Acquisition Process of a Miniature Artificial Language through an Audio-lingual Procedure.

10对大学生在以下两种不同的条件下学习一种微型人工语言（MAL）。在主动条件下，一名受试者通过与充当语言导师的个人计算机（NEC PC-9801）的交互来学习MAL。受试者沿着听计算机提供的MAL句子样本，并在彩色CRT上直观地呈现其含义。受试者产生的每个MAL句子都由连接到计算机的语音识别单元（NEC SR-150）处理，该单元解析句子并给出反馈。在被动条件下，另一个人通过观察主动主体与计算机之间的交互来学习相同的MAL。虽然行为主义学习理论会预测主动学习者的上级成绩，但结果却恰恰相反。主动学习者的学习成绩差主要归因于语音识别错误。另外两个分别由10对受试者参与的实验证实了这一结论。

Ten pairs of undergraduates learned a miniature, artificial language (MAL) under the following two different conditions. Under the Active condition, one subject learned the MAL through interactions with a personal computer, (NEC PC-9801) that acted as language tutor. The subject listened to sample MAL sentences provided by the computer along with their meaning visually presented on the color CRT. Each MAL sentence the subject produced was processed by the speech recognition unit (NEC SR-150) attached to the computer that parsed the sentence and gave a feedback. Under the Passive condition, the other of the pair, learned the same MAL through only observing the interactions between the Active subject and the computer. Although the Behaviorist learning theories would predict the superior performances of the Active learners, the results were the opposite. The poor performances of the Active learners were attributed to the speech recognition errors. Two additional experiments with ten pairs of subjects each confirmed this conclusion.