兴趣驱动的探究性教学理论研究与实践探索——以大学算法课程为例

Theoretical Study and Practical Exploration of Inquiry Teaching Driven by Interest—A Case of College Algorithm Course

探究性教学有助于创新型人才的培养。针对目前部分探究性教学形式化、学生参与程度不高的问题,结合杜威的兴趣理论及科学探究理论,本文提出了兴趣驱动的探究性教学理论,该理论注重让趣味性充满探究性教学的每一个环节。然后结合算法课程教学实践,从情境创设、历史史料、一题多解、提出新问题、实践应用五个方面探索了算法课程中兴趣驱动的探究性教学方法,而教学过程中教师的语言感染力也很重要。

Inquiry teaching is useful to cultivate innovative talents. In response to the current issues of formalization of some inquiry teaching and low student participation, combined with Dewey’s interest theory and scientific inquiry theory, this article proposes an interest-driven inquiry teaching theory that makes fun filled with every aspect of inquiry teaching. Then reference to the teaching practice for algorithm curriculum, inquiry teaching methods driven by interest in algorithm curriculum were studied through five aspects of the creation of context, historical data, multiple solutions to one problem, putting forward the new problem, and practical application. In addition, the teacher’s language influence was also very important for our teaching experience.