“Advertising Psychology – The Blog Seminar”.

The aim of the web-based course “Advertising Psychology – The Blog Seminar” was to offer a contemporary teaching design using typical Web 2.0 characteristics such as comments, discussions and social media integration which covers facebook and Twitter support, as nowadays, this is a common part of students’ everyday life. This weblog (blog)-based seminar for Advertising Psychology was set up in order to make the course accessible to students from different campuses in the Ruhr metropolitan area. The technical aspect of the open-source content management system Drupal 6.0 and the didactical course structure, based on Merrill’s five first principles of instruction, are introduced. To date, this blog seminar has been conducted three times with a total of 84 participants, who were asked to rate the course according to the benefits of different didactical elements and with regard to Kirkpatrick’s levels of evaluation model. This model covers a) reactions such as reported enjoyment, perceived usefulness and perceived difficulty, and b) effects on learning through the subjectively reported increase in knowledge and attitude towards the seminar. Overall, the blog seminar was evaluated very positively and can be considered as providing support for achieving the learning objectives. However, a successful blended learning approach should always be tailored to the learning contents and the environment.

Action Research and Learning Analytics in Higher Education

Teaching is a dynamic activity. It can be very effective, if its impact is constantly monitored and adjusted to the demands of changing social contexts and needs of learners. This implies that teachers need to be aware about teaching and learning processes. Moreover, they should constantly question their didactical methods and the learning resources, which they provide to their students. They should reflect if their actions are suitable, and they should regulate their teaching, e.g., by updating learning materials based on new knowledge about learners, or by motivating learners to engage in further learning activities. In the last years, a rising interest in ‘learning analytics’ is observable. This interest is motivated by the availability of massive amounts of educational data. Also, the continuously increasing processing power, and a strong motivation for discovering new information from these pools of educational data, is pushing further developments within the learning analytics research field. Learning analytics could be a method for reflective teaching practice that enables and guides teachers to investigate and evaluate their work in future learning scenarios. However, this potentially positive impact has not yet been sufficiently verified by learning analytics research. Another method that pursues these goals is ‘action research’. Learning analytics promises to initiate action research processes because it facilitates awareness, reflection and regulation of teaching activities analogous to action research. Therefore, this thesis joins both concepts, in order to improve the design of learning analytics tools. Central research question of this thesis are: What are the dimensions of learning analytics in relation to action research, which need to be considered when designing a learning analytics tool? How does a learning analytics dashboard impact the teachers of technology-enhanced university lectures regarding ‘awareness’, ‘reflection’ and ‘action’? Does it initiate action research? Which are central requirements for a learning analytics tool, which pursues such effects? This project followed design-based research principles, in order to answer these research questions. The main contributions are: a theoretical reference model that connects action research and learning analytics, the conceptualization and implementation of a learning analytics tool, a requirements catalogue for useful and usable learning analytics design based on evaluations, a tested procedure for impact analysis, and guidelines for the introduction of learning analytics into higher education.