Detecting & supporting student creativity in online learning

创造力是一个动态的过程，它产生既新颖又有价值的想法。创造力可以促进学生的批判性思维，自我激励，并促进学生掌握技能和概念。尽管技术教育环境在学校越来越普遍，但目前并没有促进学生互动中的创造力，也没有支持教师发现学生创造性思维的能力。该提案将开发人工智能和学习分析的方法和算法，以创建支持学生创造性思维的技术环境，以及教师理解和支持这种行为的能力。建议的建议将有助于计算机科学和教育技术的基础研究。它将提供新的计算模型，用于描述基于技术的学习环境中的创造力，以及从学生与这些环境的交互中检测创造性成果的算法。它将为教师设计可视化和演示文稿，以帮助他们理解学生的互动，并允许他们在必要时干预这一过程。最后，它将提供用于生成机器生成的支持的算法，这些支持将适应学生的需求，以促进创造性过程的方式指导他们的交互，在正确的时间提供正确的反馈，并个性化内容信息。该提案的一个关键组成部分是在真实的课堂上广泛评估我们的算法和方法，使用一类灵活的教育软件，支持创造性过程的关键方面，如探索和试错。

Creativity is a dynamic process which generates ideas that are both novel and of value. Creativity has been shown to promote students’ critical thinking, self motivation and to promote students’ mastery of skills and concepts. Despite their increasing prevalence in schools, technological educational environments do not currently promote creativity in students’ interactions or support teachers’ ability to detect creative thinking by students. This proposal will develop methods and algorithms in artificial intelligence and learning analytics towards creating technology-based environments that support creative thinking by students, and teachers’ abilities to understand and support such behavior. The suggested proposal will contribute to basic research both in computer science and educational technology. It will provide novel computational models for describing creativity in technology based learning environments, and algorithms for detecting creative outcomes from students’ interactions with these environments. It will design visualizations and presentations for teachers in a way that aids their understanding of students’ interactions and allow them to intervene with this process when deemed necessary. Lastly, it will provide algorithms for producing machine-generated support that will adapt to the needs of students, directing their interactions in a way that facilitates the creative process, giving the right feedback at the right time, and personalizing content information. A crucial component of the proposal is to extensively evaluate our algorithms and methods in real classrooms, using a class of flexible educational software that support key aspects of creative processes, such as exploration and trial and error.