Knowledge Building Discourse Research Articles

Promoting elementary students’ epistemology of science through computer-supported knowledge-building discourse and epistemic reflection

ABSTRACTThis study examined the role of computer-supported knowledge-building discourse and epistemic reflection in promoting elementary-school students’ scientific epistemology and science learning. The participants were 39 Grade 5 students who were collectively pursuing ideas and inquiry for knowledge advance using Knowledge Forum (KF) while studying a unit on electricity; they also reflected on the epistemic nature of their discourse. A comparison class of 22 students, taught by the same teacher, studied the same unit using the school’s established scientific investigation method. We hypothesised that engaging students in idea-driven and theory-building discourse, as well as scaffolding them to reflect on the epistemic nature of their discourse, would help them understand their own scientific collaborative discourse as a theory-building process, and therefore understand scientific inquiry as an idea-driven and theory-building process. As hypothesised, we found that students engaged in knowledge-building discourse and reflection outperformed comparison students in scientific epistemology and science learning, and that students’ understanding of collaborative discourse predicted their post-test scientific epistemology and science learning. To further understand the epistemic change process among knowledge-building students, we analysed their KF discourse to understand whether and how their epistemic practice had changed after epistemic reflection. The implications on ways of promoting epistemic change are discussed.

Promising Ideas for Collective Advancement of Communal Knowledge Using Temporal Analytics and Cluster Analysis

Understanding ideas in a discourse is challenging, especially in textual discourse analysis. We propose using temporal analytics with unsupervised machine learning techniques to investigate promising ideas for the collective advancement of communal knowledge in an online knowledge building discourse. A discourse unit network was constructed and temporal analysis was carried out to identify promising ideas, which are improvable perceptions of significant relevance that aid in the understanding of discourse context and content. With the aid of a degree centrality–betweenness centrality (DC-BC) graph, more promising ideas were discovered. An additional analysis using multiple DC-BC graph snapshots at different discourse junctures illustrates the transition of these promising ideas over time. Machine learning in the form of k-means clustering further categorized promising ideas. Cluster centroids were calculated and represented the foci of discussions, while the movement of discourse units about cluster centroids reflected how ideas affected learning behaviours among the participants. Discourse units containing promising ideas were qualitatively verified. Overall, the results showed that the implementation of temporal analytics and clustering provided insights and feedback to users about idea-related processes in the discourse. The findings have implications for teachers, students, and researchers

Two tales of time: uncovering the significance of sequential patterns among contribution types in knowledge-building discourse

ABSTRACTAs collaborative learning is actualized through evolving dialogues, temporality inevitably matters for the analysis of collaborative learning. This study attempts to uncover sequential patterns that distinguish “productive” threads of knowledge-building discourse. A database of Grade 1–6 knowledge-building discourse was first coded for the posts’ contribution types and discussion threads’ productivity. Two distinctive temporal analysis techniques – Lag-sequential Analysis (LsA) and Frequent Sequence Mining (FSM) – were subsequently applied to detecting sequential patterns among contribution types that distinguish productive threads. The findings of LsA indicated that threads that were characterized by mere opinion-giving did not achieve much progress, while threads having more transitions among questioning, obtaining information, working with information, and theorizing were more productive. FSM further uncovered from productive threads distinguishing frequent sequences involving sustained theorizing, integrated use of evidence, and problematization of proposed theories. Based on the significance of studying temporality in collaborative learning revealed in the study, we advocate for more analytics tapping into temporality of learning.

Intertextuality and Multimodal Meanings in High School Physics: Written and Spoken Language in Computer-supported Collaborative Student Discourse

The study in this article examines and illustrates the intertextual meanings made by a group of high school science students as they embarked on a knowledge building discourse to solve a physics problem. This study is situated in a computer-supported collaborative learning (CSCL) environment designed to support student learning through a science inquiry unit enacted in a classroom. As the CSCL environment is intensively mediated by written texts and spoken dialogue, the environment presents a unique opportunity to investigate the relationship between intertextuality and collaborative knowledge-building. Drawing from a dialogic and semiotic perspective of intertextuality, a framework based on systemic functional linguistics was used to analyse the intertextual and multimodal relations between the written and spoken forms of language used to solve the physics problem. Results indicate that in a CSCL environment, the thematic integration of the written and spoken forms of language is critical in the progress of the collaborative inquiry. In particular, written texts provide the contextual meanings to facilitate the students’ collaborative discourse, while spoken language creates new meanings by building bridges across the written texts. The implications of these analyses and findings for classroom discourse as well as potential for future research are discussed.

