Active Learning in Computer-based College Algebra
Active Learning in Computer-based College Algebra
复制标题
基于计算机的大学代数主动学习
DOI：
10.1080/10511970.2019.1608487
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Joyce O’Halloran
中科院分区：
文献类型：
--
作者：
Steven Boyce;Joyce O’Halloran
摘要 我们描述了在大学代数课程中调整基于计算机的学习和同伴互动之间的平衡的过程。在我们的第一堂实验课中，学生们以商场形式使用了自适应学习程序 ALEKS。比较学生在商场形式课程和传统讲座形式课程中的表现，我们发现学生的程序技能有所提高，但对数学思想的概念理解存在弱点。因此，我们转向混合形式，减少 ALEKS（程序）主题的数量，并整合促进学生讨论数学概念的活动。在使用 ALEKS 的第三次迭代中，我们利用 ALEKS 生成的数据来设计与学生进度相匹配的点对点活动。
Abstract We describe the process of adjusting the balance between computer-based learning and peer interaction in a college algebra course. In our first experimental class, students used the adaptive-learning program ALEKS within an emporium-style format. Comparing student performance in the emporium format class with that in a traditional lecture format class, we found an improvement in procedural skills, but a weakness in the students’ conceptual understanding of mathematical ideas. Consequently, we shifted to a blended format, cutting back on the number of ALEKS (procedural) topics and integrating activities that fostered student discourse about mathematics concepts. In our third iteration using ALEKS, we made use of ALEKS-generated data to design peer-to-peer activities that matched student progress.