{"title":"支持大规模远程教育中的协作写作任务","authors":"Marc Burchart;Joerg M. Haake","doi":"10.1109/TLT.2024.3355791","DOIUrl":null,"url":null,"abstract":"In distance education courses with a large number of students and groups, the organization and facilitation of collaborative writing tasks are challenging. Teachers need support for planning, specification, execution, monitoring, and evaluation of collaborative writing tasks in their course. This requires a collaborative learning platform for coordinating all of the different phases in the writing process. In order to enable the design of such a platform, we created a process model of collaborative writing tasks that is based on the identification of participants, activities, phases, and orchestration from the literature. This model may serve as a basis for teachers to specify the instances for such tasks and can be used to determine the functional requirements needed for supporting model-compliant tasks on a collaborative learning platform. We present a general architecture for a platform of this kind that is independent of a concrete learning management systerm (LMS) system or shared editor and demonstrate its implementation using Moodle, Etherpad Lite, and Docker. The platform makes it easier for teachers to create groups and automatically assign members to collaborative workspaces. It enables asynchronous as well as synchronous text editing and communication. It also respects the European information security and data protection requirements and helps teachers monitor both the writing and reviewing activities. The platform was evaluated over a period of three semesters in distance learning courses with more than 4500 students. 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引用次数: 0
摘要
在有大量学生和小组的远程教育课程中,组织和促进协作写作任务具有挑战性。教师需要在课程中为协作写作任务的规划、规范、执行、监控和评估提供支持。这就需要一个协作学习平台来协调写作过程中的所有不同阶段。为了能够设计这样一个平台,我们根据文献中对参与者、活动、阶段和协调的识别,创建了一个协作写作任务的过程模型。该模型可作为教师指定此类任务实例的基础,并可用于确定在协作学习平台上支持符合模型的任务所需的功能要求。我们提出了一个独立于具体学习管理系统(LMS)或共享编辑器的此类平台的总体架构,并使用 Moodle、Etherpad Lite 和 Docker 演示了其实现。该平台使教师更容易创建群组,并自动将成员分配到协作工作空间。它既能实现异步文本编辑,也能实现同步文本编辑和交流。该平台还遵守欧洲信息安全和数据保护要求,帮助教师监控写作和审阅活动。该平台在有 4500 多名学生参加的远程学习课程中进行了为期三个学期的评估。事实证明,该平台是一个可扩展的、稳健的环境,可以协调教师和学生的协作写作过程,并使教师和研究人员能够对协作写作行为进行分析。
Supporting Collaborative Writing Tasks in Large-Scale Distance Education
In distance education courses with a large number of students and groups, the organization and facilitation of collaborative writing tasks are challenging. Teachers need support for planning, specification, execution, monitoring, and evaluation of collaborative writing tasks in their course. This requires a collaborative learning platform for coordinating all of the different phases in the writing process. In order to enable the design of such a platform, we created a process model of collaborative writing tasks that is based on the identification of participants, activities, phases, and orchestration from the literature. This model may serve as a basis for teachers to specify the instances for such tasks and can be used to determine the functional requirements needed for supporting model-compliant tasks on a collaborative learning platform. We present a general architecture for a platform of this kind that is independent of a concrete learning management systerm (LMS) system or shared editor and demonstrate its implementation using Moodle, Etherpad Lite, and Docker. The platform makes it easier for teachers to create groups and automatically assign members to collaborative workspaces. It enables asynchronous as well as synchronous text editing and communication. It also respects the European information security and data protection requirements and helps teachers monitor both the writing and reviewing activities. The platform was evaluated over a period of three semesters in distance learning courses with more than 4500 students. It proved a scalable and robust environment for coordinating the collaborative writing process of teachers and students and enables analysis of collaborative writing behavior by teachers and researchers.
期刊介绍:
The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.