Reflective assessment in knowledge building by students with low academic achievement

This study investigated whether and how students with low prior achievement can carry out and benefit from reflective assessment supported by the Knowledge Connections Analyzer (KCA) to collaboratively improve their knowledge-building discourse. Participants were a class of 20 Grade 11 students with low achievement taking visual art from an experienced teacher. We used multiple methods to analyze the students’ online discourse at several levels of granularity. Results indicated that students with low achievement were able to take responsibility for advancing collective knowledge, as they generated theories and questions, built on each others’ ideas, and synthesized and rose above their community’s ideas. Analysis of qualitative data such as the KCA prompt sheets, student interviews and classroom observations indicated that students were capable of carrying out reflective assessment using the KCA in a knowledge building environment, and that the use of reflective assessment may have helped students to focus on goals of knowledge building. Implications for how students with low achievement collaboratively improve their knowledge-building discourse facilitated by reflective assessment are discussed.

Knowledge building in teacher professional learning communities: Focus of meeting matters

Professional learning communities (PLCs) of teachers have potential as powerful professional development contexts. However, efforts to characterize and document teacher PLCs suggest that productive learning is the exception rather than the rule. This mixed methods case study derived indicators of knowledge building discourse and examined their prevalence in nine PLC meetings among English Language Arts teachers within the same school (3 grade band teams x 3 meetings each). Analyses indicated significantly more knowledge building in meetings focused on assessment systems as compared to meetings focused on instructional practices. Implications for ways in which PLCs could foster knowledge building are discussed.

Advancing knowledge‐building discourse through judgments of promising ideas

Evaluating promisingness of ideas is an important but underdeveloped aspect of knowledge building. The goal of this research was to examine the extent to which Grade 3 students could make promisingness judgments to facilitate knowledge-building discourse. A Promising Ideas Tool was added to Knowledge Forum software to better support knowledge‐building discourse. The tool helped students select promising ideas from their group’s written online discourse and then aggregate and display selections to support collective decision making regarding most promising directions for subsequent work. Students knew in advance that their selections would influence the direction of group work, and through iterations of procedures came to better understand how individually selected ideas would become the focus of class discussions and next knowledge‐building efforts. The basic design was repeated over two cycles of promising-idea selections, discussions, and follow-up activity to refine ideas. Qualitative and quantitative results indicated that students as young as 8 years of age could make promisingness judgments benefiting their community. Through use of the Promising Ideas Tool and discussion based on results from its use, Grade 3 students achieved significantly greater knowledge advances than students not engaged in promisingness judgments and discussions.

Argumentation-Based Collaborative Inquiry in Science Through Representational Work: Impact on Primary Students’ Representational Fluency

This study explored the impact of argumentation-promoting collaborative inquiry and representational work in science on primary students’ representational fluency. Two hundred sixty-six year 6 students received instruction on natural disasters with a focus on collaborative inquiry. Students in the Comparison condition received only this instruction. Students in the Explanation condition were also instructed with a focus on explanations using representations. Students in the Argumentation condition received similar instruction to the Comparison and Explanation conditions but were also instructed with a focus on argumentation using representations. Conceptual understanding and representational competencies (interpreting, explaining and constructing representations) were measured prior to and immediately following the instruction. A small group collaborative representational task was video recorded at the end of the instruction and coded for modes of knowledge-building discourse; knowledge-sharing and knowledge-construction. Higher measures of conceptual understanding, representational competencies and knowledge-construction discourse were taken together as representational fluency. Students in all conditions showed significant improvement in conceptual understanding, interpreting representations and explaining representations. Students in the Comparison and Argumentation conditions also showed significantly improved scores in constructing representations. When compared to the other conditions, the Explanation group had the highest scores in conceptual understanding and also interpreting and explaining representations. While the Argumentation group had the highest scores for constructing representations, their scores for conceptual understanding as well as interpreting and explaining representations were also high. There was no difference between the groups in knowledge-sharing discourse; however, the Argumentation group displayed the highest incidence of knowledge-construction discourse. The paper discusses how a collaborative inquiry instructional focus on explanation-building using representations fosters representational competencies, while a collaborative inquiry instructional focus on argumentation and explanation using representations promotes representational fluency.

Can Collaborative Knowledge Building Promote Both Scientific Processes and Science Achievement?

