A Conceptual Framework for Learning Systems Evaluation

Samantha Jim�nez, Reyes Ju�rez-Ram�rez, Alan Ram�rez-Noriega, �ngeles Quezada, Sergio Inzunza, V�ctor H. Castillo
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Abstract

A conceptual framework for learning systems evaluation based on literature review is proposed. Learning systems are the most recent way to carry out distance education by distributing learning material and processes over the Internet. It’s anytime, and any place vision could be part of a winning strategy for particular needs, such as provide support for students. However, there are many problems in the process of developing learning systems, particularly on evaluation such as what to evaluate, how many samples should be used and how much time should take the interaction with the system. This study purpose some answers to these questions based on literature review and experts opinions. This work does not pretend to be a final solution to these problems; it tries to provide some standardization of aspects involved in experiment design for evaluating learning systems. The conceptual framework includes some factors to be assessed; also, it proposed some instruments to measure each factor and some reference numbers of sample and interaction time. The framework is scalable, and as future work, it was suggested to enhance it adding more factors, instruments and other experimental characteristics such as statistic hypothesis test for each factor.
学习系统评估的概念框架
在文献综述的基础上,提出了一个学习系统评价的概念框架。学习系统是通过在因特网上分发学习材料和过程来进行远程教育的最新方式。在任何时间、任何地点,愿景都可以成为满足特定需求的制胜战略的一部分,比如为学生提供支持。然而,在开发学习系统的过程中存在许多问题,特别是在评估方面,例如评估什么,应该使用多少个样本以及与系统交互应该花费多少时间。本研究的目的是在文献回顾和专家意见的基础上回答这些问题。这项工作并不假装是这些问题的最终解决方案;它试图为评估学习系统的实验设计提供一些标准化的方面。概念框架包括一些需要评估的因素;并提出了测量各因素的仪器、样本参考数和相互作用时间。该框架具有可扩展性,在未来的工作中,建议对其进行增强,增加更多的因素、工具和其他实验特征,如对每个因素进行统计假设检验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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