15,431 research outputs found
The Symmetry of Partner Modelling
© 2016, International Society of the Learning Sciences, Inc. Collaborative learning has often been associated with the construction of a shared understanding of the situation at hand. The psycholinguistics mechanisms at work while establishing common grounds are the object of scientific controversy. We postulate that collaborative tasks require some level of mutual modelling, i.e. that each partner needs some model of what the other partners know/want/intend at a given time. We use the term âsome modelâ to stress the fact that this model is not necessarily detailed or complete, but that we acquire some representations of the persons we interact with. The question we address is: Does the quality of the partner model depend upon the modelerâs ability to represent his or her partner? Upon the modeleeâs ability to make his state clear to the modeler? Or rather, upon the quality of their interactions? We address this question by comparing the respective accuracies of the models built by different team members. We report on 5 experiments on collaborative problem solving or collaborative learning that vary in terms of tasks (how important it is to build an accurate model) and settings (how difficult it is to build an accurate model). In 4 studies, the accuracy of the model that A built about B was correlated with the accuracy of the model that B built about A, which seems to imply that the quality of interactions matters more than individual abilities when building mutual models. However, these findings do not rule out the fact that individual abilities also contribute to the quality of modelling process
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Education in the Wild: Contextual and Location-Based Mobile Learning in Action. A Report from the STELLAR Alpine Rendez-Vous Workshop Series
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Introduction to location-based mobile learning
[About the book]
The report follows on from a 2-day workshop funded by the STELLAR Network of Excellence as part of their 2009 Alpine Rendez-Vous workshop series and is edited by Elizabeth Brown with a foreword from Mike Sharples. Contributors have provided examples of innovative and exciting research projects and practical applications for mobile learning in a location-sensitive setting, including the sharing of good practice and the key findings that have resulted from this work. There is also a debate about whether location-based and contextual learning results in shallower learning strategies and a section detailing the future challenges for location-based learning
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Augmenting the field experience: a student-led comparison of techniques and technologies
In this study we report on our experiences of creating and running a student fieldtrip exercise which allowed students to compare a range of approaches to the design of technologies for augmenting landscape scenes. The main study site is around Keswick in the English Lake District, Cumbria, UK, an attractive upland environment popular with tourists and walkers. The aim of the exercise for the students was to assess the effectiveness of various forms of geographic information in augmenting real landscape scenes, as mediated through a range of techniques and technologies. These techniques were: computer-generated acetate overlays showing annotated wireframe views from certain key points; a custom-designed application running on a PDA; a mediascape running on the mScape software on a GPS-enabled mobile phone; Google Earth on a tablet PC; and a head-mounted in-field Virtual Reality system. Each group of students had all five techniques available to them, and were tasked with comparing them in the context of creating a visitor guide to the area centred on the field centre. Here we summarise their findings and reflect upon some of the broader research questions emerging from the project
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Designing Activities for Collaboration at Classroom Scale Using Shared Technology
Although researchers, teachers and policy makers broadly agree on the benefits of collaborative learning, there appears to be less clarity regarding how effective collaboration can be realised at classroom scale.
Research in Computer-Supported Collaborative Learning (CSCL), Human-Computer Interaction (HCI), simulation-based learning and related fields has produced a considerable range of applications that aim to support collaboration in classrooms. Grounded in well-established theories of how humans learn, many such applications have shown promising results within the context of small research studies. However, most of those research-driven applications never matured beyond the prototype stage and few are available today as products that schools can easily use and adopt. Many systems lack flexibility or require too much time, hardware, technical skills or other resources to be effectively implemented. Furthermore, teachers can be overwhelmed by managing large groups of students engaged in complex, computer-supported tasks.
This thesis investigates how forms of whole-classroom activity can be supported by combining shareable technologies with simulation, team play and orchestration. New designs are explored to help large groups engage and discuss at multiple scales (from pairs and small groups to the entire classroom) in ways that effectively include each student and use the teacher's limited resources efficiently. Moreover, this research aims to devise and validate a conceptual framework that can guide future design, orchestration and evaluation of such activities. Three in-situ studies were conducted to address these goals.
The first study involved the design of a climate change simulation to support a professional training course. Iterative design and video analysis resulted in the formulation of the Collaborative Learning Orchestration for Verbal Engagement and Reflection (CLOVER) framework. This framework comprises a suite of conceptual tools and recommendations that aim to help designers and teachers create, orchestrate and evaluate decision-based simulations for whole-classroom use.
Two follow-up studies were conducted to validate the usability and usefulness of CLOVER. One of them aimed to replicate the previous findings in a similar context and resulted in the design of a sustainable, whole-classroom simulation for students to discuss finance decisions. The other used CLOVER to expand an existing desktop application (a~language comprehension task for children) to classroom scale.
In sum, the three studies provide substantial empirical evidence, suggesting that CLOVER-based applications can effectively reconcile learning needs (collaboration) and technological affordances (shareable devices) with the inherent benefits and constraints of teacher-driven, co-located environments. Furthermore, the findings contribute to a better understanding of what it means to design for sustainability in this context
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