This study investigated the role of collective knowledge building in promoting scientific inquiry and achievements among Hong Kong high-school chemistry students. The participants included 34 Grade 10 (15-16 years old) students who engaged in collective inquiry and progressive discourse, using Knowledge Forum@, a computer-supported learning environment. A comparison class of 35 students also participated in the study. The instructional design, premised on knowledge-building principles including epistemic agency, improvable ideas and community knowledge, consisted of several components: developing a collaborative classroom culture, engaging in problem-centered inquiry, deepening the knowledge-building discourse, and aligning assessment with collective learning. Quantitative findings show that the students in the knowledge-building classroom outperformed the comparison students in scientific understanding with sustained effects in public examination. Analyses of knowledge-building dynamics indicate that the students showed deeper engagement and inquiry over time. Students’ collaboration and inquiry on Knowledge Forum significantly predicted their scientific understanding, over and above the effects of their prior science achievement. Qualitative analyses suggest how student’s knowledge-creation discourse, involving explanatory inquiry, constructive use of information and theory revision,can scaffold scientific understanding.

Knowledge Building Discourse Explorer: a social network analysis application for knowledge building discourse

In recent studies of learning theories, a new methodology that integrates two prevailing metaphors of learning (acquisition and participation) has been discussed. However, current analytical techniques are insufficient for analyzing how social knowl- edge develops through learners' discourse and how individual learners contribute to this development. In this paper, we propose a novel approach to analyzing learning from an integrative perspective and present a social network analysis application that uses learner discourse as input data: Knowledge Building Discourse Explorer (KBDeX). To investigate the utility of this approach, discourse data analyzed in a previous study is re-examined through social network analysis supported by KBDeX. Results suggest that social network analysis can qualitatively and quantitatively support the conclusions from the previous study. In addition, social network analysis can reveal potential points that are pivotal for social knowledge advancement in groups, and can identify each individual's contribution to this advancement. On the basis of these results, we discuss how social network analysis could be integrated into existing in-depth discourse analysis.

Facilitating growth in prospective teachers’ knowledge: teaching geometry in primary schools

This paper reports on a study that focused on growth of understanding about teaching geometry by a group of prospective teachers engaged in lesson plan study within a computer-supported collaborative learning (CSCL) environment. Participation in the activity was found to facilitate considerable growth in the participants’ pedagogical-content knowledge (PCK). Factors that influenced growth in PCK included the nature of the lesson planning task, the cognitive scaffolds inserted into the CSCL virtual space, the meta-language scaffolds provided to the participants, and the provision of both private and public discourse spaces. The paper concludes with recommendations for enhancing effective knowledge-building discourse about mathematics PCK within prospective teacher education CSCL environments.

Learners' use of SNA-based discourse analysis as a self-assessment tool for collaboration

In this paper, we examine a methodology for assessing ‘21st century skills’ in the classroom. We have developed a tool named the knowledge building discourse explorer (KBDeX) to facilitate social network analysis-based analysis of collaborative learning discourses. A purpose of this study is to assess the capability of KBDeX as a self-assessment tool for learners. An experimental study was conducted with seven university students, and the results were qualitatively evaluated. This paper presents four cases of students using the tool, and analyses the following: 1 the semantic relationship of words 2 trend analysis using degree centrality charts 3 analysis of pivotal points, phases, and characteristics of the discussion 4 analysis of a social network by using semantics. We confirmed satisfactory results that student findings fit within the theoretical framework of the network analysis and were grounded by discourse data.

Transforming the Social Practices of Learning with Representations: A Study of Disciplinary Discourse

This study used an interactive dynamic simulation of action potential to explore social practices of learning among first year undergraduate biology students. It aimed to create a learning environment that fosters knowledge building discourse through working with multiple concept-specific representations. Three hundred and eighty-nine students and twenty-four tutors from different tutorial classes in Queensland, Australia participated in the study. Students were randomly allocated to two experimental groups and a comparison group. In the experimental groups, pairs of students used the interactive simulation to explore action potential. Only one of the experimental groups received instruction that modelled the scientific and visual language conventions of the representations within the simulation. In the comparison group, small groups of students used a traditional paper-based activity. Students across all groups were audio recorded using a think-aloud protocol while completing the group activity. Individual learning gains in the experimental groups and the comparison group were similar. However, the experimental groups showed a significantly greater frequency of knowledge construction discourse that included explanatory answers, evaluations, interpretation, testing and synthesis compared to the comparison group, indicating a deeper understanding of action potential. Analysis of misconceptions on the post-test and tutors’ reflections revealed that the experimental group receiving instruction modelling the scientific and visual language conventions around the representations had a better grasp of the terminology associated with the concepts compared with the other groups. The findings suggest that instruction focussing on the language conventions of concept-specific representations fosters the development of disciplinary discourse by transforming students’ social practices of working with scientific knowledge.

