Building a novel interactive platform and recommendation system for creative learning

这项拟议的研究适用于加拿大开发商、家长和教育工作者。加拿大学区面临着越来越多的挑战，要求以一种利用技术激发合作和创造力的方式进行学习。加拿大父母还深感需要开发数字节目，以促进可分享的体验，增强而不是取代现实生活中的人类互动。这是与StoryValues的新研究合作。讲故事是世界上最古老的交流形式，也是地球上每种文化共有的传统。几代人以来，这种叙事形式一直被用来传递信息、经历、梦想和文化传统。然而，在现代教育中，讲故事的实用和变革性力量在很大程度上是未被发掘的。该项目旨在开发一个基于叙事的交互式在线平台，其中包含分布式高维多媒体数据和家庭使用的推荐策略，这将显著增加家长的参与和学生在学校的成功。预计拟议中的研究将为大数据理论和现实应用带来重大贡献。创新之处在于两个视角。首先，本项目将提出最优的分类和推荐策略，为用户建议最好的未来在线学习计划和可能的改进领域。其次，针对StoryValues的具体情况，我们将提供一个新颖的、具有激励性的在线学习评估和推荐策略的网络互动系统。这项研究将探索可共享的、基于叙事的技术在满足这些需求方面的有效性，并帮助为新项目的发展提供信息。

The proposed research is applicable to Canadian developers, parents and educators. Canadian school districts are increasingly challenged to approach learning in a way that inspires collaboration and creativity using technology. Canadian parents also feel a deep need for the development of digital programs that facilitate shareable experiences that enhance, rather than replace, real life human interaction. This is new research collaboration with Storyvalues. Storytelling is the world's oldest form of communication as well as a tradition shared by every culture on earth. For generations, the narrative form has been used to pass along information, experiences, dreams and cultural traditions. Nevertheless, the practical and transformative power of storytelling is largely unexplored within modern education. This project is proposed to develop a narrative based interactive online platform with distributed high dimensional multimedia data and recommendation strategy for home use that will measurably increase parental involvement and student success at school. It is expected that the proposed research will bring significant contributions to both big data theory and real life applications. The innovation lies in two perspectives. Firstly, this project will propose the optimal classification and recommendation strategies to suggest the best future online learning plan and possible improvement areas for users. Secondly, aimed at Storyvalues's specific situation, we will provide a novel and incentive web interactive system with on-line learning evaluation and recommendation strategy. This research will explore the effectiveness of shareable, narrative-based technology in addressing these needs and help inform the development of new programs.