Dialogue as Data in Learning Analytics for Productive Educational Dialogue

This paper provides a novel, conceptually driven stance on the state of the contemporary analytic challenges faced in the treatment of dialogue as a form of data across on- and offline sites of learning. In prior research, preliminary steps have been taken to detect occurrences of such dialogue using automated analysis techniques. Such advances have the potential to foster effective dialogue using learning analytic techniques that scaffold, give feedback on, and provide pedagogic contexts promoting such dialogue. However, the translation of much prior learning science research to online contexts is complex, requiring the operationalization of constructs theorized in different contexts (often face-to-face), and based on different datasets and structures (often spoken dialogue). In this paper, we explore what could constitute the effective analysis of productive online dialogues, arguing that it requires consideration of three key facets of the dialogue: features indicative of productive dialogue; the unit of segmentation; and the interplay of features and segmentation with the temporal underpinning of learning contexts. The paper thus foregrounds key considerations regarding the analysis of dialogue data in emerging learning analytics environments, both for learning-science and for computationally oriented researchers

Computational Sociolinguistics: A Survey

Language is a social phenomenon and variation is inherent to its social nature. Recently, there has been a surge of interest within the computational linguistics (CL) community in the social dimension of language. In this article we present a survey of the emerging field of "Computational Sociolinguistics" that reflects this increased interest. We aim to provide a comprehensive overview of CL research on sociolinguistic themes, featuring topics such as the relation between language and social identity, language use in social interaction and multilingual communication. Moreover, we demonstrate the potential for synergy between the research communities involved, by showing how the large-scale data-driven methods that are widely used in CL can complement existing sociolinguistic studies, and how sociolinguistics can inform and challenge the methods and assumptions employed in CL studies. We hope to convey the possible benefits of a closer collaboration between the two communities and conclude with a discussion of open challenges.Comment: To appear in Computational Linguistics. Accepted for publication: 18th February, 201

Supportive technologies for group discussion in MOOCs

A key hurdle that prevents MOOCs from reaching their transformative potential in terms of making valuable learning experiences available to the masses is providing support for students to make use of the resources they can provide for each other. This paper lays the foundation for meeting this challenge by beginning with a case study and computational modeling of social interaction data. The analysis yields new knowledge that informs design and development of novel, real-time support for building healthy learning communities that foster a high level of engagement and learning. We conclude by suggesting specific areas for potential impact of new technology

Work Groups and Teams in Organizations: Review Update

This review chapter examines the literature on work team effectiveness. To begin, we consider their nature, define them, and identify four critical conceptual issues—context, workflow, levels, and time—that serve as review themes and discuss the multitude of forms that teams may assume. We then shift attention to the heart of the review, examining key aspects of the creation, development, operation, and management of work teams. To accomplish objectives of breadth and integration, we adopt a lifecycle perspective to organize the review. Topics involved in the team lifecycle include: (1) team composition; (2) team formation, socialization, and development; (3) team processes, effectiveness, and enhancements; (4) team leadership and motivation; (5) and team continuance and decline. We characterize representative theory and research, identify thematic limitations, and highlight work that is beginning to push the boundaries on our critical conceptual issues. We also address application concerns where possible. Finally, we close with a discussion that reflects back on the topics, considers the state of progress regarding our critical conceptual themes, and suggests directions for new research to foster continued progress and development

A Computational Linguistic Analysis of Learners Discourse in Computer-Mediated Group Learning Environments

Communication, collaboration and the social co-construction of knowledge are now considered critical 21st century skills and have taken a principal role in recent theoretical and technological developments in education research. The overall objective of this dissertation was to investigate collaborative learning to gain insight on why some groups are more successful than others. In such discussions, group members naturally assume different roles. These roles emerge through participants’ interactions without any prior instruction or assignment. Different combinations of these roles can produce characteristically different group outcomes, being either less or more productive towards collective goals. However, there has been little research on how to automatically identify these roles and fuse the quality of the process of collaborative interactions with the learning outcome. A major goal of this dissertation is to develop a group communication analysis (GCA) framework, a novel methodology that applies automated computational linguistic techniques to the sequential interactions of online group communication. The GCA involves computing six distinct measures of participant discourse interaction and behavioral patterns and then clustering participants based on their profiles across these measures. The GCA was applied to several large collaborative learning datasets, and identified roles that exhibit distinct patterns in behavioral engagement style (i.e., active or passive, leading or following), contribution characteristics (i.e., providing new information or echoing given material), and social orientation. Through bootstrapping and replication analysis, the roles were found to generalize both within and across different collaborative interaction datasets, indicating that these roles are robust constructs. A multilevel analysis shows that the social roles are predictive of success, both for individual team members and for the overall group. Furthermore, the presence of specific roles within a team produce characteristically different outcomes; leading to specific hypotheses as to optimal group composition. Ideally, the developed analytical tools and findings of this dissertation will contribute to our understanding of how individuals learn together as a group and thereby advance the learning and discourse sciences. More broadly, GCA provides a framework to explore the intra- and inter-personal patterns indicative of the participants’ roles and the sociocognitive processes related to successful collaboration

