Methodological issues in developing a multi-dimensional coding procedure for small group chat communication

In CSCL research, collaboration through chat has primarily been studied in dyadic settings. This article discusses three issues that emerged during the development of a multi-dimensional coding procedure for small group chat communication: a) the unit of analysis and unit fragmentation, b) the reconstruction of the response structure and c) determining reliability without overestimation. Threading, i.e. connections between analysis units, proved essential to handle unit fragmentation, to reconstruct the response structure and for reliability of coding. In addition, a risk for reliability overestimation was illustrated. Implications for analysis methodology in CSCL are discussed

Socially-Motivated Discussion Forum Models for Learning Management Systems

This paper seeks to contribute to the field of learning management system (LMS) development in tertiary education institutions, in particular, to advance the adoption of LMSes by exploring the incorporation of appropriate socially-motivated discussion forums. This study uses a Web-based application, which implements four different discussion forum models for learning management systems (LMSes), in order to test usability and student preferences. Two non-social discussion forums and two social discussion forums were compared, to determine their appropriateness in terms of attributes or features and general functionality for LMSes. The design processes led to the creation of a Web-based application called 4DFs that includes implementations of all discussion forum models. Two of these models are non-social discussion forums: the chat room unstructured model and the traditional general threaded discussion. The other two types are social discussion forums, where users can choose who they converse with: the Twitter-style short comment feed and the Facebook-style hybrid post and reply. A controlled experiment was conducted with 31 students from the institution. The study found that students preferred that the learning forum includes certain characteristics - they prioritised ease of use, low complexity, less interaction and a user-friendly interface over their familiarity with the forum. For learning, there is a need to use the features for a specific purpose so users do not necessarily want non-essential features like emojis; instead they want systems that help them to learn efficiently

Turning Unstructured and Incoherent Group Discussion into DATree: A TBL Coherence Analysis Approach

Despite the rapid growth of user-generated unstructured text from online group discussions, business decision-makers are facing the challenge of understanding its highly incoherent content. Coherence analysis attempts to reconstruct the order of discussion messages. However, existing methods only focus on system and cohesion features. While they work with asynchronous discussions, they fail with synchronous discussions because these features rarely appear. We believe that discussion logic features play an important role in coherence analysis. Therefore, we propose a TCA method for coherence analysis, which is composed of a novel message similarity measure algorithm, a subtopic segmentation algorithm and a TBL-based classification algorithm. System, cohesion and discussion logic features are all incorporated into our TCA method. Results from experiments showed that the TCA method achieved significantly better performance than existing methods. Furthermore, we illustrate that the DATree generated by the TCA method can enhance decision-makers’ content analysis capability

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

Visualization of agreement and discussion processes during computer-supported collaborative learning

This study examined the effects of the shared space (SS) on students’ behaviors in a computer-supported collaborative learning (CSCL) environment. The SS visualizes discussion and agreement during online discussions. It was hypothesized the SS would increase the media richness of the CSCL-environment, would stimulate critical and exploratory group-norms, would lead to more positive perceptions of online collaboration, and would have an impact on students’ collaborative activities. In total, 59 students working in 20 groups had access to the SS visualization, while 58 students working in 20 groups did not. The results show that students with access to the SS visualization: (a) perceived higher media richness; (b) had a more exploratory group-norm perception; (c) perceived more positive group behavior; (d) perceived their group’s task strategies to be more effective; (e) engaged in different collaborative activities and (f) performed better on one part of the group task. These results demonstrate the potential benefits of visualizing agreement and discussion during CSCL

Depict: A Tool to Represent Classroom Scenarios

A functional version of Depict can be found at www.lessonsketch.orgThis document describes design features of Depict, a web based software that allows users to represent classroom scenarios using comics. The document provides the conceptual bases of the design and a description of the user interface. The document also sketches out a direction for further development.This work has been done with support from NSF grants ESI-0353285 and DRL- 0918425 to Patricio Herbst.http://deepblue.lib.umich.edu/bitstream/2027.42/87949/1/Depict_2011.pdf-

Design Science Research para o Desenvolvimento de um Modelo da Participação em Bate-papo

O grande crescimento da Educação a Distância no Brasil e o intenso uso do bate-papo nessa modalidade motivaram o estudo apresentado neste artigo. A pesquisa tem um duplo objetivo: demonstrar a influência do tamanho do grupo na participação em bate-papo educacional e produzir um modelo matemático para estimar a quantidade máxima de alunos que devem participar de um bate-papo mantendo o nível de participação desejado pelo professor. A metodologia usada foi a Design Science Research, que orienta a realização de uma pesquisa comportamental aliada à produção de um artefato. As estimativas produzidas pelo modelo foram confrontadas com dados reais e mostraram precisão adequada corroborando para sua validade