DojoIBL1 is a cloud based platform that provides flexible support for collaborative inquiry-based learning processes. It expands the learning process beyond the classroom walls and brings it to an online setting. Such transition requires teachers and learners to have more means to track and to follow up their progress. Learning Analytics dashboards provide such functionality in form of meaningful visualizations. In this paper we present the DojoAnalytics, a new module of DojoIBL that enables connections with third party Learning Analytics dashboards. In order to demonstrate interoperability with the external dashboards, two use case implementations will be described.@en

DojoIBL is a web based platform to support collaborative inquiry-based learning processes. It imitates real-world research processes and organizes inquiry activities into several phases. DojoIBL considers lessons learned from the weSPOT project and offers a cloud-based highly scalable infrastructure that has a strong focus on (mobile) data collection. In this sense, DojoIBL blends formal (desk-top based) learning and informal (mobile) learning. Within the course of 1 year, a design based research methodology was implemented in 10 national and international inquiry projects. Within this period, students were inter-viewed at regular times. Time and task management issues turned out to be critical functionalities and were thus implemented in several iterations.@en

Inquiry-based Learning is increasingly suggested as an efficient approach for fostering learners' curiosity and motivation. It helps learners to develop their ability to work in complex and unpredictable environments making them more critical thinkers and agentic learners. Although mobile technology is a suitable support for this learning process, there is a lack of practical strategies for educational practitioners to enact the right balance between enabling agency and supporting the students through the mobile technology. Thus, we conducted a literature review that analyzed 62 studies on mobile inquiry-based learning. The analysis focused on the level of agency supported by mobile technology. This review study provided two main results. The first result is a two-layer classification –with five types and twelve subtypes– of the most common mobile activities used in inquiry-based learning. The types and subtypes are: 1) Direct instruction formed by 1a) location guidance, 1b) procedural guidance and 1c) metacognitive guidance, 2) Access to content formed by 2a) fixed and 2b) dynamic content, 3) Data collection that consists of 3a) cooperative and 3b) collaborative data collection, 4) Peer-to-peer communication formed by 4a) asynchronous and 4b) synchronous social communications and 5) Contextual support that includes 5a) augmented experience, 5b) immersive experience and 5c) adaptive feedback. The second result consists of an analytical framework –based on six dimensions– to assess the level of agency supported by the different types of mobile activities. The learners' agency dimensions are: 1) Goals, 2) Content, 3) Actions, 4) Strategies, 5) Reflection and 6) Monitoring. Finally, the review presents insights on how this analytical framework can be used by educational practitioners to identify mobile activities that effectively balance learners’ agency with mobile technology.@en