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Over the past two decades, formative peer assessment has become a popular instructional approach. Initially, it was more readily applied in higher education but has since expanded to other educational levels, including primary and secondary education. The popularity is understandable given the increased amount of feedback by multiple peers and enhanced awareness of performance criteria. Although it is increasingly acknowledged by the research community that formative peer assessment is inherently a social endeavour, the collaborative nature is simultaneously the least-explored mechanism. The contributions in this special issue address this gap conceptualising peer assessment and peer feedback as both an individual and a collaborative learning practice. Furthermore, we highlight core learning conditions: learner characteristics, domain and task characteristics, and, finally, instructional scaffolds.

The act of revising is an important aspect of academic writing. Although revision is crucial for eliminating writing errors and producing high-quality texts, research on writing expertise shows that novices rarely engage in revision activities. Providing information on writing errors by means of peer feedback has become a popular method in writing instruction. However, despite its popularity, students have difficulties in leveraging the potential of peer feedback: feedback uptake is low and students engage in little revision. Instructional support might help learners to make sense of peer feedback and to reflect on the provided information more deeply. The present study investigated the effect of sense-making support on feedback uptake as well as on revision skills, in particular problem detection and problem correction. In an experimental study, 73 university students were randomly assigned to conditions with or without sense-making support. The results indicate that feedback uptake improved concerning two out of three variables: students in the condition with sense-making support made fewer new errors and rejected more incorrect feedback comments. Students’ revision skills only improved with regard to problem detection. Overall, we were able to show that peer feedback alone might not be sufficient to make successful changes in the text and improve revision skills. Sense-making support proved to be effective to some extent and partially helped to maximize the benefits of peer feedback.

There is an underexploited potential in enhancing massive online learning courses through small-group learning activities. Size and diversity allow for optimizing group composition in small-group tasks. The purpose of this paper was to investigate how groups formed based on learner behavior affect productivity of students in a small-group task. Students classified as high, average and low were randomly assigned to homogeneous or heterogeneous groups. Results indicate that overall, heterogeneous groups were either similarly or a bit more productive than homogeneous groups. Yet, we found that homogeneous groups classified as high-level were as or more than heterogeneous groups. However, heterogeneous groups were still more productive than homogeneous-average and homogeneous-low groups suggesting heterogeneous groups are the best choice for the entire community. Students classified as low-level were more productive in homogeneous groups, suggesting that grouping less active students together, makes social loafing more difficult and students participate more.

Science Created by You (SCY) is a project on learning in science and technology domains. SCY uses a pedagogical approach that centres around products, called 'emerging learning objects' (ELOs) that are created by students. Students work individually and collaboratively in SCY-Lab (the general SCY learning environment) on 'missions' that are guided by socio-scientific questions (for example 'How can we design a CO2-friendly house?'). Fulfilling SCY missions requires a combination of knowledge from different content areas (eg, physics, mathematics, biology, as well as social sciences). While on a SCY mission, students perform several types of learning activities that can be characterised as productive processes (experiment, game, share, explain, design, etc), they encounter multiple resources, collaborate with varying coalitions of peers and use changing constellations of tools and scaffolds. The configuration of SCY-Lab is adaptive to the actual learning situation and may provide advice to students on appropriate learning activities, resources, tools and scaffolds, or peer students who can support the learning process. The SCY project aims at students between 12 and 18 years old. In the course of the project, a total of four SCY missions will be developed, of which one is currently available. [ABSTRACT FROM AUTHOR]

In this paper we present an agent-based architecture to monitor and analyse students' behaviour while working with a simulation tool. This architecture is based on the blackboard principle and implemented using a Tuple-Spaces approach. The agents are divided into several groups according to their tasks to maximise autonomy and reusability. This separation was done with the idea of perceive-react-cycles in mind. An implemented example scenario that demonstrates how agents interact in generating meaningful context-aware student feedback is described. The visualisation of the agents' analysis results facilitates a deeper understanding of the learners' activities.