227 research outputs found

    Analytic frameworks for assessing dialogic argumentation in online learning environments

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    Over the last decade, researchers have developed sophisticated online learning environments to support students engaging in argumentation. This review first considers the range of functionalities incorporated within these online environments. The review then presents five categories of analytic frameworks focusing on (1) formal argumentation structure, (2) normative quality, (3) nature and function of contributions within the dialog, (4) epistemic nature of reasoning, and (5) patterns and trajectories of participant interaction. Example analytic frameworks from each category are presented in detail rich enough to illustrate their nature and structure. This rich detail is intended to facilitate researchers’ identification of possible frameworks to draw upon in developing or adopting analytic methods for their own work. Each framework is applied to a shared segment of student dialog to facilitate this illustration and comparison process. Synthetic discussions of each category consider the frameworks in light of the underlying theoretical perspectives on argumentation, pedagogical goals, and online environmental structures. Ultimately the review underscores the diversity of perspectives represented in this research, the importance of clearly specifying theoretical and environmental commitments throughout the process of developing or adopting an analytic framework, and the role of analytic frameworks in the future development of online learning environments for argumentation

    Collaboration scripts - a conceptual analysis

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    This article presents a conceptual analysis of collaboration scripts used in face-to-face and computer-mediated collaborative learning. Collaboration scripts are scaffolds that aim to improve collaboration through structuring the interactive processes between two or more learning partners. Collaboration scripts consist of at least five components: (a) learning objectives, (b) type of activities, (c) sequencing, (d) role distribution, and (e) type of representation. These components serve as a basis for comparing prototypical collaboration script approaches for face-to-face vs. computer-mediated learning. As our analysis reveals, collaboration scripts for face-to-face learning often focus on supporting collaborators in engaging in activities that are specifically related to individual knowledge acquisition. Scripts for computer-mediated collaboration are typically concerned with facilitating communicative-coordinative processes that occur among group members. The two lines of research can be consolidated to facilitate the design of collaboration scripts, which both support participation and coordination, as well as induce learning activities closely related to individual knowledge acquisition and metacognition. In addition, research on collaboration scripts needs to consider the learners’ internal collaboration scripts as a further determinant of collaboration behavior. The article closes with the presentation of a conceptual framework incorporating both external and internal collaboration scripts

    Epistemic and Social Scripts in Computer-Supported Collaborative Learning

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    Collaborative learning in computer-supported learning environments typically means that learners work on tasks together, discussing their individual perspectives via text-based media or videoconferencing, and consequently acquire knowledge. Collaborative learning, however, is often sub-optimal with respect to how learners work on the concepts that are supposed to be learned and how learners interact with each other. Therefore, instructional support needs to be implemented into computer-supported collaborative learning environments. One possibility to improve collaborative learning environments is to conceptualize scripts that structure epistemic activities and social interactions of learners. In this contribution, two studies will be reported that investigated the effects of epistemic and social scripts in a text-based computer-supported learning environment and in a videoconferencing learning environment in order to foster the individual acquisition of knowledge. In each study the factors "epistemic script" and "social script" have been independently varied in a 2×2-factorial design. 182 university students of Educational Science participated in these two studies. Results of both studies show that social scripts can be substantially beneficial with respect to the individual acquisition of knowledge, whereas epistemic scripts apparently do not lead to the expected effects.Unter kooperativem Lernen in computerunterstützten Lernumgebungen versteht man typischerweise, dass Lernende Wissen erwerben indem sie gemeinsam Aufgaben bearbeiten und dabei ihre individuellen Perspektiven mittels textbasierter Medien oder in Videokonferenzen diskutieren. Kooperatives Lernen scheint aber häufig suboptimal zu sein in Bezug auf die inhaltliche Bearbeitung der zu lernenden Konzepte sowie hinsichtlich der sozialen Interaktionen der Lernenden. Eine Möglichkeit kooperative Lernumgebungen zu verbessern besteht darin, Skripts zu konzeptualisieren, die epistemische Aktivitäten und soziale Interaktionen von Lernenden unterstützen. In diesem Beitrag werden zwei Studien berichtet, die die Wirkungen epistemischer und sozialer Skripts auf den individuellen Wissenserwerb in einer text- bzw. einer videobasierten computerunterstützten Lernumgebung untersuchen. In beiden Studien wurden die Faktoren "epistemisches Skript" und "soziales Skript" unabhängig voneinander in einem 2×2-faktoriellen Design miteinander variiert. 182 Studierende der Pädagogik der LMU München nahmen an diesen beiden Studien teil. Die Ergebnisse beider Studien deuten darauf hin, dass soziale Skripts individuellen Wissenserwerb substanziell fördern können, während epistemische Skripts scheinbar nicht zu den erwarteten Ergebnissen führen

