学习分析:数字工具对高年级和研究生课程的影响

Connie Johnson, Debra Burrington, Karen O'Donnell, Joelle Wren
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摘要

科罗拉多技术大学(CTU)在在线课程中利用自适应学习技术和学习分析技术,每季度吸引数千名学生参与学习。约有 600 名科罗拉多技术大学教师在课堂上使用了自适应学习技术。将学习分析应用于从数据仪表板中收集的信息,可以了解和洞察学生在课程学习中的进步程度。本研究侧重于学习分析,捕捉学生的成功因素,包括学生的参与度、作业提交的及时性、作业成绩以及学生在四门高年级和研究生商科课程中的学习进度(坚持到下一学期)。分析的其他信息包括 CTU Messenger 数据、从即时信息中提取见解的课程结束调查,以及整个课程中学生和教师的反馈记录。此外,还详细介绍了根据调查结果提出的可提高学生成绩的建议策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Learning Analytics: The Impact of Digital Tools in Upper-Level and Graduate Courses
Colorado Technical University (CTU) harnesses adaptive learning, accompanied by learning analytics in online courses that engage thousands of students quarterly. Approximately 600 CTU faculty have participated in the use of adaptive learning technology in the classroom. Learning analytics applied to information gleaned from data dashboards provides visibility and insight concerning our students’ level of progress when enrolled in a course. This study focused on learning analytics capturing student success factors, including student engagement, timeliness of assignment submission, assignment grades, and student progression (persistence to next term) in four upper-level and graduate business courses. Additional information analyzed consisted of CTU Messenger data, end-of-course surveys with insights extracted from instant messages, and recorded student and instructor feedback throughout a course. Recommended strategies informed by findings that can lead to improved student outcomes are also detailed.
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