KBDeX: A Platform for Exploring Discourse in Collaborative Learning

Knowledge building as defined in this study is emergent collaborative learning on ill-structured tasks. Although discourses in collaborative learning have been analyzed with traditional qualitative approaches in the learning sciences field, it is difficult to capture the group dynamics. Hence, we are trying to establish a methodology for discourse analysis in collaborative learning from the perspective of complex network science. In order to conduct this study effectively, we are currently developing an application platform, called Knowledge Building Discourse Explorer (KBDeX). The goal of this project is not only to facilitate productive communication between researchers who are concerned with research on knowledge building or emergent collaborative learning, but also to encourage students to explore their own group dynamics by themselves. KBDeX is an analysis platform to visualize network structures of discourse based on the bipartite graph of words × discourse units. KBDeX can visualize them into three different network structures of: (1) students, (2) discourse units, and (3) selected words. The users can explore these three networks with its coefficients and analyze the discourse across phases or in a and stepwise way. Using discourse which has been already analyzed with a traditional qualitative approach, we will demonstrate the beneficial attributes of the KBDeX platform.

Beyond Learning Management Systems: Designing for Interprofessional Knowledge Building in the Health Sciences

This paper examines theoretical, pedagogical, and technological differences between two technologies that have been used in undergraduate interprofessional health sciences at the University of Toronto. One, a learning management system, WebCT 2.0, supports online coursework. The other, a Knowledge Building environment, Knowledge Forum 2.0, supports the collaborative work of knowledge-creating communities. Seventy students from six health science programs (Dentistry, Medicine, Nursing, Occupational Therapy, Pharmacy and Physical Therapy) participated online in a 5-day initiative to advance understanding of core principles and professional roles in pain assessment and management. Knowledge Forum functioned well as a learning management system but to preserve comparability between the two technologies its full resources were not brought into play. In this paper we examine three distinctive affordances of Knowledge Forum that have implications for health sciences education: (1) supports for Knowledge Building discourse as distinct from standard threaded discourse; (2) integration of sociocognitive functions as distinct from an assortment of separate tools; and (3) resources for multidimensional social and cognitive assessment that go beyond common participation indicators and instructor-designed quizzes and analyses. We argue that these design characteristics have the potential to open educational pathways that traditional learning management systems leave closed.

Reading for idea advancement in a Grade 4 knowledge building community

This study looks into the reading practice in a Grade 4 knowledge building community that involved 22 students and a veteran teacher. The students investigated light over a three-month period supported by Knowledge Forum, a networked collaborative knowledge-building environment. The classroom designs encouraged the students to take on high-level responsibility for advancing the community’s knowledge, as represented in their online discourse in Knowledge Forum. The tracing of student conversations in Knowledge Forum and content analysis of their portfolio notes demonstrate productive advancement of scientific understanding. Qualitative analyses of classroom videos, online discourse, and the teacher’s reflection journal characterize student reading practice along four themes: reading for the purpose of advancing community knowledge; as progressive problem solving; embedded in sustained knowledge-building discourse; and as dialogues between local understanding and knowledge in the larger world. These results contribute to elaborating the possibility and processes of integrating reading with creative knowledge work in content areas. Classroom strategies are identified and discussed in relation to the role of collaborative online technologies.

Toward pervasive knowledge building discourse: analyzing online and offline discourses of primary science learning in Singapore

This research examined discourses in classroom and online learning environments where the Knowledge Building Community model was enacted to foster deep understanding in science learning in Singapore primary classes. This study posited that discourse is a fundamental form of learning that reveals how knowledge building is enacted and embodied by a community of learners. Discourses in classroom lessons and online postings were analyzed from both quantitative and qualitative views. Overall, the discourse analysis of the verbal activities in classroom lessons showed clear signs of IRE (Initiation–Response–Evaluation) patterns of discourse, while more diversity of ideas and questions were found in Knowledge Forum postings. However, online discourse showed some instances of incorrect group thinking and fear of appearing ignorant. In conclusion, we discuss implications of findings and future research directions for creating pervasive knowledge building discourse.