    Epistemic and social scripts in computer-supported collaborative learning

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    Collaborative learning in computer-supported learning environments typically means that learners work on tasks together, discussing their individual perspectives via text-based media or videoconferencing, and consequently acquire knowledge. Collaborative learning, however, is often sub-optimal with respect to how learners work on the concepts that are supposed to be learned and how learners interact with each other. One possibility to improve collaborative learning environments is to conceptualize epistemic scripts, which specify how learners work on a given task, and social scripts, which structure how learners interact with each other. In this contribution, two studies will be reported that investigated the effects of epistemic and social scripts in a text-based computer-supported learning environment and in a videoconferencing learning environment in order to foster the individual acquisition of knowledge. In each study the factors ‘epistemic script’ and ‘social script’ have been independently varied in a 2×2-factorial design. 182 university students of Educational Science participated in these two studies. Results of both studies show that social scripts can be substantially beneficial with respect to the individual acquisition of knowledge, whereas epistemic scripts apparently do not to lead to the expected effects

    Online discussion compensates for suboptimal timing of supportive information presentation in a digitally supported learning environment

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    This study used a sequential set-up to investigate the consecutive effects of timing of supportive information presentation (information before vs. information during the learning task clusters) in interactive digital learning materials (IDLMs) and type of collaboration (personal discussion vs. online discussion) in computer-supported collaborative learning (CSCL) on student knowledge construction. Students (N = 87) were first randomly assigned to the two information presentation conditions to work individually on a case-based assignment in IDLM. Students who received information during learning task clusters tended to show better results on knowledge construction than those who received information only before each cluster. The students within the two separate information presentation conditions were then randomly assigned to pairs to discuss the outcomes of their assignments under either the personal discussion or online discussion condition in CSCL. When supportive information had been presented before each learning task cluster, online discussion led to better results than personal discussion. When supportive information had been presented during the learning task clusters, however, the online and personal discussion conditions had no differential effect on knowledge construction. Online discussion in CSCL appeared to compensate for suboptimal timing of presentation of supportive information before the learning task clusters in IDLM

    ELABORATIVE AND CRITICAL DIALOG: TWO POTENTIALLY EFFECTIVE PROBLEM-SOLVING AND LEARNING INTERACTIONS

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    Recent research on learning individual monologs and collaborative problem solving suggests that students learn best when they are required to be active participants in interactive dialogs. However, some interactive dialogs are more conducive to learning than others. Two dialog patterns that seem to be effective in producing successful problem solving and deep learning are elaborative and critical interactions. The goal of the present study is to evaluate the relative impact of each dialog on learning and problem solving by experimentally manipulating the types of conversations in which dyads engage.Undergraduate participants were randomly assigned to one of four conditions: a singleton control, a dyadic control, an elaborative dyad, or a critical dyad. The domain chosen for the experiment was a bridge optimization task in which individuals or dyads modified a simulated bridge, with the goal of making it as inexpensive as possible.Both problem solving and learning from the simulation were assessed. Performance on the task included a combination of two factors: the quality of the design and the price. Overall learning was measured by the gain from pre- to posttest on isomorphic evaluations, and was further decomposed into text-explicit and inferential knowledge. The results suggest elaboration is easier to train and led to stronger problem solving and learning than the control condition, whereas the critical interactions were more difficult to instruct and led to problem solving and learning equal to the control condition

