Learning Analytics for Massive Open Online Courses

大规模在线开放课程的学习分析

• 批准号: RGPIN-2017-06451
• 负责人: Wong, Kenny
• 金额: $ 1.46万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=677197
• 关键词: Learning; Analytics; Massive; Open; Online

Massive Open Online Courses (MOOCs) have arisen as an increasingly popular way to deliver quality educational content to individual learners. On the delivery platform, much data can be gathered and analyzed about the learners, including demographics, discussion postings, assessment submissions, course progress events, and course marks. ******With growing amounts of data for many thousands of learners, the proposed research program aims to provide timely advice that identifies learning difficulties, and to offer suggestions that personalize the learning experience.******Popular today with learners interested in professional development are MOOC specializations, each a cohesive sequence of self-paced courses followed by a scheduled capstone project course. Most of these learners have a degree, work in industry, have families, and must use their time effectively.******From our experience in designing, constructing, producing, and delivering a MOOC specialization on software product management, we have a special opportunity to better understand and assist our learners, with aims to reduce any frustrations and increase engagement.******While learning through a MOOC is often individualistic, we see a budding community of practice through the discussion forums. The proposed research explores incentives to encourage better contributions and sharing, to provide a richer learning experience that improves course quality.******This research program seeks to develop effective concepts, methods, and tools to understand learners and their activities, to help improve learning, foster communities of practice, boost completion rates, and promote engagement.*****

大规模开放在线课程(MOOC)作为一种越来越受欢迎的方式，向个人学习者提供高质量的教育内容。在交付平台上，可以收集和分析有关学员的大量数据，包括人口统计数据、讨论帖子、评估提交、课程进度事件和课程分数。*随着数以千计的学习者的数据不断增加，拟议的研究计划旨在提供及时的建议，以识别学习困难，并提供个性化学习体验的建议。*目前，对专业发展感兴趣的学习者很受欢迎的是MOOC专业，每个专业都有一系列连贯的自定进度课程，然后是预定的顶峰项目课程。这些学员中的大多数都有学位，在行业工作，有家庭，必须有效地利用他们的时间。*从我们在设计、构建、生产和交付软件产品管理专业MOOC方面的经验，我们有一个特殊的机会来更好地理解和帮助我们的学员，目的是减少任何挫折并增加参与度。*虽然通过MOOC学习通常是个人主义的，但我们通过论坛看到了一个萌芽中的实践社区。建议的研究探索激励机制，以鼓励更好的贡献和共享，提供更丰富的学习体验以提高课程质量。*本研究计划旨在开发有效的概念、方法和工具，以了解学习者及其活动，帮助改进学习，培养实践社区，提高完成率，并促进参与度。*