Knowledge-Production Processes in Practice Research - Outcomes and Critical Elements

The welfare sector has seen considerable changes in its operational context. Welfare services respond to an increasing number of challenges as citizens are confronted with life’s uncertainties and a variety of complex situations. At the same time the service-delivery system is facing problems of co-operation and the development of staff competence, as well as demands to improve service effectiveness and outcomes. In order to ensure optimal user outcomes in this complex, evolving environment it is necessary to enhance professional knowledge and skills, and to increase efforts to develop the services. Changes are also evident in the new emergent knowledge-production models. There has been a shift from knowledge acquisition and transmission to its construction and production. New actors have stepped in and the roles of researchers are subject to critical discussion. Research outcomes, in other words the usefulness of research with respect to practice development, is a topical agenda item. Research is needed, but if it is to be useful it needs to be not only credible but also useful in action. What do we know about different research processes in practice? What conceptions, approaches, methods and actor roles are embedded? What is the effect on practice? How does ‘here and now’ practice challenge research methods? This article is based on the research processes conducted in the institutes of practice research in social work in Finland. It analyses the different approaches applied by elucidating the theoretical standpoints and the critical elements embedded in them, and reflects on the outcomes in and for practice. It highlights the level of change and progression in practice research, arguing for diverse practice research models with a solid theoretical grounding, rigorous research processes, and a supportive infrastructure.

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.

Partnership in Practice Research: a Norwegian Experience

This article outlines some of the issues involved in developing partnerships between service users, practitioners and researchers. It discusses these through some experience in Oslo as part of a national level agreement (HUSK) to improve social services in Norway through research and knowledge development. It begins with a review of the main concepts and debates involved in developing collaborative partnerships for practice-based research, particularly in the social services arena. The HUSK program is then described. The article then traces some specific developments and challenges in negotiating partnership relations as discussed by program participants (users, practitioners and researchers) in a series of workshops designed to elicit the issues directly from their experience.

Mobile Learning – Begriff, Modelle, Forschung

Der vorliegende Übersichtsartikel betrachtet Mobile Learning aus einer pädagogisch-psychologischen und didaktischen Perspektive. Mobile Learning (M-Learning), das seit Mitte der 1990er in unterschiedlichsten Kontexten Einzug in den Bildungssektor hielt, ist ein dynamisches und interdisziplinäres Feld. Dynamisch, weil M-Learning durch die rasche Entwicklung im Bereich der Informations- und Kommunikationstechnologie, wie kaum ein anderes Forschungsfeld, einem derart großen Wandel unterworfen ist. Interdisziplinär, weil durch das Zusammentreffen von mobiler Technik und Lernen auch unterschiedliche Fachdisziplinen betroffen sind. Die verschiedenen Sichtweisen und auch die Komplexität des Feldes haben dazu geführt, dass bis heute keine einheitliche Definition des Begriffs besteht. Ziel dieses Übersichtsartikels ist es, den aktuellen Forschungsstand aus didaktischer und pädagogisch-psychologischer Sicht aufzuzeigen. Dazu werden zunächst wichtige Komponenten des M-Learning-Begriffs herausgearbeitet und daran anschließend didaktisch bedeutsame theoretische Ansätze und Modelle vorgestellt sowie kritisch betrachtet. Basierend auf dieser theoretischen Ausgangslage wird dann ein Rahmen gezeichnet, der verdeutlichen soll, wo empirische Forschung aus didaktischer und pädagogisch-psychologischer Sicht ansetzen kann. Entsprechende empirische Studien werden ebenfalls vorgestellt, um einen Eindruck des aktuellen empirischen Forschungsstandes zu geben. Dies alles soll als Ausgangspunkt für den zukünftigen Forschungsbedarf dienen.