Understanding Collaborative Sensemaking for System Design — An Investigation of Musicians\u27 Practice

There is surprisingly little written in information science and technology literature about the design of tools used to support the collaboration of creators. Understanding collaborative sensemaking through the use of language has been traditionally applied to non-work domains, but this method is also well-suited for informing hypotheses about the design collaborative systems. The presence of ubiquitous, mobile technology, and development of multi-user virtual spaces invites investigation of design which is based on naturalistic, real world, creative group behaviors, including the collaborative work of musicians. This thesis is considering the co-construction of new (musical) knowledge by small groups. Co-construction of new knowledge is critical to the definition of an information system because it emphasizes coordination and resource sharing among group members (versus individual members independently doing their own tasks and only coming together to collate their contributions as a final product). This work situates the locus of creativity on the process itself, rather than on the output (the musical result) or the individuals (members of the band). This thesis describes a way to apply quantitative observations to inform qualitative assessment of the characteristics of collaborative sensemaking in groups. Conversational data were obtained from nine face-to-face collaborative composing sessions, involving three separate bands producing 18 hours of recorded interactions. Topical characteristics of the discussion, namely objects, plans, properties and performance; as well as emergent patterns of generative, evaluative, revision, and management conversational acts within the group were seen as indicative of knowledge construction. The findings report the use of collaborative pathways: iterative cycles of generation, evaluation and revision of temporary solutions used to move the collaboration forward. In addition, bracketing of temporary solutions served to help collaborators reuse content and offload attentional resources. Ambiguity in language, evaluation criteria, goal formation, and group awareness meant that existing knowledge representations were insufficient in making sense of incoming data and necessitated reformulating those representations. Further, strategic use of affective language was found to be instrumental in bridging knowledge gaps. Based on these findings, features of a collaborative system are proposed to help in facilitating sensemaking routines at various stages of a creative task. This research contributes to the theoretical understanding of collaborative sensemaking during non-work, creative activities in order to inform the design of systems for supporting these activities. By studying an environment which forms a potential microcosm of virtual interaction between groups, it provides a framework for understanding and automating collaborative discussion content in terms of the features of dialogue

Analysis of Collaborative Argumentation in Text-based Classroom Discussions

Collaborative argumentation can be defined as the process of building evidence-based, reasoned knowledge through dialogue and it is the foundation for text-based, student-centered classroom discussions. Previous studies for analyzing classroom discussions, however, have not focused on the actual content of student talk. In this thesis, we develop a framework for analyzing student talk in multi-party, text-based classroom discussions to understand how students interact and collaboratively build arguments. The proposed framework will simultaneously consider multiple features, namely argumentation, specificity and collaboration. We additionally propose computational models to investigate three aspects: 1) automatically predicting specificity; 2) automatically predicting argument components, and investigating the importance of speaker-dependent context; 3) using multi-task learning to jointly predict all aspects of student talk and improve reliability

Reconstructing rationality: Agency and inquiry in John Dewey's project as a foundation for social and urban planning.

The aim of this thesis is to develop a new concept of rationality in the field of planning and policy design. The argument maintains that classical pragmatism, in particular John Dewey's work, holds the key for a thorough and timely reconstruction of deliberative rationality. The current project will develop a received "traditional" model of rational planning based on the Humean model of rational agency. This "linear instrumental rationality" model will be criticised by challenging its agency theoretic presuppositions. The thesis will interpret Dewey's epistemological, ethical and metaphysical contributions as chiefly aimed toward a reconstruction of the Humean "Folk-Model" of agency and rationality. Dewey's notions of imagination and intelligent inquiry will be discussed as central concepts in developing a new model of rational agency. His understanding of deliberative democracy as embodying effective social intelligence bridges agency theoretic discussions and collective deliberation and planning. This thesis aspires to be both a conceptual philosophical exploration and a contribution to planning theory that can provide understanding and guidance in applied contexts. Two chapters at the ends will deal with the consequences of this Deweyan reconstruction project for planning theory and practice. A novel model of rational planning will be developed and the move from a traditional "linear instrumental" understanding of rational planning to a new "situational transactive" model will be illustrated in two case studies of urban land use planning in the German Ruhr region