Participation in Knowledge-Building Discourse: An Analysis of Online Discussions in Mainstream and Honours Social Studies Courses

Questions about the suitability of cognitively-oriented instructional approaches for students of different academic levels are frequently raised by teachers and researchers. This study examined student participation in knowledge-building discourse in two implementations of a short inquiry unit focusing on environmental problems. Participants in each implementation consisted of students taking a mainstream or an honours version of a tenth grade social studies course. We retrieved data about students’ actions in Knowledge Forum® (e.g., the number of notes created and the percentage of notes with links), and conducted a content analysis of the discourse by each collaborative group. We suggest the findings provide cause for optimism about the use of knowledge-building discourse across academic levels: there was moderate to strong evidence of knowledge building in both classes by Implementation 2. We end with suggestions for focusing online work more directly on knowledge building. Résumé Les enseignants et les chercheurs soulèvent fréquemment des questions quant au caractère approprié des approches pédagogiques cognitives pour les élèves de différents niveaux scolaires. La présente étude a examiné la participation des étudiants à la coélaboration des connaissances lors de la formation, à deux reprises, d’une unité d’enquête de courte durée axée sur les problèmes environnementaux. Pour chacun des deux essais, les participants étaient des élèves qui suivaient un programme d’études de dixième année, soit général, soit spécialisé en sciences sociales. Nous avons récupéré des données sur les actions des élèves dans le Knowledge Forum (par exemple, le nombre de notes créées et le pourcentage de notes avec des liens) et nous avons analysé le contenu du discours de chaque groupe de collaboration. Nous pensons que les résultats incitent à l’optimisme et qu’il est possible de parler de coélaboration des connaissances entre les niveaux scolaires : des données probantes moyennement rigoureuses ou rigoureuses montrant la coélaboration des connaissances ont été obtenues dans les deux classes lors du deuxième essai. Nous concluons avec des suggestions pour orienter plus directement les travaux en ligne sur la coélaboration de connaissances.

Professional Development of Teachers for Computer-Supported Collaborative Learning: A Knowledge-Building Approach

Background This study was situated in Singapore, which aims to achieve engaged learning in P–12 schools with the use of educational technology. One of the foci of study among Singaporean educational researchers on a computer-supported collaborative learning (CSCL) environment that emphasizes collaboration among learners for the co-construction of knowledge. Although there is some evidence that CSCL enhances students’ learning, an identified gap in the field of CSCL is documented accounts of how knowledge building happens. Knowledge of how to facilitate sustained and in-depth knowledge-building discourse among teachers has also been identified as a gap in understanding in teacher education. Purpose This case study aims to gain insights into how negotiation and co-construction of knowledge occurs among eachers during their participation in a knowledge-building community. Participants It involves 7 Singaporean teachers who enrolled in an 18-month Advanced Diploma program. Intervention Three consecutive modules were conducted to develop the participants’ competencies in and dispositions toward facilitating student-centered learning in a computer-supported collaborative learning (CSCL) environment. The modules engaged the teachers as coc-onstructors of knowledge in a knowledge-building community. Research Design This is a case study in which the first author, as a participant observer, acted as the facilitator for the modules. Data Analysis The main source of data was the teachers’ notes in Knowledge Forum, a CSCL environment. The teachers’ patterns of online interactions were analyzed through social network analysis and the interaction analysis model (IAM). Findings Our findings indicate that the teachers formed a socially cohesive community and participated rather actively, writing an average of 3.7 notes and 425 words per week. Further analysis of the notes using IAM shows a healthy distribution of notes at various phases of knowledge construction. Conclusion We conclude that the teacher knowledge-building community was successful in engaging the teachers in collaborative knowledge building, leading to a deep understanding among them about learning in a CSCL environment. We suggest the following factors as contributors to this advancement: (1) having a group of committed teachers as participants, (2) engaging the teachers to work on authentic problems faced in schools, (3) empowering the teachers with the agency to solve problems and reflect on their learning, (4) allocating adequate time for teachers to link theories to practice and to reflect on their implementation, and (5) having a facilitator who is experienced in facilitating this form of learning and in using a pedagogical model that is built on appropriate learning theories.

Facilitating Collaborative Knowledge Building

This article describes a detailed analysis of knowledge building in a problem-based learning group. Knowledge building involves increasing the collective knowledge of a group through social discourse. For knowledge building to occur in the classroom, the teacher needs to create opportunities for constructive discourse in order to support student learning and collective knowledge building. In problem-based learning, students learn through collaborative problem solving and reflecting on their experiences. The setting for this study is a group of second-year medical students working with an expert facilitator. The analysis was designed to understand how the facilitator provided opportunities for knowledge-building discourse and how the learners accomplished collective knowledge building. We examined episodes of knowledge-building discourse, the questions and statements that the students and facilitator generated throughout the tutorial, the change in their understanding of the problem that they were solving, and the collective knowledge that was constructed. The results indicate that the group worked to progressively improve their ideas through engaging in knowledge-building discourse. The facilitator helped support knowledge building through asking open-ended metacognitive questions and catalyzing group progress. Students took responsibility for advancing the group's understanding as they asked many high-level questions and built on each others thinking to construct collaborative explanations. The results of this study provide suggestions for orchestrating knowledge-building discourse.