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This chapter introduces a theoretical framework for analyzing collaborative problem solving in chats, based on the concept of polyphony and Bakhtin’s theory of dialog. Polyphony, a notion taken from music theory, may be considered as a general model for interaction and creativity by a group of people (“voices,” in an extended sense) following patterns of counterpoint. As Bakhtin emphasized, polyphony may occur in texts; we will show that it can occur in problem-solving chat texts. One of the features of polyphonic music is its potential development of complex architectures starting from a given theme. Polyphonic structuring of dialogs may transform the interaction into a “thinking device”: Different voices jointly construct a melody (story or solution), sometimes adopting different positions and then generating, idenepsying or solving dissonances (unsound, rickety stories or solutions). Polyphony consists of several “horizontal,” longitudinal melody lines that are “vertically,” transversally integrated. Similarly, in chats, the continuations of utterances are tied together over time providing a melodic line. Simultaneously, they are coordinated with the utterances of others, maintaining the integration toward unity across various themes and variations that sometimes can introduce differences. This chapter also proposes software tools for the visualization of the polyphonic weaving in chats. These tools idenepsy and visualize the explicit and implicit links among utterances, and may determine or visualize the contributions of each participant in a chat. KeywordsBakhtin–polyphony–voice–dialog–reference
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... The polyphonic model of CSCL [2][3][4][5] was inspired by Bakhtin's dialogism and polyphony [6][7][8]. It considers the inter-animation patterns of voices in an extended sense (participants' points of view and/or discussed ideas or concepts) that span through the conversation [3][4][5]. ...
... The polyphonic model of CSCL [2][3][4][5] was inspired by Bakhtin's dialogism and polyphony [6][7][8]. It considers the inter-animation patterns of voices in an extended sense (participants' points of view and/or discussed ideas or concepts) that span through the conversation [3][4][5]. Using this analogy, utterances may contain one or more voices that overlap, interact one with another, and generate through their intertwining the underlying discussion threads [2,3]. ...
... In conversations with several participants, the inter-animation phenomenon [3][4][5]12] is encountered, and, together with the polyphonic model, may be used for the analysis of the CSCL conversations. Several classes of interanimation patterns may be identified [3] such as: adjacency pairs [13] in which the first type of utterance implies the second one, repetitions that, according to Tannen [14,15], "induce a phenomenon similar to the rhythm in music, reflecting involvement" or collaborative utterances [16] in which "participants build an utterance together, as a single person". ...
Article
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As Computer Supported Collaborative Learning (CSCL) gains a broader usage as a viable alternative to traditional educational scenarios, the need for automated tools capable of evaluating active participation and collaboration among peers in online discussions increases. In this study, we validate a quantitative model of predicting involvement in CSCL chats based on student’s pauses throughout the timeline of the conversation. Starting from a corpus of 10 chat conversations, our proposed model explains 55% of the variance in terms of student participation and 42% in terms of collaboration, although relying on simple quantitative indices.
... Accordingly, voices represent distinct positions, points of view, or ideas, that impact the nature and outcome of a discourse. Multi-voicedness, may drive to polyphony, which is a central concept within dialogism, and a focus of the polyphonic model, which is essential to this study (Trausan-Matu & Rebedea, 2009). ...
... Dialogue traditionally refers to communication between two or more individuals. Indeed, within the context of Computer Supported Collaborative Learning, dialogism has been considered better suited as a theoretical framework for multi-party conversations than classic Natural Language Processing theories that focus on phone-like interactions between two interlocutors (Trausan-Matu & Rebedea, 2009). ...
... Voices may also be themes, or recurrent topics emerging from the discourse. They enter in inter-animation patterns which generate a polyphonic weaving characterized by a multitude of voices, each with its individuality, but which give birth to a coherent whole (Trausan-Matu & Rebedea, 2009). ...
Conference Paper
Dialogism provides the grounds for building a comprehensive model of discourse and it is focused on the multiplicity of perspectives (i.e., voices). Dialogism can be present in any type of text, while voices become themes or recurrent topics emerging from the discourse. In this study, we examine the extent that differences between self-explanations and think-alouds can be detected using computational textual indices derived from dialogism. Students (n = 68) read a text about natural selection and were instructed to generate self-explanations or think-alouds. The linguistic features of these text responses were analyzed using ReaderBench, an automated text analysis tool. A discriminant function analysis using these features correctly classified 80.9% of the students' assigned experimental conditions (self-explanation vs. think aloud). Our results indicate that self-explanation promotes text processing that focuses on connected ideas, rather than separate voices or points of view covering multiple topics.
