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Adaptive ecology m-learning for national park based on Scaffolding Theory

机译:基于脚手架理论的国家公园自适应生态移动学习

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An adaptive ecology m-learning framework applied for national parks is proposed in this paper. The traditional ecology guiding service uses static web page or fixed placard to prompt and provide ecology information to learners. It can not provide adaptive learning anytime and anywhere. Learners can not obtain real-time ecology guiding information and have a good adaptive learning based on learners' knowledge background, and time and location. This study proposes a framework based on Scaffolding Theory that provide learners mobile, dynamic and adaptive ecology guiding service to national parks. Scaffolding Theory is to support learners a knowledge structure for systematic learning. Based on Scaffolding Theory, learners are identified by background (e.g. age and gender), knowledge (e.g. cognitive base, knowledge requirement and learning objective), and interests. Moreover, adaptive and appropriate ecology knowledge based on learners' properties is provided dynamically. Furthermore, learning steps and contents are able to be adjusted flexibly by learners' feedback. In addition, this study also adopt context awareness to provide the learner a suitable route planning for ecology guiding service according to environment factors such as weather condition, time and season, prediction of tide, UV rays and rain rate where learners located. Landscapes and ecology events such as Migratory birds in transit within the route can be actively delivered to learners immediately using interactive applications such as multimedia messages (e.g. text, image and video). Attention and enjoyment of learners can be increased and ecology education purpose of national parks can be achieved.
机译:提出了一种适用于国家公园的自适应生态m学习框架。传统的生态指导服务使用静态网页或固定标语牌来提示并向学习者提供生态信息。它无法随时随地提供自适应学习。学习者无法获取实时的生态指导信息,并且无法根据学习者的知识背景,时间和位置进行良好的适应性学习。这项研究提出了一个基于脚手架理论的框架,该框架为学习者提供了对国家公园的移动,动态和适应性生态指导服务。脚手架理论旨在为学习者提供系统学习的知识结构。根据脚手架理论,根据背景(例如年龄和性别),知识(例如认知基础,知识要求和学习目标)和兴趣来识别学习者。此外,动态地提供基于学习者属性的适应性和适当的生态知识。此外,学习步骤和内容可以根据学习者的反馈灵活调整。此外,本研究还采用情境意识,根据学习者所在的天气条件,时间和季节,潮汐预测,紫外线和降雨率等环境因素,为学习者提供适合的生态指导服务路线规划。可以使用诸如多媒体消息(例如,文本,图像和视频)之类的交互式应用程序,将风景和生态事件(例如在路线中途中的候鸟)立即主动地传递给学习者。可以提高学习者的注意力和乐趣,可以达到国家公园的生态教育目的。

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