自动化辅导系统:移动协同体验式学习(MCEL)

Insu Song, A. Bhati
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引用次数: 2

摘要

本文报道了一种新的模拟智能学习环境,称为MCEL(移动协同体验式学习)。MCEL提供自动化、持续、个性化、形成性的反馈。学生通过使用移动设备的简单文本信息与模拟学习系统进行交互,以便随着时间的推移将系统的状态更改为期望的状态。在此过程中,学生参与复杂的问题解决活动,系统提供持续的形成性评估,以帮助学生实现学习目标。与传统的总结性评估方法不同,学生在与模拟系统互动的过程中,在实现特定目标的过程中获得设定的能力水平。MCEL允许教师使用事件-条件-动作(ECA)规则和可靠的结构化文本解析器轻松定义学习过程。在一组20名IT学生中进行了MCEL的试点研究并进行了评估。观察他们的参与情况并进行调查。评估结果显示,MCEL支持课程设计、情境化实验学习和个性化形成性学习的建设性一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Tutoring System: Mobile Collaborative Experiential Learning (MCEL)
This paper reports a new simulated smart learning environment, called MCEL (Mobile Collaborative Experiential Learning). MCEL provides automated, continuous, personalized, formative feedback. Students interact with the simulated learning system via simple text messages using mobile devices in order to change the state of the system to a desired state over time. In the process, students engage in complex problem solving activities, and the system provides continuous formative assessment to help the students achieve learning objectives. Unlike conventional summative assessment approaches, students acquire set competency levels during their journey to achieving certain goals while interacting with the simulated system. MCEL allows instructors easily define learning journeys using event-condition-action (ECA) rules and reliable structured-text parser. A pilot study of MCEL is conducted and evaluated on a group of twenty IT students. Their participation is observed and a survey is conducted. The evaluation result show that MCEL supports constructive alignment in curriculum design, contextualized experimental learning, and personalized formative learning.
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