83,641 research outputs found

    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

    From guided to self-regulated performance of domain-general skills

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    The fading of instructional scripts can be regarded as necessary for allowing learners to take over control of their cognitive activities during the acquisition of skills such as argumentation. There is, however, the danger that learners might relapse into novice strategies after script prompts are faded. One possible solution could be monitoring by a peer with respect to the performance of the strategy to be learned. We conducted a 2×2-factorial experiment with 126 participants with fading and peer monitoring as between-subjects factors to test the assumptions that (1) the combination of a faded script and peer monitoring has a positive effect on strategy knowledge compared to only one or none of the two types of support; and (2) this effect is due to a greater amount of self-regulated performance of the strategy after the fading of the script when peer monitoring takes place. The findings support these assumptions

    School use of learning platforms and associated technologies

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    Study of benefits and effective use of learning platforms in schools based on 12 case studie

    The usage of computer integrated classroom (cic) technology tools in the study of interactions of knowledge construction among esl pre-service teacher

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    This paper takes a glimpse at the possible tools for collecting data on interactions of knowledge construction among ESL pre-service teacher. The main tool identified to compile the data collection of the study is a customized of computer integrated classroom (CiC) system. For that purpose, a pilot study on computer support face to face peer response using CiC was trialed with a group of students enrolled in a Microteaching course at the Faculty of Education, University Technology Malaysia. CiC was explored to see whether the system could facilitate both modes of synchronous interactions: text-based reporting and verbal interaction. With the assistance of software and hardware integrated in CIC, many computer supported collaborative learning activities could be carried out by ESL pre-service teachers such as recording, storing, retrieving, and monitoring of user profiles’ activities, learning materials and interactions

    Collaborative trails in e-learning environments

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    This deliverable focuses on collaboration within groups of learners, and hence collaborative trails. We begin by reviewing the theoretical background to collaborative learning and looking at the kinds of support that computers can give to groups of learners working collaboratively, and then look more deeply at some of the issues in designing environments to support collaborative learning trails and at tools and techniques, including collaborative filtering, that can be used for analysing collaborative trails. We then review the state-of-the-art in supporting collaborative learning in three different areas – experimental academic systems, systems using mobile technology (which are also generally academic), and commercially available systems. The final part of the deliverable presents three scenarios that show where technology that supports groups working collaboratively and producing collaborative trails may be heading in the near future
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