... Specific inter-animation patterns may be identified along each of the unity and difference dimensions in a chat (Trăușan-Matu, Stahl & Sarmiento, 2007;Trăușan-Matu & Rebedea, 2009). In CSCL, each of these patterns may be used for automatic abstraction of useful data, either for the participants in a chat, or for teachers, towards evaluation purposes. ...
... Implicit links between utterances are detected considering repetitions, speech acts, adjacency pairs, argumentation links, and the similarity of utterances starting from Tf*Idf and Latent Semantic Analysis (Landauer et al., 1998 Rebedea, 2009), in order to facilitate an analysis based on the polyphony theory and to permit the best visualization of the conversation. For each participant in the chat, there is a separate horizontal line in the representation and each utterance is placed in the line corresponding to the issuer of that utterance, taking into account its positioning in the original chat fileusing the timeline as an horizontal axis (see Figure 5). ...
... Each utterance is represented as a rectangular node having a horizontal length proportional with the textual length of the utterance. The distance between two different utterances is proportional with the time passed between the utterances (Trăușan-Matu, Rebedea et al., 2007;Trăușan-Matu & Rebedea, 2009). The links between utterances are represented by line segments with different colours (see Figure 5). ...
Chapter
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A model and a method of discourse analysis in multi-party conversations is described. They integrate classical Natural Language Processing techniques with approaches from the socio-cultural paradigm, based on the theory of Mikhail Bakhtin's dialogism. The idea is based on the model of polyphonic music in which several voices interact in two dimensions: longitudinal and transversal. Several categories of inter-animation patterns are classified. The paper presents also practical applications such as PolyCAFe system, developed under the FP7 LTfLL, for the analysis of chat conversations performed by students in collaborative learning.
... Collaboration Assessment Through Voice Inter-Animation. In order to achieve genuine collaboration, the conversation must contain a dense intertwining of voices derived from key concepts and covering multiple participants of the conversation [38]. Therefore, starting from voices computed as semantic chains containing highly cohesive concepts, a split per participant was performed in order to observe the corresponding coverage and distribution of dominant concepts per speaker, throughout the discussion thread. ...
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Knowledge building communities (KBCs) are environments where learning is continually occurring as a social process, and the collective knowledge base is gradually being expanded upon. Knowledge accessible to all members is produced in collaborative discourse, along with the development and the use of conceptual artifacts. This theoretical contribution discusses the possibilities to foster and design KBCs in a "smart" manner so that they can be connected to formal learning. Firstly, the paper identifies the characteristics of "smartness" for the context of KBCs: Participants (individuals and groups), collaboration and convergence, as well as technology that may provide enabling and monitoring tools. Secondly, tools are suggested to foster and monitor the development and the use of collaborative discourse and conceptual artifacts. Thirdly, recommendations for the design of smart KBCs are provided. Finally, a research agenda is proposed based on the previous discussions.
... They are frequently found in Twitch chat, but may originate in other sites or forums. We drew from Trausan-Matu and Rebedea's work [22] to specify the voices in a segment of text. Based on Bahktin's work, Trausan-Matu and Rebedea argued that voices are not equivalent to individual participants, but represent shared viewpoints or stances [23]. ...
Conference Paper
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Twitch.tv, a streaming platform known for video game content, has grown tremendously since its inception in 2011. We examine communication practices in Twitch chats for the popular game Hearthstone, comparing massive chats with at least 10,000 concurrent viewers and small chats with fewer than 2,000 concurrent viewers. Due to the large scale and fast pace of massive chats, communication patterns no longer follow models developed in previous studies of computer-mediated communication. Rather than what other studies have described as communication breakdowns and information overload, participants in massive chats communicate in what we call 'crowdspeak.'
... Our aim is to use a more generalizable model that can be more easily applied to multi-participant conversations. The polyphonic theory of CSCL (Trausan-Matu, 2010b;Trausan-Matu & Rebedea, 2009;Trausan-Matu, Stahl, & Zemel, 2005) follows the ideas of Koschmann (1999) and Wegerif (2005), and investigates how Bakhtin's dialogism theory, centered on polyphony and inter-animation (Bakhtin, 1981(Bakhtin, , 1984, can be used to analyze such conversations. Other attempts to analyze conversations with multiple participants have considered other global perspectives, such as transactivity, which focuses on argument sequences and how learners build upon their learning partners' contributions (Joshi & Rosé, 2007). ...
