理解学生在情境丰富问题中的路径
Understanding Student Pathways in Context-rich Problems
摘要:
在本文中,我们调查了学生的问题解决行为的变化程度,由于工作的多方面,丰富的上下文问题。在学期中,两到三个学生组成的小组研究几个问题,这些问题需要一个以上的概念,因此不能用简单的即插即用的策略来解决。这些问题在一个数据丰富的在线问题解决环境中呈现给学生,该环境跟踪学生在试图解决问题时选择了哪些信息项。学生还完成各种任务,如将他们的定性分析输入在线表格。学生不受限制,以任何顺序完成这些任务。随着他们在解决多方面物理问题方面获得更多经验,学生群体表现出一些专家般的行为:更早的定性分析和更有选择性的信息请求。然而,仍有进一步改进的余地,因为大约一半的小组仍然在解决方案结束时完成定性分析任务,而不是在对他们的工作最有用的时候完成。
英文摘要:
In this paper we investigate the extent to which students' problem-solving behaviors change as a result of working on multi-faceted, context-rich problems. During the semester, groups of two to three students work on several problems that require more than one concept and hence cannot be readily solved with simple plug-and-chug strategies. The problems are presented to students in a data-rich, online problem-solving environment that tracks which information items are selected by students as they attempt to solve the problem. The students also complete a variety of tasks, such as entering their qualitative analysis into an online form. Students are not constrained to complete these tasks in any order. As they gain more experience in solving multifaceted physics problems, the student groups show some progression towards expert-like behavior: earlier qualitative analysis and more selective requests for information. However, there is room for more improvement as approximately half of the groups still complete the qualitative analysis task towards the end of the solution instead of earlier when it would be most useful to their work.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。