    Maximizing the Benefits of Collaborative Learning in the College Classroom

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    abstract: This study tested the effects of two kinds of cognitive, domain-based preparation tasks on learning outcomes after engaging in a collaborative activity with a partner. The collaborative learning method of interest was termed "preparing-to-interact," and is supported in theory by the Preparation for Future Learning (PFL) paradigm and the Interactive-Constructive-Active-Passive (ICAP) framework. The current work combined these two cognitive-based approaches to design collaborative learning activities that can serve as alternatives to existing methods, which carry limitations and challenges. The "preparing-to-interact" method avoids the need for training students in specific collaboration skills or guiding/scripting their dialogic behaviors, while providing the opportunity for students to acquire the necessary prior knowledge for maximizing their discussions towards learning. The study used a 2x2 experimental design, investigating the factors of Preparation (No Prep and Prep) and Type of Activity (Active and Constructive) on deep and shallow learning. The sample was community college students in introductory psychology classes; the domain tested was "memory," in particular, concepts related to the process of remembering/forgetting information. Results showed that Preparation was a significant factor affecting deep learning, while shallow learning was not affected differently by the interventions. Essentially, equalizing time-on-task and content across all conditions, time spent individually preparing by working on the task alone and then discussing the content with a partner produced deeper learning than engaging in the task jointly for the duration of the learning period. Type of Task was not a significant factor in learning outcomes, however, exploratory analyses showed evidence of Constructive-type behaviors leading to deeper learning of the content. Additionally, a novel method of multilevel analysis (MLA) was used to examine the data to account for the dependency between partners within dyads. This work showed that "preparing-to-interact" is a way to maximize the benefits of collaborative learning. When students are first cognitively prepared, they seem to make the most efficient use of discussion towards learning, engage more deeply in the content during learning, leading to deeper knowledge of the content. Additionally, in using MLA to account for subject nonindependency, this work introduces new questions about the validity of statistical analyses for dyadic data.Dissertation/ThesisPh.D. Educational Psychology 201

    Parental psychological factors of mother-child and father-child reminiscing about negative and positive emotional past experiences

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    Little is known about the significance of parent factors, including attachment representations, depressive symptoms, and personality, in shaping parental elaborative reminiscing, as research has primarily examined child factors for parental reminiscing. Moreover, the majority of research comprises samples of mothers and children, and thus, little is known about the predictors of father-child reminiscing. The current study therefore examined the significance of parent predictors of mothers' (N = 60) and fathers' (N=47) elaboration about past emotional experiences. Mothers higher on deactivation were less elaborative during the hurt event, whereas mothers higher on hyperactivation exhibited more emotion elaboration and greater levels of elaboration when reminiscing the hurt event. Mothers higher on depressive symptoms were more elaborative during the scared event. Fathers higher on positive personality exhibited more emotion elaboration and greater levels of elaboration when reminiscing the scared event. These findings indicate that attachment history and current mood are linked with mothers' (but not fathers') elaboration, whereas more stable personality characteristics are linked with fathers' (but not mothers') elaboration. Findings advance knowledge of the significance of parent factors for their elaboration styles, by indicating that maternal elaboration might be more nuanced to child and contextual cues, whereas paternal elaboration, by contrast, might be more heavily influenced by stable trait characteristics, such as personality.Includes bibliographical references

    Supporting collaborative writing in secondary Language Arts: A revision decision method intervention

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    Much of the research on digital collaborative writing focuses on undergraduate and graduate writers, yet under-studied high school students also need 21st century literacies for academic and workplace success. To meet this need, educators require interventions supporting high school students’ collaborative writing skills development. A substantial body of research has established the efficacy of scripting during digital collaborative tasks. Yet less is known about the effect of digital collaborative writing scripts upon high school students. In this quasi-experimental study, one high school Language Arts class engaged in a revision decision method intervention script for collaborative writing. This treatment group was compared with students writing collaboratively with a business-as-usual control approach. Using a mixed methods design, this study investigated and found that the revision decision method increased the treatment group students’ revision depth, but that it did not affect their metacognitive regulation, and ownership feelings. Self-generated scripts used by high school students under the control condition represented a more cooperative approach to collaborative writing that was dominated by superficial revision targets. Implications include that scaffolding high school collaborative writers may benefit from providing metalanguage for reflection, as well as the possibility that high school collaborative writing might promote success at peer review processes that transfer to other writing modes. The study’s strengths and weaknesses in overall design may help to provide additional direction in future research on strategies to support high school collaborative writers’ success

    Effects of computer-supported collaboration script and incomplete concept maps on web design skills in an online design-based learning environment

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    Web design skills are an important component of media literacy. The aim of our study was to promote university students’ web design skills through online design-based learning (DBL). Combined in a 2x2-factorial design, two types of scaffolding were implemented in an online DBL environment to support the students through their effort to design, build, modify, and publish web sites on processes and outcomes measures, namely collaboration scripts and incomplete concept maps. The results showed that both treatments had positive effects on collaborative (content-related discourse quality, collaboration skills, and quality of published web sites) and individual (domain-specific knowledge and skills related to the design and building of websites) learning outcomes. There was synergism between the two scaffolds in that the combination of the collaboration script and incomplete concept maps produced the most positive results. To be effective, online DBL thus needs to be enhanced by appropriate scaffolds, and both collaboration scripts and incomplete concept maps are effective examples
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