Abstract

Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have improved the system. It also provides results of a recent implementation of an adaptive logic that increases or decreases text difficulty based on students’ performance rather than presenting texts randomly. High school students who received adaptive text selection showed increased sense of learning. Adaptive text selection also resulted in greater pre-training to post-training comprehension test gains, especially for less-skilled readers. The findings demonstrate that system-driven, just-in-time support consistent with the goals of personalized learning benefit the efficacy of computer-based learning environments.

摘要

基于计算机的学习环境（CBLE）为大规模的个性化学习提供了前所未有的机会。一种这样的系统，iSTART（主动阅读和思考的互动策略培训）是一种自适应的，基于游戏的，用于阅读理解的辅导系统。本文介绍了如何通过增加个性化学习来改进系统。它还提供了自适应逻辑最近实现的结果，该自适应逻辑根据学生的表现而不是随机显示文本来增加或降低文本难度。接受自适应文本选择的高中生表现出增强的学习意识。自适应文本选择还导致从培训前到培训后的理解测试水平的提高，尤其是对于技能较低的读者而言。研究结果表明，系统驱动，