Toward a script theory of guidance in computer-supported collaborative learning

This article presents an outline of a script theory of guidance for computer-supported collaborative learning (CSCL). With its four types of components of internal and external scripts (play, scene, role, and scriptlet) and seven principles, this theory addresses the question how CSCL practices are shaped by dynamically re-configured internal collaboration scripts of the participating learners. Furthermore, it explains how internal collaboration scripts develop through participation in CSCL practices. It emphasizes the importance of active application of subject matter knowledge in CSCL practices, and it prioritizes transactive over non-transactive forms of knowledge application in order to facilitate learning. Further, the theory explains how external collaboration scripts modify CSCL practices and how they influence the development of internal collaboration scripts. The principles specify an optimal scaffolding level for external collaboration scripts and allow for the formulation of hypotheses about the fading of external collaboration scripts. Finally, the article points towards conceptual challenges and future research questions

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

A framework to analyze argumentative knowledge construction in computer-supported collaborative learning

Computer-supported collaborative learning (CSCL) is often based on written argumentative discourse of learners, who discuss their perspectives on a problem with the goal to acquire knowledge. Lately, CSCL research focuses on the facilitation of specific processes of argumentative knowledge construction, e.g., with computer-supported collaboration scripts. In order to refine process-oriented instructional support, such as scripts, we need to measure the influence of scripts on specific processes of argumentative knowledge construction. In this article, we propose a multi-dimensional approach to analyze argumentative knowledge construction in CSCL from sampling and segmentation of the discourse corpora to the analysis of four process dimensions (participation, epistemic, argumentative, social mode)

Knowledge convergence in collaborative learning

In collaborative learning the question has been raised as to how learners in small groups influence one another and converge or diverge with respect to knowledge. Knowledge convergence can be conceptualised as knowledge equivalence and as shared knowledge prior to, during, and subsequent to collaborative learning. Knowledge equivalence refers to learners becoming more similar to their learning partners with regard to the extent of their individual knowledge. Shared knowledge means that learners have knowledge on the very same concepts as their learning partners. In this article, we provide measures for assessing both, knowledge equivalence and shared knowledge

Socio-cognitive scaffolding with collaboration scripts: a meta-analysis

Scripts for computer-supported collaborative learning (CSCL) offer socio-cognitive scaffolding for learners to engage in collaborative activities that are considered beneficial for learning. Yet, CSCL scripts are often criticized for hampering naturally emerging collaboration. Research on the effectiveness of CSCL scripts has shown divergent results. This article reports a meta-analysis about the effects of CSCL scripts on domain-specific knowledge and collaboration skills. Results indicate that CSCL scripts as a kind of socio-cognitive scaffolding can enhance learning outcomes substantially. Learning with CSCL scripts leads to a small positive effect on domain-specific knowledge (d = 0.20) and a large positive effect on collaboration skills (d = 0.95) compared to unstructured CSCL. Further analyses reveal that CSCL scripts are particularly effective for domain-specific learning when they prompt transactive activities (i.e., activities in which a learner’s reasoning builds on the contribution of a learning partner) and when they are combined with additional content-specific scaffolding (worked examples, concept maps, etc.). Future research on CSCL scripts should include measures of learners’ internal scripts (i.e., prior collaboration skills) and the transactivity of the actual learning process

Investigating 6th Graders' Use of a Tablet-Based App Supporting Synchronous Use of Multiple Tools Designed to Promote Collaborative Knowledge Building in Science.

At this pivotal moment in time, when the proliferation of mobile technologies in our daily lives is influencing the relatively fast integration of these technologies into classrooms, there is little known about the process of student learning, and the role of collaboration, with app-based learning environments on mobile devices. To address this gap, this dissertation, comprised of three manuscripts, investigated three pairs of sixth grade students’ synchronous collaborative use of a tablet-based science app called WeInvestigate. The first paper illustrated the methodological decisions necessary to conduct the study of student synchronous and face-to-face collaboration and knowledge building within the complex WeInvestigate and classroom learning environments. The second paper provided the theory of collaboration that guided the design of supports in WeInvestigate, and described its subsequent development. The third paper detailed the interactions between pairs of students as they engaged collaboratively in model construction and explanation tasks using WeInvestigate, hypothesizing connections between these interactions and the designed supports for collaboration. Together, these manuscripts provide encouraging evidence regarding the potential of teaching and learning with WeInvestigate. Findings demonstrated that the students in this study learned science through WeInvestigate, and were supported by the app - particularly the collabrification - to engage in collaborative modeling of phenomena. The findings also highlight the potential of the multiple methods used in this study to understand students’ face-to-face and technology-based interactions within the “messy” context of an app-based learning environment and a traditional K-12 classroom. However, as the third manuscript most clearly illustrates, there are still a number of modifications to be made to the WeInvestigate technology before it can be optimally used in classrooms to support students’ collaborative science endeavors. The findings presented in this dissertation contribute in theoretical, methodological, and applied ways to the fields of science education, educational technology, and the learning sciences, and point to exciting possibilities for future research on students’ collaborations using future iterations of WeInvestigate with more embedded supports; comparative studies of students’ use of synchronous collaboration; and studies focused on elucidating the role of the teacher using WeInvestigate - and similar mobile platforms - for teaching and learning.PhDEducational StudiesUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/116748/1/casher_1.pd

