Seamless Connection between Learning and Assessment- Applying Progressive Learning Tasks in Mobile Ecology Inquiry
Seamless Connection between Learning and Assessment- Applying Progressive Learning Tasks in Mobile Ecology Inquiry
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学习与评估的无缝衔接——渐进式学习任务在移动生态探究中的应用
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
I
中科院分区：
文献类型：
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作者：
Pi;Gwo;Yu;Tsung;I
移动学习被建议用来激励学生进行实地考察；然而，由于来自现实世界和数字世界环境的学习资源的复杂性和丰富性，信息过载仍然是主要关切之一。大多数移动学习设计只提供多项选择的反馈，以指导学生的学习。这项研究的目的是开发一系列工作表作为脚手架，以支持移动学习环境中基于探究的生态观察。在三层工作表框架的基础上，开发了一个具有现场评分规则的移动学习系统，以引导学生依次专注于指导观察、独立观察和扩展询问。提供了精心设计的工作表、即时反馈和补充材料，以平衡学生在物种丰富的领域的学习压力和任务挑战。对建构的反应任务的自动评分数据进行分析，以了解学生的学习成长和学习特点。结果表明，该方法有效地提高了学生的野外观察成绩。此外，使用该方法学习的学生中，近70%的学生可以在移动学习环境中进行自己的查询，表明该方法是有前景的。
Mobile learning has been recommended for motivating students on field trips; nevertheless, owing to the complexity and the richness of the learning resources from both the real-world and the digital-world environments, information overload remains one of the major concerns. Most mobile learning designs provide feedback only for multiple choice items to guide students' learning. The aim of this study was to develop a series of worksheets as scaffolding to support inquiry-based ecology observations in a mobile learning environment. Based on a three-layer worksheet framework, a mobile learning system with in-field scoring rubrics was developed to guide the students to sequentially focus on guided observations, independent observations, and extended inquiries. Well-designed worksheets, instant feedback and supplementary materials were provided to balance the students' learning pressure and task challenge in the species-rich field. The automated scoring data for constructed response tasks were analyzed to investigate the learning growth and students' learning characteristics. The results showed that the proposed approach was effective in improving the field observation performance of the students. Furthermore, nearly 70% of the students who learned with the proposed approach could pursue their own inquiries in the mobile learning environment, showing that the approach is promising.