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Abstract

This study examines four months of online discourse of 22 Grade 4 students engaged in efforts to advance their understanding of optics. Their work is part of a school-wide knowledge building initiative, the essence of which is giving students collective responsibility for idea improvement. This goal is supported by software—Knowledge Forum—designed to provide a public and collaborative space for continual improvement of ideas. A new analytic tool—inquiry threads—was developed to analyze the discourse used by these students as they worked in this environment. Data analyses focus on four knowledge building principles: idea improvement; real ideas, authentic problems (involving concrete/empirical and abstract/conceptual artifacts); community knowledge (knowledge constructed for the benefit of the community as a whole); and constructive use of authoritative sources. Results indicate that these young students generated theories and explanation-seeking questions, designed experiments to produce real-world empirical data to support their theories, located and introduced expert resources, revised ideas, and responded to problems and ideas that emerged as community knowledge evolved. Advances were reflected in progress in refining ideas and evidence of growth of knowledge for the community as a whole. Design strategies and challenges for collective idea improvement are discussed.
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Socio-cognitive dynamics of knowledge building in the work of 9- and 10-year-old
Jianwei Zhang; Marlene Scardamalia; Mary Lamon; Richard Messina; Richard Reeve
Educational Technology, Research and Development; Apr 2007; 55, 2; Academic Research Library
pg. 117
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... Extensive analytical frameworks can be found in the literature to understand shared epistemic agency in KB discourse. Some prominent frameworks include theory building moves (Chuy et al., 2010), epistemic complexity (Zhang et al., 2007(Zhang et al., , 2009(Zhang et al., , 2022 and threads analysis (Lin & Chan, 2018). These analytical frameworks inform shared epistemic agency based on students' agentic moves such as how they contribute to improving ideas or expand inquiry. ...
... Hence, while more studies are needed to enhance this understanding, the measurement of shared epistemic agency in KB discourse is also in question. A key focus is the characterisation of students' ideas or discourse moves (e.g., Chuy et al., 2010;Zhang et al., 2007Zhang et al., , 2022. Chuy et al. (2010) proposed theory-building moves to code student discourse, developing an empirically grounded list of six major ways to contribute to productive KB discourse: asking thought-provoking questions, theorising, experimenting, working with evidence, creating syntheses and analogies, and supporting discussion. ...
... Chuy et al. (2010) proposed theory-building moves to code student discourse, developing an empirically grounded list of six major ways to contribute to productive KB discourse: asking thought-provoking questions, theorising, experimenting, working with evidence, creating syntheses and analogies, and supporting discussion. In a different study, Zhang et al. (2007) examined Grade 4 students' contributions based on the quality of their ideas. They developed the epistemic complexity scheme to categorise students' ideas into explanation-seeking versus fact-seeking questions and single-area versus cross-area questions. ...
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... Collaborative interactions within the KB context encompass a multifaceted process involving the exchange of ideas and explanations, negotiation of meaning and interpretations, and the collective construction of understanding among peers (Dillenbourg, 1999;Roschelle & Teasley, 1995;Yang et al., 2022;Yang, Chen, et al., 2024;Yang, Yuan, et al., 2024;Zhang, Yan, et al., 2022). Collaborative interactions lie at the heart of this process, facilitating the exchange of resources and ideas, the formulation of questions, the co-creation of concepts, and the development of theories (Scardamalia & Bereiter, 2014;Yang, Chen, et al., 2024;Yang, Yuan, et al., 2024;Zhang et al., 2007;Zhang, Yan, et al., 2022). These collaborative interactions are crucial for the advancement of KB, requiring students to collaborate in their pursuit of inquiries and the creation of new knowledge. ...
... This approach helped us obtain insights into the main problems discussed in the notes and also set the context for the subsequent content analysis of notes within each inquiry thread. An inquiry thread is a group of notes that address the same primary problem (Zhang et al., 2007). Inquiry thread analysis has been widely validated as a useful method for qualitatively analyzing and grouping Knowledge Forum notes (e.g. ...
... Inquiry thread analysis has been widely validated as a useful method for qualitatively analyzing and grouping Knowledge Forum notes (e.g. Yang, Chen, et al., 2024;Yang, Feng, et al., 2023;Yang, Yuan, et al., 2024;Zhang et al., 2007;Zhang, Yan, et al., 2022). ...
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... The understanding of what and how students contribute to improve ideas and their engagement in KB discourse have been of interest among researchers. In fact, to understand student engagement in KB discourse, various frameworks have been proposed to characterise student discourse moves such as theory building moves (Chuy et al., 2010) and idea complexity (Zhang et al., 2007). Recent works suggest quantitative modelling techniques such as Epistemic Network Analysis (ENA) to assess connections between student moves (Ma et al., 2019). ...
... Several ways of understanding student contributions in KB discourse have been proposed in the field. One notable area of focus is on the characterisation of students' ideas or discourse moves (e.g., Chuy et al., 2010;Zhang et al., 2007;. Notably, Chuy and colleagues proposed the theory building moves to code student discourse moves. ...
... Questions may be categorised into explanation-seeking versus fact-seeking questions and single-area versus cross-area questions. According to Zhang et al. (2007), students' contributions can also be assessed based on the level of scientific sophistication (pre-scientific; hybrid; basically scientific; and scientific) and the level of epistemic complexity (unelaborated facts; elaborated facts; unelaborated explanations; elaborated explanations). ...
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... Analogous to the social practice of critique in science, peer critique encompasses the process of evaluating peers' products and revising one's own in responding to critique, ultimately aiming for knowledge advancement. Peer critique intrinsically involves disagreement, as it stimulates students to challenge and question alternative positions and ideas, thus fostering an environment conducive to collective knowledge building (González-Howard & McNeill, 2020;Tan et al., 2023;Tasker & Herrenkohl, 2016;Zhang et al., 2007). Knowledge building refers here to the general practice where students collectively create and improve shared and new-to-the-learners' ideas (knowledge) around a new concept. ...
... Additionally, research drawing on the knowledge building framework (Scardamalia & Bereiter, 2006), which underscores creating and improving ideas collectively within a communal knowledge space, has also explored the significance of critique in supporting students' knowledge building. For example, Zhang et al. (2007) found that using the Knowledge Forum CSCL environment supported students in articulating alternative ideas (e.g., using "I disagree, because") and challenging their peers' ideas, contributing to conceptual advancement. Collectively, these studies and others offer compelling evidence that peer critique promotes generating diverse ideas and refining ideas and work that drive collective knowledge advancement. ...
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... KB discourse and meta-discourse develop and arise over time. Some studies analyzed students' discourses' changes crossed different inquiry phases or different groups using coding and counting approach (van Aalst, 2009;Zhang et al., 2007). However, the temporal patterns of KB processes within each phase were ignored. ...
... This is particularly important because the types of questions students pose can yield different learning outcomes. Explanation-seeking questions foster deeper understanding, which is more effective for knowledge construction than fact-based questions (Hakkarainen, 2003;Zhang et al., 2007). Research shows that students generating factual questions primarily build basic knowledge, while those posing explanation-seeking questions tend to develop more comprehensive explanations of the content (van Aalst, 2009). ...
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