On Computing Learning Ontology with Mental Attributes

L. Devendra, A. Karunananda
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引用次数: 2

Abstract

Our research paper argues that learning can be made to be effective when it is learner-centered. Today learning is open to everyone. Knowledge acquisition is not restricted to vertical sources such as schools and colleges. Educational view point is to ensure that the learner has acquired knowledge through any means to ensure required levels of competencies. A learner may have acquired some knowledge without developing any analytical skills, effort to commit to learning or the ability to maintain a continuous process of learning. More seriously, the learner may not have developed adequate enthusiasm about a subject though it appears as if the learner has learned. From the educational viewpoint these are crucial issues that need to be addressed. As such measuring the development of mental attributes associated to a learning process is of great importance. Student learning styles vary enormously. Not all students respond positively to the same teaching techniques. Used well, learning technology can help turn the learning environment into a highly interactive, stimulating world where the student is totally embedded in the learning process. Learning technology can offer students control over their learning and flexibility, so that they can learn in the style that is most effective for each individual
基于心理属性的学习本体计算研究
我们的研究论文认为,以学习者为中心的学习是有效的。今天,学习向每个人开放。知识的获取并不局限于垂直来源,如学校和大学。教育的观点是确保学习者通过任何手段获得知识,以确保所需的能力水平。学习者可能在没有培养任何分析技能、努力学习或保持持续学习过程的能力的情况下获得了一些知识。更严重的是,学习者可能对一门学科没有足够的热情,尽管看起来好像学习者已经学过了。从教育的角度来看,这些都是需要解决的关键问题。因此,测量与学习过程相关的心理属性的发展是非常重要的。学生的学习方式千差万别。并不是所有的学生都对同样的教学方法有积极的反应。如果使用得当,学习技术可以帮助把学习环境变成一个高度互动、刺激的世界,让学生完全融入到学习过程中。学习技术可以让学生控制自己的学习和灵活性,这样他们就可以以对每个人最有效的方式学习
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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