自适应学习系统的技术会来自GBL吗?

David Moffat, Olga Shabalina, Aleksander Khairov
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引用次数: 0

摘要

基于游戏的学习(GBL)有一个相关领域可以借鉴:智能辅导系统(ITS)。这两个领域的一个共同关注点是适应性,即系统可以自动适应用户。为了支持这种适应,ITS通常会包括一个用户模型,也可能有一个正式的领域模型。几年前,这一领域的工作乐观地开始了,但似乎已经失去了最初的一些热情,或者转向了其他方向。我们浏览了最近的ITS文献,以帮助考虑这可能是为什么,并建议GBL如何可能是推动工作再次向前发展的最佳领域。学习者模型一直被认为对适应性学习系统很有用。它们包括关于学习者的信息,使系统能够根据学习者的特点调整学习材料和练习的课程。为了实现对用户的高质量适应,通常会添加所需领域知识的详细模型。然后必须将用户和领域模型结合在一起,为学习者制定练习课程,并在学习知识时跟踪进度。这是一个有吸引力的研究项目,但最近的工作转向了新的问题,比如mooc。造成这种情况的部分原因是机会主义和经济上的,但也表明研究项目存在更深层次的问题。开发一个领域模型是一项昂贵的任务,并且一个合适的学习者模型可以利用它。我们认为GBL在克服这一成本障碍方面处于有利地位,因为许多努力已经隐含在游戏设计过程中,为了制作出一款优秀的游戏,通常需要更严格地规划这一过程。因此,人们可能会期望自适应学习系统的下一个突破来自GBL。我们进一步认为,由ITS框架提供的研究优势,也可能有利于我们在游戏开发课程中向学生教授GBL主题的方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Could the Technology for Adaptive Learning Systems Come out of GBL?
Games based learning (GBL) has a related field that it can draw upon: intelligent tutoring systems (ITS). Acommon concern in both fields is adaptivity, whereby the system can automatically adapt to the user. In order to supportthis adaptation, an ITS will generally include a user model and may also have a formal domain model. Work in this areastarted optimistically some years ago, but seems to have either lost some of that initial enthusiasm or been diverted intoother directions. We scan recent ITS literature to help consider why this might be, and suggest how GBL may be the fieldbest placed to take the work forward again. Learner models have long been seen as useful for adaptive learning systems.They include information about the learner which allows the system to adapt the course of learning materials andexercises to the learner's particular characteristics. In order to achieve a good quality of adaptation to the user, a detailedmodel of the required domain knowledge is typically added. The user and domain models then have to be broughttogether to lay out a course of exercises for the learner to do, and to track progress as the knowledge is learned. It's anattractive research programme, but recent work has moved to new issues, such as MOOCs. The reasons for that are partlyopportunistic and economical, but also suggest a deeper problem with the research programme. It is a costly task todevelop a domain model, and a suitable learner model that can take advantage of it. We suggest that GBL is in a goodposition to push through this cost barrier, because much of the effort is already implicitly involved in the game designprocess, which typically has to be more rigorously planned out in order to make the game a good one. One might thusexpect the next breakthroughs in adaptive learning systems to come from GBL. We further argue that the advantages toresearch, offered by the ITS framework, are also potentially beneficial to the way we teach the subject of GBL to ourstudents on game development courses.
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