The power of feedback.

Handwriting has continued to persist as a means of communication and recording information in day-to-day life even with the introduction of new technologies. Given its ubiquity in human transactions, machine recognition of handwriting has practical significance, as in reading handwritten notes in a PDA, in postal addresses on envelopes, in amounts in bank checks, in handwritten fields in forms, etc. This overview describes the nature of handwritten language, how it is transduced into electronic data, and the basic concepts behind written language recognition algorithms. Both the online case (which pertains to the availability of trajectory data during writing) and the off-line case (which pertains to scanned images) are considered. Algorithms for preprocessing, character and word recognition, and performance with practical systems are indicated. Other fields of application, like signature verification, writer authentification, handwriting learning tools are also considered.

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Online and off-line handwriting recognition: a comprehensive survey

This paper discusses the concept of Cloud Computing to achieve a complete definition of what a Cloud is, using the main characteristics typically associated with this paradigm in the literature. More than 20 definitions have been studied allowing for the extraction of a consensus definition as well as a minimum definition containing the essential characteristics. This paper pays much attention to the Grid paradigm, as it is often confused with Cloud technologies. We also describe the relationships and distinctions between the Grid and Cloud approaches.

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A break in the clouds: towards a cloud definition

On Educational psychology: A cognitive view.

Data-driven Soft Sensors in the process industry

Studying and evaluating real experiences that promote active and collaborative learning is a crucial field in CSCL. Major issues that remain unsolved deal with the merging of qualitative and quantitative methods and data, especially in educational settings that involve both physical and computer-supported collaboration. In this paper we present a mixed evaluation method that combines traditional sources of data with computer logs, and integrates quantitative statistics, qualitative data analysis and social network analysis in an overall interpretative approach. Several computer tools have been developed to assist in this process, integrated with generic software for qualitative analysis. The evaluation method and tools have been incrementally applied and validated in the context of an educational and research project that has been going on during the last three years. The use of the method is illustrated in this paper by an example consisting of the evaluation of a particular category within this project. The proposed method and tools aim at giving an answer to the need of innovative techniques for the study of new forms of interaction emerging in CSCL; at increasing the efficiency of the traditionally demanding qualitative methods, so that they can be used by teachers in curriculum-based experiences; and at the definition of a set of guidelines for bridging different data sources and analysis perspectives.

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Combining qualitative evaluation and social network analysis for the study of classroom social interactions

CSCL (Computer-Supported Collaborative Learning) constitutes a significant field that has drawn the attention of many researchers and practitioners (Dillenbourg, 2002). This domain is characterized by the coexistence of very different expectations, requirements, knowledge and interests posed by both collaborative learning practitioners and experts in information and communication technologies. In other words, CSCL is an intrinsically interdisciplinary field that implies a need for mutual understanding among the implied stakeholders. This need demands the active participation of all these stakeholders during the whole development cycle of CSCL solutions. Participatory Design (PD) approaches (Muller & Kuhn, 1993) propose a diversity of theories, practices, etc. with the goal of working directly with users and other stakeholders in the design of social systems. That is, PD methodologies define processes where users and developers work together during a certain period of time, while they identify the requirements of an application. In the CSCL case, it has been shown that it is not efficient enough to simply perform the identification and analysis of requirements for the development of CSCL solutions that support effective ways of learning. Collaborative learning practitioners also become active players in the process of customizing technological solutions to their particular needs in every learning situation. PD poses a new requirement that CSCL developers should tackle: how to obtain technological solutions for collaborative learning capable of being particularized/customized by practitioners that usually do not have technological skills.

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COLLAGE: A Collaborative Learning Design Editor Based on Patterns

This paper discusses the concept of grid towards achieving a complete definition using main grid characteristics and uses found in literature. Ten definitions extracted from main literature sources have been studied allowing the extraction of grid characteristics while grid uses are defined in terms of the different types of application support provided by grids. A grid definition is proposed using these characteristics and uses. This definition may be very useful to determine the limits of the grid concept as well as to explore new application fields in grid computing. In this sense, the extracted characteristics are employed to determine the potential benefits a grid infrastructure may provide to Computer Supported Collaborative Learning applications.

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Grid Characteristics and Uses: A Grid Definition

From the conceptualization to the evaluation of computer-supported collaborative learning (CSCL) scenarios, teachers address multiple tasks, sometimes being overwhelmed on account of the required time and associated burden. To support teachers in this endeavor, we propose to connect the pedagogical decisions made at design time with the analysis of the participants' interactions. Thus, teachers would be provided with relevant and coarse-grained information that could help them manage their CSCL scenarios. This paper synthesizes the main contributions obtained from a 3-year design-based research process, and presents the findings obtained from the evaluation of the current proposal in two authentic CSCL scenarios. The participant teachers valued the proposal positively and stated that it was helpful for their orchestration of CSCL scenarios.

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Scripting and monitoring meet each other: Aligning learning analytics and learning design to support teachers in orchestrating CSCL situations

Orchestration is an approach to Technology Enhanced Learning that emphasizes attention to the challenges of classroom use of technology, with a particular focus on supporting teachers' roles. The present collection of papers on orchestration highlights broad agreement that classrooms are variable and complex and that teachers have an important role in adapting materials for use in their own classrooms. The synthesis also shows a difference of opinions in how useful ''orchestration'' is as a metaphor, the proper scope of issues to include when studying orchestration, and how to approach design. Despite the lack of consensus, orchestration is a timely and important shift of focus and all of the approaches merit further exploration. The field shows healthy self-criticism and debate, which is the hallmark of fields with the potential for great progress.

Yannis Dimitriadis

Papers

Combining qualitative evaluation and social network analysis for the study of classroom social interactions

COLLAGE: A Collaborative Learning Design Editor Based on Patterns

Grid Characteristics and Uses: A Grid Definition

Scripting and monitoring meet each other: Aligning learning analytics and learning design to support teachers in orchestrating CSCL situations

Classroom orchestration: Synthesis