Analysis of U.S., Kenyan, and Finnish Discourse Patterns in a Cross-Cultural Digital Makerspace Learning Community Through the IBE-UNESCO Global Competences Framework

In 2017, the International Bureau of Education (IBE) at the United Nations Educational, Scientific and Cultural Organization (UNESCO) put forth seven global competences to address accelerating technological progress and increasing levels of complexity and uncertainty affecting many facets of society (Marope, 2017). These competences were used in examining participant discourse in a global, collaborative digital makerspace environment, where students ages 12 to 17 from six countries develop and share STEM-focused media artifacts. The participants communicate synchronously through video conference calls, referred to as online global meet-ups. The meet-ups allow students to present media artifacts they have created, share ideas, exchange information, and provide feedback. In this analysis, epistemic network analysis (ENA), a technique in quantitative ethnography, is used to examine the connections made among the IBE-UNESCO global competences in a meet-up involving participants from Finland, Kenya, and the U.S. ENA network models were created initially for the three sites, then further disaggregated by time segment to analyze how participant discourse patterns may have evolved in each context. Through this approach, the paper explores more broadly the interactive role of media making, cross-cultural engagement, and collaborative learning in the development of global competences in students

Fostering argumentation-based computer-supported collaborative learning in higher education

cum laude graduation (with distinction). In collaborative settings, students of all ages need to learn to clearly explain their informed opinions and give reasons for the way in which they carry out tasks and solve problems. Engaging students in collaborative discussion and argumentation is an educational approach for preparing them to manage today’s complex issues and actively participate in knowledge societies. Despite the fact that argumentation is shaped in social conversation and also in learners’ online exchanges in daily life, learners in academic settings need to be taught to reason and argue in a way that is beneficial for knowledge sharing, domain-specific learning, and knowledge construction. Online support systems for collaboration or Computer-Supported Collaborative Learning (CSCL) environments in which learners argue in teams have been found to support the sharing, constructing, and representing of arguments with the aim of learning. This type of learning arrangement is called Argumentation-Based Computer-Supported Collaborative Learning (ABCSCL) and it is seen as a promising environment in which to facilitate collaborative argumentation and learning

Developing argumentation skills in mathematics through computer-supported collaborative learning: the role of transactivity

Collaboration scripts and heuristic worked examples are effective means to scaffold university freshmen’s mathematical argumentation skills. Yet, which collaborative learning processes are responsible for these effects has remained unclear. Learners presumably will gain the most out of collaboration if the collaborators refer to each other’s contributions in a dialectic way (dialectic transactivity). Learners also may refer to each other’s contributions in a dialogic way (dialogic transactivity). Alternatively, learners may not refer to each other’s contributions at all, but still construct knowledge (constructive activities). This article investigates the extent to which constructive activities, dialogic transactivity, and dialectic transactivity generated by either the learner or the learning partner can explain the positive effects of collaboration scripts and heuristic worked examples on the learners’ disposition to use argumentation skills. We conducted a 2 × 2 experiment with the factors collaboration script and heuristic worked examples with N = 101 math teacher students. Results showed that the learners’ engagement in self-generated dialectic transactivity (i.e., responding to the learning partner’s contribution in an argumentative way by critiquing and/or integrating their learning partner’s contributions) mediated the effects of both scaffolds on their disposition to use argumentation skills, whereas partner-generated dialectic transactivity or any other measured collaborative learning activity did not. To support the disposition to use argumentation skills in mathematics, learning environments should thus be designed in a way to help learners display dialectic transactivity. Future research should investigate how learners might better benefit from the dialectic transactivity generated by their learning partners