A Partnership-Based Approach to Operationalizing Learning Behaviours Using Event Data

Andrew E. Krumm, H. Everson, J. Neisler
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引用次数: 3

Abstract

This paper describes a partnership-based approach for analyzing data from a learning management system (LMS) used by students in grades 6–12. The goal of the partnership was to create indicators for the ways in which students navigated digital learning activities, referred to as playlists, that were comprised of resources, pre-assessments, and summative assessments. To develop various indicators, the collaboration gathered school practitioners’ perspectives on desirable and undesirable student actions within and across playlists, jointly explored and made sense of LMS data, and examined the relationships between behavioural indicators and outcomes that were important to practitioners. The approach described in this paper is intended to provide an example for future researcher–practitioner collaborations to build upon when seeking to jointly analyze data from digital learning environments. The widespread use of playlists and LMSs in K–12 schools throughout the United States means that the collaborative process described in this paper may have broad applicability to large numbers of digital environments, schools, and collaborations.
基于伙伴关系的使用事件数据操作学习行为的方法
本文描述了一种基于伙伴关系的方法,用于分析6-12年级学生使用的学习管理系统(LMS)的数据。该合作伙伴关系的目标是为学生导航数字学习活动(称为播放列表)的方式创建指标,播放列表由资源、预评估和总结性评估组成。为了开发各种指标,合作收集了学校从业者对播放列表内和跨播放列表的可取和不可取学生行为的观点,共同探索和理解LMS数据,并检查了对从业者很重要的行为指标和结果之间的关系。本文中描述的方法旨在为未来的研究人员-从业者合作提供一个示例,以便在寻求共同分析来自数字学习环境的数据时建立。播放列表和lms在美国K-12学校的广泛使用意味着本文中描述的协作过程可能广泛适用于大量的数字环境、学校和合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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