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How Much Assistance Is Helpful to Students in Discovery Learning?

机译:对发现学习的学生有多少帮助?

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How much help helps in discovery learning? This question is one instance of the assistance dilemma, an important issue in the learning sciences and educational technology research. To explore this question, we conducted a study involving 87 college students solving problems in a virtual chemistry laboratory (VLab), testing three points along an assistance continuum: (1) a minimal assistance, inquiry-learning approach, in which students used the VLab with no hints and minimal feedback; (2) a mid-level assistance, tutored approach, in which students received intelligent tutoring hints and feedback while using the VLab (i.e., help given on request and feedback on incorrect steps); and (3) a high assistance, direct-instruction approach, in which students were coaxed to follow a specific set of steps in the VLab. Although there was no difference in learning results between conditions on near transfer posttest questions, students in the tutored condition did significantly better on conceptual posttest questions than students in the other two conditions. Furthermore, the more advanced students in the tutored condition, those who performed better on a pretest, did significantly better on the conceptual posttest than their counterparts in the other two conditions. Thus, it appears that students in the tutored condition had just the right amount of assistance, and that the better students in that condition used their superior metacognitive skills and/or motivation to decide when to use the available assistance to their best advantage.
机译:在发现学习中有多少帮助?这个问题是援助困境的一个例子,这是学习科学和教育技术研究中的一个重要问题。为了探究这个问题,我们进行了一项研究,涉及87位大学生在虚拟化学实验室(VLab)中解决问题,并在一个援助连续体上测试了三个要点:(1)一种最小的帮助,探究式学习方法,其中学生使用了VLab没有任何提示,反馈也很少; (2)中级辅导式辅导方法,在此过程中,学生在使用VLab时会收到智能的辅导提示和反馈(即,应要求提供帮助以及对错误步骤的反馈); (3)高度协助,直接指导的方法,其中诱使学生遵循VLab中的特定步骤。尽管在近乎转移的测验问题上的条件之间的学习结果没有差异,但在辅导条件下的学生在概念上的测验问题上的表现明显优于其他两个条件下的学生。此外,处于辅导状态的高级学生,即那些在预测试中表现更好的学生,在概念性后测试中的表现要明显优于其他两个条件下的学生。因此,看来处于受辅导状态的学生获得的援助量恰到好处,而处于这种情况下的优秀学生会利用其卓越的元认知技能和/或动机来决定何时使用可用的援助来发挥其最大优势。

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