McNamara Danielle S, Levinstein Irwin B, Boonthum Chutima
Department of Psychology, University of Memphis, Memphis 38152, Tennessee, USA.
Behav Res Methods Instrum Comput. 2004 May;36(2):222-33. doi: 10.3758/bf03195567.
Interactive Strategy Training for Active Reading and Thinking (iSTART) is a Web-based application that provides young adolescent to college-age students with high-level reading strategy training to improve comprehension of science texts. iSTART is modeled after an effective, human-delivered intervention called self-explanation reading training (SERT), which trains readers to use active reading strategies to self-explain difficult texts more effectively. To make the training more widely available, the Web-based trainer has been developed. Transforming the training from a human-delivered application to a computer-based one has resulted in a highly interactive trainer that adapts its methods to the performance of the students. The iSTART trainer introduces the strategies in a simulated classroom setting with interaction between three animated characters-an instructor character and two student characters-and the human trainee. Thereafter, the trainee identifies the strategies in the explanations of a student character who is guided by an instructor character. Finally, the trainee practices self-explanation under the guidance of an instructor character. We describe this system and discuss how appropriate feedback is generated.
主动阅读与思考交互式策略训练(iSTART)是一个基于网络的应用程序,为青少年到大学生提供高级阅读策略训练,以提高对科学文本的理解。iSTART是以一种有效的、由人实施的干预措施——自我解释阅读训练(SERT)为模型开发的,SERT训练读者使用主动阅读策略更有效地自我解释难懂的文本。为了使训练更广泛地可用,已开发了基于网络的训练程序。将训练从由人实施的应用程序转变为基于计算机的程序,产生了一个高度交互式的训练程序,它会根据学生的表现调整其方法。iSTART训练程序在一个模拟课堂环境中介绍这些策略,其中有三个动画角色(一个教师角色和两个学生角色)与人类受训者进行互动。此后,受训者在由教师角色指导的学生角色的解释中识别这些策略。最后,受训者在教师角色的指导下练习自我解释。我们描述了这个系统,并讨论了如何生成适当的反馈。