Expressing Uncertainty in Computer-Mediated Discourse: Language as a Marker of Intellectual Work

Jordan, Michelle E.; Schallert, Diane L.; Park, Yangjoo; Lee, SoonAh A.; Chiang, Yueh hui Vanessa; Cheng, An Chih Janne; Song, Kwangok; Chu, Hsiang Ning Rebecca; Kim, Tae-Hee; Lee, Haekyung

doi:10.1080/0163853x.2012.722851

Cited by 29 publications

(14 citation statements)

References 47 publications

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“…Through their rhetorical moves, students managed uncertainty by keeping the talk focused on issues about which they were uncertain. Jordan et al (2012) examined how college learners enacted patterns of linguistic uncertainty within and across online messages and discussions as they collaborated to construct understandings of new concepts from course readings. However, these authors did not investigate the relationship between students' subjective experiences of uncertainty and their uncertainty expressions.…”

Section: Managing Uncertaintymentioning

confidence: 99%

Managing Uncertainty During Collaborative Problem Solving in Elementary School Teams: The Role of Peer Influence in Robotics Engineering Activity

Jordan

McDaniel

2014

Journal of the Learning Sciences

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156

133

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This study investigated how interaction with peers influenced the ways students managed uncertainty during collaborative problem solving in a 5th-grade class. The analysis focused on peer responses to individuals' attempts to manage uncertainty they experienced while engaged in collaborative efforts to design, build, and program robots and achieve assignment objectives. Patterns of peer response were established through discourse analysis of work sessions for 5 teams engaged in 2 collaborative projects. Three socially supportive peer responses and 2 unsupportive peer responses were identified. Peer interaction was influential because students relied on supportive social response to enact most of their uncertainty management strategies. This study provides a useful theoretical contribution to understanding the roles of peer interaction in collaborative problem solving. Conceptualizing collaborative problem solving as a process of negotiating uncertainties can help instructional designers shape tasks and relational contexts to facilitate learning.

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Section: Managing Uncertaintymentioning

confidence: 99%

Managing Uncertainty During Collaborative Problem Solving in Elementary School Teams: The Role of Peer Influence in Robotics Engineering Activity

Jordan

McDaniel

2014

Journal of the Learning Sciences

Self Cite

156

133

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“…For example, Oliveira et al () showed that teachers who used more hedging words (e.g., guess, maybe) increased the opportunity for students to articulate their uncertainty and evaluate each other's claims and evidence while teachers who used more booster words (e.g., obviously, absolutely) limited the discussion of students’ uncertainty. Other studies have demonstrated how uncertainty is verbally encoded in classroom discussion and how students used and developed their epistemic understanding to manage uncertainty (Esmonde, ; Jordan et al, ; Oliveira, ). These findings underscore how teachers can influence students’ coconstruction of knowledge by creating uncertainty and encouraging social negotiation.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Managing uncertainty in scientific argumentation

2019

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Argumentation is a core practice of science that inherently contains uncertainty. Relatively few studies have examined the role of uncertainty within argumentation and how teachers manage uncertainty leading to conceptual development. This design-based, multiple-case study employed the constant K E Y W O R D S argumentation, dialogue, epistemic understanding, managing uncertainty, social negotiation

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“…To identify the review comments expressing confusion we proceed in three steps. Since most of the code reviews do not express confusion, we employ a theoretical framework of confusion in computer-mediated discourse [16] to filter out the review comments that are likely not to express confusion. Next, we manually classify comments based on the opinions of four researchers.…”

Section: Introductionmentioning

confidence: 99%

Confusion Detection in Code Reviews

Ebert

Castor

Novielli

et al. 2017

2017 IEEE International Conference on Software Maintenance and Evolution (ICSME)

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Code reviews are an important mechanism for assuring quality of source code changes. Reviewers can either add general comments pertaining to the entire change or pinpoint concerns or shortcomings about a specific part of the change using inline comments. Recent studies show that reviewers often do not understand the change being reviewed and its context. Our ultimate goal is to identify the factors that confuse code reviewers and understand how confusion impacts the efficiency and effectiveness of code review(er)s. As the first step towards this goal we focus on the identification of confusion in developers' comments. Based on an existing theoretical framework categorizing expressions of confusion, we manually classify 800 comments from code reviews of the Android project. We observe that confusion can be reasonably well-identified by humans: raters achieve moderate agreement (Fleiss' kappa 0.59 for the general comments and 0.49 for the inline ones). Then, for each kind of comment we build a series of automatic classifiers that, depending on the goals of the further analysis, can be trained to achieve high precision (0.875 for the general comments and 0.615 for the inline ones), high recall (0.944 for the general comments and 0.988 for the inline ones), or substantial precision and recall (0.696 and 0.542 for the general comments and 0.434 and 0.583 for the inline ones, respectively). These results motivate further research on the impact of confusion on the code review process. Moreover, other researchers can employ the proposed classifiers to analyze confusion in other contexts where software development-related discussions occur, such as mailing lists. Index Terms-code review; confusion; machine learning.

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Expressing Uncertainty in Computer-Mediated Discourse: Language as a Marker of Intellectual Work

Cited by 29 publications

References 47 publications

Managing Uncertainty During Collaborative Problem Solving in Elementary School Teams: The Role of Peer Influence in Robotics Engineering Activity

Managing Uncertainty During Collaborative Problem Solving in Elementary School Teams: The Role of Peer Influence in Robotics Engineering Activity

Managing uncertainty in scientific argumentation

Confusion Detection in Code Reviews

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