Article
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The broad use of computer-supported collaborative-learning (CSCL) environments (e.g., instant messenger–chats, forums, blogs in online communities, and massive open online courses) calls for automated tools to support tutors in the time-consuming process of analyzing collaborative conversations. In this article, the authors propose and validate the cohesion network analysis (CNA) model, housed within the ReaderBench platform. CNA, grounded in theories of cohesion, dialogism, and polyphony, is similar to social network analysis (SNA), but it also considers text content and discourse structure and, uniquely, uses automated cohesion indices to generate the underlying discourse representation. Thus, CNA enhances the power of SNA by explicitly considering semantic cohesion while modeling interactions between participants. The primary purpose of this article is to describe CNA analysis and to provide a proof of concept, by using ten chat conversations in which multiple participants debated the advantages of CSCL technologies. Each participant’s contributions were human-scored on the basis of their relevance in terms of covering the central concepts of the conversation. SNA metrics, applied to the CNA sociogram, were then used to assess the quality of each member’s degree of participation. The results revealed that the CNA indices were strongly correlated to the human evaluations of the conversations. Furthermore, a stepwise regression analysis indicated that the CNA indices collectively predicted 54% of the variance in the human ratings of participation. The results provide promising support for the use of automated computational assessments of collaborative participation and of individuals’ degrees of active involvement in CSCL environments.
Chapter
The digital age of computer support has transformed human cognition. Although thinking always had social origins in the small-group interaction of family units, tribes, work teams, and friendships, cognition is now enmeshed in networks of social media, technological infrastructure, online knowledge sources, and global production. Computer-supported collaborative learning (CSCL) stands at the crossroads of this historic transformation. CSCL research provides a laboratory for studying the nature of collective intelligence or group cognition. It explores how collaborative learning by small groups can become a foundational form of knowledge building—including for the individual group members and for the society in which the groups live. This introductory Investigation presents a paradigmatic CSCL setting and highlights the role of group practices as vehicles for collaborative learning. It addresses the dual questions of how intersubjectivity is possible and what the preconditions are for establishing, supporting, and maintaining intersubjectivity—providing central pillars of a theory of group cognition and suggesting implications for educational practice. It then delves into the structure of collaborative discourse, analyzing data from exemplary CSCL sessions. The analysis of group interaction points to a multilayered structure, in which individual, small-group, and cultural cognition are intertwined.
Thesis
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With the wide adoption of instant messaging, online discussion forums, blog post and comments and social networking (status updates, comments, etc.), online communication started to switch from narratives to highly-collaborative conversations with multiple authors and parallel discussion threads. However, the theories used for analyzing this new type of discourse, that is very different from narratives, but also from dialogues between two persons, have remained in essence the same. The thesis introduces a new methodology that uses inter-animation for the analysis of online conversations with multiple authors and is based on detecting the implicit links that arise between turns using only Natural Language Processing (NLP) techniques. During the development of this methodology several existing theories for discourse analysis have been used. Some of them have been designed especially for dialogues, but others can also be used for narrative texts. In our work, they are used mainly to highlight the implicit links existing in online discussions. Thus, a conversation graph is built which can be used for determining the discussion threads and for an improved analysis of the conversations. The inter-animation framework for online conversations had been partially implemented for PolyCAFe, a system for analyzing chat conversations and discussion forums, developed within the FP7 project Language Technologies for Lifelong Learning (LTfLL). As illustrated in the thesis, it has been designed for the analysis of online conversations of students involved in Computer Supported Collaborative Learning (CSCL) activities. Besides a detailed description of the implemented system, several validation experiments are presented that prove the usefulness and efficiency of the software for the students and tutors that are using it. Furthermore, quite a few experiments have been undertaken to determine the accuracy of the results offered by the system and the main results are discussed in the final chapters. As the main elements of novelty within PolyCAFe are related to the semantic layer of linguistic analysis, at the end of the thesis are presented the results of two experiments that use semantics in order to improve the relevance of text documents in two different contexts: improving web documents ranking for search engines and improving the comments ranking on websites with video materials, such as YouTube. I hope that the thesis will offer the readers new insights in the way lexical, semantic and discourse elements work together to provide inter-connections between different elements of text, especially turns in online conversations.
Conference Paper
As Computer Supported Collaborative Learning (CSCL) gains a broader usage as a viable alternative to classic educational scenarios, the need for automated tools capable of supporting tutors in the time consuming process of analyzing conversations becomes more stringent. Moreover, in order to fully explore the benefits of such scenarios, a clear demarcation must be made between participation or active involvement, and collaboration that presumes the intertwining of ideas or points of view with other participants. Therefore, starting from a cohesion-based model of the discourse, we propose two computational models for assessing collaboration and participation. The first model is based on the cohesion graph and can be perceived as a longitudinal analysis of the ongoing conversation, thus accounting for participation from a social knowledge-building perspective. In the second approach, collaboration is regarded from a dialogical perspective as the intertwining or overlap of voices pertaining to different speakers, therefore enabling a transversal analysis of subsequent discussion slices.
