面向基于网络的自适应问题学习应用

Yongwu Miao, Disi Wang, Mbombui Nongho Fon-Pah, M. Samaka, H. Hoppe
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引用次数: 2

摘要

基于问题的学习(PBL)可以通过多种方式组织和实施。构建一个PBL应用程序来直接支持各种PBL形式是很困难的,因为不能完全了解可变性的范围,并且在时间和精力方面的成本很高。现有的PBL应用程序通常是为了支持特定形式的PBL而开发的。本文提出了一种模型驱动方法(MDA)来开发自适应PBL应用程序。我们应用模型驱动原则,使教师能够用PBL脚本语言将PBL脚本表示为正式模型,然后在运行时使用该模型在较高级别上管理改编的执行。因此,PBL应用程序的功能和用户界面可以根据用户的角色、PBL流程的阶段和活动进行调整。PBL应用程序的用户,特别是那些对PBL没有全面了解的用户,可以根据一个众所周知的PBL模型或最佳实践来指导和约束他们在正确的时间做正确的事情。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a Web-Based Adaptive Problem-Based Learning Application
Problem-based learning (PBL) can be organized and conducted in a number of ways. Building a PBL application to support various PBL forms directly is difficult because the scope of variability cannot be completely known and there is a high cost in terms of time and efforts incurred. Existing PBL applications are developed usually to support a specific form of PBL. In this paper we propose a model-driven approach (MDA) to the development of an adaptive PBL application. We apply model-driven principles to enable the teacher to represent a PBL script in a PBL scripting language as a formal model and then use the model at run-time for managing the executions of the adaptation at a high level. As a consequence, the functions and the user interfaces of the PBL application can be adjusted according to the role of the users, the phases and the activities of a PBL process. The users of the PBL application, especially those who have no comprehensive knowledge about PBL, can be guided and constrained to do right thing at right time following a well-known PBL model or a best practice.
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