Building a novel interactive platform and recommendation system for creative learning

这项研究适用于加拿大的开发人员、家长和教育工作者。加拿大学区越来越多地面临挑战，以一种利用技术激发协作和创造力的方式来学习。加拿大的父母也深感需要开发数字程序，以促进可分享的经验，加强而不是取代真实的生活中的人类互动。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，也是地球上每一种文化所共有的传统。几代人以来，叙事形式一直被用来传递沿着信息，经验，梦想和文化传统。然而，讲故事的实用和变革力量在现代教育中基本上没有得到开发。本项目旨在开发一个基于叙事的交互式在线平台，该平台具有分布式高维多媒体数据和推荐策略，可用于家庭使用，这将显著增加父母的参与和学生在学校的成功。预计该研究将为大数据理论和真实的生活应用带来重大贡献。创新之处在于两个方面。首先，本计画将提出最佳的分类与推荐策略，以建议使用者未来最佳的线上学习计画与可能的改善领域。其次，针对Storyvalues的具体情况，我们将提供一个新颖的、具有激励性的网络交互系统，并提供在线学习评价和推荐策略。这项研究将探讨可共享的、基于叙事的技术在满足这些需求方面的有效性，并帮助为新项目的开发提供信息。

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.