Chapter
In contrast to the previous systems that focused on analyzing CSCL conversations, ReaderBench (Dascalu et al. 2013a; Dascalu et al. 2013b) (see Table 19) addresses a wider spread of activities and can be used within more complex educational scenarios (see 10.3 Educational Implications). Nevertheless, A.S.A.P., Ch.A.M.P and PolyCAFe have provided valuable insight and some features were reused, of course with the necessary improvements.
Book
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Dialogic Education and Technology is about using new technology to draw people into the kind of dialogues which take them beyond themselves into learning, thinking and creativity. The program of research reported in this book reveals key characteristics of learning dialogues and demonstrates ways in which computers and networks can deepen, enrich and expand such dialogues. A dialogic perspective is developed drawing upon recent work in communications theory, psychology, computer science and philosophy. This perspective foregrounds the creative space opened up by authentic dialogues. Whereas studies of computer-supported collaborative learning have tended to see dialogue as a means to the end of knowledge construction the dialogic perspective taken by this book sees dialogue as an end in itself - in fact moving learners into the space of dialogue is described as the core aim of education. The central argument of the book is that there is a convergence between this dialogic perspective in education and the affordances of new information and communications technology. A genuinely dialogic perspective is relatively new to the field of educational technology and there is a considerable amount of interest in this topic amongst researchers who wish to see what extra insights, if any, a dialogical approach can offer them. "This is an exciting book that synthesizes, clarifies and extends mounting discussions of dialogical thinking related to computer-supported education [...]. It is not only a delightful personal statement, but provokes thought on central issues of CSCL and enters into challenging dialog with the relevant alternative approaches. As a result of reading this book, I am convinced that we urgently need to open new online spaces for people to understandingly interact with different perspectives and creatively generate new insight and respect for difference." -Gerry Stahl Executive Editor of the International Journal of Computer Supported Collaborative Learning This book offers a set of lenses which give deep insight into education and the use of technologies for learning. The moves between empirical studies, theoretical reflections and discussion of the design of learning environments make the book very thought provoking. Ideas are not just treated as ideas but they become transformed into principles for design. Wegerif is convincing that the use of technology for the creation, maintaining and development of dialogical spaces has the potential for transforming and expanding educational experiences in a way which offers a needed vision of learning for the future. -Sten Ludvigsen Director of the InterMedia Centre for design, communication and learning University of Oslo
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The abstract for this document is available on CSA Illumina.To view the Abstract, click the Abstract button above the document title.
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In this paper is presented a novel dialogistic, socio-cultural perspective and an associated software tool, which provide structured visualisation and analysis means of Computer Supported Collaborative Learning chat conversations. The implemented tools use knowledge-based techniques and are based on Bakhtin's dialogistic paradigm. They visualize the threading of topics and utterances in the conversation and the contributions of the participants in collaborative learning during instant messenger chats. Natural language processing based on the WordNet lexical ontology and semantic distances are used for detecting topics in the chat and their threading. The experiments with the developed application were performed with students at a course on Human-Computer Interaction in Bucharest Politehnica University.
Book
Written in readable, vivid, non-technical prose, this book, first published in 2007, presents the highly respected scholarly research that forms the foundation for Deborah Tannen's best-selling books about the role of language in human relationships. It provides a clear framework for understanding how ordinary conversation works to create meaning and establish relationships. A significant theoretical and methodological contribution to both linguistic and literary analysis, it uses transcripts of tape-recorded conversation to demonstrate that everyday conversation is made of features that are associated with literary discourse: repetition, dialogue, and details that create imagery. This second edition features a new introduction in which the author shows the relationship between this groundbreaking work and the research that has appeared since its original publication in 1989. In particular, she shows its relevance to the contemporary topic 'intertextuality', and provides a useful summary of research on that topic.
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The publication of this volume was assisted in part by a grant from the National Endowment for the Humanities, an independent federal agency whose mission is to award grants to support education, scholarship, me-dia programming, libraries, and museums in order to bring the results of cultural activities to the general public. Preparation was made possible in part by a grant from the Translations Program of the endowment.
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1. Language as a tool for thinking 2. Laying the Foundations 3. The given and the new 4. Persuasion, control and argument 5. Communities 6. Development through dialogue 7. Investigating interthinking Conclusion