learning has long been driving higher education. The uptake of technology has been supported by teacher training focused on developing teachers' capabilities to design for learning. However, in this paper, we raise the point of moving towards teaching-sensitive technology as a clear alternative to current strategies focusing on teachers' mental processes. To develop this point, the paper offers a qualitative study that explores teaching to identify critical features of technology supporting teachers' work. Analysing teaching from a hermeneutic perspective, we arrive at six fundamental dynamics within which teachers operate. Based on the factors identified, we present three principles to guide future design of technologies for teaching and two approaches to designing technology sensitive to teachers' values.

The aim of this work is to review a specific learning analytics method - sentiment analysis - in the field of Higher Education, showing how it is employed to monitor student satisfaction on different platforms, and to propose an architecture of Sentiment Analysis for Higher Education purposes, which trace and unify what emerges from the literature review. First, a literature review is carried out, which proves the widespread and increasing interest of the communities, of both scholars and practitioners, in the use of sentiment analysis in the field of Higher Education. The analysis, focused on three different e-learning domains, identifies weaknesses and gaps, and in particular the lack of a unifying approach which is able to deal with the different domains. Secondly, a prototype architecture – LADEL (Learning Analytics Dashboard for E-Learning) - is introduced, which is able to deal with the different e-learning domains. Some preliminary experiments are carried out, highlighting some limitations and open issues, as stimulus to continue the development of the platform.